Databases / Data management Books
BPB Publications Excel BI and Dashboards in 7 Days
Book SynopsisEveryone thinks of Excel differently, and its full potential is often untapped. Businesses tend to decide to invest heavily in proper BI tools, perhaps wrongfully assuming that Excel has a minimal role in that industry. Excel can be used effectively to collect, refresh, transform, and visualize your data in beautiful and eye-catching ways. This book covers building those skills and unlocking Excel and your potential in just seven days. The book explores the process of cleaning your data to ensure accuracy, using formulas to enhance and prepare the same for PivotTables. It will also help you understand how to use data visualization to create clear charts to communicate insights effectively and construct interactive dashboards for user exploration, including elements like slicers and timelines. The book also dives into discovering design principles for easy-to-understand dashboards, while gaining knowledge on maintaining and updating them for ongoing usability.
£20.42
BPB Publications Databricks Lakehouse Platform Cookbook: 100+
Book Synopsis
£26.59
BPB Publications Building Decentralized Blockchain Applications
Book SynopsisExplore the engineering mechanism of blockchain, cryptocurrency, and Ethereum. Know-how of peer-to-peer networks, IPFS, and decentralized databases. Explore the workings of DApps and build your own blockchain app.
£27.99
S Chand & Co Ltd Database Management Systems (DBMS)
Book Synopsis
£16.88
Universities Press Data Science and Analytics with Python
Book SynopsisSalient features: Ideal for undergraduate courses on Data Science and Analytics; Provides step-by-step instructions for setting up the Python environment and executing various libraries and packages;
£28.49
Universities Press Big Data Analytics
Book SynopsisBig Data Analytics is intended for use as a textbook for third- and fourth-year students of B.E., B.Tech., B.Sc., BCA, MCA, and M.Tech. courses in IT, Software, and Computer Science Engineering. The book has been written to help students who enter the software industry to gain a broad understanding of Big Data and the nuances of handling it to extract useful information. Spread across 21 chapters, it elucidates the concept of Big Data and walks the reader through popular frameworks such as Hadoop, MongoDB, Pig and Hive that are used for processing Big Data.
£41.79
World Scientific Publishing Co Pte Ltd Way Of Data, The: From Technology To Applications
Book SynopsisEveryone is already in the era of big data. It is gradually changing people's lifestyles. Therefore, it is necessary to explore the development path of big data, balance the relationship between technology, policy, and the market, so that it can better serve human society.This comprehensive book introduces what big data is, big data processing systems, big data management technologies, and big data analysis methods in an easy-to-understand language. It explains the specific applications of big data in smart government affairs, economic development, and the improvement of people's livelihood and welfare.
£76.00
Springer Verlag, Singapore Advanced Machine Learning Technologies and
Book SynopsisThis book presents the refereed proceedings of the 5th International Conference on Advanced Machine Learning Technologies and Applications (AMLTA 2020), held at Manipal University Jaipur, India, on February 13 – 15, 2020, and organized in collaboration with the Scientific Research Group in Egypt (SRGE). The papers cover current research in machine learning, big data, Internet of Things, biomedical engineering, fuzzy logic and security, as well as intelligence swarms and optimization. Table of ContentsSegregating and Recognizing Human Actions from Video Footages using LRCN Technique.- Fall Alert: A Novel Approach to Detect Fall.- Evaluation of Automatic Text Visualization Systems: A Case Study.- Face Recognition Based Attendance System using Real Time Computer Vision Algorithms.- The Impact of Knowledge Management Adoption on the Government Sector’s Performance: The Case of Bahrain.- Video Surveillance for the Crime Detection using Features.- Real-time Neural-net Driven Optimized Inverse-kinematics for a Robotic Manipulator.- A Deep Learning Technique to Countermeasure Video Based Presentation Attacks.- Optimization of Loss Functions for Predictive Soil Mapping.- Natural Language Information Extraction through Non Factoid Question and Answering System.- An Enhanced Differential Evolution Algorithm with New Environmental-based Parameters for Solving Optimization Problems.- Reactive Power Optimization Approach based on Chaotic Particle Swarm Optimization.- Data Mining Model for Better Admissions in Higher Educational Institutions (HEIs) – A Case Study of Bahrain.- The Effectiveness of Renewable Energies Projects in Kuwait - PAAET Solar Energy Project.- Skin Lesion Analyser: An Efficient Seven-Way Multi-Class Skin Cancer Classification Using Mobile Net.- Real-Time Object Detection in Remote Sensing Images using Deep Learning.- Malaria Detection using Convolutional Neural Network.- Drone-Based Face Recognition using Deep Learning.- Traffic Sign Recognition for Self-Driving Cars with Deep Learning.- Identifying the Association Rule to Determine the Possibilities of Cardio Vascular Diseases(CVD).- Prediction of Service Level Agreement Violation in Cloud Computing using Bayesian Regularization.- A New Methodology for Language Identification in Social Media Code-mixed Text.- Detecting Influencers in Social Networks Through Machine Learning Techniques.- Application and Analysis of K-Means Algorithms on a Decision Support Framework for Municipal Solid Waste Management.- Android Rogue Application Detection using Image Resemblance and Reduced LDA.- An Indexed Non-Probability Skyline Query Processing Framework for Uncertain Data.- Analysis of Operational Control Mode of Intelligent Distribution Grids with Multi-microgrid.- Technical Present Situation based on Micro Grid Operation Control.- Skin Lesion Classification: A Transfer Learning Approach Using Efficient Nets.- Change Footprint Pattern Analysis of Crime Hotspot of Indian Districts.- Itemset Mining based Episode Profiling of Terrorist Attacks using Weighted Ontology.- Enabling Technologies in Banking Industry, Regulatory Technology RegTech and Money Laundering Prevention.- A Cognitive Knowledge Base for Learning Disabilities using Concept Analysis.- Native Monkey Detection using Deep Convolution Neural Network.- Evaluation and Summarization of Student Feedbacks Using Sentiment Analysis.- Predicting Competitive Weight Lifting Performance using Regression and Tree-based Algorithms.- Predicting the Primary Dominant Personality Trait of Perceived Leaders by Mapping Linguistic Cues from Social Media Data onto the Big-Five Model.- Analysis of Users behaviour on Micro Blogging Site using a Topic.- Machine Learning Techniques for Short Term Forecasting of Wind Power Generation.- Integrated Process Management System of Smart Substation Secondary Side based on Practical Scheme.- Research on Forms and Strategies of Alternative Energy Achieved.- Lightweight Access Control Algorithm for Internet of Things.- Named Entity Recognition for Legal Documents.- Visual Speech Processing and Recognition.- Predictive Analytics for Cardiovascular Disease Diagnosis using Machine Learning Techniques.- A Novel Approach for Smart Health Care Recommender System.- Heart Disorder Prognosis employing KNN, ANN, ID3 and SVM.- IoT based Home Security System with Wireless Communication.- Implementation of Internet of Things IoT in Small Business Industry: Case of Bahrain.- A Comparative Study of Model-Free Reinforcement Learning Approaches.- Location Aware Security System for Smart Cities using IoT.- An Assessment Study of Gait Biometric Recognition using Machine Learning.- A Study on Risk Management Practices in Online Banking in Bahrain.- Deep Learning Techniques: An Overview.- A Multilayer Deep Learning Framework For Auto-Content Tagging.- Case Based Reasoning (CBR) based Anemia Severity Detection System (ASDS) Using Machine Learning Algorithm.- ECG Signal Analysis, Diagnosis and Transmission.- The Effect of Real-Time Feedback on Consumer’s Behaviour in the Energy Management Sector: Empirical study.- Synchronization Control in Fractional Discrete-Time Systems with Chaotic Hidden Attractors.- Employment of Cryptographic Modus Operandi based on Trigonometric Algorithm and Resistor Color Code.- Experimental & Dimensional Analysis Approach for Human Energy Required In Wood Chipping Process.- Impact of High-k gate dielectric and Workfunctions Variation on Electrical Characteristics of VeSFET.- Correlating Personality Traits to Different Aspects of Facebook Usage.- Fractional Order control of a Fuel Cell-boost Converter System.- Battery Pack Construction Scheme based on UPS System Reliability.- Study on Land Compensation for High Voltage Transmission Lines in Power Grid based on Easement.- Study on the Terrain of Power Network Construction Expropriation and Legal Risk Prevention.
£224.99
Springer Verlag, Singapore Sparse Estimation with Math and R: 100 Exercises
Book SynopsisThe most crucial ability for machine learning and data science is mathematical logic for grasping their essence rather than knowledge and experience. This textbook approaches the essence of sparse estimation by considering math problems and building R programs. Each chapter introduces the notion of sparsity and provides procedures followed by mathematical derivations and source programs with examples of execution. To maximize readers’ insights into sparsity, mathematical proofs are presented for almost all propositions, and programs are described without depending on any packages. The book is carefully organized to provide the solutions to the exercises in each chapter so that readers can solve the total of 100 exercises by simply following the contents of each chapter.This textbook is suitable for an undergraduate or graduate course consisting of about 15 lectures (90 mins each). Written in an easy-to-follow and self-contained style, this book will also be perfect material for independent learning by data scientists, machine learning engineers, and researchers interested in linear regression, generalized linear lasso, group lasso, fused lasso, graphical models, matrix decomposition, and multivariate analysis.This book is one of a series of textbooks in machine learning by the same author. Other titles are: - Statistical Learning with Math and R (https://www.springer.com/gp/book/9789811575679) - Statistical Learning with Math and Python (https://www.springer.com/gp/book/9789811578762) - Sparse Estimation with Math and PythonTable of ContentsChapter 1: Linear Regression.- Chapter 2: Generalized Linear Regression.- Chapter 3: Group Lasso.- Chapter 4: Fused Lasso.- Chapter 5: Graphical Model.- Chapter 6: Matrix Decomposition.- Chapter 7: Multivariate Analysis.
