Results 191 to 200 of about 6,813,126 (333)
Magnetic Domain Texture in Fe3O4 Thin Films on SiO2 Nanospheres
Fe3O4 thin films grown on ordered SiO2 nanospheres form curved nanocaps with 3D geometry, inducing magnetic domain texture. X‐ray spectromicroscopy (XMCD‐PEEM), cross‐sectional electron microscopy (STEM), and polarized grazing‐incidence small‐angle neutron scattering (GISANS) reveal how topography modulates magnetization.
Mai Hussein Hamed +14 more
wiley +1 more source
Deep Q-Learning for Gastrointestinal Disease Detection and Classification. [PDF]
Saba A, Amin J, Ali MU.
europepmc +1 more source
Multi-Agent Q-learning With and Without Algorithmic Orchestration
Carissimo, Cesare James
openalex +2 more sources
Ordered three‐dimensional anodic aluminum oxide (3D‐AAO) nanoarchitectures with longitudinal and transverse pores enable architecture‐driven metamaterials. The review maps fabrication advances, including hybrid pulse anodization, and shows how 3D‐AAO templates tailor properties across magnetism, energy, catalysis, and sensing.
Marisol Martín‐González
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
Q-LEARNING PESSIMISTA: UM ALGORITMO PARA GERAÇÃO DE BOTS DE JOGOS EM TURNOS
ADRIANO BRITO PEREIRA
openalex +2 more sources
A Wearable, Dual Closed‐loop Insulin Delivery System for Precision Diabetes Management
A wearable dual closed‐loop drug delivery system for diabetes management is presented, featuring an adaptive, on‐body trained edge AI algorithm for precise insulin delivery, which enhances therapeutic accuracy from 92.10% to 98.82%. Abstract Effective blood glucose management is an increasing demand worldwide.
Xuecheng He +12 more
wiley +1 more source
Q-learning with temporal memory to navigate turbulence. [PDF]
Rando M +4 more
europepmc +1 more source
Q-learning model of insight problem solving and the effects of learning traits on creativity. [PDF]
Harada T.
europepmc +1 more source
This review presents a focused and integrated perspective on copper‐based catalysts for the selective electrochemical reduction of CO2 to methanol. It elucidates active site dynamics, mechanistic pathways, and structure–activity relationships, while connecting fundamental insights with catalyst design, reactor engineering, and techno‐economic ...
Debabrata Bagchi +7 more
wiley +1 more source

