Results 141 to 150 of about 544,487 (316)
Materials Advances in Devices for Heart Disease Interventions
Advanced Materials, EarlyView.This review examines the crucial role of materials in heart disease interventions, focusing on strategies for monitoring, managing, and repairing heart conditions. It discusses the material requirements for medical devices, highlighting recent innovations and their impact on cardiovascular health.
Gagan K. Jalandhra +11 more
wiley +1 more source
Clustering with Reinforcement Learning
, 2007 We show how a previously derived method of using reinforcement learning for supervised clustering of a data set can lead to a sub-optimal solution if the cluster prototypes are initialised to poor positions. We then develop three novel reward functions which show great promise in overcoming poor initialization. We illustrate the results on several data
Barbakh, Wesam, Fyfe, Colin
openaire +2 more sources
Hierarchical Reinforcement Learning [PDF]
, 1993 A response generating system can be seen as a mapping from a set of external states (inputs) to a set of actions (outputs). This mapping can be done in principally different ways. One method is to divide the state space into a set of discrete states and store the optimal response for each state. This is denominated a memory mapping system.
openaire +3 more sources
Reinforcement-test-blank acquisition programming under the unmixed-list design in paired-associate learning [PDF]
, 1970 Chizuko Izawa
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Electrospinning and Nanofiber Technology: Fundamentals, Innovations, and Applications
Advanced Materials, EarlyView.This review explores electrospinning fundamentals, methods for synthesizing polymer, metal oxide, carbon, and composite nanofibers, and advancements in fiber architectures like porous, core–shell, and aligned structures. It highlights applications in functional membranes, sensors, energy systems, and catalyst design while addressing future ...
Yujang Cho +5 more
wiley +1 more source
Advanced Materials, EarlyView.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
, 2013 Corrected version of paper appearing in ICML ...
Dimitrakakis, Christos +1 more
openaire +3 more sources
The intercalated reinforcement technique: Learning without differential total reinforcement between groups [PDF]
, 1973 Philip J. Bushnell +2 more
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Verbal learning and reinforcement: A reexamination of the Premack hypothesis [PDF]
, 1974 Robert W. Schaeffer, Robert J. Nolan
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From Microscale to Road Scale: Bridging the Gaps of Predictive Aluminum Corrosion Using SECM
Advanced Materials Interfaces, EarlyView.The current study explores the corrosion prediction possibility on various aluminum (AAxxxx) surfaces (via. SECM) without the need of long‐term road testing. The obtained results show a strong correlation identified between the in‐service corrosion propagation data (from 2 years of road‐test), and the estimated corrosion propagation using ...
Vikram Singh +3 more
wiley +1 more source