Databases / Data management Books

Book SynopsisHoney-Proxy: Revealing Malicious Activities via Residential Proxies.- Privacy-Preserving News Recommendation Over Homomorphic Encryption.- Cooperative Trust Based Detection Mechanism for Fake Objects in Collective Perception Messages.- Weed Detection in Potato Fields: A Comparative Study of YOLOv8 and YOLOv9 with UAV Imagery.- Evaluation of Feeding Robots' Efficiency for Pig Fattening.- The Potential of Learning Analytics in Higher Education: A Student's Perspective.

Read more less

Book SynopsisPredicting the Employment Rate of Students after Graduation using Machine Learning Methods.- A Student Performance Prediction Model using Machine Learning Models in Mmultimodal Learning Analytics.- Predicting Employee Attrition Using Machine Learning: A Comparative Analysis of Traditional Models and Neural Networks.- Leveraging PubMed Abstracts for Identifying COVID19 Treatment Modalities.- Distinguishing AI Generated Text from Human-Written Text Using Machine Learning.

Read more less

Book Synopsis

Read more less

Book Synopsis

Read more less

Book SynopsisThe Impact of Armed Conflicts on Planetary Environmental Security.- Architecture of an Intelligent Microclimate Control System for an Industrial Enterprise.- Mathematical Modeling of Instability in Ecological and Economic Systems.- Structural Adaptation of Nonlinear Models in Time Series Processing Problems.- A System Approach for Intelligent DecisionSupport Based on Hierarchical Model of Criteria and Interval Pairwise Comparison Matrices.

Read more less

Book SynopsisDual-Use Artificial Intelligence–Trends, Security Challenges, and Mitigation Strategies.- The Power of Language in Dual-Use Social Media Technologies: Balancing Communication and Security.- Dual-use Chemicals.- The Fink Report Redux - Biotechnology Research in an Age of Terrorism.- Dual Use of Nanomaterials: Opportunities and Risks in Human Health, Ecology, and Security.- Ethical and Biosafety Challenges in Modern Microbiology: Navigating the Risks of Emerging Technologies.- Pros & Cons of Dual-use Technologies.- The Double-Edged Algorithm: Addressing the Dual-Use of AI Technologies in the Age of Great Power Competition Through the Lens of EU.- Navigating the Governance, Risk, and Compliance of Dual-Use Digital Technologies: Balancing Innovation with Security.- EU Export Controls on Dual-Use Defense Technolo-gies to Competing Global Powers.- The New Battlefield: When a "$5K Drone Can Destroy a $5M Tank.- Differentiated Academic Management and Dual-Use Technologies in Military Training Programs.- Bridging AI Adoption and Governance in Higher Education: A Longitudinal Study on Dual-Use Challenges.- Mitigating Dual-Use Cybersecurity Risks in Latin American Higher Education: Implementing the NIST CSF 2.0 for Institutional Resilience.

Read more less

Book Synopsis.- Intelligent Compliance as a Fundamental Tool for Ukraine's Economic Security.- The Convergence of Artificial Intelligence with the Circular Economy.- Urban Planning Principles and Models of Reconstructive Restoration of Urbanized Territories of Luhansk Region Destroyed by Hostilities, Based on Innovative Development.- Detecting Country of Origin Data Manipulation in Sanctioned Raw Material Supply Chains: Expert Survey Insights, etc.

Read more less

Book Synopsis.- Surgical Vision World Model..- Overcoming Data Scarcity: Brain Tumor Segmentation in Pediatric and African Populations..- PiMPiC: An Overlap-Aware Contrastive Learning Framework for 3D Patch-Based Medical Image Segmentation..- DiffusionXRay: A Diffusion and GAN-Based Approach for Enhancing Digitally Reconstructed Chest Radiographs..- SingleStrip: learning skull-stripping from a single labeled example..- Kvasir-VQA-x1: A Multimodal Dataset for Medical Reasoning and Robust MedVQA in Gastrointestinal Endoscopy..- Do Edges Matter? Investigating Edge-Enhanced Pre-Training for Medical Image Segmentation..- Enhancing Malaria-Infected Red Blood Cell Detection with Domain-Aware Generative Augmentation..- Analysis of Transferability Estimation Metrics for Surgical Phase Recognition..- Expert-Guided Explainable Few-Shot Learning for Medical Image Diagnosis..- Lesion-Aware Visual-Language Fusion for Automated Image Captioning of Ulcerative Colitis Endoscopic Examinations..- Zero-shot Monocular Metric Depth for Endoscopic Images..- Robust Federated Anomaly Detection Using Dual-Signal Autoencoders: Application to Kidney Stone Identification in Ureteroscopy..- RadSURF: Automated Synthesis of Radiographs and Surface Representation of Vertebrae for Single View Reconstruction..- A Dataset and Benchmark for Enhancing Retained Foreign Object Detection Through Physics-based Image Synthesis..- Unmasking Interstitial Lung Diseases: Leveraging Masked Autoencoders for Diagnosis..- Robust Early Detection of Barrett’s Neoplasia: Addressing Low-Prevalence Challenges with Generative Modeling..- Instance-Balanced Patch Sampling for Whole-Body Lesion Segmentation..- Calibrated Self-supervised Vision Transformers Improve Intracranial Arterial Calcification Segmentation from Clinical CT Head Scans..- Estimating 2D Keypoints of Surgical Tools Using Vision-Language Models with Low-Rank Adaptation..- Exploring Pre-training Across Domains for Few-Shot Surgical Skill Assessment..- Effect of Data Augmentation on Conformal Prediction for Diabetic Retinopathy..- Addressing Bias in VLMs for Glaucoma Detection Without Protected Attribute Supervision..- Balancing Redundancy and Diversity: An In-Depth Analysis of Active Learning for Laparoscopic Video Segmentation.

