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Biographie et livres de KC Santosh

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Prof. KC Santosh is the Chair of the Department of Computer Science at the University of South Dakota (USD). Before joining USD, Prof. Santoshworked as a research fellow at the U.S. National Library of Medicine (NLM), National Institutes of Health (NIH). He was a postdoctoral research scientist at the LORIA research centre (with industrial partner, ITESOFT (France)). He has demonstrated expertise in artificial intelligence, machine learning, pattern recognition, computer vision, image processing
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Téléchargez le livre :  Advances in Artificial-Business Analytics and Quantum Machine Learning
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Advances in Artificial-Business Analytics and Quantum Machine Learning

Poonam Nandal , Hari Mohan Pandey , Kc Santosh , Sandeep Kumar Sood


Springer

2024-10-18

PDF, ePub

The book presents select proceedings of the 3rd International Conference on “Artificial-Business Analytics, Quantum and Machine Learning: Trends, Perspectives, and Prospects” (Com-IT-Con 2023) held at the Manav Rachna University in July 2023. It...

137,14

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Télécharger le livre :  Advances in Artificial-Business Analytics and Quantum Machine Learning
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Advances in Artificial-Business Analytics and Quantum Machine Learning


Hari Mohan Pandey , Kc Santosh , Sandeep Kumar Sood , Charu Virmani


This book presents select proceedings of the 3rd International Conference on “Artificial-Business Analytics, Quantum and Machine Learning: Trends, Perspectives, and Prospects” (Com-IT-Con 2023) held at the Manav Rachna University in July 2023. It covers topics such as...

Parution : 2024-09-18
Format(s) : PDF, ePub
Éditeur : Springer
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168,79
Télécharger le livre :  Active Learning to Minimize the Possible Risk of Future Epidemics
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Active Learning to Minimize the Possible Risk of Future Epidemics


Suprim Nakarmi , Kc Santosh


Future epidemics are inevitable, and it takes months and even years to collect fully annotated data. The sheer magnitude of data required for machine learning algorithms, spanning both shallow and deep structures, raises a fundamental question: how big data is big...

Parution : 2023-11-22
Format(s) : PDF, ePub
Éditeur : Springer
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47,46
Télécharger le livre :  AI, Ethical Issues and Explainability—Applied Biometrics
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AI, Ethical Issues and Explainability—Applied Biometrics


Kc Santosh , Casey Wall


AI has contributed a lot and biometrics is no exception. To makeAI solutions commercialized/fully functional, one requires trustworthy and explainableAI (XAI) solutions while respecting ethical issues. Within the scope of biometrics, the book aims at both revisiting...

Parution : 2022-08-24
Format(s) : PDF, ePub
Éditeur : Springer
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52,74
Télécharger le livre :  Artificial Intelligence and Machine Learning in Public Healthcare
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Artificial Intelligence and Machine Learning in Public Healthcare


Loveleen Gaur , Kc Santosh


This book discusses and evaluates AI and machine learning (ML) algorithms in dealing with challenges that are primarily related to public health. It also helps find ways in which we can measure possible consequences and societal impacts by taking the following factors...

Parution : 2022-01-01
Format(s) : PDF, ePub
Éditeur : Springer
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73,84

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