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Publications (28)
- VMD-TFINet: A Temporal Feature-Aware Transformer Network for Stock Price Forecasting Save
- Energy-Aware Detection of Black-Hole Attacks in VANETs Using Deep Learning Save
- Volatility-resilient cryptocurrency forecasting using deep temporal models and metaheuristic optimization Save
- Advancing predictive analytics in cryptocurrencies: deep learning models for projecting Ripple (XRP) prices using technical indicator Save
- A Secure and Energy-Efficient Framework for Data Collection and Threat Detection in VANETs Save
- Fast and Efficient Brain Tumor Segmentation in MRI Images Using a Compact U-Net Model Save
- A novel framework for cryptocurrency price forecasting: integrating dual attention mechanisms, genetic algorithm feature selection, and Hybrid Adam-PSO optimization Save
- A Hybrid Machine Learning Approach for Real-Time Threat Classification in VANET-Based Transportation Systems Save
- A Bayesian Approach to Estimating Extinction Risk in Critically Endangered Amphibians Save
- Innovations in Battery Design for Improved Cycle Durability and Flexibility in Automotive Applications Save