Dr Muhammed Cavus

Research Fellow

Department: Mathematics, Physics and Electrical Engineering

Email Muhammed

Key Publications

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
Forecasting Electric Vehicle Charging Demand in Smart Cities Using Hybrid Deep Learning of Regional Spatial Behaviours, Cavus, M., Ayan, H., Dissanayake, D., Sharma, A., Deb, S., Bell, M. 29 Jun 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