Read more less

Book SynopsisThis guide for practicing statisticians, data scientists, and R users and programmers will teach the essentials of preprocessing: data leveraging the R programming language to easily and quickly turn noisy data into usable pieces of information. Data wrangling, which is also commonly referred to as data munging, transformation, manipulation, janitor work, etc., can be a painstakingly laborious process. Roughly 80% of data analysis is spent on cleaning and preparing data; however, being a prerequisite to the rest of the data analysis workflow (visualization, analysis, reporting), it is essential that one become fluent and efficient in data wrangling techniques.This book will guide the user through the data wrangling process via a step-by-step tutorial approach and provide a solid foundation for working with data in R. The author's goal is to teach the user how to easily wrangle data in order to spend more time on understanding the content of the data. By the end of the book, the user will have learned: How to work with different types of data such as numerics, characters, regular expressions, factors, and dates The difference between different data structures and how to create, add additional components to, and subset each data structure How to acquire and parse data from locations previously inaccessible How to develop functions and use loop control structures to reduce code redundancy How to use pipe operators to simplify code and make it more readable How to reshape the layout of data and manipulate, summarize, and join data sets Table of Contents1. Preface 2. Introduction a. The Role of Data Wrangling i. Introduction to R 1. Open Source 2. Flexibility 3. Community ii. R Basics 1. Assignment & Evaluation 2. Vectorization 3. Getting help 4. Workspace 5. Working with packages 6. Style guide 3. Working with Different Types of Data in R a. Dealing with Numbers i. Integer vs. Double ii. Generating sequence of non-random numbers iii. Generating sequence of random numbers iv. Setting the seed for reproducible random numbers v. Comparing numeric values vi. Rounding numbers b. Dealing with Character Strings i. Character string basics ii. String manipulation with base R iii. String manipulation with stringr iv. Set operatons for character strings c. Dealing with Regular Expressions i. Regex Syntax ii. Regex Functions iii. Additional resources d. Dealing with Factors i. Creating, converting & inspecting factors ii. Ordering levels iii. Revalue levels iv. Dropping levels e. Dealing with Dates i. Getting current date & time ii. Converting strings to dates iii. Extract & manipulate parts of dates iv. Creating date sequences v. Calculations with dates vi. Dealing with time zones & daylight savings vii. Additional resources <4. Managing Data Structures in R a. Data Structure Basics i. Identifying the Structure ii. Attributes b. Managing Vectors i. Creating ii. Adding on to iii. Adding attributes iv. Subsetting c. Managing Lists i. Creating iii. Adding attributes iv. Subsetting d. Managing Matrices i. Creating ii. Adding on to iii. Adding attributes iv. Subsetting e. Managing Data Frames i. Creating ii. Adding on to iii. Adding attributes iv. Subsetting f. Dealing with Missing Values i. Testing for missing values ii. Recoding missing values iii. Excluding missing values 5. Importing, Scraping, and Exporting Data with R a. Importing Data i. Reading data from text files ii. Reading data from Excel files iii. Load data from saved R object file iv. Additional resources b. Scraping Data i. Importing tabular and Excel files stored online ii. Scraping HTML text iii. Scraping HTML table data iv. Working with APIs v. Additional Resources c. Exporting Data i. Writing data to text files ii. Writing data to Excel files iii. Saving data as an R object file iv. Additional resources 6. Creating Efficient & Readable Code in R a. Functions i. Function Components ii. Arguments iii. Scoping Rules iv. Lazy Evaluation v. Returning Multiple Outputs from a Function vi. Dealing with Invalid Parameters vii. Saving and Sourcing Functions viii. Additional Resources b. Loop Control Statements i. Basic control statements (i.e. if, for, while, etc.) ii. Apply family iii. Other useful “loop-like” functions iv. Additional Resources c. Simplify Your Code with %>% i. Pipe (%>%) Operator ii. Additional Functions iii. Additional Pipe Operators iv. Additional Resources 7. Shaping & Transforming Your Data with R a. Reshaping Your Data with tidyr i. Making wide data long ii. Making long data wide iii. Splitting a single column into multiple columns iv. Combining multiple columns into a single column v. Additional tidyr functions vi. Sequencing your tidyr operations vii. Additional resources b. Transforming Your Data with dplyr i. Selecting variables of interest ii. Filtering rows iii. Grouping data by categorical variables iv. Performing summary statistics on variables v. Arranging variables by value vi. Joining datasets vii. Creating new variables viii. Additional resources

