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Chapter and Conference Paper
Web Recommendation by Exploiting User Profile and Collaborative Filtering
Collaborative filtering is a methodology which thinks about the profile of the active client as well as the neighborhood of the active client with comparable inclinations, while suggesting the things. Collabor...
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Chapter and Conference Paper
Quantum Layer-Inspired Deep Learning for Mechanical Parts Classification
Quantum level matter physics is a macroscopic level of study for particle behavior. Simultaneously, deep learning algorithms help in training the machines to behave as the human brain do. Presently, deep learn...
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Chapter and Conference Paper
Plummeting Makespan by Proficient Workflow Scheduling in Cloud
Cloud Computing is rapidly gaining popularity because it provides a platform for deploying a variety of science applications and minimize the overhead and expense of procuring infrastructure services. The clou...
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Chapter and Conference Paper
Transferring Pre-trained Deep CNNs on Plantar Thermograms for Diabetic Foot Disease
Machine learning provides a plethora of approaches for tackling categorization problems, i.e., determining whether or not a data item belongs to a particular class. When the objective is to accurately classify...
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Chapter and Conference Paper
Leveraging Machine Learning for Comprehensive Analysis of Maternal Health: Predicting Health Risks and Improving Antenatal Care
The health of the mother is crucial to the well-being of the baby throughout pregnancy. Early treatments and individualized care may be more effective when maternal health hazards are properly classified. In t...