Results 171 to 180 of about 171,350 (313)
Optimization of Stock Trading System based on Multi-Agent Q-Learning Framework [PDF]
Yu-Seop Kim, Jae Wook Lee, Jongwoo Lee
openalex +1 more source
Wearable sensors, empowered by AI and smart materials, revolutionize healthcare by enabling intelligent disease diagnosis, personalized therapy, and seamless health monitoring without disrupting daily life. This review explores cutting‐edge advancements in smart materials and AI‐driven technologies that empower wearable sensors for diagnostics and ...
Shuwen Chen+14 more
wiley +1 more source
Human Pathogenic Monkeypox Disease Recognition Using Q-Learning Approach. [PDF]
Velu M+6 more
europepmc +1 more source
Q-Learning for Flexible Learning of Daily Activity Plans [PDF]
David Charypar, Kai Nagel
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Research on the Evolution of Defects Initiation and the Diffusion of Dopant on the Si/SiO2 Interface
This review mainly introduces the recent investigations on the mechanisms of interface defect initiation and dopant diffusion, and the comparisons and discussions of the initial mechanism of defects, structures of defects to provide valuable guidance for improving the performance and extending the lifespan of Si/SiO2 interfaces.
Yunqi Yang+7 more
wiley +1 more source
Biologically Inspired Complete Coverage Path Planning Algorithm Based on Q-Learning. [PDF]
Tan X, Han L, Gong H, Wu Q.
europepmc +1 more source
Enhanced Oxygen Evolution Kinetics via Single‐Atom Catalyst Design: A Review
Single atom catalysts (SACs) in oxygen evolution reaction (OER). TOC shows key aspects like synthetic strategies, supports‐selection principle, metal types, and OER performances in SACs. Abstract This review highlights recent advancements in enhancing oxygen evolution reaction kinetics through the design of single‐atom catalysts.
Zhen Yuan+7 more
wiley +1 more source
Evaluation of Quantitative Decision-Making for Rhythm Management of Atrial Fibrillation Using Tabular Q-Learning. [PDF]
Barrett CD+12 more
europepmc +1 more source
Learning of Detour and Navigation by Consciousness-based Architecture : Comparison with Q-learning
Junichiro Ohtubo+2 more
openalex +2 more sources
This review provides an in‐depth overview of the design principles and optimization strategies for terahertz (THz) metamaterials (MMs) sensors based on the dielectric perturbation theory. Various structures and methods are explored to enhance sensor performance, focusing on improving sensitivity and Q‐factor.
Lei Cao+9 more
wiley +1 more source