Read more less

Book SynopsisThis book brings order to the chaotic and rapidly evolving world of influencer marketing by providing readers with much needed context, frameworks, and best practices. Written for busy marketing professionals working in both domestic and international markets, it addresses these topics in a highly actionable and engaging manner. Digital Influence covers everything from how to identify the right influencers and determine “level of influence” to collaborating with influencers and measuring ROI. It turns out, it’s not all about paying online celebrities outrageous sums to post sponsored content. Backaler also provides much-needed context for why influencer marketing is flourishing today, and perspective into what a more technologically-enabled, globally-connected future will look like. Ultimately, people want to learn from trusted peers, not faceless companies. Better than any corporate marketing function, influencers understand how to make best use of social media platforms and tailor content for their respective cultures to engage consumers in their home markets. Business leaders should arm themselves with Backaler's book to ensure they're not left behind.Trade Review“This is a much-needed book, as many strictly academic or textbooks still have a weakness around all things digital and the so-called new media. … Digital Influence is a highly actionable book with well-researched studies and content. An in-depth guidance towards achieving meaningful results and focused on the understanding of influencers is a core goal that is achieved. This book is an easy read but with insightful content.” (Bradley Wilson, Information, Communication & Society, Vol. 22 (10), 2019)“The rich insights in this book will interest more than the digital marketing crowd. Using case studies, frameworks, and industry figures, the author presents a wealth of details in a relevant and effective manner. … Summing Up: Recommended. All readers.” (S. M. Mohammed, Choice, Vol. 56 (9), May, 2019)Table of ContentsChapter 1: IntroductionChapter 2: Then vs. Now: Influencer Marketing (Re-Defined)Chapter 3: Levels of Influence: Key Characteristics of Modern-Day InfluencersChapter 4: A Global Phenomenon: The Rise of Influencers Around the WorldChapter 5: Business to Consumer (B2C) Influencer Marketing LandscapeChapter 6: Business to Business (B2B) Influencer Marketing LandscapeChapter 7: Discover Influencers: Finding the Perfect MatchChapter 8: Engage Influencers: Developing an Effective Outreach StrategyChapter 9: Collaborate with Influencers: Potential Paths to TakeChapter 10: Know the Risks: The Dark Side of Influencer CollaborationChapter 11: Measure Success: What’s the Return on Investment?Chapter 12: Case Studies: Influencer Marketing Best Practices from Around the WorldChapter 13: What's Coming: The Future of Influencer Marketing

Read more less

Book SynopsisThis book is about innovation, big data, and data science seen from a business perspective. Big data is a buzzword nowadays, and there is a growing necessity within practitioners to understand better the phenomenon, starting from a clear stated definition. This book aims to be a starting reading for executives who want (and need) to keep the pace with the technological breakthrough introduced by new analytical techniques and piles of data. Common myths about big data will be explained, and a series of different strategic approaches will be provided. By browsing the book, it will be possible to learn how to implement a big data strategy and how to use a maturity framework to monitor the progress of the data science team, as well as how to move forward from one stage to the next. Crucial challenges related to big data will be discussed, where some of them are more general - such as ethics, privacy, and ownership – while others concern more specific business situations (e.g., initial public offering, growth strategies, etc.). The important matter of selecting the right skills and people for an effective team will be extensively explained, and practical ways to recognize them and understanding their personalities will be provided. Finally, few relevant technological future trends will be acknowledged (i.e., IoT, Artificial intelligence, blockchain, etc.), especially for their close relation with the increasing amount of data and our ability to analyse them faster and more effectively.Trade Review“The book presents a new viewpoint to approach the big data concept that tries to distance itself from previous approaches. It introduces a consistent framework to handle and apply data strategies. … The book would be interesting reading for big data analysts or company managers because it discloses some important facets of this new technological challenge, although some subjects are quite hastily explained.” (Svetlana Segarceanu, Computing Reviews, April, 2017)Table of ContentsIntroduction.- What Data Science Means to the Business.- Key Data Challenges to Strategic Business Decisions.- A Chimera Called Data Scientist: Why they don’t Exist (but they will in the Future).- Future Data Trends.- Where are we Going? The Path Toward an Artificial Intelligence.- Conclusions.

