04827nam 22006735 450 991101875160332120250730130234.0978981965269310.1007/978-981-96-5269-3(CKB)39766979000041(MiAaPQ)EBC32250684(Au-PeEL)EBL32250684(DE-He213)978-981-96-5269-3(EXLCZ)993976697900004120250730d2025 u| 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierConvergence of Artificial Intelligence, Machine Learning, and the Internet of Things in Industry 4.0 Applications /edited by Amrita Rai, Dinesh Kumar Singh, Rupali Singh, Korhan CENGİZ1st ed. 2025.Singapore :Springer Nature Singapore :Imprint: Springer,2025.1 online resource (421 pages)Transactions on Computer Systems and Networks,2730-74929789819652686 Artificial Intelligence – An Overview -- VLSI and Neural Networks Integration in Industry 4.0: A Comprehensive Approach -- AI/ML-Based Approaches in Healthcare: Transforming Diagnosis, Treatment, and Beyond -- Maintaining Electronic Health Records using ML and IoT techniques -- Sentiment Analysis During Covid-19 using Machine Learning Techniques -- Transforming Industry 4.0 with AI, ML, and IoT: An Overview of Emerging Trends -- Synergizing VLSI and Neural Networks: Unveiling the Nexus of Innovation in Industry 4.0 -- Securing E-Learning in the Era of Industry 4.0: A Data Mining Approach -- Channel Estimation in Beyond-5G Massive MIMO System Using Machine Learning -- Supervised Machine Learning Algorithms for Retinal vessel detection in the Retinal Images-A Comprehensive Approach -- Signal Processing techniques and Data Collection through Sensors in Industry 4.0Application -- Design a Photonic Crystal Fiber based Biosensor using a thin metals layer for Industry 4.0 -- Detection and diagnosis of cervical cancer using machine learning models -- AI/ML based approaches in healthcare Industry -- Artificial Intelligence Techniques for Sentimental analysis during pandemic -- Precision Oncology: Innovations in Computational intelligent for Cancer Detection.The book offers valuable insights into research related to Industry 4.0 applications that utilize artificial intelligence (AI), machine learning (ML), and the Industrial Internet of Things (IIoT). Industry 4.0, also known as the Fourth Industrial Revolution, includes disruptive technologies such as the Internet of Things (IoT), robotics, virtual reality (VR), VLSI architecture, and AI, all of which are transforming modern society and manufacturing practices. This book addresses various aspects of smart industrial application design strategies and their effects on next-generation systems, including quantum computing, edge computing, IoT, cybersecurity, nano-communications, and robotic automation. The application of AI, machine learning techniques, and IoT is anticipated to improve the performance of automated and controlled systems. Intended as a resource for academics, researchers, and professionals in the fields of AI and ML, the content also explores their applications within the industrial revolution and the influence of VLSI on the global market. Additionally, the book serves as a reference for developing sustainable engineering solutions to address various global industrial challenges.Transactions on Computer Systems and Networks,2730-7492Artificial intelligenceIndustrial engineeringProduction engineeringCooperating objects (Computer systems)Internet of thingsArtificial IntelligenceIndustrial and Production EngineeringCyber-Physical SystemsInternet of ThingsArtificial intelligence.Industrial engineering.Production engineering.Cooperating objects (Computer systems)Internet of things.Artificial Intelligence.Industrial and Production Engineering.Cyber-Physical Systems.Internet of Things.006.3Rai Amrita1359528Kumar Singh Dinesh1359529Singh Rupali1837063CENGİZ Korhan1359531MiAaPQMiAaPQMiAaPQBOOK9911018751603321Convergence of Artificial Intelligence, Machine Learning, and the Internet of Things in Industry 4.0 Applications4415420UNINA