£26.99
Springer Verlag, Singapore Knowledge Technology: Converting Data and Information into Valuable Ideas
Book SynopsisThis book reviews creative technologies that underpin the human activities of converting data and information into knowledge, creating new ideas based on that knowledge, and validating those ideas. The book calls such creative technology “knowledge technology” and explores its challenges in the age of big data. Today, artificial intelligence and big data are successfully performing pattern recognition and decision making on behalf of humans, who are incapable of processing large amounts of information instantly and accurately. In using only past data, however, there are limits to future predictions with artificial intelligence and big data. Humans need to take the lead in predicting or creating the future by trying to understand why data emerged. Knowledge technology contributes to that understanding, regardless of the field of origin. As a matter of fact, knowledge technology includes many technologies developed in informatics, management study, and systems science. The desirable features of knowledge technology are the complementary use of rational and intuitive approaches, the integration of results from quantitative and qualitative analyses, and the cooperation between artificial intelligence and humans.Table of Contents-Preface.- 1. Introduction.- 2. Defining Knowledge Technology.- 3. Integrative Knowledge Technologies.- 4. Converting Data/Knowledge into Information.- 5. Converting Information into Knowledge.- 6. Creating New Ideas from the Knowledge.- 7. Validating the Value of the New Ideas.- 8. Summary and Expectations.
£49.49
Springer Verlag, Singapore Personalized Privacy Protection in Big Data
Book SynopsisThis book presents the data privacy protection which has been extensively applied in our current era of big data. However, research into big data privacy is still in its infancy. Given the fact that existing protection methods can result in low data utility and unbalanced trade-offs, personalized privacy protection has become a rapidly expanding research topic.In this book, the authors explore emerging threats and existing privacy protection methods, and discuss in detail both the advantages and disadvantages of personalized privacy protection. Traditional methods, such as differential privacy and cryptography, are discussed using a comparative and intersectional approach, and are contrasted with emerging methods like federated learning and generative adversarial nets.The advances discussed cover various applications, e.g. cyber-physical systems, social networks, and location-based services. Given its scope, the book is of interest to scientists, policy-makers, researchers, and postgraduates alike.Table of Contents· Chapter 1: Introductiono Privacy research landscape o Personalized privacy overview o Contribution of this book o Remainder of the book · Chapter 2: Current Methods of Privacy Protection o Cryptography based methods o Differential privacy methods o Anonymity-based methods o Clustering-base methods o Machine learning and AI methods · Chapter 3: Privacy Attacks o Attack classification o Rationale of the attacks o The comparison of attacks · Chapter 4: Personalize Privacy Defense o Personalized privacy in cyber-physical systems o Personalized privacy in social networks o Personalized privacy in smart city o Personalized privacy in location-based services o Personalized privacy on the rise · Chapter 5: Future Directions o Trade-off optimization o Decentralized privacy protection o Privacy-preserving federated learning o Federated generative adversarial nets · Chapter6: Summary and Outlook
£49.49
Springer Verlag, Singapore Data Science and Security: Proceedings of IDSCS
Book SynopsisThis book presents the best-selected papers presented at the International Conference on Data Science, Computation and Security (IDSCS-2021), organized by the Department of Data Science, CHRIST (Deemed to be University), Pune Lavasa Campus, India, during April 16–17, 2021. The proceeding is targeting the current research works in the areas of data science, data security, data analytics, artificial intelligence, machine learning, computer vision, algorithms design, computer networking, data mining, big data, text mining, knowledge representation, soft computing, and cloud computing.Table of ContentsTowards a Knowledge Centric Semantic Approach for Text Summarization.- Detection of Abnormal Red Blood Cells using Features Dependent on Morphology and Rotation.- A Systematic Review of Challenges and Techniques of Privacy-Preserving Machine Learning.
£161.99
Springer Verlag, Singapore Foundations of Data Science for Engineering
Book SynopsisThis book is one-stop shop which offers essential information one must know and can implement in real-time business expansions to solve engineering problems in various disciplines. It will also help us to make future predictions and decisions using AI algorithms for engineering problems. Machine learning and optimizing techniques provide strong insights into novice users. In the era of big data, there is a need to deal with data science problems in multidisciplinary perspective. In the real world, data comes from various use cases, and there is a need of source specific data science models. Information is drawn from various platforms, channels, and sectors including web-based media, online business locales, medical services studies, and Internet. To understand the trends in the market, data science can take us through various scenarios. It takes help of artificial intelligence and machine learning techniques to design and optimize the algorithms. Big data modelling and visualization techniques of collected data play a vital role in the field of data science. This book targets the researchers from areas of artificial intelligence, machine learning, data science and big data analytics to look for new techniques in business analytics and applications of artificial intelligence in recent businesses.Table of ContentsIntroduction to Data Science.- Data Collection and Preparation.- Data Analysis and Machine learning Algorithms.- Data Visualization Tools and Data Modelling.- Data Science in Information, Communication and Technology.- Data Science in Civil & Mechanical Engineering.- Data Science in Clinical Decision System.- Conclusions.
£104.49
Springer Verlag, Singapore Proceedings of the Forum Math-for-Industry
Book SynopsisThis volume includes selected technical papers presented at the Forum “Math-for-Industry” 2018. The papers written by eminent researchers and academics working in the area of industrial mathematics from the viewpoint of financial mathematics, machine learning, neural networks, inverse problems, stochastic modelling, etc., discuss how the ingenuity of science, technology, engineering and mathematics are and will be expected to be utilized. This volume focuses on the role that mathematics-for-industry can play in interdisciplinary research to develop new methods. The contents are useful for researchers both in academia and industry working in interdisciplinary sectors.Table of ContentsA Brief Review of Some Swarming Models using Stochastic Differential Equations.- Copula-based estimation of Value at Risk for the portfolio problem.- An Overview of Exact Solution Methods for Guaranteed Minimum Death Benefit Options in Variable Annuities.- Determinantal reinforcement learning with techniques to avoid poor local optima.- Surface Denoising based on Normal Filtering in a Robust Statistics Framework.- Mathematical Modeling and Inverse Problem Approaches for Functional.- Clothing Design based on Thermal Mechanism.- Unique continuation on a sphere for Helmholtz equation and its numerical treatments.- Notes on Backward Stochastic Differential Equations for Computing XVA.
£134.99
Springer Verlag, Singapore Advances in Data and Information Sciences:
Book SynopsisThis book gathers a collection of high-quality peer-reviewed research papers presented at the 3rd International Conference on Data and Information Sciences (ICDIS 2021), held at Raja Balwant Singh Engineering Technical Campus, Agra, India, on May 14 – 15, 2021. In chapters written by leading researchers, developers, and practitioner from academia and industry, it covers virtually all aspects of computational sciences and information security, including central topics like artificial intelligence, cloud computing, and big data. Highlighting the latest developments and technical solutions, it will show readers from the computer industry how to capitalize on key advances in next-generation computer and communication technology.Table of ContentsITSA-KNN: Feature Selection Model Based on Improved Tree-Seed Algorithm and K-Nearest Neighbor for Network Intrusion Detection.- Cost-Effectiveness of Using Tablets for Digital Literacy Training in Tribal Areas of Rajasthan.- Multi-class weather classification: Comparative analysis of Machine learning algorithms.- Deep Learning Based Chatbot Framework ForMental Health Therapy.- Heart Disease Prediction using Core Machine Learning Techniques – A Comparative Study.- Predicting the presence of newt-amphibian using genetic programming.- Prediction of annual Indian Summer Monsoon Rainfall (ISMR) using Parametric Deep learning model.- Early-Stage Detection of Liver Disease through Machine Learning Algorithms.- Applications of High Dimensional Neural Networks: A Survey.- Breast Cancer Classification With Random Forest Classifier With Feature Decomposition Using Principal Component Analysis.- DDNA: A Modified Concept to DNA Cryptography.- A Comprehensive Study of AI-based Steganalysis Techniques on Image and Text Documents.- Image Tampering Forgery Detection using Convolutional Neural Network with Blockchain.
£116.99
Springer Verlag, Singapore Practical Guide to Life Science Databases
Book SynopsisThis book provides the latest information of life science databases that center in the life science research and drive the development of the field. It introduces the fundamental principles, rationales and methodologies of creating and updating life science databases. The book brings together expertise and renowned researchers in the field of life science databases and brings their experience and tools at the fingertips of the researcher. The book takes bottom-up approach to explain the structure, content and the usability of life science database. Detailed explanation of the content, structure, query and data retrieval are discussed to provide practical use of life science database and to enable the reader to use database and provided tools in practice. The readers will learn the necessary knowledge about the untapped opportunities available in life science databases and how it could be used so as to advance basic research and applied research findings and transforming them to the benefit of human life.Chapter 2 is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.Table of ContentsChapter 1: GENCODE Annotation for the Human and Mouse Genome: A User Perspective.- Chapter 2: Genecard a database for gene annotation.- Chapter 3: IHEC: International human epigenome portal.- Chapter 4: Atlas of miRNAs and their Promoters in Human and Mouse.- Chapter 5: RefEX- Reference Expression Dataset.- Chapter 6: The mouse Gene Expression Database.- Chapter 7: ChIP-Atlas.- Chapter 8: Protein structural changes based on structural comparison.- Chapter 9: Single Cell Databases: an Emerging and Essential Tool.- Chapter 10: scIVA: Single Cell Interactive Visualisation and Analysis Data Mining Platform.- Chapter 11: Access and visualise high quality gene expression data with Stemformatics.- Chapter 12: Introduction to Practical Guide to Life Science Databases.
£378.00
Springer Verlag, Singapore Proceedings of Data Analytics and Management:
Book SynopsisThis book includes original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM 2021), held at Jan Wyzykowski University, Poland, during June 2021. The book covers the topics in data analytics, data management, big data, computational intelligence, and communication networks. The book presents innovative work by leading academics, researchers, and experts from industry which is useful for young researchers and students.Table of ContentsCNN Based Feature Extraction for Visual Speech Recognition in Malayalam.- Effective Rate of Minority Class Over-Sampling for Maximizing the Imbalanced Dataset.- Spectral Efficiency Analysis of Massive MIMO.- Dental Cavity Detection using YOLO.- Development of Data Set for Automatic News Telecast System for Deaf Using ISL Videos.- A Comprehensive Survey on Content Based Image Retrieval using Machine Learning.- Machine Learning Techniques for Keystroke Dynamics.- Artificial Neural Network Approach for Multimodal Biometric Authentication System.- Malware Classification and Defence Against Adversarial Attacks.- Test Suite minimization based upon CMIMX and ABC.- Comparative Analysis on Machine Learning Methodologies for the Effective Usage of Medical WSNs.- Convolutional Neural Networks for Malaria Image Classification.- Plant Leaf Disease Identification and Prescription Suggestion Using Deep Learning.- Efficient Spectrum Allocation in Wireless Networks Using Channel Aggregation Fragmentation with Reservation Channels.- Toxic Comment Classification using Bi-Directional GRUs & CNN.- Climate Dependent Crop Management through Data Modeling.- Translate2Classify: Machine Translation for E-Commerce Product Categorization in comparison to Machine Learning & Deep Learning Classification.- Multimodal Biometric Authentication by Slap Swarm based Score Level Fusion.- Hybrid Metaheuristic Algorithm based Clustering with Multi-hop Routing Protocol for Wireless Sensor Networks.
£197.99
Springer Verlag, Singapore Proceedings of Data Analytics and Management:
Book SynopsisThis book includes original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM 2021), held at Jan Wyzykowski University, Poland, during June 2021. The book covers the topics in data analytics, data management, big data, computational intelligence, and communication networks. The book presents innovative work by leading academics, researchers, and experts from industry which is useful for young researchers and students.Table of ContentsPsychological stress and mental health among seafarers.- Real Time Face-Mask Detection and Analysis System.- Gait Recognition Biometric System.- Fighting Media Hyper-partisanship with Modern Language Representation Models.- ANN Based Handwritten Digit Recognition and Equation Solver.- Hyperspectral Imaging in Document Forgery.- Optimized Usability Features of Academic Websites using Chicken Swarm and Cat Swarm Optimization Algorithm.- Study and Development of Self Sanitizing Smart Elevator.- Predict COVID-19 with Chest X-ray.- Image Segmentation Techniques: A Survey.- Quantum Inspired Support Vector Machines for Human Activity Recognition in Industry 4.0.- Hybrid System based on Genetic Algorithm and Neuro-Fuzzy Approach for Neurodegenerative Disease Forecasting.- Decentralized Library Management system using Blockchain technology.- Content based Image Retrieval using Deep Learning.- A Deep Learning-Based Feature Extraction Model for Classification Brain Tumor.- Image Classification in Python using Keras.- Predictive Analytics on E-commerce Annual Sales.- A Survey on Deep Learning Methods in Image Analytics.- Journey of Letters to Vectors through Neural Networks.- Accident Risk Prediction and Location Tracking of a Vehicle using Real-Time Data Acquisition from Vehicle Sensors.- Data Augmentation and Fine Tuning the radiography images to detect COVID-19 patients with pre-trained network of Transfer Learning.- Index Optimization using Wavelet Tree and Compression.
£161.99
Springer Verlag, Singapore Proceedings of International Conference on
Book SynopsisThis book covers various topics, including collective intelligence, intelligent transportation systems, fuzzy systems, Bayesian network, ant colony optimization, data privacy and security, data mining, data warehousing, big data analytics, cloud computing, natural language processing, swarm intelligence, and speech processing. This book is a collection of high-quality research work on cutting-edge technologies and the most-happening areas of computational intelligence and data engineering. It includes selected papers from the International Conference on Computational Intelligence and Data Engineering (ICCIDE 2021).Table of ContentsGenetic Algorithm based vaccine optimization technique to control COVID-19.- Ethereum MongoDB: Integrating Blockchain with Non-Relational Databases.- Attention based Discrimination of Mycoplasma Pneumonia.- Minimum Weight Dominating Set using Chemical Reaction Optimization Algorithm.- A Hybrid Domain Fragile Watermarking Techniques for Authentication of Color Images.- IOT based Carbon Monoxide Monitoring Model for Transportation Vehicles.- TWEERIFY: A Web based Sentiment Analysis System using Rule and Deep Learning Techniques.- Machine Learning Based Fake News Detection on Covid-19 Tweets Data.- ADVERSE EFFECT OF ELECTROMAGNETICFREQUENCY ON HUMAN BEING HEALTH UNDER REAL LIFE SCENARIO: A COMPARATIVE STUDY.
£143.99
Springer Verlag, Singapore Machine Translation: 17th China Conference, CCMT 2021, Xining, China, October 8–10, 2021, Revised Selected Papers
Book SynopsisThis book constitutes the refereed proceedings of the 17th China Conference on Machine Translation, CCMT 2020, held in Xining, China, in October 2021. The 10 papers presented in this volume were carefully reviewed and selected from 25 submissions and focus on all aspects of machine translation, including preprocessing, neural machine translation models, hybrid model, evaluation method, and post-editing.Table of ContentsA Document-Level Machine Translation Quality Estimation Model Based on Centering Theory.- SAUNLP'S Submission for CCMT 2021 Quality Estimation Task.- BJTU-Toshiba's Submission to CCMT 2021 QE and APE task.- Low-resource Neural Machine Translation based on Improved Reptile Meta-Learning Method.- Semantic Perception-Oriented Low-resource Neural Machine Translation.- Semantic-aware Deep Neural Attention Network for Machine Translation Detection.- Routing Based Context Selection for Document-Level Neural Machine Translation.- Generating Diverse Back-translations via Constraint Random Decoding.- Machine Translation Evaluation Technical Report for CCMT' 2021.- BJTU's Submission to CCMT 2021 Translation Evaluation Task.
£49.49
Springer Verlag, Singapore Machine Learning: The Basics
Book SynopsisMachine learning (ML) has become a commonplace element in our everyday lives and a standard tool for many fields of science and engineering. To make optimal use of ML, it is essential to understand its underlying principles. This book approaches ML as the computational implementation of the scientific principle. This principle consists of continuously adapting a model of a given data-generating phenomenon by minimizing some form of loss incurred by its predictions. The book trains readers to break down various ML applications and methods in terms of data, model, and loss, thus helping them to choose from the vast range of ready-made ML methods.The book’s three-component approach to ML provides uniform coverage of a wide range of concepts and techniques. As a case in point, techniques for regularization, privacy-preservation as well as explainability amount to specific design choices for the model, data, and loss of a ML method. Table of ContentsIntroduction.- Components of ML.- The Landscape of ML.- Empirical Risk Minimization.- Gradient-Based Learning.- Model Validation and Selection.- Regularization.- Clustering.- Feature Learning.- Transparant and Explainable ML.
£44.72
Springer Verlag, Singapore Proceedings of the Fifth International Conference
Book SynopsisThis book (in three volumes) comprises the proceedings of the Fifth Conference of Transportation Research Group of India (CTRG2019) focusing on emerging opportunities and challenges in the field of transportation of people and freight. The contents of the volume include characterization of conventional and innovative pavement materials, operational effects of road geometry, user impact of multimodal transport projects, spatial analysis of travel patterns, socio-economic impacts of transport projects, analysis of transportation policy and planning for safety and security, technology enabled models of mobility services, etc. This book will be beneficial to researchers, educators, practitioners and policy makers alike.
