Titlebook: Big Data Analytics in Intelligent IoT and Cyber-Physical Systems; Nonita Sharma,Monika Mangla,Subhash K. Shinde Book 2024 The Editor(s) (i

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坦白

Sensing and Communication Mechanisms for Advanced Robotics and Complex Cyber-Physical Systemsper and improved software and scalable hardware accelerating the progress. Self-driving cars, an emerging branch of cyber-physical systems, have become increasingly common and collaborative robots are being utilized in industries to work to fulfill activities that cannot be controlled by a single ro

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Deep Learning-Based Anomaly Detection in Cyber-Physical Systemre becomes a physical part of the system. When cyber and physical systems work together, new possibilities and difficulties arise. Cyber components offer additional levels of complexity to CPSs, which are already ubiquitous in modern civilization, with software controlling everything from automobile

花費

ADJ

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Employability of Decision Support System in Data Forecasting for Internet of Things Networksfor data forecasting and authors are utilizing two important aspects, namely, statistical analysis and time forecasting models. For statistical analysis, authors have employed stock market data. Further, life expectancy data from World Health Organization (WHO) are utilized for model forecasting. Ea

amnesia

IoT-Enabled Fuzzy Inference System for Heart Disease Monitoringect result of the rising cost of treating these diseases. Despite the hefty price tag, the quality of life for those living with chronic conditions is poor. Despite tremendous progress in preventative strategies and treatments, heart failure continues to be a leading cause of morbidity and mortality

PET-scan

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A Feature Selection Technique Using Self-Organizing Maps for Software Defect Predictionld result in less resource consumption, and hence, effective feature selection techniques are needed to provide better inputs to the classifier. A carefully selected subset of features can not only increase prediction accuracy, but also result in less expensive computation. Wrapper methods for featu