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Can I read Computational Intelligence in Cancer Diagnosis : Progress and Challenges on EtoBox?

Computational Intelligence in Cancer Diagnosis : Progress and Challenges by Janmenjoy Nayak; Danilo Pelusi; Bighnaraj Naik; Manohar Mishra; Khan Muhammad; David Al-Dabass is a nonfiction available to read on EtoBox.

What is Computational Intelligence in Cancer Diagnosis : Progress and Challenges about?

Computational Intelligence in Cancer Diagnosis: Progress and Challenges provides insights into the current strength and weaknesses of different applications and research findings on computational intelligence in cancer research. The book improves the exchange of ideas and coherence among various computational intelligence methods and enhances the relevance and exploitation of application areas for both experienced and novice end-users. Topics discussed include neural networks, fuzzy logic, connectionist systems, genetic algorithms, evolutionary computation, cellular automata, self-organizing systems, soft computing, fuzzy systems, and hybrid intelligent systems. The book's chapters are written by international experts from both cancer research, oncology and computational sides to cover different aspects and make it comprehensible for readers with no background on informatics. Contains updated information about advanced computational intelligence, spanning the areas of neural networks, fuzzy logic, connectionist systems, genetic algorithms, evolutionary computation, cellular automata, self-organizing systems, soft computing, fuzzy systems, and hybrid intelligent systems in diagnosin

Who reads Computational Intelligence in Cancer Diagnosis : Progress and Challenges?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Janmenjoy Nayak; Danilo Pelusi; Bighnaraj Naik; Manohar Mishra; Khan Muhammad; David Al-Dabass
Publisher
ELSEVIER ACADEMIC PRESS
Published
2023
Language
EN
ISBN
9780323903530
Category
nonfiction
Subjects
Science, Biology, Stem

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