£179.99
Springer Verlag, Singapore Computational Intelligence in Machine Learning:
Book SynopsisThe book includes select proceedings of the International Conference on Computational Intelligence in Machine Learning (ICCIML 2021). The book constitutes peer-reviewed papers on machine learning, computational intelligence, the internet of things, and smart city applications emphasizing multi-disciplinary research in artificial intelligence and cyber-physical systems. This book addresses the comprehensive nature of computational intelligence, artificial intelligence, machine learning, and deep learning to emphasize its character in modeling, identification, optimization, prediction, forecasting, and control of future intelligent systems. The book will be useful for researchers, research scholars, and students to formulate their research ideas and find future directions in these areas. It will help the readers to solve a diverse range of problems in industries and their real-world applications.Table of ContentsMachine Learning-based Project Resource Allocation Fitment Analysis System – (ML-PRAFS).- Electric Theft Detection using Un-supervised Machine Learning Based Matrix Profile and K Means Clustering Technique.- Placement Analysis – A New Approach to Ease the Recruitment Process.- Continuous Assessment Analyzer using Django.- Fuzzy Logic in Battery Energy Storage System (Bess).- Fault Classification of Cooling Fans using a CNN-based Approach.- Violence Recognition using Convolutional Neural Networks.- Automated Grading of Citrus Suhuiensis Fruit using Deep Learning Method.- The Future of Car Automation Field with Smart Driverless Technologies.- Diagnosis and Medicine Prediction for Covid-19 using Machine Learning Approach.- Automated Guided Vehicle Robot Localization with Sensor Fusion.- Implementation of Industrial Automation Water Distribution System Utilizing PLC: A Laboratory Set-up.- Control of Thin McKibben Muscles in an Antagonistic Pair Configuration.- Defect Severity Classification of Complex Composites using CWT and CNN.- Detection of Mobile Phone Usage While Driving using Computer Vision and Deep Learning.- Industry Revolution 4.0 Knowledge Assessment in Malaysia.
£332.49
Springer Verlag, Singapore Computational Intelligence in Machine Learning:
Book SynopsisThe book includes select proceedings of the International Conference on Computational Intelligence in Machine Learning (ICCIML 2021). The book constitutes peer-reviewed papers on machine learning, computational intelligence, the internet of things, and smart city applications emphasizing multi-disciplinary research in artificial intelligence and cyber-physical systems. This book addresses the comprehensive nature of computational intelligence, artificial intelligence, machine learning, and deep learning to emphasize its character in modeling, identification, optimization, prediction, forecasting, and control of future intelligent systems. The book will be useful for researchers, research scholars, and students to formulate their research ideas and find future directions in these areas. It will help the readers to solve a diverse range of problems in industries and their real-world applications.Table of ContentsMachine Learning-based Project Resource Allocation Fitment Analysis System – (ML-PRAFS).- Electric Theft Detection using Un-supervised Machine Learning Based Matrix Profile and K Means Clustering Technique.- Placement Analysis – A New Approach to Ease the Recruitment Process.- Continuous Assessment Analyzer using Django.- Fuzzy Logic in Battery Energy Storage System (Bess).- Fault Classification of Cooling Fans using a CNN-based Approach.- Violence Recognition using Convolutional Neural Networks.- Automated Grading of Citrus Suhuiensis Fruit using Deep Learning Method.- The Future of Car Automation Field with Smart Driverless Technologies.- Diagnosis and Medicine Prediction for Covid-19 using Machine Learning Approach.- Automated Guided Vehicle Robot Localization with Sensor Fusion.- Implementation of Industrial Automation Water Distribution System Utilizing PLC: A Laboratory Set-up.- Control of Thin McKibben Muscles in an Antagonistic Pair Configuration.- Defect Severity Classification of Complex Composites using CWT and CNN.- Detection of Mobile Phone Usage While Driving using Computer Vision and Deep Learning.- Industry Revolution 4.0 Knowledge Assessment in Malaysia.
£297.49
Springer Verlag, Singapore Artificial Intelligence with Python
Book SynopsisEntering the field of artificial intelligence and data science can seem daunting to beginners with little to no prior background, especially those with no programming experience. The concepts used in self-driving cars and virtual assistants like Amazon’s Alexa may seem very complex and difficult to grasp. The aim of Artificial Intelligence in Python is to make AI accessible and easy to understand for people with little to no programming experience though practical exercises. Newcomers will gain the necessary knowledge on how to create such systems, which are capable of executing tasks that require some form of human-like intelligence. This book introduces readers to various topics and examples of programming in Python, as well as key concepts in artificial intelligence. Python programming skills will be imparted as we go along. Concepts and code snippets will be covered in a step-by-step manner, to guide and instill confidence in beginners. Complex subjects in deep learning and machine learning will be broken down into easy-to-digest content and examples. Artificial intelligence implementations will also be shared, allowing beginners to generate their own artificial intelligence algorithms for reinforcement learning, style transfer, chatbots, speech, and natural language processing.Table of ContentsPart I Python.- 1 About Python.- 2 What’s Python?.- 3 An Introductory Example.- 4 Basic Python.- 5 Intermediate Python.- 6 Advanced Python.- 7 Python for data analysis.- Part II Artificial Intelligence Basics.- 8 Introduction to artificial intelligence.- 9 Data wrangling.- 10 Regression.- 11 Classification.- 12 Clustering.- 13 Association Rules.- Part III Artificial Intelligence.- Implementations.- 14 Text Mining.- 15 Image Processing.- 16 Convolutional Neural Networks.- 17 Chatbot, Speech and NLP.- 18 Deep Convolutional Generative Adversarial Network.- 19 Neural style transfer.- 20 Reinforcement learning.- 21 References.
£45.55
Springer Verlag, Singapore Big Data in Energy Economics
Book SynopsisThis book combines energy economics and big data modeling analysis in energy conversion and management and comprehensively introduces the relevant theories, key technologies, and application examples of the smart energy economy. With the help of time series big data modeling results, energy economy managers develop reasonable and feasible pricing mechanisms of electricity price and improve the absorption capacity of the power grid. In addition, they also carry out scientific power equipment scheduling and cost–benefit analysis according to the results of data mining, so as to avoid the loss caused by accidental damage of equipment. Energy users adjust their power consumption behavior through the modeling results provided and achieve the effect of energy saving and emission reduction while reasonably reducing the electricity expenditure.This book provides an important reference for professionals in related fields such as smart energy, smart economy, energy Internet, artificial intelligence, energy economics and policy.Table of ContentsChapter 1 Introduction1.1 Overview of Research Progress in Energy Economics1.2 Key Technologies of Energy Internet in Energy Economics1.3 Big Data Demand Analysis for Energy Economics1.4 Scope of This Book1.5 ReferencesChapter 2 Big Data Analysis of Energy Economics in Oil Market 2.1 Introduction2.2 Influencing Factors Analysis of Oil Prices2.3 Big Data Forecasting of Oil Prices2.4 Econometric Analysis of Oil Prices2.5 Conclusions2.6 ReferencesChapter 3 Big Data Analysis of Energy Economics in Coal Market3.1 Introduction3.2 Influencing Factors Analysis of Coal Prices3.3 Big Data Forecasting of Coal Prices3.4 Econometric Analysis of Coal Prices3.5 Conclusions3.6 ReferencesChapter 4 Big Data Analysis of Energy Economics in Wind Power Market4.1 Introduction4.2 Multi-Temporal and Spatial Scale Wind Power Big Data Forecasting4.3 Conversion Efficiency of Wind Power Energy 4.4 Market Economy Analysis of Wind Power Application4.5 Conclusions4.6 ReferencesChapter 5 Big Data Analysis of Energy Economics in Photovoltaic Power Generation Market5.1 Introduction5.2 Big Data Forecasting of Photovoltaic Power Generation5.3 Photovoltaic Power Consumption by Small and Medium-sized Users5.4 Photovoltaic Power Consumption in Urban Public Areas5.5 Market Economy Analysis of Photovoltaic Systems5.6 Conclusions5.7 ReferencesChapter 6 Big Data Analysis of Energy Economics in Power Market 6.1 Introduction6.2 Big Data Forecasting of Urban Electricity Prices6.3 Correlation Analysis of Urban Energy Consumption and Economic Growth6.4 Metering Charge Adjustment Analysis of City Electricity Prices6.5 Conclusions6.6 ReferencesChapter 7 Big Data Management of Energy Conservation and Emission Reduction in Smart Cities7.1 Introduction7.2 Non-intrusive Identification of Smart Electrical Equipment7.3 Electricity Consumption Behavior Guidance in Smart Cities 7.4 Effectiveness Analysis of Energy Conservation and Emission Reduction in Smart Cities7.5 Conclusions7.6 ReferencesChapter 8 Optimization Analysis of Clean Energy Transformation8.1 Introduction8.2 Efficiency Analysis of Energy Utilization Under Diversified Development8.3 Analysis of Reasonable Energy Consumption Patterns8.4 Economic Analysis of Clean Energy Transformation8.5 Conclusions8.6 ReferencesChapter 9 Global Energy Internet: Green and Low-Carbon Energy Economic Innovation9.1 Introduction9.2 Reform and Innovation of the New Energy System Under the Energy Internet9.3 Energy Saving and Emission Reduction Under the Energy Internet9.4 Healthy Construction of the Ecological Environment Under the Energy Internet9.5 Conclusions9.6 References
£52.24
Springer Verlag, Singapore Nutrigenomics and the Brain
Book SynopsisDr. Mohammed Salama is Atlantic senior fellow for Equity in brain health at the Global Brain Health Institute (GBHI) and Associate professor at the Institute of Global Health and Human Ecology at the American University in Cairo (AUC). He established the first Translational Neuroscience Unit in Egypt. Mohamed’s collaborative research led to establishing the Egyptian Network for Neurodegenerative Disorders Mohamed was selected as a SOT Global Senior Scholar in 2013 and Translational/bridging awardee in 2016. He was awarded by Parkinson’s and Movement Disorders Foundation (PMDF) for his continued research in neurodegeneration. Recently, Mohamed and his colleagues succeeded in drafting the first Reference Egyptian Genome and collaborating with other colleagues to start a national cohort (A Longitudinal Study of Egyptian Health Aging [AL-SEHA]). Table of ContentsChapter 1. Nutrigenomics; a broader concept.- Chapter 2. Gene-environment interaction.- Chapter 3. Gene-gut-brain - axis (gene–based personalized medicine).- Chapter 4. Nutrigenomics of aging.- Chapter 5. Nutrigenomics and Mental health.- Chapter 6. Nutrigenomics and neurodevelopmental disorders.- Chapter 7. Nutrigenomics and Alzheimer’s disease.- Chapter 8. Nutrigenomics and Parkinson’s Disease.- Chapter 9. Nutrigenomics, nutrigenetics and big data.- Chapter 10. Nutrigenomics and Development.- Chapter 11. Early Child malnutrition and neurodevelopment.- Chapter 12. The emerging role of vit D deficiency and Parkinson’s Disease risk.- Chapter 13. Nutrigenomics and autophagy crosstalk.- Chapter 14. Nanoparticles in food additives and brain health.
