Databases / Data management Books

Book SynopsisThis two-volume set LNCS 14193-14194 constitutes the proceedings of International Workshops co-located with the 17th International Conference on Document Analysis and Recognition, ICDAR 2023, held in San José, CA, USA, during August 21–26, 2023. The total of 43 regular papers presented in this book were carefully selected from 60 submissions. Part I contains 22 regular papers that stem from the following workshops: ICDAR 2023 Workshop on Computational Paleography (IWCP); ICDAR 2023 Workshop on Camera-Based Document Analysis and Recognition (CBDAR); ICDAR 2023 International Workshop on Graphics Recognition (GREC); ICDAR 2023 Workshop on Automatically Domain-Adapted and Personalized Document Analysis (ADAPDA); Part II contains 21 regular papers that stem from the following workshops: ICDAR 2023 Workshop on Machine Vision and NLP for Document Analysis (VINALDO); ICDAR 2023 International Workshop on Machine Learning (WML). Table of ContentsTypefaces and Ligatures in Printed Arabic Text: A Deep Learning-Based OCR Perspective.- Leveraging Knowledge Graph Embeddings to Enhance Contextual Representations for Relation Extraction.- Extracting Key-Value Pairs in Business Documents.- Long-Range Transformer Architectures for Document Understanding.-Pre-training transformers for Corporate Documents Understanding.- Transformer-Based Neural Machine Translation for Post-OCR Error Correction in Cursive Text.- Arxiv Tables: Document Understanding Challenge Linking Texts and Tables.- Subgraph-Induced Extraction Technique for Information (SETI) from Administrative Documents.- Document Layout Annotation: Database and Benchmark in the Domain of Public Affairs.- A Clustering Approach Combining Lines and Text Detection for Table Extraction.- Absformer: Transformer-Based Model for Unsupervised Multi-Document Abstractive Summarization.- A Comparison of Demographic Attributes Detection from Handwriting Based on Traditional and Deep Learning Methods.- A New Optimization Approach to Improve an Ensemble Learning Model: Application to Persian/Arabic Handwritten Character Recognition.- BN-DRISHTI: Bangla Document Recognition Through Instance-level Segmentation of Handwritten Text Images.- Text Line Detection and Recognition of Greek Polytonic Documents.- A Comprehensive Handwritten Paragraph Text Recognition System: LexiconNet.- Local Style Awareness of Font Images.- Fourier Feature-Based CBAM and Vision Transformer for Text Detection in Drone Images.- Document Binarization with Quaternionic Double Discriminator Generative Adversarial Network.- Crosslingual Handwritten Text Generation Using GANs.- Knowledge Integration inside Multitask Network for Analysis of Unseen ID Types.

Read more less

Book SynopsisThis book constitutes the proceedings of the 27th European Conference on Advances in Databases and Information Systems, ADBIS 2023, held in Barcelona, Spain, during September 4–7, 2023. The 11 full papers presented in this book together with 3 keynotes and tutorials were carefully reviewed and selected from 77 submissions. The papers are organized in the following topical sections: keynote talk and tutorials; query processing and data exploration, data science and fairness and Data and Metadata QualityTable of ContentsKeynote Talk and Tutorials.- Knowledge Engineering in the Era of Artificial Intelligence.- Causality, Attribution-Scores and Repairs in Databases.- When operations research meets databases.- Query Processing and Data Exploration.- Using a Key-Value Index-Store for Cross-Model Join Queries Over Heterogeneous Data Sources.- Reconstructing Spatiotemporal Data with C-VAEs.- What Happens when Two Multi-Query Optimization Paradigms Combine.- Skyline-Based Temporal Graph Exploration.- Temporal Graph Processing in Modern Memory Hierarchies.- Data Science and Fairness.- Comparing and Improving Active Learning Uncertainty Measures for Transformer Models.- FARMUR: Fair Adversarial Retraining to Mitigate Unfairness in Robustness.- Exploring Heterogeneous Data Graphs Through their Entity Paths.- Managing Linked Nulls in Property Graphs: Tools to Ensure Consistency and Reduce Redundancy.- Assessment of Data Quality in a Data Lakehouse Through Multi-Granularity Data Profiling.- Data Ingestion Validation through Stable Conditional Metrics with Ranking and Filtering.- An Ontology for Representing and Querying Semantic Trajectories in the Maritime Domain.- Extracting Provenance of Machine Learning Experiment Pipeline Artifacts.

