: Makale ve Bildiriler

Deep reinforcement learning-based control of a 1-DOF helicopter: a comparative analysis of classical and modern methods

A novel approach to maxImum weIghted traffIc flow method for effectIve sIgnal control

AdvancIng Remote SensIng wIth Few-Shot LearnIng: A ComprehensIve RevIew of Methods, Challenges, and Future DIrectIons

Reinforcement Learning Based Traffic Signal Control: A Performance Comparison Under Different Traffic Scenarios

Autonomous Human Tracking Using Vision-LiDAR Fusion with Model Predictive Control-Based Trajectory Following

Self-Recovery Algorithm for Autonomous Mobile Robots in Industrial Environments

RobustPoIntNet++: EnhancIng PoIntNet++ wIth NoIse-FIlterIng and Learned AugmentatIon for Sparse LIDAR Data

A UnIfIed Monocular VIsIon-Based DrIvIng Model for Autonomous VehIcles WIth MultI-Task CapabIlItIes

Improved Real Tıme Object Detectıon In Autonomous Systems Usıng Data Augmentatıon Methods

Comparıson of the Analysıs Methods Applıed ın Calculatıng the Thrust Force of the Thrusters Used ın Unmanned Underwater Vehıcles

Investıgatıon of the Free Vıbratıon Characterıstıc of a Propeller Planned for Use ın a Thruster ın an Unmanned Underwater Vehıcle

Image Processıng based Task Allocatıon for Autonomous Multı Rotor Unmanned Aerıal Vehıcles

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