£151.99
Springer Verlag, Singapore Artificial Intelligence with Python
Book SynopsisEntering the field of artificial intelligence and data science can seem daunting to beginners with little to no prior background, especially those with no programming experience. The concepts used in self-driving cars and virtual assistants like Amazon’s Alexa may seem very complex and difficult to grasp. The aim of Artificial Intelligence in Python is to make AI accessible and easy to understand for people with little to no programming experience though practical exercises. Newcomers will gain the necessary knowledge on how to create such systems, which are capable of executing tasks that require some form of human-like intelligence. This book introduces readers to various topics and examples of programming in Python, as well as key concepts in artificial intelligence. Python programming skills will be imparted as we go along. Concepts and code snippets will be covered in a step-by-step manner, to guide and instill confidence in beginners. Complex subjects in deep learning and machine learning will be broken down into easy-to-digest content and examples. Artificial intelligence implementations will also be shared, allowing beginners to generate their own artificial intelligence algorithms for reinforcement learning, style transfer, chatbots, speech, and natural language processing.Table of ContentsPart I Python.- 1 About Python.- 2 What’s Python?.- 3 An Introductory Example.- 4 Basic Python.- 5 Intermediate Python.- 6 Advanced Python.- 7 Python for data analysis.- Part II Artificial Intelligence Basics.- 8 Introduction to artificial intelligence.- 9 Data wrangling.- 10 Regression.- 11 Classification.- 12 Clustering.- 13 Association Rules.- Part III Artificial Intelligence.- Implementations.- 14 Text Mining.- 15 Image Processing.- 16 Convolutional Neural Networks.- 17 Chatbot, Speech and NLP.- 18 Deep Convolutional Generative Adversarial Network.- 19 Neural style transfer.- 20 Reinforcement learning.- 21 References.
£37.85
Springer Verlag, Singapore Data Deduplication for High Performance Storage
Book SynopsisThis book comprehensively introduces data deduplication technologies for storage systems. It first presents the overview of data deduplication including its theoretical basis, basic workflow, application scenarios and its key technologies, and then the book focuses on each key technology of the deduplication to provide an insight into the evolution of the technology over the years including chunking algorithms, indexing schemes, fragmentation reduced schemes, rewriting algorithm and security solution. In particular, the state-of-the-art solutions and the newly proposed solutions are both elaborated. At the end of the book, the author discusses the fundamental trade-offs in each of deduplication design choices and propose an open-source deduplication prototype. The book with its fundamental theories and complete survey can guide the beginners, students and practitioners working on data deduplication in storage system. It also provides a compact reference in the perspective of key data deduplication technologies for those researchers in developing high performance storage solutions.Table of ContentsPreface.- Deduplication: Beginning from Data Backup System.- Overview of Data Deduplication.- Chunking Algorithms.- Indexing Schemes.- Rewriting Algorithms.- Secure Deduplication.- Post-deduplication Delta Compression Schemes.- The Framework of Data Deduplication.- References.
£98.99
Springer Verlag, Singapore Data Ethics and Challenges
Book SynopsisThis book gives a thorough and systematic introduction to Data, Data Sources, Dimensions of Data, Privacy, and Security Challenges associated with Data, Ethics, Laws, IPR Copyright, and Technology Law. This book will help students, scholars, and practitioners to understand the challenges while dealing with data and its ethical and legal aspects. The book focuses on emerging issues while working with the Data.Table of ContentsData and its Dimensions.- Data Privacy.- Data Security.- Data Ethics.- Intellectual Property Right – Copyright.
£42.74
Springer Verlag, Singapore Computer Networks, Big Data and IoT: Proceedings
Book SynopsisThis book presents best selected research papers presented at the International Conference on Computer Networks, Big Data and IoT (ICCBI 2021), organized by Vaigai College Engineering, Madurai, Tamil Nadu, India, during December 9–10, 2021. The book covers original papers on computer networks, network protocols and wireless networks, data communication technologies and network security. The book is a valuable resource and reference for researchers, instructors, students, scientists, engineers, managers and industry practitioners in those important areas.Table of ContentsChapter 1. Rakshak – Prototype Application to Depict Crime Hotspot and Safest Path between locations.- Chapter 2. Block Chain Technology in Application Development and Associated Challenges.- Chapter 3. Hybrid Statistical and Deterministic Based Pedestrian Tracking Algorithm for Location-Based IoT Applications.- Chapter 4. MAC based Secure Data Transmission in Vehicular Adhoc Networks.- Chapter 5. A Study on Challenges in Data Security During Data Transformation.- Chapter 6. An Edge-based Disjoint Path Selection Scheme for FANETs.- Chapter 7. Sign Language Interpreter.- Chapter 8. Architectural Insight of Neural Information Extraction, Retrieval and Processing for Multi-Modal Neural Search.- Chapter 9. A Comparative Study Analysis on Air Monitoring and Purification Systems.- Chapter 10. Malicious Node Detection and Prevention for Secured Communication in WSN.- Chapter 11. Performance Analysis and Assessment of Various Energy Efficient Clustering based Protocols in WSN.- Chapter 12. Academic Data Analysis and Projection using Artificial Intelligence.- Chapter 13. Analysis of Factor Verification Affecting Recruitment Process through Social Dynamics.- Chapter 14. Routing Protocols in an Opportunistic Network: A Survey.- Chapter 15. K-Splits: Improved K-Means Clustering Algorithm to Automatically Detect the Number of Clusters.
£179.99
Springer Verlag, Singapore The Rise of Artificial Intelligence and Big Data
Book SynopsisThis book presents a study of the COVID-19 pandemic using computational social scientific analysis that draws from, and employs, statistics and simulations. Combining approaches in crisis management, risk assessment and mathematical modelling, the work also draws from the philosophy of sacrifice and futurology. It makes an original contribution to the important issue of the stability of society by highlighting two significant factors: the COVID-19 crisis as a catalyst for change and the rise of AI and Big Data in managing society. It also emphasizes the nature and importance of sacrifices and the role of politics in the distribution of sacrifices. The book considers the treatment of AI and Big Data and their use to both “good” and “bad” ends, exposing the inevitability of these tools being used. Relevant to both policymakers and social scientists interested in the influence of AI and Big Data on the structure of society, the book re-evaluates the ways we think of lifestyles, economic systems and the balance of power in tandem with digital transformation.Table of ContentsChapter 1. A Worldview Seen From Sacrifices.- Chapter 2. Crises, Risks and Sacrifices.- Chapter 3. A Crisis of COVID-19 and its Sacrifices.- Chapter 4. Formalizing Models on COVID-19 Pandemic.- Chapter 5. For Balancing Health Care and Economics.- Chapter 6. Five Virtues to be Digitized Norms.- Chapter 7. Synchronizing Everything to the Digitized World.- Chapter 8. A Living Way in the Digitized World.- Chapter 9. A New World in Motion.- Chapter 10. Digitized Shifts of Regime and Hegemony.- Chapter 11. On Balance of Power.- Chapter 12. For Strategies in The Age of After Corona.- Chapter 13. Conclusion.
£107.99
Springer Verlag, Singapore Smart Cities and Smart Communities: Empowering
Book Synopsis“Smart City” programs and strategies have become one of the most dominant urban agendas for local governments worldwide in the past two decades. The rapid urbanization rate and unprecedented growth of megacities in the 21st century triggered drastic changes in traditional ways of urban policy and planning, leading to an influx of digital technology applications for fast and efficient urban management. With the rising popularity in making our cities “smart”, several domains of urban management, urban infrastructure, and urban quality-of-life have seen increasing dependence on advanced information and communication technologies (ICTs) that optimize and control the day-to-day functioning of urban systems. Smart Cities, essentially, act as digital networks that obtain large-scale real-time data on urban systems, process them, and make decisions on how to manage them efficiently. The book presents 26 chapters, which are organized around five topics: (1) Conceptual framework for smart cities and communities; (2) Technical concepts and models for smart city and communities; (3) Civic engagement and citizen participation; (4) Case studies from the Global North; and (5) Case studies from the Global South.Table of ContentsIntroduction.- Technology Talks: The Evolution and Rhetoric of Smartcities.- Projects for Smart Cities: Ecosystems, Connected Intelligence and Innovation Driving the Radical Transformation of Cities.- The Histories of New (Geo)politics of Smart Villages Communities in a Global World: A Contribution to Geographical Debate.- Identifying, Mapping and Measuring Europe’s Smart Cities and Digital Divides: Hyperlink Variations in Primary, Secondary and Tertiary Cities.- Role of Smart Dustbin in Creating a Smart Environment.- Smart Technologies and Aging Society.- Conceptual Model of Mixed-methods Civic Engagement Infrastructure Using Cloud-based Computing Combined with On-site Engagement and Action Projects.- Digital Placemaking: An Analysis of Citizen Participation in Smart Cities.- Historian for a Day: A Use Case of Augmented Reality in Civic Engagement.
