退潮
发表于 2025-3-26 23:13:20
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FEAS
发表于 2025-3-27 04:01:58
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AUGER
发表于 2025-3-27 07:36:41
Harpreet Kaur Channi,Prateek Shrivastava,Chiranji Lal Chowdharytreatment of state-of-the-art results on support vector machEvery mathematical discipline goes through three periods of development: the naive, the formal, and the critical. David Hilbert The goal of this book is to explain the principles that made support vector machines (SVMs) a successful modelin
judicial
发表于 2025-3-27 09:34:45
Sumitra Mallick,Mrutyunjaya Pandais to explain the principles that made support vector machines (SVMs) a successful modeling and prediction tool for a variety of applications. We try to achieve this by presenting the basic ideas of SVMs together with the latest developments and current research questions in a uni?ed style. In a nut
Aggrandize
发表于 2025-3-27 16:34:05
1860-949X .Promotes research-based chapters to enhance research skills.This edited book provides information on emerging fields of next-generation healthcare informatics with a special emphasis on emerging developments and applications of artificial intelligence, deep learning techniques, computational intell
zonules
发表于 2025-3-27 18:36:00
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领袖气质
发表于 2025-3-28 01:01:11
Contemporary Technologies to Combat Pandemics and Epidemics,g the role played by technology in maintaining the economy during past pandemics and predicting how any future pandemic can be handled by eliciting previous mistakes and by improving current technology aided by artificial intelligence.
Antioxidant
发表于 2025-3-28 03:24:15
Application of Genetic Algorithms in Healthcare: A Review,ss screening, diagnosis, treatment planning, pharmacovigilance, prognosis, and healthcare management are discussed in this study, allowing clinicians to visualise how they might use this metaheuristic method in their practice.
Abutment
发表于 2025-3-28 10:19:07
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Reclaim
发表于 2025-3-28 14:25:59
Deep Learning Empowered Fight Against COVID-19: A Survey,niques for analyzing chest X-ray images for efficient and reliable COVID-19 screening are deep learning/machine learning. In this study, we cover the essential deep learning empowered approaches involved in COVID-19 supplements.