Read more less

Book SynopsisThis book constitutes the refereed proceedings of the 13th Algorithms and Data Structures Symposium, WADS 2013, held in London, ON, Canada, August 2013. The Algorithms and Data Structures Symposium - WADS (formerly "Workshop on Algorithms and Data Structures") is intended as a forum for researchers in the area of design and analysis of algorithms and data structures. The 44 revised full papers presented in this volume were carefully reviewed and selected from 139 submissions. The papers present original research on algorithms and data structures in all areas, including bioinformatics, combinatorics, computational geometry, databases, graphics, and parallel and distributed computing.Table of ContentsAlgorithms and data structures in bioinformatics.- Algorithms and data structures in combinatorics.- Algorithms and data structures in computational geometry.- Algorithms and data structures in databases.- Algorithms and data structures in graphics.- Parallel and distributed computing.

Read more less

Book SynopsisAndreas Gadatsch und Holm Landrock zeigen an typischen Beispielen aus der Praxis, wie datengetriebene Geschäftsmodelle entstehen. Sie erläutern, wie sich Big-Data-Projekte rechnen und wie man am einfachsten an die Analyse großer Datenmengen herangeht. Eine Bewertung der zentralen Aspekte von Projekten und der dort eingesetzten Technologien erleichtert den Lesern die tägliche Praxis im IT-Management. Die Autoren stellen Hadoop als eine der wichtigen Big-Data-Technologien vor.Table of ContentsEinsatzbereiche und Zielsetzung von Big-Data-Projekten.- Anbieterprofile, Einführung von Big Data.- Ausgewählte Use Cases.- Big Data und Ethik.

Read more less

Book SynopsisIn diesem Buch werden Grundlagen zur empirischen Sozialforschung erläutert und Empfehlungen zur Findung eines Themas für die Abschlussarbeit gegeben. Anschließend werden vier Forschungsdesigns vorgestellt, ergänzt durch Tipps für die Kooperation mit einem Praxispartner. Empfehlungen zum Umgang mit Themen wie Plagiat und Zitierweise runden das Essential ab. Die Inhalte sollen Studierenden aus dem Bereich der Betriebswirtschaft und der Wirtschaftsinformatik als Hilfestellung bei der Konzeption und Erstellung einer Abschlussarbeit dienen.Table of ContentsEinleitung.- Grundlagen der empirischen Sozialforschung.- Findung und Eignung eines Themas.- Forschungsdesigns der Wirtschaftsinformatik.- Abschlussarbeit mit Praxispartner.- Fazit.

Read more less

Book SynopsisBig Data und Data Science sind Trends, die sowohl in der Wissenschaft als auch in Unternehmen auf großes Interesse stoßen. Dieses essential zeigt einen konzeptionellen Rahmen auf, um die Grundlagen von Big Data und Data Science besser zu verstehen. Einkaufsentscheider und Einkaufsorganisationen können dann aufbauend auf der Beschaffungsdigitalisierung sowie weiteren Datenquellen ein Big Data Warehouse konzipieren, welches die Voraussetzung schafft, um wichtige Beschaffungsprobleme zu lösen. Analytische Methoden werden genauso beleuchtet, wie neue Fähigkeiten in bereichsübergreifenden Teams. Abschließend werden 30 konkrete Anwendungsfälle von Big Data für die strategische Beschaffung vorgestellt.Table of ContentsEinleitung.- Die Bedeutung von Big Data in der Beschaffung.- Beschaffungsdigitalisierung und weitere Quellen als Datengrundlage.- Überblick über Data Science für die Beschaffung.- Einfluss von Big Data auf die Beschaffungsteams.- Anwendungsbeispiele von Big Data in der Beschaffung.- Ausblick

Read more less

Book Synopsis

Read more less

Book SynopsisIn der Automotive-Branche ist eine schnell agierende und perfekt abgestimmte Supply Chain ein entscheidender Vorteil gegenüber dem Wettbewerb. Durch die Implementierung der Blockchain-Technologie lässt sich die Geschwindigkeits- und Transparenzerhöhung gewährleisten. Dieses essentiell simuliert eine Supply Chain an verschiedenen Instanzen, in der die Blockchain exemplarisch genutzt wird und dadurch die Supply-Chain-Abläufe automatisiert werden.

Read more less

Book Synopsis​Dieses Buch beantwortet grundlegende Fragen zu CDP, gibt einen Überblick über aktuelle CDPs und identifiziert deren Vorteile und Schwachstellen. Zudem setzt es sich mit unterschiedlichen Entwicklungen im Marketingumfeld auseinander, die starke Treiber für den Einsatz einer Customer-Data-Plattform (CDP) sind. Marketing-Entscheider sowie Verantwortliche aus den Bereichen Online-Marketing und E-Commerce erhalten Tipps, wie die passende CDP ausgewählt und implementiert werden kann. Zudem ist dieses Buch interessant für alle Entscheider, die sich damit beschäftigen, wie sie ihren Konsumenten ein besseres Kauferlebnis bieten können. Dabei geht Jonas Rashedi nicht nur auf die technischen Aspekte ein, sondern beleuchtet auch die organisationsbezogenen Voraussetzungen für die erfolgreiche Implementierung und Verwendung einer CDP. Praxisbeispiele veranschaulichen die Inhalte.This book offers an excellent introduction to the CDP category. I recommend it for anyone trying to understand what CDPs do, whether a CDP is right for their company, and how to select the right CDP.David M. Raab, Gründer und CEO des CDP InstitutesTable of ContentsEntwicklungen im Marketingumfeld als Treiber für den Einsatz von CDPs.- Was ist eine CDP und was ist es nicht?.- Funktion, Aufbau und Arten von CDPs.- Aktuelle CDPs und deren Schwachstellen.- Auswahl und Implementierung eines CDP.- CDP – Wie geht es weiter?.