£134.99
Springer Verlag, Singapore Data Engineering and Intelligent Computing:
Book SynopsisThis book features a collection of high-quality, peer-reviewed papers presented at the Fifth International Conference on Intelligent Computing and Communication (ICICC 2021) organized by the Department of Computer Science and Engineering and the Department of Computer Science and Technology, Dayananda Sagar University, Bengaluru, India, on 26–27 November 2021. The book is organized in two volumes and discusses advanced and multi-disciplinary research regarding the design of smart computing and informatics. It focuses on innovation paradigms in system knowledge, intelligence and sustainability that can be applied to provide practical solutions to a number of problems in society, the environment and industry. Further, the book also addresses the deployment of emerging computational and knowledge transfer approaches, optimizing solutions in various disciplines of science, technology and health care.Table of ContentsEnhancement of Image Forgery and Improvement of Image Parameters Using DWT Algorithm.- Derivation of DUS-Defined Physiological and Color Features of Okra Fruit Using Machine Vision Technology.- Application-Oriented Content Quality Analysis of Data Using Python.- An Improved Similarity Measure Based on Collaborative Filtering for Sparsity Problem in Recommender Systems.- Detection and Classification of Bird Pest Using Spectrogram, Physical Imagery, and Convolutional Neural Network.- Scatter Index: An Alternative Measure of Dispersion Based on Relative Frequency of Occurrence of Observations
£179.99
Springer Verlag, Singapore Proceedings of International Conference on
Book SynopsisThis book includes selected papers presented at International Conference on Computational Intelligence, Data Science,, and Cloud Computing (IEM-ICDC 2021), organized by the Department of Information Technology Institute of Engineering and Management, Kolkata, India, during December 22 – 24, 2021. It covers substantial new findings about AI and robotics, image processing and NLP, cloud computing and big data analytics as well as in cyber-security, blockchain and IoT, and various allied fields. The book serves as a reference resource for researchers and practitioners in academia and industry.Table of ContentsAutoDrone: Shortest Optimized Obstacle-Free Path Planning for Autonomous Drones.- Transfer Learning and Transformer Architecture for Financial Sentiment Analysis.- Feature Extraction and Machine Learning for the Classification of Fashion Materials.- Cardamom Quality Evaluation Employing Electronic Nose.- COVID-DeepNet: Deep Convolutional Neural Network Architecture Designed for Early Prognosis of COVID-19 using Post-Anterior View of Chest X-Rays.- Analytical Study on Feature Selection for Big Data using Optimization Algorithms.- A Machine Learning Approach for Predicting the Death Time and Mortality.- Prediction of Crops Production Using Random Forest Regression.- Drowsy Driving Detection based on Deep Neural Network for Accident Avoidance.- An Intelligent Fire-Extinguishing Robotic System to Combat fire in Coal Mines.
£208.99
Springer Verlag, Singapore Industry 4.0: Technologies, Applications, and
Book SynopsisThis book presents Industry 4.0 enabler technologies and tools. It also highlights some of the existing empirical applications in the context of manufacturing. The book elucidates innovative thematic concepts of Industry 4.0 and its perspectives. It establishes routes to empirically utilize Industry 4.0 standards for manufacturing companies. The book can be used as a reference for professionals/engineers, researchers, and students.Table of ContentsIndustry 4.0 concepts, technologies and its ecosystemCyber-physical system: enabler technologies, concepts and its role in industry 4.0 The Internet of Things: success stores and challenges in manufacturing Blockchain technology and its role in industry 4.0Blockchain technology applications and challenges in Industry 4.0 Industry 4.0 technologies in product design: Virtual design and Manufacturing, Augmented reality Digital Twins and its applications Big data analytics in industry 4.0Industry 4.0 in pharmaceutical industry: Towards pharma 4.0 Industry 4.0 in military: Towards military 4.0 Towards Industry 5.0: what Cognitive cyber physical system is?
£94.99
Springer Verlag, Singapore Ubiquitous Intelligent Systems: Proceedings of
Book SynopsisThis book features a collection of high-quality, peer-reviewed papers presented at the Second International Conference on Ubiquitous Intelligent Systems (ICUIS 2022) organized by Shree Venkateshwara Hi-Tech Engineering College, Tamil Nadu, India, during March 10–11, 2022. The book covers topics such as cloud computing, mobile computing and networks, embedded computing frameworks, modeling and analysis of ubiquitous information systems, communication networking models, big data models and applications, ubiquitous information processing systems, next-generation ubiquitous networks and protocols, advanced intelligent systems, Internet of Things, wireless communication and storage networks, intelligent information retrieval techniques, AI-based intelligent information visualization techniques, cognitive informatics, smart automation systems, health care informatics and bioinformatics models, security and privacy of intelligent information systems, and smart distributed information systems.Table of ContentsDevelopment of a Linear-Scaling Consensus Mechanism of the Distributed Data Ledger Technology.- A Six-Point Based Approach for Enhanced Broadcasting using Selective Forwarding Mechanism in Mobile Ad Hoc Networks.- Crop Price Prediction using Machine Learning Naive Bayes Algorithms.- The Performance Evaluation of Adaptive energy Conservation Scheme using IoT.- Towards the prominent use of Internet of Things(IoT) in Universities.- Depression Analysis of Real Time Tweets during Covid Pandemic.- Diabetic Retinopathy Detection Using Deep Learning.- Regional Language Translator using Natural Language Processing.- Fabric Defect Detection using Deep Learning Techniques.- Analysis of Research Paper Titles Containing Covid-19 keyword using Various Visualization Techniques.- Survey on Handwritten Characters Recognition in Deep Learning.- A Survey on Wild Creatures Alert System to Protect Agriculture Lands Domestic Creatures and People.- A Study on Surveillance System using Deep Learning Methods.- IRHA: An Intelligent RSSI based Home automation System.- A Review Paper on Machine Learning Techniques & Its Applications in Health Care Sector.- Enhanced Mask-RCNN for Ship Detection and Segmentation.- Data Scientist Job Change Prediction Using Machine Learning Classification Techniques.- Error Correction Scheme with Decimal Matrix Code for SRAM Emulation TCAMs.- Knowledge Discovery in Web usage Patterns using Pageviews and Data Mining Association.- Video Anomaly Detection using Optimization based Deep Learning.- A Fusional Cubic-Sine Map model for Secure Medical Image Transmission.- Innovative Technologies Developed for Autonomous Marine Vehicles by ENDURUNS Project.- Machine Learning Approaches to Predict Breast Cancer: Bangladesh Perspective.- A Comparative Review on Image Analysis with Machine Learning for Extended Reality (XR) Applications.- SWOT Analysis of Behavioural Recognition through Variable Modalities.- E-Mixup and Siamese Networks for Musical Key Estimation.- Microarray Data Classification using Feature Selection and Regularized Methods with Sampling Methods.- Visual Place Recognition using Region of Interest Ex-traction with Deep Learning based Technique.- Electronic Mobility Aid for Detection of Roadside Tree Trunks and Street-Light Poles.- Real Time Video Image Edge Detection System Using MyRIO.- Research Paper to Design & Develop an Algorithm for Optimization Chatbot.- Analysis of MRI Images to Discover Brain Tumor Detection Using Convolutional Neural Network and VGG-16.- Missing Data Recovery using Tensor Completion-based models for IoT-based Air Quality Monitoring System.- Stock Market Prediction through a Chatbot : A Human-Centered AI Approach.- Air Writing Recognition using Mediapipe and OpenCV.- Blockchain based Email Communication with Sha-256 Algorithm.- Sentimental Analysis on Amazon Reviews using Machine Learning.- Season based Crop Recommendation System using Transfer Learning: A Review.- Speed breaker Identification using Deep Learning Convolutional Neural Network.- Political Communication and Election Result: Facebook Account Analysis Jambi Governor Candidates in the 2020 Regional Election.- Intelligent System for Diagnosis of Pulmonary Tuberculosis using XGBoosting Method.- Web based Voice Assistant for Railways using Deep Learning Approach.- Segmentation and Classification Approach to Improve Breast Cancer Screening.- Analysis of a Software tool Developed to Determine the Activity of Anomalous Processes.- Study of Wave Models of Trajectories and Signals of Loading e ects in Computer Echolocation.- EnneaOntology: A Proposed Enneagram Ontology.- IoT based Signal Patrolling for Precision Vehicle Control.- Land use/cover Novel Dataset Based on Deep Learning: Case study of Fayoum, Egypt.- Exploring The effect of Word Embeddings and Bag-of-Words for Vietnamese Sentiment Analysis.- A Portable System for Automated Measurement of Striped Catfish Length using Computer Vision.- IoT based Automated Monitoring System for the Measurement of Soil Quality.- Pattern Recognition on Railway Points with Machine Learning: A Real Case Study.- Sustainability in Development of Grant Applications.- New Category of Equivalence Classes of Intuitionistic Fuzzy Delta-Algebras with their Applications.- Deep Neural Networks for Stock Market Price Predictions in VUCA Environments.- Building a Traffic flow Management System based on Neural Networks.- The Impact of Ruang Cerita Application on the Neuro Depression and Anxiety of Private University Students.- JobSeek Mobile Application: Helps Reduce Unemployment on the Agribusiness Sectors During New Normal.- Application's Impact on the SepuisLife Company's Insurance Sales Process During the Pandemic.- The Effect of Learning Using Videos on Online Learning of Private University during the Covid-19 Pandemic.- Implementation of Artificial Intelligence and Robotic that Replace Employee in Indonesia.- The Impact of Online Game Brain Addiction on Computers and Cellphones on College Students Who Take Online Classes.
