Artificial Intelligence Technologies for Computational Biology

ISBN-13: 9781032160009 / Angielski / Twarda / 2022 / 368 str.

Opis

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.

Spis treści

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.