TRACK 1: DATA COMPUTING
Chapter 1. OntoIntAIC: An Approach for Ontology Integration Using Artificially Intelligent Cloud
Chapter 2. Identifying the Most Frequently Used Words in Spam Mail Using Random Forest Classifier and Mutual Information Content
Chapter 3. Comparative Analysis of Intelligent Learning Techniques for Diagnosis of Liver Tumor from CT Images
Chapter 4. A New Model for COVID-19 Detection Using Chest X-Ray Images with Transfer Learning
Chapter 5. Violence detection in videos using Transfer Learning and LSTM
Chapter 6. Kernel functions for clustering of incomplete data: A comparative study
Chapter 7. Neuroimaging (Anatomical MRI) based classification of Alzheimers diseases and Mild Cognitive Impairment using Convolution Neural Network
Chapter 8. Design and Implementation of Stop Words Removal Method for Punjabi Language Using Finite Automata
Chapter 9. Arrhythmia Fibrillation for Cardiac Disease Classification using Oversampling Method for Multiple Classifiers based on Machine Learning
Chapter 10. Unsupervised modeling of workloads as an enabler for supervised ensemble-based prediction of resource demands on a cloud
Chapter 11. A Technique for Find Out Low Frequency Rare Words in Medical Cancer Text Document Classification
Chapter 12. Image Based Spammer Analysis using Suitable Features Selection by Genetic Algorithm in OSNs
Chapter 13. An Improved Firefly Algorithm Based Cluster Analysis Technique
Chapter 14. Stock Market Analysis of Beauty Industry during COVID-19
Chapter 15. An OWA based feature extraction and ranking for performance evaluation of the players in cricket.