Read more less

Book SynopsisThis book constitutes selected, revised and extended papers of the 7th International Conference on Geographical Information Systems Theory, Applications and Management, GISTAM 2021, held in April 2021, and 8th International Conference on Geographical Information Systems Theory, Applications and Management, GISTAM 2022, held in April 2022. Due to the COVID-19 pandemic both conferences were held online. The 4 revised full papers presented at GISTAM 2021 were carefully reviewed and selected from the 44 submissions, and 3 papers presented at GISTAM 2022 were selected from the 27 submissions. The papers are centered on urban and regional planning; water information systems; geospatial information and technologies; spatio-temporal database management; decision support systems; energy information systems; GPS and location detection.Table of ContentsMapping Prosopis Juliora Invasion using Remote Sensing Data and GIS Geostatistics Techniques.- Progress on Land Surface Phenology Estimation with Multispectral Remote Sensing.- Analytical Hierarchical Processing to Delineate Artificial Groundwater Recharge Zones.- Characteristic of the Urban Landscape of the City of Split (Croatia) - Application of WorldView3 Imagery and GEOBIA Method in Derivation of Urban Planning Indicators (UPI).- Potential and Limitations of Free Online Precise Point Positioning Services for GNSS Rover-Base Surveys in Low-Density CORS Areas.- The Use of Volunteered Geographic Information to Explore Informal Trail Networks in Protected Areas.- Solar Energy Assessment: From Rooftop Extraction To Identifying Utilizable Areas.

Read more less

Book Synopsis​Volume LNCS 14414 constitutes the refereed proceedings of the 26th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2023, which was held in Vancouver, Canada in October 2023.The DEMI 2023 proceedings contain 11 high-quality papers of 9 to 15 pages pre-selected through a rigorous peer review process (with an average of three reviews per paper). All submissions were peer-reviewed through a double-blind process by at least three members of the scientific review committee, comprising 16 experts in the field of medical imaging. The accepted manuscripts cover various medical image analysis methods and applications.Table of ContentsWeakly Supervised Medical Image Segmentation through Dense Combinations of Dense Pseudo-Labels.- Whole Slide Multiple Instance Learning for Predicting Axillary Lymph Node Metastasis.- A Client-server Deep Federated Learning for Cross-domain Surgical Image Segmentation.- Pre-training with simulated ultrasound images for breast mass segmentation and classification.- Efficient Large Scale Medical Image Dataset Preparation for Machine Learning Applications.- A Self-supervised Approach for Detecting the Edges of Haustral Folds in Colonoscopy Video.- Procedurally Generated Colonoscopy and Laparoscopy Data For Improved Model Training Performance.- Improving Medical Image Classification in Noisy Labels Using Only Self-supervised Pretraining.- A Study on Using Transformer Encoding Techniques to Optimize Data-driven Volume-to-Surface Registration for Minimally Invasive Liver Interventions.- Vision Transformer-based Self-Supervised Learning for Ulcerative Colitis Grading in Colonoscopy.- Task-guided Domain Gap Reduction for Monocular Depth Prediction in Endoscopy.

Read more less

Book SynopsisThis book constitutes the refereed proceedings of the 7th International Joint Conference on Rules and Reasoning, RuleML+RR 2023, held in Oslo, Norway, during September 18–20, 2023. The 13 full papers and 3 short papers included in these proceedings were carefully reviewed and selected from 46 submissions. They focus on all aspects of theoretical advances; novel technologies; innovative applications; knowledge representation; reasoning with rules; and research, development, applications of rule-based systems. Table of ContentsPapers.- Extension of Regression Tsetlin Machine for Interpretable Uncertainty Assessment.- GUCON: A Generic Graph Pattern based Policy Framework for Usage Control Enforcement.- Combining Proofs for Description Logic and Concrete Domain Reasoning.- Notation3 as an Existential Rule Language.- Fine-tuning Large Enterprise Language Models via Ontological Reasoning.- Layerwise Learning of Mixed Conjunctive and Disjunctive Rule Sets.- Analyzing Termination for Prev-Aware Fragments of Communicating Datalog Programs.- Marrying Query Rewriting and Knowledge Graph Embeddings.- Lore: Educational Deductive Database System.- Comparing State of the Art Rule-Based Tools for Information Extraction.- A Case Study for Declarative Pattern Mining in Digital Forensics.- Semantic Role Assisted Natural Language Rule Formalization for Intelligent Vehicle.- FreeCHR: An Algebraic Framework for CHR-Embeddings.- Explaining the optimal trajectories.- Abstract Domains for Database Manipulating Processes.- Extracting Interpretable Hierarchical Rules from Deep Neural Networks’ Latent Space.

Read more less

Book SynopsisThese two volumes constitute the proceedings of the 10th International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making, IUKM 2023, held in Kanazawa, Japan, during November 2-4, 2023. The 58 full papers presented were carefully reviewed and selected from 107 submissions. The papers deal with all aspects of research results, ideas, and experiences of application among researchers and practitioners involved with all aspects of uncertainty modelling and management.Table of ContentsUncertainty Management and Decision Making.- Optimization and Statistical Methods.- Economic Application

Read more less

Book SynopsisThis book constitutes the refereed proceedings of 7 workshops, held at the 42nd International Conference on Conceptual Modeling, ER 2023, held in Lisbon, Portugal, during November 6-9, 2023. The 28 full and 2 short papers were carefully reviewed and selected out of 53 submissions. Topics of interest span the entire spectrum of conceptual modeling, including research and practice in areas such as theories of concepts and ontologies, techniques for transforming conceptual models into effective implementations, and methods and tools for developing and communicating conceptual models. The following workshops are included in this volume: CMLS – 4th International Workshop on Conceptual Modeling for Life Sciences; CMOMM4FAIR – Third Workshop on Conceptual Modeling, Ontologies and (Meta)data Management for Findable, Accessible, Interoperable, and Reusable (FAIR) Data; EmpER – 6th International Workshop on Empirical Methods in Conceptual Modeling; JUSMOD – Second International Workshop on Digital Justice, Digital Law and Conceptual Modeling; OntoCom – 9th International Workshop on Ontologies and Conceptual Modeling; QUAMES – 4th International Workshop on Quality and Measurement of Model-Driven Software Development; SmartFood – First Workshop on Controlled Vocabularies and Data Platforms for Smart Food Systems. Table of Contents​CMLS: An Ontology for Breast Cancer Screening.- Integrating Nuclear Medicine and Radiopharmacy Data: A Conceptual Model for Precision Medicine and Enhanced Patient Care.- Comprehensive Representation of Variation Interpretation Data via Conceptual Modeling.- Enhancing Precision Medicine: An Automatic Pipeline Approach for Exploring Genetic Variant-Disease Literature.- CMOMM4FAIR: euFAIR: A Digital Tool for Assessing the FAIR Principles.- EmpER: Empirical Exploration of Open-Source Issues for Predicting Privacy Compliance.- Human-Centred Conceptual Modelling for Re-Designing Urban Planning.- Using Knowledge Graphs to Generate SQL Queries from Textual Specifications.- A Systematic Approach to Generate TOGAF Artifacts Founded on Multiple Data Sources and Ontology.- Bridging the Gap: Conceptual Modeling and Machine Learning for Web Portals.- JUSMOD: New-Generation Templates Facilitating the Shift from Documents to Data in the Italian Judiciary.- Supervised Learning, Explanation and Interpretation from Pretrial Detention Decisions by Italian and Brazilian Supreme Courts.- Few-Shot Legal Text Segmentation via Rewiring Conditional Random Fields: A Preliminary Study.- Identification and Visualization of Legal Definitions and Legal Term Relations.- Comparative Analysis of Disinformation Regulations: A Preliminary Analysis.- Privacy-Preserving Data Integration for Digital Justice.- Public Procurement Analysis with Process Discovery Techniques and Event Log Enrichment.- Formalising Legal Knowledge of Sri Lankan Civil Appellate High Court Domain from Ontological Perspective.- OntoCom: Towards Semantics for Abstractions in Ontology-Driven Conceptual Modeling.- Misalignments of Social and Numerical Identity – An Ontological Analysis.- Using an Ontology for Defining Semantics of Fractal Enterprise Model.- One Model to Rule Them All: A Demonstration of Ontology-Driven Minimum Viable Product Development for a Local Tourism Platform.- Enhancing Requirement-Information Mapping for Sustainable Buildings: Introducing the SFIR Ontology.- On the Use of ChatGPT for Classifying Domain Terms According to Upper Ontologies.- QUAMES: Exploring Understandability in Socio-Technical Models for Data Protection Analysis: Results from a Focus Group.- FlowTGE: Automating Functional Testing of Executable Business Process Models Based on BPMN.- An Approach Aligned with Model Driven Development to Evaluate the Quality of Explainable Artificial Intelligence.- SmartFood: Unveiling major Knowledge Organization Systems’ artifacts for Agriculture with network graphs.- Design Implications Towards Human-Centric Semantic Recommenders for Sustainable Food Consumption.- CoffeeWKG: A Weather Knowledge Graph for Coffee Regions in Colombia.

