Publications
Publication History
Articles
Renewable Energy Source Ranking and Analysis Using Fuzzy MCDM, ML, and xAI Techniques
Abstract: This research proposes a hybrid multi-criteria decision-making (MCDM) framework using Fuzzy TOPSIS and Fuzzy ELECTRE to evaluate renewable energy alternatives. XGBoost was found to be the most predictive model, with explainability provided by SHAP and DALEX.
Combining Chaotic Transformations And Machine Learning Algorithms: Evaluating Explainable Artificial Intelligence Model Performance
Abstract: This study investigates chaotic transformations that affect the performance and interpretability of AI models in complex systems. Results showed that Rossler chaotic system and CatBoost algorithm yielded 99% accuracy.
Conference Papers
Reinforcement Learning for Exoplanet Detection: An A2C Approach on Photometric Light Curves
Abstract: This study introduces a reinforcement learning framework for exoplanet detection, utilizing the Advantage Actor-Critic (A2C) algorithm to identify planetary transits in light curve data.
A Comparative Study of Classical and Quantum Neural Approaches for Inverse Kinematics of Industrial Robots
Abstract: This research proposes a hybrid framework combining classical ANNs and Quantum Neural Networks (QNN) optimized by Genetic Algorithms for the inverse kinematics of industrial robots, achieving a 17.2% reduction in Mean Squared Error.
Enhancing Robotic Efficiency: A Neural Network Approach to Inverse Kinematics in Industrial Applications
Abstract: Examined the potential of artificial neural networks (ANN) for calculating inverse kinematics of SCARA robot arms, achieving an R2 score of 0.93.
Analysis of Trajectory Planning Parameters in Industrial Robot Arms with Explainable Artificial Intelligence
Abstract: This study used genetic algorithms for hyperparameter optimization of RandomForest models, with trajectory parameters explained via SHAP.
Torque Control with PID Controller on Polar Robot Arm: Increasing Precision and Efficiency
Abstract: Implemented a PID-based torque control system for a 2-DOF polar robot arm, ensuring high precision and faster reference tracking.
Fuzzy Logic in Industrial Robot Arm Control: Application to Object Grasping
Abstract: Discusses the effective use of fuzzy logic control to adapt a robotic arm to variables like distance and angle during object grasping.