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Convergence 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 CENGİZ
| Convergence 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 CENGİZ |
| Autore | Rai Amrita |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (421 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
Kumar SinghDinesh
SinghRupali CENGİZKorhan |
| Collana | Transactions on Computer Systems and Networks |
| Soggetto topico |
Artificial intelligence
Industrial engineering Production engineering Cooperating objects (Computer systems) Internet of things Artificial Intelligence Industrial and Production Engineering Cyber-Physical Systems Internet of Things |
| ISBN | 9789819652693 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 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. |
| Record Nr. | UNINA-9911018751603321 |
Rai Amrita
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Micro-Electronics and Telecommunication Engineering : Proceedings of 8th ICMETE 2024
| Micro-Electronics and Telecommunication Engineering : Proceedings of 8th ICMETE 2024 |
| Autore | Mahapatra Rajendra Prasad |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Singapore : , : Springer, , 2025 |
| Descrizione fisica | 1 online resource (843 pages) |
| Disciplina | 621.381 |
| Altri autori (Persone) |
SinghRupali
MishraSukumar GuptaSaptarshi |
| Collana | Lecture Notes in Networks and Systems Series |
| ISBN | 981-9665-15-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9911028759003321 |
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Mahapatra Rajendra Prasad
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| Singapore : , : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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