Read more less

Book SynopsisAngriffe aus den eigenen Reihen durch sogenannte Innentäter sind für Unternehmen nur schwer zu erkennen. Unter Innentätern versteht man Personen, die in Unternehmen oder Organisationen vorsätzlich dolose Handlungen vornehmen. Ihnen fällt es aufgrund ihres Wissens über Interna leichter, etablierte Schutzmaßnahmen zu überwinden. Unternehmensinhaber trifft im Rahmen des mehrdeutigen Begriffs unternehmerischer Compliance auch eine Pflicht, in ihrem Betrieb für regelgetreues Verhalten der Beschäftigten zu sorgen. Es besteht insofern ein Spannungsverhältnis zwischen dem Recht auf informationelle Selbstbestimmung des Beschäftigten, welches durch das Datenschutzrecht geschützt wird, und der Pflicht des Arbeitgebers, in seinem Unternehmen für rechtskonformes Verhalten zu sorgen. Gegenstand des Buchs ist daher die Frage, welche Konsequenzen die Datenschutz-Grundverordnung sowie die Gesetzgebung auf nationalstaatlicher Ebene für den Beschäftigtendatenschutz im Allgemeinen sowie für die Umsetzung der neuen Anforderungen bei unternehmensinternen Compliance-Maßnahmen hat.Table of ContentsEinführung.- Bedeutung von compliance im unternehmen.- Screenings auf basis der anomalieerkennung.- Rechtlicher rahmen für maßnahmen der mitarbeiterüberwachung im rahmen unternehmerischer compliance auf ebene der grundrechte sowie der emrk.- Regelung des beschäftigtendatenschutzes nach der dsgvo.- Allgemeine anforderungen der dsgvo und des bdsg an anomaliebasierte screenings von mitarbeitern.- Beweisverwertung vor den arbeitsgerichten.- Mitbestimmung des betriebsrats.- Fazit

Read more less

Book SynopsisIn diesem Open-Access-Buch stehen die wirtschaftliche Verwertung von Daten und die dazu gehörenden technischen und organisatorischen Prozesse und Strukturen in Unternehmen im Fokus. Es behandelt Themen wie Datenmonetarisierung, Datenverträge, Data Governance, Informationssicherheit, Datenschutz und die Vertrauenswürdigkeit von Daten.Seit Jahren wird davon gesprochen, dass „Daten das neue Öl“ sind. Expertinnen und Experten sind sich einig: Das Wertschöpfungspotential von Daten ist enorm und das über fast alle Branchen und Geschäftsfelder hinweg. Und dennoch bleibt ein Großteil dieses Potentials ungehoben. Deshalb nimmt dieser Sammelband konkrete Innovationshemmnisse, die bei der Erschließung des wirtschaftlichen Werts von Daten auftreten können, in den Blick. Er bietet praktische Lösungsansätze für diese Hürden an den Schnittstellen von Ökonomie, Recht, Akzeptanz und Technik. Dazu folgen die Autorinnen und Autoren einem interdisziplinären Ansatz und greifen aktuelle Diskussionen aus der Wissenschaft auf, adressieren praxisnahe Herausforderungen und geben branchenunabhängige Handlungsempfehlungen. Den Leserinnen und Lesern soll eine transparente Informationsbasis angeboten werden und damit die Teilnahme an der Datenwirtschaft erleichtert werden. Dieses Buch richtet sich an Entscheidungsträgerinnen und Entscheidungsträger in Unternehmen sowie an Entwicklerinnen und Entwickler datenbasierter Dienste und Produkte. Der Band ist ebenfalls für Fachkräfte der angewandten Forschung wie auch für interdisziplinär Studierende z.B. der Wirtschaftsinformatik, der technikorientierten Rechtswissenschaft oder der Techniksoziologie relevant.Table of ContentsEinleitung: Wie aus Daten Wert entsteht - Datenwirtschaft und Datentechnologie.- Teil 1 - Daten als Wirtschaftsgut: Einleitung: Daten als Wirtschaftsgut.- Grenzkostenfreie IoT-Services in den Datenmarktplätzen der Zukunft.- Besonderheiten datenbasierter Geschäftsmodellentwicklung.- Das Dilemma der Preisbildung datenbasierter Geschäftsmodelle in der produzierenden Industrie.- Bewertung von Unternehmensdatenbeständen: Wege zur Wertermittlung des wertvollsten immateriellen Vermögensgegenstandes.- Teil 2 - Datenrecht: Einleitung: Datenrecht.- Compliant Programming - Rechtssicherer Einsatz von Blockchains und anderen Datentechnologien.- Data Governance und Datenökonomie - Datenteilung in Ökosystemen rechtskonform gestalten.- Herausforderung und Grenzen bei der Gestaltung von Datenverträgen.- Vertragsdurchführung mit Smart Contracts - rechtliche Rahmenbedingungen und Herausforderungen.- Teil 3 - Kontrolle über Daten: Einleitung: Kontrolle über Daten.- Datenhoheit und Datenschutz aus Nutzer-, Verbraucher- und Patientenperspektive.- Verfahren zur Anonymisierung und Pseudonymisierung von Daten.- Datensouveränität in Digitalen Ökosystemen: Daten nutzbar machen, Kontrolle behalten.- Teil 4 - Vertrauen in Daten: Einleitung: Vertrauen in Daten.- Unternehmensdaten - Informationen aus gewachsenen, komplexen Systemen herausarbeiten.- Datenqualitätssicherung entloang der Datenwertschöpfungskette im Industriekontext.- Nationale und internationale Standardisierung und Zertifizierung von Datendiensten.

