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Titolo: | Information and Communication Technology for Intelligent Systems [[electronic resource] ] : Proceedings of ICTIS 2018, Volume 1 / / edited by Suresh Chandra Satapathy, Amit Joshi |
Pubblicazione: | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019 |
Edizione: | 1st ed. 2019. |
Descrizione fisica: | 1 online resource (XV, 745 p. 392 illus., 261 illus. in color.) |
Disciplina: | 006.3 |
Soggetto topico: | Engineering |
Big data | |
Computational Intelligence | |
Big Data | |
Signal, Image and Speech Processing | |
Persona (resp. second.): | SatapathySuresh Chandra |
JoshiAmit | |
Nota di contenuto: | Semantic Segmentation using Deep learning for Brain Tumor MRI via Fully Convolution Neural Networks -- An Efficient Cryptographic Mechanism to Defend Collaborative Attack against DSR Protocol in Mobile Adhoc Networks -- Materialized Queries with Incremental Updates -- Traffic Signal Automation through IoT by Sensing and Detecting Traffic Intensity through IR sensors -- Performance Evaluation of Various Data Mining Algorithms on Road Traffic Accident Dataset -- Classification of Blood Cancer and form associated Gene networks using Gene Expression Profiles -- Stock Market Decision Making Model based on spline approximation using minimax criterion. |
Sommario/riassunto: | The book gathers papers addressing state-of-the-art research in all areas of Information and Communication Technologies and their applications in intelligent computing, cloud storage, data mining and software analysis. It presents the outcomes of the third International Conference on Information and Communication Technology for Intelligent Systems, which was held on April 6–7, 2018, in Ahmedabad, India. Divided into two volumes, the book discusses the fundamentals of various data analytics and algorithms, making it a valuable resource for researchers’ future studies. . |
Titolo autorizzato: | Information and Communication Technology for Intelligent Systems |
ISBN: | 981-13-1742-9 |
Formato: | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione: | Inglese |
Record Nr.: | 9910484595203321 |
Lo trovi qui: | Univ. Federico II |
Opac: | Controlla la disponibilità qui |