Read more less

Book SynopsisThis book constitutes the proceedings of the 22nd International Semantic Web Conference, ISWC 2023, which took place in October 2023 in Athens, Greece. The 58 full papers presented in this double volume were thoroughly reviewed and selected from 248 submissions. Many submissions focused on the use of reasoning and query answering, witha number addressing engineering, maintenance, and alignment tasks for ontologies. Likewise, there has been a healthy batch of submissions on search, query, integration, and the analysis of knowledge. Finally, following the growing interest in neuro-symbolic approaches, there has been a rise in the number of studies that focus on the use of Large Language Models and Deep Learning techniques such as Graph Neural Networks.

Read more less

Book SynopsisThis book constitutes the refereed proceedings of the 5th Iberoamerican Conference and 4th Indo-American Conference on Knowledge Graphs and Semantic Web, KGSWC 2023, held jointly in Zaragoza, Spain, during November 13–15, 2023.The 18 full and 2 short papers presented were carefully reviewed and selected from 50 submissions. They focus on the following topics: knowledge representation; natural language processing/text mining; and machine/deep learning research.Table of ContentsAn ontology for Tuberculosis Surveillance System.- Should I Stay or Should I Go: A New Reasoner for Description Logic.- An Intelligent Article Knowledge Graph Formation Framework using BM25 Probabilistic Retrieval Model.- Defeasible Reasoning with Knowledge Graphs.- Recommendation of Learning Paths based on Open Educational Resources.- An enterprise architecture for interpersonal activity knowledge management.- Unlocking the Power of Semantic Interoperability in Industry 4.0: A Comprehensive Overview.- On the Representation of Dynamic BPMN Process Executions in Knowledge Graphs.- Towards a Framework for Seismic Data.- Using Pregel to create Knowledge Graphs subsets described by non-recursive Shape Expressions.- ITAQ : Image Tag Recommendation Framework for Aquatic Species integrating Semantic Intelligence via Knowledge Graph.- Automatic Semantic Typing of Pet E-Commerce Products Using Crowdsourced Reviews: An Experimental Study.- A Modular Ontology for MODS – Metadata Object Description Schema.- A Topic Model for the Data Web.- Automating the Generation of Competency Questions for Ontologies with AgOCQs.- KnowWhereGraph-Lite: A Perspective of the KnowWhereGraph.- Ontology-Based Models of Chatbots for Populating Knowledge Graphs.- An Ontology for Reasoning about Fairness in Regression and Machine Learning.- SCIVO: Skills to Career with Interests and Values Ontology.- Topic Modeling for Skill Extraction from Job Postings.

