Artificial Intelligence Technologies for Computational Biology (eBook, PDF)

Redaktion: Rout, Ranjeet Kumar; Sangal, Amrit Lal; Sheikh, Sabha; Umer, Saiyed

• Format: PDF

Produktbeschreibung

This text emphasizes the importance of artificial intelligence techniques in the field of biological computation. It also discusses fundamental principles that can be applied beyond bio-inspired computing.

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 344
• Erscheinungstermin: 10. November 2022
• Englisch
• ISBN-13: 9781000778687
• Artikelnr.: 65483688

Autorenporträt

Ranjeet Kumar Rout is currently serving as an assistant professor, department of computer science and engineering, National Institute of Technology Srinagar, India. Prior to working at NIT Srinagar, Dr. Ranjeet had research and teaching experience from Amity University Noida, National Institute Technology Jalandhar, and Indian Statistical Institute (ISI) Kolkata, India. His research interests include machine learning, and deep learning, visual cryptography, and computational biology. He has published papers in peer-reviewed international and scientific journals in the field of non-linear Boolean functions and computational biology. Saiyed Umer is presently working as an assistant professor in, department of computer science and engineering, Aliah University, Kolkata, India. He was the Research Personnel at Indian Statistical Institute (ISI), Kolkata, India, from November 2012 to April 2017. His research interests include biometric, computer vision, machine learning, video analysis, and deep learning. He has published research papers in journals of national and international repute. Sabha Sheikh is currently working as an assistant professor in, department of computer science and engineering, National Institute of Technology Srinagar, India. She has published papers in conferences and journals. Her research interests include machine learning, deep learning, image processing, and computational biology. A. L. Sangal is presently working as a professor (HAG) & Head, department of computer science and engineering, Dr. B R Ambedkar National Institute of Technology Jalandhar, Punjab, India. He has published more than 36 papers in national and international journals of repute, several papers in international conferences and two book chapters. His research interests include scientific computing, Computing Networks, information security, and cloud computing.

Inhaltsangabe

1. Graph Representation Learning for Protein Classification 2. Prediction
of Methylation Sites in Protein Sequences 3. A Taxonomy of e-Healthcare
Techniques and Solutions 4. Classification of Lung Diseases Using Machine
Learning Techniques 5. Multi-Objective Bacterial Foraging Optimization 6.
Artificial Intelligence for Biomedical Informatics 7. A Novel Approach for
Feature Selection Using Artificial Neural Networks and Particle Swarm
Optimization. 8. DL-based Diabetic Retinopathy Stage Classification from
Retinal Fundus Images 9. Cancer Diagnosis from Histopathology Images Using
Deep Learning: A Review 10. Skin Lesion Classification by Using Deep
Tree-CNN
Prakash Choudhary and Sameer Mansuri 11. Diagnose Covid-19 On Its Early
Stages Using Lung CT Images 12. Impact of Machine Learning Practices on
Biomedical Informatics 13. Recognition of Types of Arrhythmia 14. ML and DL
Algorithms on Multi-Modal Omics Data.