Results 221 to 230 of about 1,535,797 (279)
Light weight encryption technique: a cellular automaton based approach for securing health records. [PDF]
Anwar S, Pranav P, Kamilya S.
europepmc +1 more source
Reinforcement Learning for Jump‐Diffusions, With Financial Applications
ABSTRACT We study continuous‐time reinforcement learning (RL) for stochastic control in which system dynamics are governed by jump‐diffusion processes. We formulate an entropy‐regularized exploratory control problem with stochastic policies to capture the exploration–exploitation balance essential for RL.
Xuefeng Gao, Lingfei Li, Xun Yu Zhou
wiley +1 more source
Temporally extended goal recognition in fully observable non-deterministic domain models: Temporally extended goal recognition in FOND planning. [PDF]
Pereira RF +3 more
europepmc +1 more source
Mandate Models and the Inelastic Market Hypothesis
ABSTRACT The aggregate equity market displays only small price elasticity; in particular, macroeconomic allocations in and out of the equity market lead to surprisingly large impacts on stock valuations. Gabaix and Koijen study this phenomenon and provide a theoretical framework to explain the observed price inelasticity. They consider financial agents
Johannes Ruf, Yueying Sun
wiley +1 more source
Cellular automata based key distribution for lightweight hybrid image encryption with elliptic curve cryptography. [PDF]
Yogi B, Khan AK, Roy S.
europepmc +1 more source
Abstract Introduction Health professions educators occupy a unique position at the intersection of clinical practice, education and service. Despite their central role, educator identity remains under‐recognised and insufficiently theorised within academic medicine, where clinical expertise and research dominate traditional hierarchies of value.
Farah Ennab +2 more
wiley +1 more source
Hybrid Vigenere and elliptic curve cryptography technique over the finite field [Formula: see text]. [PDF]
El Bourakkadi H +5 more
europepmc +1 more source
The orthopedic mechanophenotype framework comprises load exposure, tissue susceptibility, and biological adaptability axes to decode mechanical‐biological crosstalk. It guides clinical phenotyping, targeted intervention, and response monitoring for orthopedic disorders beyond static morphological assessment.
Zihao Lan, Zhipeng Mu, Hongjian Li
wiley +1 more source
Autapses enable temporal pattern recognition in spiking neural networks. [PDF]
Yaqoob M, Steuber V, Wróbel B.
europepmc +1 more source
Abstract Background Artificial intelligence (AI) is increasingly gaining attention in the field of periodontology and implant dentistry. Currently developed models can support diagnosis, treatment planning, and maintenance monitoring. However, most of the available literature is based on retrospective and often single‐modality data sets.
Aminollah Khormali +2 more
wiley +1 more source