Read more less

Book Synopsis

Read more less

Book SynopsisRepresentation of Discrete Signals and Systems.- The z-transform Analysis of Discrete Time Systems.- Discrete Fourier Transform and Computation.- Design of IIR Digital Filters.- Design of Finite Impulse Response (FIR) Digital Filters.- Digital Signal Processor.- Index.

Read more less

Book SynopsisThis book collects together selected peer-reviewed contributions presented at the European Conference on Data Analysis, ECDA 2022, held in Naples, Italy, September 14-16, 2022. Highlighting the role of statistics in discovering novel and interesting patterns in the era of big data, it follows the motto of the conference: “Avoiding drowning in the data: recent trends and future challenges in learning from data”. The central focus is on multidisciplinary approaches to data analysis, classification, and the interface between computer science, data mining and statistics. Both methodological and applied topics are covered. The former includes supervised and unsupervised techniques with particular emphasis on advances in regression and clustering analysis and constructing composite indicators. The applications are mainly in risk analysis, biology, and education. The volume is organized into four main macro themes: methodological contributions in the social sciences and education, multivariate analysis methods for big data, innovative contributions for applications inspired by biology, and strategies for analyzing complex data in finance.Table of ContentsPreface.- Building hierarchies of factors with disjoint factor analysis.- Uncertainty in Latent Trait Models and dimensionality reduction methods for complex data: an analysis of taxpayer perception on the Fiscal System.- The predictivity of access tests for university success.- Asynchronous and synchronous-asynchronous particle swarms.- The impact of the Covid-19 pandemic on modelling volatility and risk analysis of returns in selected European financial markets.- Asymmetric binary regression models for imbalanced datasets: an application to students’ churn.- Computational models supporting decision-making in managing publication activity at Polish universities.- Stability of nonparametric methods for cognitive diagnostic assessment.- SMARTS: SeMi-supervised clustering for Assessment of Reviews using Topic and Sentiment.- The equitable and sustainable wellbeing through the pandemic. A first study to assess changes at local level in Italy.- Choice-Based Optimization under High-Dimensional MNL.- A first glance on co-evolution of Boolean networks to simulate the development of cross-talking systems in molecular biology.- Classification on polish fund market during COVID-19 pandemic - extreme risk modeling approach.

Read more less

Book SynopsisBusiness Engineering.- Arctic Sustainable Development: Digital and Logistics Infrastructure in the Region.- Methodology for Modeling the Impact of Multimodal Transportation on the Development of the Arctic Region of Russia.- Can hackathons contribute to the development of entrepreneurship among students at all? Case study of an educational cross functional hackathon.- The Port of Saint Petersburg Redevelopment: Threats and Opportunities.- The role of enterprise architecture in the digital transformation of energy.- Implementation of ILS methodology on the basis of ISO 55000 series standards.- POSSIBILITIES OF USING COMPUTER-AIDED DESIGN SYSTEMS TO IMPROVE THE QUALITY OF TECHNICAL SPECIALISTS TRAINING.- On the issue of choosing the best predictive model based on Bayesian principles.- Industrial Economics.- Modeling of Socio-Economic Processes Agent Systems.- Data Preprocessing for Modeling Socioeconomic Systems in View of Uncertainty.- Managing Financial Risks in Industrial Entrepreneurship.- Study of "ultra-retail" Russian stock market volatility in the national economic security context.- Effect of Share Repurchase on Stock Price of Chinese Listed Companies.- Key factors in efficient auditing of investment projects in time of digitalization.- Production functions in the intellectual capital management of industrial enterprises.- Problems of import substitution of processors and ways to solve them in the Russian Federation.- Industrial Management.- Academic School for Training Engineers-economists and Economists-managers of Machine-building Profile at Peter the Great St. Petersburg Polytechnic University.- Development of the Theory of Optimization and Management of Metallurgical Production and its Technological Processes.- The History of the Formation and Development of the Energy Profile of the Graduate School of Industrial Management.- Automated Management Systems, Economic and Mathematical Methods, Transition to Digitalization of Management.- The Concept of Asset and Enterprise Value Management in the Development of Industrial Management Theory.- Current Trends and Problems of Development of the Oil and Gas Industry in the Context of Import Substitution and Transition to Low-carbon Energy.- Methodology for Assessing of the Energy Potential of a Region.- Modification of the Balanced Scorecard in a Digital Economy.- Marketing Digitalization Aspects: Manufacturing Firms Experience.- Human Capital Management of Industrial Enterprises in Modern Conditions.- Prospects for International Economic Cooperation between Russia and China in the Interests of the Development of the Arctic Region.- Model of Strategic Management of National Agri-business: Conceptual, Theoretical, and Applied Aspects.- Public Administration.- Drivers of Innovative Changes in the Recycling Industry: Regional Leadership, Society Involvement, and Professional Collaboration.- The Place of Digitalization in Managing the Socio-Economic Development of Regions and Countries.- State Regulation of Educational Tourism.- Model of Adaptive Public Management of Regional Innovation and Industrial Clusters.- Improving the Efficiency of Using LMS Moodle in the Educational Process by Implementing Gamification Technologies.- The Internet and Local Government Communication with Citizens and Local Communities.- Green Human Resource Management Concept: Russia and The World Comparison.- Service and Trade.- Authenticity of indigenous peoples in the conditions of industrial development of the Arctic.- Study of Factors Forming Loyalty to Influencers.- Marketing Complex in the Concept of Metaverse: Growth Options and Development Problems.- Digital platforms and ecosystems in air passenger transportations: interpretation of definitions and offering a new perspective.- Digital transformation of marketing strategies in construction SMEs.- Possibilities of applying neural network models to assess quality of life.- Digital Logistics Platform for Bioenergy Goods Networks.- Maturity level assessment of a process management system: problems and prospects of current methodologies.- Analysis of Dynamics and Identification of Trends in the Development of the Service Sector in Modern Realities.- State-Run Food Retail Chains as a Tool of Food Security: an Analysis of Existing Practices.- Economic Theory.- The History of the Emergence and Development of Economic Education at St. Petersburg Polytechnic University. 

