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Autore: |
Pandit Manjaree
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Titolo: |
Artificial Intelligence and Sustainable Computing : Proceedings of ICSISCET 2022 / / edited by Manjaree Pandit, M. K. Gaur, Sandeep Kumar
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Pubblicazione: | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
Edizione: | 1st ed. 2023. |
Descrizione fisica: | 1 online resource (737 pages) |
Disciplina: | 006.3 |
Soggetto topico: | Computational intelligence |
Embedded computer systems | |
Internet of things | |
Machine learning | |
Computational Intelligence | |
Embedded Systems | |
Internet of Things | |
Machine Learning | |
Altri autori: |
GaurM. K
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Nota di contenuto: | Features Extraction and Analysis of Electro-Myogram Signals using Time, Frequency, and Wavelet Transform Methods -- Lycopersicon Crop Leaf Disease Identification using Deep Learning -- Performance Analysis of Satellite Image Classification Using Deep Learning Neural Network -- Text Visualization of Entire Corpus through Single document Input Tools. |
Sommario/riassunto: | This book presents high-quality research papers presented at 4th International Conference on Sustainable and Innovative Solutions for Current Challenges in Engineering and Technology (ICSISCET 2022) held at Madhav Institute of Technology & Science (MITS), Gwalior, India, from November 19 to 20, 2022. The book extensively covers recent research in artificial intelligence (AI) that knit together nature-inspired algorithms, evolutionary computing, fuzzy systems, computational intelligence, machine learning, deep learning, etc., which is very useful while dealing with real problems due to their model-free structure, learning ability, and flexible approach. These techniques mimic human thinking and decision-making abilities to produce systems that are intelligent, efficient, cost-effective, and fast. The book provides a friendly and informative treatment of the topics which makes this book an ideal reference for both beginners and experienced researchers. |
Titolo autorizzato: | Artificial Intelligence and Sustainable Computing ![]() |
ISBN: | 981-9914-31-0 |
Formato: | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione: | Inglese |
Record Nr.: | 9910746996503321 |
Lo trovi qui: | Univ. Federico II |
Opac: | Controlla la disponibilità qui |