Advancing Breast Cancer Detection Through Thermal Imaging and Machine Learning: A Comprehensive Review of Techniques and Applications

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International Journal of Innovations in Engineering and Science

ISSN : 2456-3463.

DOI:10.46335

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Advancing Breast Cancer Detection Through Thermal Imaging and Machine Learning: A Comprehensive Review of Techniques and Applications

Advancing Breast Cancer Detection Through Thermal Imaging and Machine Learning: A Comprehensive Review of Techniques and Applications Authors : Vishakha Dubey, Dr. Shanti Rathore, Dr. Rahul Gedam DOI : 10.46335/IJIES.2025.10.7.17 Abstract – Breast thermography proves to be an evolving diagnostic support method that uses infrared imaging for vascular and metabolic change detection in breast cancer […]

Effective Ensemble Deep Learning Approach to Coronary Heart Disease Prediction

Effective Ensemble Deep Learning Approach to Coronary Heart Disease Prediction Authors : Deepak Yashwantrao Bhadane, Prof. Dr. Indrabhan S. Borse, Prof. Dr. Balveer Singh DOI :10.46335/IJIES.2025.10.6.8 Abstract – Cardiovascular disease is an important global challenge, and timely identification along with effective treatment relies on the accurate diagnosis of the condition. This work seeks to increase […]

Deep Reinforcement Learning for Face Anti-Spoofing

Deep Reinforcement Learning for Face Anti-Spoofing Authors : Saidur Rahman, Sahil Kumar, Dr M.Sujitha, P.Sudarsan DOI : 10.46335/IJIES.2025.10.8.18 Abstract – Spoofing detection has become a crucial and essential application for verifying security breaches. The Face Anti-Spoofing issue has made significant progress in recent years. This research addresses the problem of detecting spoofing images from unknown […]

Literature Survey on Intelligent Rainfall Prediction Systems Using Advanced Machine Learning Algorithms

Literature Survey on Intelligent Rainfall Prediction Systems Using Advanced Machine Learning Algorithms Authors : Dr.M.V.Bramhe, Rushab Katekhaye, Manthan Raut, Sharwari Sonulkar,Yash Dhande, Mrs. Sangita Rajankar DOI : 10.46335/IJIES.2025.10.5.3 Abstract – Rainfall prediction is crucial to efficient water resource management, agriculture, and catastrophe avoidance. Statistical models have gained popularity, yet machine learning approaches are progressively boosting […]