Results 121 to 130 of about 391,078 (263)
This study introduces a data‐driven framework that combines deep reinforcement learning with classical path planning to achieve adaptive microrobot navigation. By training a surrogate neural network to emulate microrobot dynamics, the approach improves learning efficiency, reduces training time, and enables robust real‐time obstacle avoidance in ...
Amar Salehi +3 more
wiley +1 more source
Droplet‐based microfluidics enables precise, high‐throughput microscale reactions but continues to face challenges in scalability, reproducibility, and data complexity. This review examines how artificial intelligence enhances droplet generation, detection, sorting, and adaptive control and discusses emerging opportunities for clinical and industrial ...
Junyan Lai +10 more
wiley +1 more source
Deep Reinforcement Learning Approaches for Sensor Data Collection by a Swarm of UAVs
This article presents four decentralized reinforcement learning algorithms for autonomous data harvesting and investigates how collaboration improves collection efficiency. It also presents strategies to minimize training times by improving model flexibility, enabling algorithms to operate with varying number of agents and sensors.
Thiago de Souza Lamenza +2 more
wiley +1 more source
Associations of childhood trauma with clinical features and inflammatory cytokines in adolescents with first-episode and recurrent major depressive disorder. [PDF]
Zhang X +9 more
europepmc +1 more source
Artificial intelligence (AI) is reshaping autonomous mobile robot navigation beyond classical pipelines. This review analyzes how AI techniques are integrated into core navigation tasks, including path planning and control, localization and mapping, perception, and context‐aware decision‐making. Learning‐based, probabilistic, and soft‐computing methods
Giovanna Guaragnella +5 more
wiley +1 more source
Evaluation of the Electroconvulsive Therapy's Impact on Retinal Structures in First-Episode Psychosis Patients Using Optical Coherence Tomography. [PDF]
Kurhan F +4 more
europepmc +1 more source
Dual‐Scale Transformer Fusion With Meta Learning for Micro Metastasis Detection in Thyroid Cancer
A dual‐scale transformer model enhanced by meta‐learning enables accurate detection of tiny metastatic lesions in thyroid cancer. By combining cellular and tissue‐level features, the method outperforms existing models and shows strong adaptability to rare cases with limited data.
Jingtao Wang +5 more
wiley +1 more source
Abstract Black women face a myriad of challenges that heighten their susceptibility to sexually transmitted infections (STIs), resulting in a disproportionate impact of STIs among this population. Yet, there is a lack of research that explores how women navigate these diagnoses with resilience.
Jaleah D. Rutledge +3 more
wiley +1 more source
The role of neighborhood factors in the cumulative number of episodes of recurrent tuberculosis in Cape Town. [PDF]
Dearden E +7 more
europepmc +1 more source

