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Cybernetics, Cognition and Machine Learning Applications : Proceedings of ICCCMLA 2019 / / edited by Vinit Kumar Gunjan, P. N. Suganthan, Jan Haase, Amit Kumar, Balasubramanian Raman



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Titolo: Cybernetics, Cognition and Machine Learning Applications : Proceedings of ICCCMLA 2019 / / edited by Vinit Kumar Gunjan, P. N. Suganthan, Jan Haase, Amit Kumar, Balasubramanian Raman Visualizza cluster
Pubblicazione: Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020
Edizione: 1st ed. 2020.
Descrizione fisica: 1 online resource (xii, 325 pages) : illustrations
Disciplina: 006.3
Soggetto topico: Computational intelligence
Machine learning
Neural networks (Computer science) 
Engineering—Data processing
Computational Intelligence
Machine Learning
Mathematical Models of Cognitive Processes and Neural Networks
Data Engineering
Persona (resp. second.): GunjanVinit Kumar
SuganthanP. N
HaaseJan
KumarAmit
RamanBalasubramanian
Nota di contenuto: A Novel Design and Implementation of Pipeline Inspection System -- An in-depth Survey on Massive Open Online Course Outcome Prediction -- Prediction of Cardiovascular diseases using HUI Miner -- Selection of Connecting Phrases in Weather Forecast -- Analysis of Bayesian Regularization and LevenbergMarqaudt training algorithms of the Feed -- Data Mining On Cloud Based Big Data.
Sommario/riassunto: This book provides a collection of selected papers presented at the International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA 2019), which was held in Goa, India, on 16–17 August 2019. It covers the latest research trends and advances in the areas of data science, artificial intelligence, neural networks, cognitive science and machine learning applications, cyber-physical systems, and cybernetics.
Titolo autorizzato: Cybernetics, cognition and machine learning applications  Visualizza cluster
ISBN: 981-15-1632-4
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910484683103321
Lo trovi qui: Univ. Federico II
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Serie: Algorithms for Intelligent Systems, . 2524-7565