Read more less

Book SynopsisRemote sensing for natural resource management.- Contribution of Remote sensing and GIS to the mapping of fractured reservoirs in the Donga Department (Northwestern Benin) for a sustainable management of their resources.- Assessment of the potential of complementary between optical and radar remote sensing for the monitoring of tropical ecosystems in central Africa: case of the hunting area and reserve of Bombo-Lumene and the mangroves marine park in the Democratic Republic of Congo.- Mangrove forests monitoring using Google Earth Engine platform in the extreme North-East of Madagascar.- The use of unmanned aerial vehicle (UAV) Thermal and multispectral products in quantifying crop water use for irrigated barely crop.- Integrating geo-localized smartphone photos and drone imagery to validate optimum gas pipeline routes in West Africa, Senegal.- EO and geospatial information for sustainable -human security.- Effective Application of Remote Sensing and GIS: Indispensable Tools for Military Intervention on Insecurity in Nigeria.- Geospatial information for smart city development.- Spatio-temporal and analysis of schools performance at the national senior certificate (matric) examination in Western Cape province, South Africa.- Development of a gender-based violence emergency response system.- Assessing sustainability of urban growth in Ongata Rongoi town, Kajiado County, Kenya.- Earth Observation (EO) for Sustainable Urbanisation in Africa: Case of Kumasi, Ghana.- Space and geospatial technologies for land administration and management.- Modelling priority management areas for LULC change in the Okavango basin.- Analysis of landuse and landcover dynamics and its impacts on WEF nexus resources over a 30-year period (1990-2020) in Mpumalanga, South Africa.- Sustainable land asset utilization.- Land Productivity and Degradation Trend Monitoring using Remote Sensing and GIS in Lake Chad Basin (LCB).- Impact of using Surveying Instruments in Land Subdivision and demarcation in Sub - Sahara African Countries. The Case of Rwanda Parcels.- Space technology for environmental monitoring and sustainability.- The LSA SAF ET product: an operational service of sub-daily estimation of evapotranspiration in near-real time across Europe, Africa and Eastern South America.- Modelling evapotranspiration and runoff rates in Swat, Amid changing landuse and land cover and climatic conditions in the Muringato basin.- Mapping invasive plant species using very high-resolution imagery and Machine learning in Lesotho wetlands.- A scoping review of remote sensing-based surface energy balance (SEB) evapotranspiration (ET) modelling approaches.- Unmanned aerial vehicle for peatland degradation assessment.- Space technology for environmental monitoring and sustainability.- Coastal vulnerability assessment of the Tabou-Fresco coastline (Côte d'Ivoire) using Earth Observation data.- Contribution of the hierarchical analysis process (AHP) in the assessment and mapping of flood risks on the Allada plateau.- National Land Cover and Crop Mapping through Digital Earth Africa platform.- Evaluation of Sentinel-2 spectral reflectance and indices to estimate grass and ccc in heterogeneous grassland.- Land pollution lookout: engaging citizen scientists in analyzing Niger delta oil spills using satellite images.- Earth Observation based protected areas monitoring and assessment in East Africa.- Remote sensing Climate change adaptation and mitigation strategies.- Agricultural Adaptation Strategies to Climate Change Impacts in Lake Chad Basin.- To share or not to share: deciding for (not) sharing geospatial data in Ugandan health sector organizations.- Land Suitability Appraisal for Tomato Farming Using a GIS and AHP Methods in Ede Region, South Western Nigeria.- Space Capacity building and utilization.- Recent advances in SAR image despeckling and change detection using deep learning approaches.- Innovative space technologies.- Digital Earth Africa - operational EO-based insights for Africa's development challenges.- Development of a Web-based GIS platform for Environmental monitoring and conservation of the Muringato Catchment.

Read more less

Book Synopsis

Read more less

Book Synopsis

Read more less

Book SynopsisHistorical and Conceptual Foundations.- Evolving Libraries From Ancient Scrolls to Digital Archives.- The Evolving Role of Libraries From Repositories to Dynamic Hubs.- Algorithmic Innovations Pioneering the Future of Library Services.- Digital Transformations and Emerging Technologies.- Digital Transformation Reshaping Access and Engagement.- Future Vision Libraries as Digital Era Beacons.- Data Driven Library Management From Data to Insights.- Emerging Technologies in Smart Digital Libraries.- AI Driven Innovation in Smart Digital Libraries Empowering Users and Enhancing Services.- User Experience and Engagement in Smart Digital Libraries.- Knowledge Graphs in Smart Digital Libraries.- AI Powered Smart Digital Libraries.

Read more less

Book SynopsisIntelligent image analysis and multimedia technology.- information network and security.- digital communication and information systems.- and design and implementation of modern information management systems.

Read more less

Book Synopsis.- Effects of Imputation Techniques on Predictive Performance of Supervised Machine Learning Algorithms: Empirical Insights from Health Data Classification..- Predicting Air Quality in an Urban African City Using Four Comparative Novel Time Series Models..- Obesity Classification Using Weighted Hard and Soft Voting Ensemble Machine Learning Classifiers..- Predictive Modeling for Disease Diagnosis Using Calibrated Algorithms: A Comparative Study..- Predicting Precipitation Dynamics in Africa Using Deep Learning Models..- Enhancing Predictive Performance through Optimized Ensemble Stacking for Imbalanced Classification Problems..- A Comparative Exploration of SHAP and LIME for Enhancing the Interpretability of Machine Learning Models in BMI Classification..- Decision Tree Planning Strategies for Predicting Obesity..- Clustering Multiple Time Series with SSA..- Spine-Based Calibration for Classification Algorithms: An Experimental Comparison of Various Imbalanced Ratios..- Exploring the Applicability of Advanced Exponential Smoothing and NN Models for Climate Time Series Forecasting: Insights and Changepoint Prediction in the Brazilian Context..- A Comprehensive Forecasting Experiment on Temperature Trends Across Thirty-Two American Countries..- A Comparative Analysis of Sampling Methods for Imbalanced Data Classification in Machine Learning Health Applications..- Comparative Analysis of MCC, F1-Score, and Balanced Accuracy Metrics for Imbalanced Health Data Classification..- Basics of R- Shiny for developing Interactive Visualizations.