Read more less

Book SynopsisDieser Sammelband verbindet theoretische Grundlagen und praktische Anwendungen von Künstlicher Intelligenz (KI) und Data Science: Anerkannte Experten stellen in ihren Beiträgen den aktuellen Stand in Forschung und Wirtschaft dar – und bieten so einen einzigartigen Überblick über aktuelle Konzepte und ihre Umsetzung in Unternehmen. Im ersten Teil des Buchs werden die Methoden und Algorithmen skizziert, die sich größtenteils aus einer Kombination von Statistik und Informatik ergeben und auf Verfahren des Maschinellen Lernens bis hin zu Deep Learning und KI basieren. Im zweiten Teil wird die konzeptionelle Umsetzung in der Praxis skizziert: Hier wird insbesondere aufgezeigt, welche Herausforderungen in der Praxis auftreten – ob nun bei der Einbettung der Daten-Use-Cases in eine Gesamtstrategie oder bei der Produktivsetzung, Weiterentwicklung und dem Betrieb von Daten-basierten Lösungen. Der dritte Teil zeigt das breite Potpourri von Data Science in der Praxis: Branchengrößen wie Allianz, ADAC, BMW, Deutsche Bahn, Lufthansa, REWE, RTL, St. Galler Stadtwerke, SwissRe und viele weitere zeigen konkret, welche Erfahrungen sie bei ihren Projekten gesammelt haben. Fachartikel von über 20 namhaften Unternehmen decken die spezifischen Anforderungen ihrer jeweiligen Branchen ab. Das Buch möchte die interdisziplinäre Diskussion und Kooperation zwischen Wissenschaft und Wirtschaft fördern und richtet sich daher an verschiedene Lesergruppen: Studierende und Absolventen, die Orientierung für die eigene Laufbahn suchen. Forschende und Lehrende, die einen Einblick in praxisrelevante Einsatzgebiete erhalten möchten. Anwender, Praktiker und Entscheider, die sich über Chancen und Herausforderungen von KI in der Praxis informieren möchten. Table of ContentsVorwort- Grundlagen von Data Science- Data Science in der Praxis- Beispiele aus der Praxis-Ausblick/Wohin geht die Reise

Read more less

Book SynopsisThe LNCS journal Transactions on Large-scale Data and Knowledge-centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become the main driving force behind application development in all domains. An increase in the demand for resource sharing (e.g. computing resources, services, metadata, data sources) across different sites connected through networks has led to an evolution of data- and knowledge-management systems from centralized systems to decentralized systems enabling large-scale distributed applications providing high scalability. This, the 53rd issue of Transactions on Large-scale Data and Knowledge-centered Systems, contains six fully revised selected regular papers. Topics covered include time series management from edge to cloud, segmentation for time series representation, similarity research, semantic similarity in a taxonomy, linked data semantic distance, linguistics-informed natural language processing, graph neural network, protected features, imbalanced data, causal consistency in distributed databases, actor model, and elastic horizontal scalability.Table of ContentsModelarDB: Integrated Model-Based Management of Time Series from Edge to Cloud.- Variable-Size Segmentation for Time Series Representation.- Semantic Similarity in a Taxonomy by Evaluating the Relatedness of Concept Senses with the Linked Data Semantic Distance.- Constituency-informed and Constituency-constrained Extractive Question Answering with Heterogeneous Graph Transformer.- FAPFID: A Fairness-aware Approach for Protected Features and Imbalanced Data.- D-Thespis: A Distributed Actor-Based Causally Consistent DBMS.

Read more less

Book SynopsisDiese Einführung in die Wirtschaftsinformatik ist bewusst kompakt gehalten. Dennoch sind alle wesentlichen Teilgebiete dargestellt und die Leitidee der Vernetzung und Integration zieht sich systematisch durch das Buch. Dadurch liefert es einen sehr guten Einblick in die mit IT unterstützten betrieblichen Aufgaben. Ausgehend vom Basiswissen zu Rechnern, ihrer Vernetzung sowie den verfügbaren Diensten werden die Grundlagen des Daten- und Wissensmanagements, von Big Data und KI behandelt. Die Unterstützung betrieblicher Funktionen und Prozesse durch die IT wird erläutert. Dabei wird die IT-basierte Einbindung privater Haushalte berücksichtigt. Neben dem IT-Management zeigen die Autoren, welchen Beitrag die IT zur digitalen Transformation leisten kann, von der Arbeitsplatzebene bis zur Neugestaltung des Geschäftsmodells eines Unternehmens. Das Buch eignet sich für Praktiker, die einen schnellen Überblick erhalten wollen, sowie für Studierende und Lehrende an Hochschulen und Berufsakademien.Neu in der 13. Auflage: Die Konzepte der Digitalisierung, des digitalen Wandels und die Voraussetzungen in Wirtschaft und Gesellschaft (technische Innovationen, Strukturen, Kultur, Steuerung) werden ausführlich dargestellt. Ergänzt wurden die Themen Künstliche Intelligenz, Cloud Computing, Edge Computing, Hochleistungsrechner (Supercomputer) sowie Beispiele zur Automatisierung im Produktionssektor durch Kommunikation zwischen Fertigungsmaschinen, Lagersteuerung, Logistik (Industrie 4.0), aber auch Weiterentwicklungen bei Finanzdienstleistungen (Zahlungsverkehr, Elektronische Handelssysteme, Marktdatensysteme, Kernbankensysteme). Vorgestellt werden moderne Ansätze der Software- und Systementwicklung, wie Agile Methoden oder Low-Code-Lösungen. Table of ContentsEinordnung der Wirtschaftsinformatik.- Technische Grundlagen.- Management von Daten.-Integrierte Anwendungssysteme.- Planung, Realisierung und Einführung von Anwendungssystemen.- Management der Ressource IT.- Digitaler Wandel von Unternehmen.

Read more less

Book SynopsisDie Stimmen zur 1. und zur 2. Auflage bestätigen: Endlich ein Buch, das den Leser wirklich verständlich an die Hand nimmt und sicher zum Ziel führt. Dies gelingt durch konsequente Beispielorientierung und leichte Verständlichkeit. Unterstützt wird der Leser zusätzlich durch den Online-Service. Schritt für Schritt werden die Etappen von der Analyse der Realität, die im Datenmodell abgebildet werden soll, zur Datenbank-Strukturierung aufgezeigt. Besonderer Vorzug sind die illustrativen Anwendungsbeispiele aus verschiedenen Unternehmenszusammenhängen und kaufmännischen Bereichen, zu denen in der 3. Auflage ausführliche Lösungen ergänzt wurden. Das Buch eignet sich für Studenten und Praktiker gleichermaßen, vor allem für Informatiker, Wirtschaftsinformatiker und Betriebswirte.Trade Review"Jarosch geht in seinem Buch ins Detail der Entwicklung eines konzeptionellen Datenmodells und zur konkreten Datenbank, unter Nutzung des Entity-Relationship-Modells. Wer Datenbanksysteme lernt, dürfte davon profitieren." iX, 03/2004Table of ContentsDatenbankentwurf - Von der Realität zum konzeptionellen Datenmodell - Datenbank-Modelle - Vom Datenmodell zur Datenbank - Möglichkeiten und Grenzen des Entity-Relationship-Modells und des relationalen Datenbank-Modells - Aufgaben zum Datenbankentwurf.

Read more less

Book SynopsisThe Charter of the United Nations was signed in 1945 by 51 countries representing all continents, paving the way for the creation of the United Nations on 24 October 1945. The Statute of the International Court of Justice forms part of the Charter. The aim of the Charter is to save humanity from war; to reaffirm human rights and the dignity and worth of the human person; to proclaim the equal rights of men and women and of nations large and small; and to promote the prosperity of all humankind. The Charter is the foundation of international peace and security.

Read more less

Book SynopsisThe Charter of the United Nations was signed in 1945 by 51 countries representing all continents, paving the way for the creation of the United Nations on 24 October 1945. The Statute of the International Court of Justice forms part of the Charter. The aim of the Charter is to save humanity from war; to reaffirm human rights and the dignity and worth of the human person; to proclaim the equal rights of men and women and of nations large and small; and to promote the prosperity of all humankind. The Charter is the foundation of international peace and security.

Read more less

Book SynopsisThe Charter of the United Nations was signed in 1945 by 51 countries representing all continents, paving the way for the creation of the United Nations on 24 October 1945. The Statute of the International Court of Justice forms part of the Charter. The aim of the Charter is to save humanity from war; to reaffirm human rights and the dignity and worth of the human person; to proclaim the equal rights of men and women and of nations large and small; and to promote the prosperity of all humankind. The Charter is the foundation of international peace and security.

