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 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
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 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|