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Titolo: |
Advances in Data-driven Computing and Intelligent Systems : Selected Papers from ADCIS 2022, Volume 2 / / edited by Swagatam Das, Snehanshu Saha, Carlos A. Coello Coello, Jagdish Chand Bansal
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Pubblicazione: | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
Edizione: | 1st ed. 2023. |
Descrizione fisica: | 1 online resource (892 pages) |
Disciplina: | 006.3 |
Soggetto topico: | Telecommunication |
Electronic circuits | |
Cloud Computing | |
Artificial intelligence | |
Signal processing | |
Communications Engineering, Networks | |
Electronic Circuits and Systems | |
Artificial Intelligence | |
Signal, Speech and Image Processing | |
Persona (resp. second.): | DasSwagatam |
Nota di bibliografia: | Includes bibliographical references and index. |
Nota di contenuto: | Scenario Based Neural Network Model for Integrated Lighting Schemes in Residential Buildings -- Electrical Muscle Stimulation Models Identification Based on Hammerstein Structure and Gravitational Search Algorithm -- Experimental analysis of “A novel swarm intelligence optimization approach: sparrow search algorithm” -- Solving FJSP using Multi-agent system with GA -- A Comparative Analysis on Optimal Power Allocation and Pairing of User in Downlink NOMA System. |
Sommario/riassunto: | The volume is a collection of best selected research papers presented at International Conference on Advances in Data-driven Computing and Intelligent Systems (ADCIS 2022) held at BITS Pilani, K K Birla Goa Campus, Goa, India during 23 – 25 September 2022. It includes state-of-the art research work in the cutting-edge technologies in the field of data science and intelligent systems. The book presents data-driven computing; it is a new field of computational analysis which uses provided data to directly produce predictive outcomes. The book will be useful for academicians, research scholars, and industry persons. |
Titolo autorizzato: | Advances in data-driven computing and intelligent systems ![]() |
ISBN: | 981-9909-81-3 |
Formato: | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione: | Inglese |
Record Nr.: | 9910734847803321 |
Lo trovi qui: | Univ. Federico II |
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