Read more less

Book SynopsisThe Charter of the United Nations was signed in 1945 by 51 countries representing all continents, paving the way for the creation of the United Nations on 24 October 1945. The Statute of the International Court of Justice forms part of the Charter. The aim of the Charter is to save humanity from war; to reaffirm human rights and the dignity and worth of the human person; to proclaim the equal rights of men and women and of nations large and small; and to promote the prosperity of all humankind. The Charter is the foundation of international peace and security.

Read more less

Book SynopsisThis book presents conjectural advances in big data analysis, machine learning and computational intelligence, as well as their potential applications in scientific computing. It discusses major issues pertaining to big data analysis using computational intelligence techniques, and the conjectural elements are supported by simulation and modelling applications to help address real-world problems. An extensive bibliography is provided at the end of each chapter. Further, the main content is supplemented by a wealth of figures, graphs, and tables, offering a valuable guide for researchers in the field of big data analytics and computational intelligence.Table of ContentsA Study of the Correlation between Internet Addiction and Aggressive Behavior Among the Namibian University Students An efficient model for outlier detection in time series dataset using clustering approach Genetic Algorithm Approach for Optimization of Biomass Estimation at LiDAR E-ALIVE: An Integrated Platform Based on Machine Learning Techniques to Aware and Educate Common People with the Current Statistics of Maternal and Child Health Care An Effective TCP’s Congestion Control Approach for Cross Layer Design in MANET A Study on Applying Agile Methodology to Manufacturing Industry Cloud Applications Baron-Cohen Model based Personality Classification using Ensemble Learning Analysis of Routing Protocols for Large Scale Multihop Multirate MANETs Review on Internet Traffic Sharing using Markov Chain Model in Computer Network Protein Sequence of Dengue Virus Classification and Secondary Structure Prediction using Random Forest Classifier Anomaly detection using Dynamic Sliding Window in Wireless Body Area Networks Scalable Privacy preservation in Big Data with Cloud Service Access Effective Healthcare Services by IoT based Model of Voluntary Doctors Multi Layer Architectures for SQLI Detection and Prevention in Web Application Development Emotional State Recognition with EEG signals using Subject Independent Approach Development of Early Prediction Model for Epileptic Seizures Research Issue in data Anonymization in Electronic Health Service: A survey Prediction of Cervical Cancer based on the life style, habits and diseases using Regression Analysis framework Novel outlier detection by integration of clustering and classification A Study on Benefits of Big Data for Retail Industry Protection of User Information by using Modified Data Copy Technique in Data Mining Performance Analysis of Traffic at Intersection using Direction Based Clustering in VANET Load Balancing using Amazon Cloud Services A Review of Wireless Charging Nodes in Wireless Sensor Networks Leeway of Lean concept to optimize Bigdata in manufacturing industry: An exploratory review NeuroFeedback Guided Learning Style Adaptability Derived from EEG Sensors Monitoring Public Participation in Multi-Lateral Initiatives using Social Media Intelligence An efficient Context-aware Music Recommendation based on Emotion and Time Context Locating and Detecting Nipple for Pornographic Image Identification Implementation of Improved Energy Efficient FIR Filter using Reversible Logic A Study on benefits of Big data for healthcare sector of India Handling Uncertainty in Linguistics using Probability Theory Review of Quality of Service based Techniques in Cloud Computing Skyline Computation for Big Data Available Energy Aware Multipath Routing For Reliable Service Discovery in MANET Human Face Detection Enabled Smart Stick for Visually Impaired People Web Based Service Recommendation System by Considering User Requirements Optimal Energy Conservation for Route Selection to improve in MANET Unsupervised Machine Learning for Clustering the Infected Leaves based on the Leaf-colours Real Time Big Data Analysis Architecture and Application Missing Value Imputation in Medical Records for Remote Healthcare Reliable Data Discovery with Two Ray Ground Way on DSR Routing in MANET Secure vehicular communication using Road side unit (RSU) trust management scheme Recommendation Framework for Diet and Exercise based on Clinical Data: A Systematic Review Predictive Models for Recommanding Restaurent System by users own Preference Security Assessment of SAODV Protocols in Mobile Adhoc Networks Attack Detection and its Analysis in DTN Mobile Ad-hoc network Secure Sum Computation using Homomorphic Encryption Traffic Analysis in Location Base Routing System in MANET Automated Workload management using machine learning A survey on Link Recovery in Wireless Mesh Network using resilience scheme Multi User Detection in Wireless Networks Using Decision Feedback Signal Cancellation ANN Based Predictive State Modelling of Finite State Machines Deep dive exploration of mixed reality in the world of Big Data

Read more less

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.

Read more less

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.

Read more less

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.

Read more less

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.

Read more less

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.

Read more less

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.

Read more less

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.

Read more less

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.

Read more less

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.

Read more less

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.

Read more less

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.

Read more less

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.

Read more less

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.

Read more less

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

Read more less

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.

Read more less