Results 61 to 70 of about 196,068 (330)
Using Deep Reinforcement Learning for mmWave Real-Time Scheduling [PDF]
Barak Gahtan +3 more
openalex +1 more source
Suboptimal Choice Behaviour across Different Reinforcement Probabilities [PDF]
Six adult roosters’ choice behaviour was investigated across a series of five experimental conditions and a series of replication of the same five experimental conditions. Stagner and Zentall (2010) found that pigeons prefer to choose an alternative with
Yang, Le
core +1 more source
Contact Lens with Moiré Patterns for High‐Precision Eye Tracking
This work presents a passive contact lens for high‐precision eye tracking, integrating a microscopic moiré grating label. The parallax‐induced shift of macroscopic moiré patterns enables angle measurement with 0.28° precision using a standard camera under ambient light.
Ilia M. Fradkin +11 more
wiley +1 more source
Many cancer nanotherapeutics, while potent, suffer from the inability to escape from the tumor vasculature, especially in the absence of endothelial permeability. In this work, ultrasmall gold nanoclusters could engineer nanomaterials induced endothelial leakiness (NanoEL) and harness strong NIR induced photothermal characteristics to suppress tumor ...
Nengyi Ni +8 more
wiley +1 more source
Background The short-term 0–1–2-month hepatitis B virus (HBV) vaccination schedule was previously implemented in the adult population; however, its long-term immune effect remains unclear. The present study aimed to investigate (1) the 2-month and 2-year
Juan Wang +6 more
doaj +1 more source
Photon Avalanching Nanoparticles: The Next Generation of Upconverting Nanomaterials?
This Perspective outlines the mechanistic foundations that enable photon‐avalanche (PA) behavior in lanthanide nanomaterials and contrasts them with emerging application spaces and forward‐looking design strategies. By bridging threshold engineering, energy‐transfer dynamics, and materials engineering, we provide a coherent roadmap for advancing the ...
Kimoon Lee +7 more
wiley +1 more source
A hydrogel with dynamic cross‐links was formed by cross‐linking hyaluronic acid with curcumin‐preloaded, phenylboronic acid‐modified poly(amidoamine) dendrimers. This hydrogel exhibited excellent injectability and self‐healing ability, enabling controlled Cur release in response to low pH, high reactive oxygen species (ROS) generation, or mechanical ...
Junjie Liu +9 more
wiley +1 more source
This paper proposes an interpretable optimization method for power grid outage scheduling based on reinforcement learning. An outage scheduling optimization model is proposed, considering the convergence of power flow calculation, voltage violations, and
Wei Tang +4 more
doaj +1 more source
Shaping through differential reinforcement of successive approximations to a target response has been a cornerstone procedure for the training of novel behavior.
Eduardo J. Fernandez
doaj +1 more source
Human-Machine Collaborative Optimization via Apprenticeship Scheduling
Coordinating agents to complete a set of tasks with intercoupled temporal and resource constraints is computationally challenging, yet human domain experts can solve these difficult scheduling problems using paradigms learned through years of ...
Golen, Toni +6 more
core +1 more source

