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Titolo: | Progress in Advanced Computing and Intelligent Engineering : Proceedings of ICACIE 2019, Volume 2 / / edited by Chhabi Rani Panigrahi, Bibudhendu Pati, Prasant Mohapatra, Rajkumar Buyya, Kuan-Ching Li |
Pubblicazione: | Springer Singapore, 2021 |
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2021 | |
Edizione: | 1st ed. 2021. |
Descrizione fisica: | 1 online resource (XVI, 504 p. 279 illus., 163 illus. in color.) |
Disciplina: | 621.3822 |
Soggetto topico: | Signal processing |
Computational intelligence | |
Telecommunication | |
Signal, Speech and Image Processing | |
Computational Intelligence | |
Communications Engineering, Networks | |
Persona (resp. second.): | Rani PanigrahiChhabi |
Nota di contenuto: | Prediction of Depression using EEG: A Comparative Study -- Prediction of Stroke Risk Factors for Better Pre-emptive Healthcare: A Public Survey Based Approach -- Language Identification-A Supportive Tool for Multilingual ASR in Indian Perspective -- Ensemble Methods to Predict the Locality Scope of Indian and Hungarian Students for the Real Time: Preliminary results. |
Sommario/riassunto: | This book features high-quality research papers presented at the 4th International Conference on Advanced Computing and Intelligent Engineering (ICACIE 2019), Department of Computer Science, Rama Devi Women’s University, Bhubaneswar, Odisha, India. It includes sections describing technical advances and contemporary research in the fields of advanced computing and intelligent engineering, which are based on the presented articles. Intended for postgraduate students and researchers working in the discipline of computer science and engineering, the book also appeals to researchers in the domain of electronics as it covers hardware technologies and future communication technologies. |
Titolo autorizzato: | Progress in Advanced Computing and Intelligent Engineering |
ISBN: | 981-15-6353-5 |
Formato: | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione: | Inglese |
Record Nr.: | 9910863116403321 |
Lo trovi qui: | Univ. Federico II |
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