Results 161 to 170 of about 241,763 (280)
Deep Q-Learning for Gastrointestinal Disease Detection and Classification. [PDF]
Saba A, Amin J, Ali MU.
europepmc +1 more source
Understanding Operando Water Management in Hydroxide‐Exchange‐Membrane Fuel Cells
Effective water management is vital for high‐performance hydroxide‐exchange‐membrane fuel cells. Using a custom water‐flux station, this study quantifies how membrane thickness, microporous layers, and operating conditions dictate internal water transport.
Catherine M. Weiss +4 more
wiley +1 more source
KRDQN: An Interpretable Prediction Framework for Adverse Drug Reactions via Knowledge-Graph Reinforced Deep Q-Learning. [PDF]
Ni Q +7 more
europepmc +1 more source
Nanozymes (NZs) have emerged as versatile artificial enzymes with tunable catalytic properties driven by atomic coordination, defect engineering, and surface chemistry. This review presents a bio–nano interface framework linking synthesis strategies, structural design, and catalytic behavior within complex biological microenvironments.
Karen Guadalupe Quintero‐Garrido +6 more
wiley +1 more source
Blockchain and federated Q-learning-based secure, fault tolerant, and energy efficient framework for ad hoc networks. [PDF]
Tandon R, Gupta PK, Cheng X.
europepmc +1 more source
Transducers convert physical signals into electrical and optical representations, yet each mechanism is bounded by intrinsic trade‐offs across bandwidth, sensitivity, speed, and energy. This review maps transduction mechanisms across physical scale and frequency, showing how heterogeneous integration and multiphysics co‐design transform isolated ...
Aolei Xu +8 more
wiley +1 more source
Q-learning with temporal memory to navigate turbulence. [PDF]
Rando M +4 more
europepmc +1 more source
This study explores how machine learning models, trained on small experimental datasets obtained via Phase Doppler Anemometry (PDA), can accurately predict droplet size (D32) in ultrasonic spray coating (USSC). By capturing the influence of ink complexity (solvent, polymer, nanoparticles), power, and flow rate, the model enables precise droplet control
Pieter Verding +5 more
wiley +1 more source
An energy aware Q-learning framework for comprehensive coverage path planning in unknown complex environments. [PDF]
Xue Y, Tan CK, Wong WP.
europepmc +1 more source
Recent Advances of Slip Sensors for Smart Robotics
This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang +8 more
wiley +1 more source

