Misinformation Mitigation

Author Name

International Journal of Innovations in Engineering and Science

ISSN : 2456-3463.

DOI:10.46335

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Misinformation Mitigation

Misinformation Mitigation Authors : Ahilya Bhute , Aditya Kharde. Dewashish Andankar, Kunal Nikhade, Prof. Yogita Nikhare DOI :10.46335/IJIES.2024.9.5.1 Abstract- Strategies and Tools for Addressing Online Disinformation Abstract: The proliferation of misinformation on the internet poses a significant challenge to society, affecting various domains including public health, politics, and social cohesion. This project aims to develop effective […]

Harnessing Machine Learning and Artificial Intelligence for Electrocardiogram Analysis: A Comprehensive Review

Authors : Pulkeshini Vishal Taksande, Abhinav Muley DOI : 10.46335/IJIES.2024.9.7.3 Article Link Abstract – The main focus of this paper is to review and analyze the various techniques used to analyze Electrocardiogram, ECG using different Machine Learning Techniques. Electrocardiogram is pivotal in the diagnosis and management of cardiovascular diseases, which is the leading cause of […]

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 […]