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Chapter and Conference Paper
Enhancing Accuracy with Recursive Feature Selection Using Multiple Machine Learning and Deep Learning Techniques on NSL-KDD Dataset
The world has moved toward digital revolution and more and more services are now being available online. This has presented significant challenges in ensuring the availability, integrity, and confidentiality o...
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Chapter and Conference Paper
Recursive Feature Selection and Intrusion Classification in NSL-KDD Dataset Using Multiple Machine Learning Methods
IDS are critical components of modern computer networks, designed to detect and alert administrators of malicious activity. In order to detect network irregularities and keep data secure, it is critical to bui...
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Article
Open AccessImpact of Advocacy, Communication, Social Mobilization and Active Case Finding on TB Notification in Jharkhand, India
Community-level benefits of screening for active tuberculosis (TB) disease remain uncertain. Project Axshya (meaning free of TB) conducted advocacy, communication, social mobilization, and active case finding ...
