Publications
Preprint · SSRN Electronic Journal · January 1, 2026
Energy-Aware Multi-Objective Reinforcement Learning for Unmanned Aerial Vehicle Path Planning in Dynamic Environments
hatice karaca, Adem Tekerek
Reinforcement Learning in RoboticsRobotic Path Planning AlgorithmsAerospace and Aviation Technologymulti-objective reinforcement learningdynamic obstacle avoidancepreference vectors
More by Dr. Adem Tekerek
- Limits of Curtailed Wind Utilization by Ferry-Borne Tourist Electric Vehicles: A Milos Island Case StudyProcesses · 2026
- An Explainable Hybrid Deep Learning Framework Combining Fine-Tuned Convolutional Neural Network Ensembles for Dermoscopic Images of Skin LesionsDermatology Practical & Conceptual · 2026
- Detection of Alzheimer's Disease Using Different Machine Learning Models and Performance Comparison of the ModelsInterdisciplinary Conference on Electrics and Computer · 2026
- Raw URL-Based Phishing Detection Using Domain-Separate Evaluation: A Comparison of CharCNN, Transformer, BiGRU, and LexicalMLPInterdisciplinary Conference on Electrics and Computer · 2026