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| Autore: |
Udgata Siba K
|
| Titolo: |
Intelligent Systems : Proceedings of 4th International Conference on Machine Learning, IoT and Big Data (ICMIB 2024), Volume 1 / / edited by Siba K. Udgata, Srinivas Sethi, George Ghinea, Sanjay Kumar Kuanar
|
| Pubblicazione: | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
| Edizione: | 1st ed. 2025. |
| Descrizione fisica: | 1 online resource (628 pages) |
| Disciplina: | 006.3 |
| Soggetto topico: | Computational intelligence |
| Machine learning | |
| Big data | |
| Internet of things | |
| Cooperating objects (Computer systems) | |
| Computational Intelligence | |
| Machine Learning | |
| Big Data | |
| Internet of Things | |
| Cyber-Physical Systems | |
| Altri autori: |
SethiSrinivas
GhineaGeorge
KuanarSanjay Kumar
|
| Nota di contenuto: | Optimizing Lung Cancer Risk Prediction -- Hybridizing Fully Informed Search -- Drug Recommendation System for Humans -- Assessment of tooth wear -- SSTSM A Black Box Test. |
| Sommario/riassunto: | This book features best selected research papers presented at the Fourth International Conference on Machine Learning, Internet of Things and Big Data (ICMIB 2024) held at GIET University, Gunupur, India, during 8–10 April 2024. It comprises high-quality research work by academicians and industrial experts in the field of machine learning, mobile computing, natural language processing, fuzzy computing, green computing, human–computer interaction, information retrieval, intelligent control, data mining and knowledge discovery, evolutionary computing, IoT and applications in smart environments, smart health, smart city, wireless networks, big data, cloud computing, business intelligence, Internet security, pattern recognition, predictive analytics applications in health care, sensor networks and social sensing, and statistical analysis of search techniques. . |
| Titolo autorizzato: | Intelligent Systems ![]() |
| ISBN: | 981-9637-97-X |
| Formato: | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9911021964003321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |