Shruti (Hrsg.) Jain
Soft Computing for Intelligent Systems
Proceedings of ICSCIS 2020
Ebook (PDF Format)
This book presents high-quality research papers presented at the International Conference on Soft Computing for Intelligent Systems (SCIS 2020), held during 18-20 December 2020 at University Institute of Engineering and Technology, Kurukshetra University, Kurukshetra, Haryana, India. The book encompasses all branches of artificial intelligence, computational sciences and machine learning which is based on computation at some level such as AI-based Internet of things, sensor networks, robotics, intelligent diabetic retinopathy, intelligent cancer genes analysis using computer vision, evolutionary algorithms, fuzzy systems, medical automatic id…
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Beschreibung
This book presents high-quality research papers presented at the International Conference on Soft Computing for Intelligent Systems (SCIS 2020), held during 18-20 December 2020 at University Institute of Engineering and Technology, Kurukshetra University, Kurukshetra, Haryana, India. The book encompasses all branches of artificial intelligence, computational sciences and machine learning which is based on computation at some level such as AI-based Internet of things, sensor networks, robotics, intelligent diabetic retinopathy, intelligent cancer genes analysis using computer vision, evolutionary algorithms, fuzzy systems, medical automatic identification intelligence system and applications in agriculture, health care, smart grid and instrumentation systems. The book is helpful for educators, researchers and developers working in the area of recent advances and upcoming technologies utilizing computational sciences in signal processing, imaging, computing, instrumentation, artificial intelligence and their applications.
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Produktdetails
Weitere Autoren: Marriwala, Nikhil (Hrsg.) / Mathapathi, Shivakumar (Hrsg.) / Tripathi, C. C (Hrsg.)
- ISBN: 978-981-1610-48-6
- EAN: 9789811610486
- Produktnummer: 36792802
- Verlag: Springer
- Sprache: Englisch
- Erscheinungsjahr: 2021
- Plattform: PDF
- Masse: 31'535 KB
Über den Autor
133541903
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