A project that analyzes historical Bitcoin prices to forecast future trends with deep learning and statistical models (LSTM, BiLSTM, ARIMA and Transformer). The Transformer-based approach achieves the highest accuracy, leveraging time-series data for improved financial decision-making.
IEEE Published Research | Brain Tumor Classification using LBP Image Subtraction & KNN
A video anomaly detection system using Markov Random Fields (MRFs) and autoencoders. It extracts frames, segments them using MRFs, and leverages autoencoders for anomaly detection. The system improves detection accuracy and reduces computation time by 60%, making it efficient for real-time surveillance applications.
An image-to-audio encryption framework with AI-enhanced data hiding for secure multimedia sharing. Using adversarial training and reinforcement learning, it ensures protection against unauthorized access while transforming visual data into immersive audio. It enhances security, creativity, and data integrity in multimedia applications.
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