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Intelligent Data Engineering and Analytics [[electronic resource] ] : Frontiers in Intelligent Computing: Theory and Applications (FICTA 2020), Volume 2 / / edited by Suresh Chandra Satapathy, Yu-Dong Zhang, Vikrant Bhateja, Ritanjali Majhi
Intelligent Data Engineering and Analytics [[electronic resource] ] : Frontiers in Intelligent Computing: Theory and Applications (FICTA 2020), Volume 2 / / edited by Suresh Chandra Satapathy, Yu-Dong Zhang, Vikrant Bhateja, Ritanjali Majhi
Edizione [1st ed. 2021.]
Pubbl/distr/stampa Singapore : , : Springer Singapore : , : Imprint : Springer, , 2021
Descrizione fisica 1 online resource (740 pages)
Disciplina 006.3
Collana Advances in Intelligent Systems and Computing
Soggetto topico Computational intelligence
Electrical engineering
Data mining
Big data
Computational Intelligence
Communications Engineering, Networks
Data Mining and Knowledge Discovery
Big Data
ISBN 981-15-5679-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Classification of dry/wet snow using Sentinel-2 high spatial resolution optical data -- Potential of Robust Face Recognition from real-time CCTV video stream for Biometric Attendance using Convolutional Neural Network -- ATM Theft Investigation using Convolutional Neural Network -- "Classification and Prediction of Rice Crop Diseases using CNN & PNN" -- SAGRU : A Stacked Autoencoder based Gated Recurrent Unit Approach to Intrusion Detection -- COMPARISON OF KNN AND SVM ALGORITHMS TO DETECT CLINICAL MASTITIS IN COWS USING INTERNET OF ANIMAL HEALTH THINGS -- Two-way face scrutinizing system for elimination of proxy attendances using deep learning -- Ontology driven Sentiment Analysis in Indian Healthcare Sector -- Segmentation of Nuclei in Microscopy Images across Varied Experimental Systems -- Transitional and parallel approach of PSO and SGO for solving optimization problems.
Record Nr. UNINA-9910483937303321
Singapore : , : Springer Singapore : , : Imprint : Springer, , 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Intelligent Data Engineering and Analytics : Frontiers in Intelligent Computing: Theory and Applications (FICTA 2020), Volume 2 / / edited by Suresh Chandra Satapathy, Yu-Dong Zhang, Vikrant Bhateja, Ritanjali Majhi
Intelligent Data Engineering and Analytics : Frontiers in Intelligent Computing: Theory and Applications (FICTA 2020), Volume 2 / / edited by Suresh Chandra Satapathy, Yu-Dong Zhang, Vikrant Bhateja, Ritanjali Majhi
Edizione [1st ed. 2021.]
Pubbl/distr/stampa Springer Singapore, 2021
Descrizione fisica 1 online resource (740 pages)
Disciplina 006.3
Collana Advances in Intelligent Systems and Computing
Soggetto topico Computational intelligence
Electrical engineering
Data mining
Big data
Computational Intelligence
Communications Engineering, Networks
Data Mining and Knowledge Discovery
Big Data
ISBN 981-15-5679-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Classification of dry/wet snow using Sentinel-2 high spatial resolution optical data -- Potential of Robust Face Recognition from real-time CCTV video stream for Biometric Attendance using Convolutional Neural Network -- ATM Theft Investigation using Convolutional Neural Network -- "Classification and Prediction of Rice Crop Diseases using CNN & PNN" -- SAGRU : A Stacked Autoencoder based Gated Recurrent Unit Approach to Intrusion Detection -- COMPARISON OF KNN AND SVM ALGORITHMS TO DETECT CLINICAL MASTITIS IN COWS USING INTERNET OF ANIMAL HEALTH THINGS -- Two-way face scrutinizing system for elimination of proxy attendances using deep learning -- Ontology driven Sentiment Analysis in Indian Healthcare Sector -- Segmentation of Nuclei in Microscopy Images across Varied Experimental Systems -- Transitional and parallel approach of PSO and SGO for solving optimization problems.
Record Nr. UNINA-9910863124203321
Springer Singapore, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui