Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications

This item is printed on demand - Print on Demand Titel. Neuware -¿Invited Keynotes.- Towards a Foundation of Web3.- In-Memory Computing Architectures for Big data and Machine Learning Applications.- Secure and Efficient Implementation of Electronic Money.- Managing the Quality of Data and Metadata for Biobanks.- Big Data Analytics and Distributed Systems.- Towards A Privacy, Secured and Distributed Clinical Data Warehouse Architecture.- Improving the Storage Utilization of 0-Complete Trees as Index Structures.- Implement the Data Conversion System by using ¿-Lightweight Coreset for Validation Process.- Content Selection Methods Using User Interest Prediction Based on Similarities of Web Activities.- ImageNet Challenging Classification with the Raspberry Pis: A Federated Learning Algorithm of Local Stochastic Gradient Descent Models.- Covid-19 Detection Based on Lung Lesion Signs in Big Data Processing Environment.- Predicting Loan Repayment Using A Hybrid of Genetic Algorithms, Logistic Regression, and Artificial Neural Networks.- Performance Evaluation of Regular Decomposition and Benchmark Clustering Methods.- Security and Privacy Engineering.- Authentication of Luxury Products - Identifying Key Requirements from a Seller and Consumer Perspective.- Analysis of A New Practical SPN-based Scheme in the Luby-Rackoff Model.- Authorization and Access Control for Different Database Models: Requirements and Current State of the Art.- A Hierarchical Deterministic Wallet using Ed25519 Digital Signature Scheme.- A Secure Framework for Internet of Medical Things Security Based System using Lightweight Cryptography enabled Blockchain.- Signature Algorithms on Non-commutative Algebras over Finite Fields of Characteristic Two.- Design a Smart Lock System Using Fingerprint and Password for Enhancing Security.- Machine Learning and Artificial Intelligence for Security and Privacy.- Towards an Attention-based Threat Detection System for IoT Networks.- Security and Privacy Issues and Solutions in Federated Learning for Digital Healthcare.- pPATE: A Pragmatic Private Aggregation of Teacher Ensembles Framework by Sparse Vector Technique based Differential Privacy, Paillier Cryptosystem and Human-in-the-loop.- Vietnamese Text's Writing Styles Based Authorship Identification Model.- Application of Machine Learning in Malware Detection.- Smart City and Industry 4.0 Applications.- Text Classification Models and Topic Models: An Overall Picture and A Case Study in Vietnamese.- Deep Hybrid Models for Forecasting Stock Midprices from the High-Frequency Limit Order Book.- An Image Denoising Model based on Nonlinear Partial Diferential Equation Using Deep Learning.- Recommendations in E-Commerce Systems based on Deep Matrix Factorization.- AttendanceKit: A set of Role-based Mobile Applications for Automatic Attendance Checking with UHF RFIDusing Realtime Firebase and Face Recognition.- Poses Classification in a Taekwondo Lesson using Skeleton Data extracted from Videos with Shallow and Deep Learning Architectures.- Social Distancing Violation Detection in Video using ChessBoard and Bird's-eye Perspective.- 3D-FaultSeg-UNet: 3D Fault Segmentation in Seismic Data Using Bi-stream U-Net.- Applying Artificial Intelligence to Plan Flight Paths for Aircraft at Subsonic Speeds.- Capacity Building in Government: Towards Developing A Standard for A Functional Specialist in AI for Public Services.- On the Feasibility of Machine Learning Models for Customer Spending Prediction Problem.- Forecasting the Opening and Closing Price Trends of Stock Using Hybrid Models and Artificial Intelligence Algorithm.- Artificial Intelligence Use in e-Government Services: A SysSpringer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 784 pp. Englisch. …