Artificial Intelligence Technologies for Computational Biology

Artificial Intelligence Technologies for Computational Biology

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

Taylor & Francis Ltd

10/2024

324

Mole

9781032160023

15 a 20 dias

Descrição não disponível.
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.
Computational Biology;Artificial Intelligence;Machine Learning;Biomedical Informatics;Data Mining;Automatic Image Interpretation;Ml Model;Dl Model;Corona Virus;BMI;Feature Selection;Softmax Classifier;RF;Unsupervised Machine Learning;Convolutional Layers;DCNN;CNN Training;PSO;BFO Algorithm;Clinical Informatics;Ml Algorithm;Preprocessing Pipelines;BFO;Bacterial Foraging Algorithm;DR Grade;Histopathology Images;Multi Objective;Bacterial Foraging;Quadratic Weighted Kappa;Methylated Peptides;DNA Methylation