£208.99
Springer Verlag, Singapore Smart Transportation Systems 2022: Proceedings of
Book SynopsisThis book gathers selected papers presented at the KES International Symposium on Smart Transportation Systems (KES STS 2022). Modern transportation systems have undergone a rapid transformation in recent years, producing a range of technological innovations such as connected vehicles, self-driving cars, electric vehicles, Hyperloop, and even flying cars, and with them, fundamental changes in transport systems around the world. The book discusses current challenges, innovations, and breakthroughs in smart transportation systems, as well as transport infrastructure modeling, safety analysis, freeway operations, intersection analysis, and other related cutting-edge topics.
£179.99
Springer Verlag, Singapore Advanced Blockchain Technology: Frameworks and
Book SynopsisThis book is a must-have for blockchain developers who want to learn from scratch how to leverage blockchain technology in a real-world setting. The first section provides a brief overview of blockchain technology, including its concepts, history, technology genre, major related companies and typical application scenarios, and presents an ecological map for the blockchain industry by comparing and analyzing some mainstream platforms.The second section systematically introduces Ethereum and HyperLedger, exemplars of well-known open-source blockchain platforms, and demonstrates how to conduct blockchain applications development based on the two platforms.The third section illustrates core technology of enterprise blockchain platforms (to take Hyperchain, an independent, controllable blockchain alliance as an example), and covers Hyperchain based enterprise blockchain applications development technology.The fourth section presents 6 actual blockchain-based applications examples, and analyzes applications development procedure and related key codes. Examples in this book are of great practicability and operability, allowing practitioners to get started easily, and eventually utilize these skills to develop real-life, usable blockchain applications.Table of ContentsChapter 1 Introduction to Blockchain Fundamentals.- Chapter 2 In-depth interpretation of Ethereum.- Chapter 3 Fundamentals of Ethereum Application Development.- Chapter 4 In-depth interpretation of Hyperledger Fabric.- Chapter 5 Hyperledger Fabric Application Development Fundamentals.- Chapter 6 Analysis of the Core Principles of Enterprise Blockchain Platforms.- Chapter 7 Hyperchain Application Development Fundamentals.- Chapter 8 Detailed Explanation of Actual Cases of Ethereum Application.- Chapter 9 Detailed explanation of actual cases of Hyperledger Fabric application.- Chapter 10 Detailed Explanation of Practical Cases of Enterprise Blockchain Application.
£42.74
Springer Verlag, Singapore Data, Engineering and Applications: Select
Book SynopsisThe book contains select proceedings of the 3rd International Conference on Data, Engineering, and Applications (IDEA 2021). It includes papers from experts in industry and academia that address state-of-the-art research in the areas of big data, data mining, machine learning, data science, and their associated learning systems and applications. This book will be a valuable reference guide for all graduate students, researchers, and scientists interested in exploring the potential of big data applications.Table of Contents1. Medical Assistance Chatbot using Deep Learning.- 2. Distortion Controlled Secure Reversible Data Hiding in H.264 videos.- 3. A Method for improving Efficiency and Security of FANET using Chaotic Black Hole Optimization based Routing (BHOR) Technique.- 4. Machine Learning Techniques for Intrusion Detection System: A Survey.- 5. Software Fault Detection by using Rider Optimization Algorithm (ROA) based Deep Neural Network (DNN).- 6. An Approach for Predicting Admissions in Post Graduate Program by using Machine Learning.- 7. A Survey on Various Representation Learning of Hypergraph for Unsupervised Feature Selection.- 8. A brief study of time series forecasting technique using linear regression, SVM, LSTM, ARIMA and SARIMA.- 9. Adoption of Blockchain Technology for Storage & Verification of Educational Documents.- 10. Obstacle Collision Prediction model for Path Planning Using Obstacle Trajectory Clustering.
£116.99
Springer Verlag, Singapore Defining Enterprise Data and Analytics Strategy:
Book SynopsisThis is the first of its kind book that describes key elements of enterprise data and analytics strategy, and prescribes a pragmatic approach to define the strategy for large enterprises. The book is based on successful digital transformation experience of multiple Fortune 500 and other large enterprises. It is estimated that more than 50% of data and analytics initiatives fail globally because of the inherent complexity of such initiatives. Some of the questions that enterprises struggle with are: How to define enterprise data and analytics strategy? What are the key elements that should be considered while doing so? Why one-size-fits-all approach does not work for all enterprises? How to align data and analytics initiative with the business strategy of the CEO? How to establish a futuristic technology and architecture foundation, given the exponential rate of innovation in data and analytics technologies? How to define the right data and analytics organization model? Why data and analytics organization and processes need to be different from other functions? How to manage organizational change to ensure success of data and analytics initiative? How to define a business value measurement framework and calculate ROI from data and analytics initiative? What are the key skills required in a data and analytics leader to wade through political and other challenges of a large enterprise? This book will help executives, chief digital/analytics officers, data and analytics professionals, and consultants, in answering the above questions. It will help them in addressing various dilemmas that they face every day and making their enterprises data-driven.Table of ContentsChapter 1: What is Data and Analytics Strategy Key elements that should be part of the strategy Data and Analytics Strategy and its Criticality to Drive Enterprise Digital Initiatives Data and Analytics Strategy: A Case in Point Five Elements of Data and Analytics Strategy ▪ Business capabilities ▪ Technology and architecture ▪ Team, processes, and governance ▪ Organizational change management ▪ Value measurement framework SummaryChapter 2: First Element of Strategy – Business Capabilities Taking a top-down approach to align with business strategy Aligning with Organization’s Business Priorities Establishing Enterprise Performance Management Framework ▪ A brief historical perspective on performance measurement ▪ Key performance indicators (KPIs): lagging and leading indicators ▪ KPI trees to drive enterprise performance management ▪ Challenges of implementing enterprise KPI framework ▪ KPI framework defined for scenario 1 (organization A) discussed at the beginning of this chapter Driving Enterprise Digital Strategy ▪ Approach for scenario 2 (organization B): Digital transformation leveraging data and analytics Approach for Defining Data and Analytics Strategy, Starting with Business Capabilities ▪ Step 1: Enterprise churning – “Samudra Manthan” ▪ Step 2: Defining required business capabilities and other strategy elements ▪ Step 3: Prioritizing and creating an integrated roadmap SummaryChapter 3: Second Element of Strategy – Technology and Architecture Establishing technology and architecture foundation that is futuristic and flexible How Not to Define Technology and Architecture Strategy? Understanding Non-Functional Requirements to Define Data and Analytics Architecture ▪ Data sources ▪ Mode of delivery/access (of data) ▪ Temporal ▪ Data security ▪ Data type ▪ Data atomicity ▪ Latency ▪ Data quality and integrity ▪ Business model ▪ Data usage ▪ Metadata Defining Data and Analytics Architecture Selecting Relevant Technologies after Defining Data and Analytics Architecture SummaryChapter 4: Third Element of Strategy – Team, Processes, and Governance Establishing building blocks, including an agile team, for success Why Data and Analytics Organization and Processes Need to be Different from Other IT Functions? Choosing the Right Data and Analytics Organization Model ▪ Decentralized organization ▪ Centralized organization ▪ Federated organization Defining Data and Analytics Organization and Processes▪ Governance tower▪ Business tower▪ Technology and architecture tower▪ Solution delivery tower▪ Service delivery towerWeek-in-the-Life of Data and Analytics TeamSummaryChapter 5: Fourth Element of Strategy – Organizational Change ManagementDriving and managing change across the enterprise to ensure successNeed for Change Across the Enterprise▪ Till 2010 – A brief history of MIS era▪ The 2010s – Data visualization becomes all-pervasive across enterprises▪ The latter half of 2010s - Advent of digital technologies▪ Why organizational change managementDriving Change - Focus Areas & Objectives▪ Four Focus Areas – People, Processes, Technology, and Data▪ Three OCM Objectives▪ Twelve OCM Strategy Elements for Data and AnalyticsStages of Change & Change Leadership▪ The Three Stages of Change▪ Importance of Change LeadershipSummaryChapter 6: Fifth Element of Strategy – Value Measurement FrameworkEstablishing a framework to define and measure value of data and analytics programThe Need for a Value Measurement FrameworkDefining and Measuring Business Value▪ First impact area: Revenue increase▪ Second impact area: Cost reduction▪ Third impact area: Business risk mitigation▪ Fourth impact area: Company’s image building▪ Business value measurement: Correlation does not necessarily mean causalityDefining and Measuring Operational Efficiency – Continuous Improvement▪ People performance▪ Process effectiveness▪ Technology capability▪ Data maturity▪ Operational efficiency and maturity assessmentCalculating ROI from Data and Analytics Investment▪ Calculating benefits▪ Calculating costs▪ Calculating ROISummaryChapter 7: The Profile of a Data and Analytics LeaderKey skills of a leader who can lead the enterprise to successKey Skills that any Enterprise Data and Analytics Leader Must PossessHard Skills▪ Technology▪ Data science▪ BusinessSoft Skills▪ Dealing with ambiguity▪ Team leadership▪ Innovation and risk-taking▪ Organizational change management▪ Design thinking and empathy▪ MarketingSummary
£61.74
Springer Verlag, Singapore Education, Research and Business Technologies:
Book SynopsisThis book includes high-quality research papers presented at 21st International Conference on Informatics in Economy (IE 2022), which is held in Bucharest, Romania, during May 2022. This book covers research results in business informatics and related computer science topics, such as IoT, mobile-embedded and multimedia solutions, e-society, enterprise and business solutions, databases and big data, artificial intelligence, data mining and machine learning, quantitative economics.Table of ContentsMicro-Services as Key Enabler of a Cloud-Native Architecture.- The Importance of Security and Safety in a Smart City.- Cyber Range Technology Stack Review.- IOT Security Challenges for Smart Homes.- An Overview of Security Issues in Smart Contracts on the Blockchain.- Agile Business Systems Development Paradigms – Technological and Human Resource Perspectives.- Identification of Qualitative Weak Signals Coming from Asset Management Working Practices to Feed Forward-Looking Investment Pensions Funds Models.- Digital Competences in the Public Sector – Challenges for Universities.- Transport System in Bucharest.- General Characteristics of the Assisted E-Learning System in Computer Science.- E-Learning in Romania: An Overview on Software Solutions from Private Initiatives.
