Dr Muhammed Cavus

Research Fellow

Please visit the Pure Research Information Portal for further information
Advancing Power Systems with Renewable Energy and Intelligent Technologies: A Comprehensive Review on Grid Transformation and Integration, Cavus, M. 15 Mar 2025, In: Electronics
Deep charge-fusion model: Advanced hybrid modelling for predicting electric vehicle charging patterns with socio-demographic considerations, Cavus, M., Ayan, H., Bell, M., Oyebamiji, O., Dissanayake, D. 7 Mar 2025, In: International Journal of Transportation Science and Technology
Deep-Fuzzy Logic Control for Optimal Energy Management: A Predictive and Adaptive Framework for Grid-Connected Microgrids, Cavus, M., Dissanayake, D., Bell, M. 19 Feb 2025, In: Energies
Next Generation of Electric Vehicles: AI-Driven Approaches for Predictive Maintenance and Battery Management, Cavus, M., Dissanayake, D., Bell, M. 21 Feb 2025, In: Energies
Sensor-Based Automatic Recognition of Construction Worker Activities Using Deep Learning Network, Tezcan, Ö., Akcay, C., Sari, M., Cavus, M. 26 Jun 2025, In: Sensors
Spatio-Temporal Attention-Based Deep Learning for Smart Grid Demand Prediction, Cavus, M., Allahham, A. 20 Jun 2025, In: Electronics
Transparent and bias-resilient AI framework for recidivism prediction using deep learning and clustering techniques in criminal justice, Cavus, M., Benli, M., Altuntas, U., Sari, M., Ayan, H., Ugurluoglu, Y. 1 May 2025, In: Applied Soft Computing