Read more less

Book Synopsis1. Introduction.- 2. Demand Forecasting.- 3. Inventory Management.- 4. Distribution Management.- 5. Capacity Planning.- 6. Optimization Theory.- 7. Special Optimization Problems.- 8. Workforce Planning And Scheduling.- 9. Heuristic Algorithms.- 10. Queuing Theory.- 11. Simulation.

Read more less

Book Synopsis

Read more less

Book Synopsis

Read more less

Book SynopsisStudy on Extracting Keywords that Reveal the Value of Research Data Through Comparisons between Academic and Data Paper.- Similar Experimental Flow Search with Operation Grouping for Chemical Material Development.- BP-Pearson Residual for Detecting Outliers in Beta Regression Model.- Reliability Calculation for Captured Images in Mobile Observation for Natural Environments.- Characteristic Analysis and Attack Group Identification of Phishing Sites Targeting Japan.- Evaluation of the Trust Algorithm to Prevent Illegal Information Flow in the Trust Zone Model.- Structuring Clinical Image Reports: Attempt to Implement a Local-Large Language Model.- V2X Communication based on Cellular Multi-Links Method for Autonomous Driving.- An Emotion Classification System Considering Analytic Hierarchy Process.- A Web-Based Collaborative Virtual Reality Class for Gamified Learning of Chemical Molecules.- A Transformer Based Behavioral Control Method for Quadruped Robot.

Read more less

Book SynopsisIntroduction.- Bring Your Own Device.- Theoretical Framework and Hypotheses Development.- Research Methodology.- Analysis, Results and Discussion.- Conclusion and Future Work.

Read more less

Book SynopsisScalable Blockchain and Robotics Technology for a Patient-Centric Next Generation Medical System.- Face Mask Detection using Multimedia Data and Deep Learning Techniques.- Digital Twin Robots for Securing IoT Based Healthcare 4.0 Application: Key Technologies, Integration Trends and Recent Advancement.- Evolution of FinFET SRAM Cells for Smart Robotics: A Comprehensive Review.- Robot Path Planning Using Triangular Inequality.- Smart Factory Architecture, Infrastructure and Design of Manufacturing Systems using Robotics.

Read more less

Book SynopsisEconomic Method for Sensing Data Offloading in the Metaverse.- Securing Maritime Critical Infrastructure: A Multi-Domain AODV-based Communication Protocol for UxVs.- End-to-End MACsec Encryption in a Two-Data Centre Network over Routed WAN.- A New Broadcasting Scheme Based on Reinforcement Learning-Driven Adaptive Fuzzy Logic in Mobile Ad Hoc Networks.- Mobile Traffic Prediction Method Based on Federated Proximal Algorithm.- Reinforcement Learning Based Trajectory Optimization for MEC-UAV.- Deep Reinforcement Learning Based Resource Allocation in Ultra Reliable 5G Core Networks.

Read more less

Book SynopsisFault diagnosis method for lithium-ion batteries in electric vehicles based on generalized dimensionless indicator and adaptive threshold.- Improved Subject and Purpose-Oriented Serializability with Multi-Version Concurrency Control.- AI4PM: Distributed and Intelligent Programmable Matter.- Racist Aesthetics in Digital Extremist Communities.- Causality-Based Approach in Retail for Finer Product Clustering.

Read more less

Book SynopsisWhen Colorimetry meets the Cloud: IoT-enabled Health Monitoring at Home via Highly-specific Gas Sensing.- Exploring NLP Techniques for Code Smell Detection: A Comparative Study.- AI-Based Noninvasive Pain Detection in Alzheimer’s Patients Using Facial Micro-Expression Analysis.- Cross-Model Federated Learning-based Network Traffic Classification.- Collaborative Warehouse Order Fulfillment via Goal-directed Curiosity and Hierarchical Reinforcement Learning.- The Value of Complaints: Churn Prediction in a Major Residential Internet Service Provider Using Textual Data.- TrPrNet: Early Parkinson Detection Network Using Marker-less Gait Analysis.- Enhanced Lung Cancer Detection Using Vision Transformer for Features Extraction and SVM Classification.

Read more less

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