Naveen Kumar Thawait

Naveen Kumar Thawait
Dr. C. V. Raman University · Department of Information Technology

Master of Science
Currently works on Machine Learning algorithms & computational science for future innovations.

About

4
Publications
4,712
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1
Citation
Introduction
Current focuse:- Developing and optimizing machine learning algorithms to advance science and technology. computational science projects, leveraging AI and IoT to enhance cybersecurity and computer networking to improve data science methodologies, making complex data more accessible and actionable by integrating these technologies.
Education
January 2021 - November 2023
Dr. C. V. Raman University
Field of study
  • Computer science

Publications

Publications (4)
Article
Full-text available
This paper explores the development of interactive 3D human models that integrate conventional Artificial Intelligence (AI) techniques to improve user experience. With the growing demand for more immersive and responsive digital interactions, particularly in gaming, virtual reality, and augmented reality, it's crucial to employ AI in ways that make...
Article
Full-text available
The study "Machine Learning Techniques for Predicting Conductive Properties of New Materials" explores the application of advanced machine learning (ML) algorithms to predict the conductive properties of novel materials, accelerating the discovery and development process in materials science. Traditional methods for assessing conductive properties...
Article
Full-text available
Breast cancer remains a significant global health concern, necessitating accurate and efficient diagnostic methods for timely intervention and treatment. This study investigates the efficacy of various machine learning algorithms in diagnosing breast cancer based on clinical data. Leveraging a comprehensive dataset comprising demographic informatio...
Article
Full-text available
Machine learning (ML) is transforming cybersecurity by enabling advanced detection, prevention and response mechanisms. This paper provides a comprehensive review of ML's role in cybersecurity, examining both theoretical frameworks and practical implementations. It outlines the emerging threats targeting ML models, such as adversarial attacks, data...

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