£179.99
Springer Verlag, Singapore Smart Technologies in Data Science and
Book SynopsisThis book features high-quality, peer-reviewed research papers presented at the Fifth International Conference on Smart Technologies in Data Science and Communication (SMARTDSC 2022), held Koneru Lakshmaiah Education Foundation, Guntur, Andhra Pradesh, India, on 16 – 17 June 2022. It includes innovative and novel contributions in the areas of data analytics, communication and soft computing. Table of ContentsA Graph based model for Discovering Host-based hook Attacks.- E-Health Care Patient Information Retrieval and Monitoring System Using SVM.- Number Plate Recognition using Optical Character Recognition (OCA) and Connected Component Analysis (CCA).- Cartoonify an Image with Open cv using Python.- Web Design as an Important Factor in the Success of a Website.- Earlier Selection of Routes for Data Transfer in both Wired and Wireless Networks.
£170.99
Springer Verlag, Singapore Information Systems for Intelligent Systems:
Book SynopsisThis book includes selected papers presented at World Conference on Information Systems for Business Management (ISBM 2022), held in Bangkok, Thailand, during September 2–3, 2022. It covers up-to-date cutting-edge research on data science, information systems, infrastructure and computational systems, engineering systems, business information systems, and smart secure systems.Table of Contents Social Media as Communication-Transformation Tools.- Bi directional DC-DC converter-based Energy Storage Method for Electric Vehicles.- Design of Smart Irrigation System in Sone Command Area Bihar for Paddy Crop.- A Footstep to Image Deconvolution Technique for the both Known and Unknown Blur Parameter.- Secured Monitoring of Unauthorized UAV by Surveillance Drone Using NS2.
£224.99
Springer Verlag, Singapore Intelligent Data Engineering and Analytics:
Book SynopsisThe book presents the proceedings of the 10th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2022), held at NIT Mizoram, Aizawl, Mizoram, India during 18 – 19 June 2022. Researchers, scientists, engineers, and practitioners exchange new ideas and experiences in the domain of intelligent computing theories with prospective applications in various engineering disciplines in the book. These proceedings are divided into two volumes. It covers broad areas of information and decision sciences, with papers exploring both the theoretical and practical aspects of data-intensive computing, data mining, evolutionary computation, knowledge management and networks, sensor networks, signal processing, wireless networks, protocols and architectures. This volume is a valuable resource for postgraduate students in various engineering disciplines.Table of ContentsAgriBlockchain: Agriculture supply chain using blockchain.- A Triple Band High Gain Antenna Using Metamaterial.- Hybrid Energy Systems Integrated Power System Imbalance Cost Calculation using Moth Swam Algorithm.- Lightweight Privacy Preserving Framework at Edge Layer in IoT.- Concept drift aware analysis of learning engagement during Covid 19 pandemic using adaptive windowing.- MPA Optimized Model Predictive Controller for Optimal Control of an AVR system.- Optimal Power Flow Considering Uncertainty of Renewable Energy Sources Using Meta-Heuristic Algorithm.- Remote Sensing Image Fusion Based on PCA and Wavelets.- Physical Layer Security in MIMO Relay Based Cognitive Radio Network.- Weighted Low Rank and Sparse Matrix Decomposition Models for Separating Background and Foreground in Dynamic MRI.- A Novel Approach For Bug Triaging Using TOPSIS.- Energy Efficient Resource Allocation in Cognitive Radio Networks.- A Hybrid Feature Selection Framework for Breast Cancer Prediction using Mutual Information and AdaBoost-RFE.- Internet of Things enabled Irrigation System in Precision Agriculture.- Medical Internet of Things and Data Analytics for Post-Covid Care: An Analysis.- ECG Biometric Recognition by Convolutional Neural Networks with Transfer Learning using Random Forest Approach.- Design and Analysis of a Metamaterial Based Butterworth Microstrip Filter.- A Review of Financial Fraud Detection in E-Commerce using Machine Learning.
£208.99
Springer Verlag, Singapore Big Data and Social Computing: 7th China National Conference, BDSC 2022, Hangzhou, China, August 11-13, 2022, Revised Selected Papers
Book SynopsisThis book constitutes refereed proceedings of the 7th China National Conference on Big Data and Social Computing, BDSC 2022, held in Hangzhou, China, from August 11-13, 2022The 24 full papers and 2 short papers presented in this volume were carefully reviewed and selected from a total of 99 submissions. The papers in the volume are organised according to the following topical headings: urban computing and social governance; artificial intelligence and cognitive science; social network and group behavior; digital society and public security; digital government and public big dataTable of ContentsUrban Computing and Social Governance.- Artificial Intelligence and Cognitive Science.- Social Network and Group Behavior.- Digital Society and Public Security.- Digital Government and Public Big Data
£58.49
Springer Verlag, Singapore Python Data Science
Book SynopsisRather than presenting Python as Java or C, this textbook focuses on the essential Python programming skills for data scientists and advanced methods for big data analysts. Unlike conventional textbooks, it is based on Markdown and uses full-color printing and a code-centric approach to highlight the 3C principles in data science: creative design of data solutions, curiosity about the data lifecycle, and critical thinking regarding data insights. Q&A-based knowledge maps, tips and suggestions, notes, as well as warnings and cautions are employed to explain the key points, difficulties, and common mistakes in Python programming for data science. In addition, it includes suggestions for further reading. This textbook provides an open-source community via GitHub, and the course materials are licensed for free use under the following license: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0).More teaching materials including Codes, Datasets, Slides, Syllabus can be found at https://github.com/LemenChao/PythonDataScienceTable of Contents1. Python and Data Science Q&A 1.1 From data analysis to data science 1.2 Python language and its characteristics 1.3 Precautions for data analysis based on Python 1.4 Python development environment and how to build it Exercises 2. Basic Python Programming for Data Science Q&A 2.1 Variables and their definition methods 2.2 Operators, expressions, statements 2.3 Data type and data structure 2.4 Packages and modules 2.5 Built-in functions, module functions and custom functions Exercises 3. Advanced Python Programming for Data Science Q&A 3.1 Iterators and iterable objects 3.2 Decorators and generators 3.3 Help and Doc Strings 3.4 Exception handling, assertion and debugging 3.5 Search path, current working directory 3.6 Object-oriented programming Exercises 4. Data preprocessing and wrangling Q&A 4.1 Random numbers and Random/Sklearn 4.2 Vectorized computing and NumPy 4.3 Data frame calculation and Pandas 4.4 Data visualization and MatPlotlib/Seaborn and others Exercises 5. Data analysis algorithms and models Q&A 5.1 Statistical modelling with statsmodels 5.2 Machine learning with scikit-learn Exercises
£58.49
Springer Communication Principles for Data Science
Book SynopsisPreface.- Acknowledgements.- Part 1. Communication over the Gaussian channel.- Chapter 1.Overview of the book.- Chapter 2. A statistical model for additive noise channels.- Chapter 3. Additive Gaussian noise model.- Problem Set 1.- Chapter 4. Optimal receiver: maximum A Posteriori (MAP) principle.- Chapter 5. Analysis of error probability.- Chapter 6. Multiple bits transmission via pulse amplitude modulation.- Problem Set 2.- Chapter 7. Multi-shot communication.- Chapter 8. Repetition coding.- Chapter 9: Capacity of the additive white Gaussian noise channel.- Problem Set 3.- Part 2. Communication over inter-symbol interference (ISI) channels.- Chapter 10. Signal conversion from discrete to continuous time (1/2).- Chapter 11. Signal conversion from discrete to continuous time (2/2).- Chapter 12. Optimal receiver architecture.- Problem Set 4.- Chapter 13. Optimal receiver in ISI channels: maximum likelihood (ML) sequence detection.- Chapter&nb
£44.99
