Results 81 to 90 of about 9,481,834 (176)

Inferring Hidden Attentional States in Driving: A Bayesian Approach to Modeling Distraction and Secondary Task Engagement. [PDF]

Hum Factors
Dheeraj Kashyap L, Wang Z, Chang Y, Zahabi M, Garcia A.   +4 more
europepmc   +1 more source

Mechanisms of animal distribution: bridging advances in movement analysis with hierarchical and optimal foraging theories. [PDF]

Landsc Ecol
Fortin D, Bouderbala I.
europepmc   +1 more source

A dynamic evaluation method for ethical awareness in metaverse-based educational environments using hybrid Bayesian sequential models. [PDF]

Sci Rep
Yang B, Zhang X, Li C, Wu Y.
europepmc   +1 more source

Motion Planning-Augmented Hierarchical Reinforcement Learning for Long-Horizon Mobile Manipulation. [PDF]

Sensors (Basel)
Kim H, Choi MT.
europepmc   +1 more source

SEMI-MARKOV DECISION PROCESSES WITH COUNTABLE STATE SPACE AND COMPACT ACTION SPACE

We shall be concerned with the optimization problem of semi-Markov decision processes with countable state space and compact action space. Defined is the generalized reward function associated with the semi-Markov decision processes which include the ...
安田, 正實, Yasuda, Masami
core  

Opinion-driven vaccination and epidemic dynamics on heterogeneous networks. [PDF]

Sci Rep
Roy A, Shekhar U, Ghosh S, Kapitaniak T, Hens C.   +4 more
europepmc   +1 more source

A methodological analysis of systematic reviews of cost-effectiveness in screening, diagnosis, and treatment of colorectal cancer. [PDF]

Health Econ Rev
Velásquez MA, Bachelet VC.
europepmc   +1 more source

Comprehensive modelling of coastal landuse and land cover (LULC) dynamics and future changes using random forest, GEE, and MLP-Markov chain integration: a geo-computational approach. [PDF]

Sci Rep
Sahala PSF, Kaliraj S, Srinivas R, Madipally R, Gopinath G, Devaraj S, Loganathan P.   +6 more
europepmc   +1 more source

Addressing lightning and market uncertainties in self-scheduling: A fuzzy-markov approach for smart grids. [PDF]

Sci Rep
Benistan IS, Shahbazzadeh MJ, Eslami M.
europepmc   +1 more source

Beyond visual inspection: the deep learning revolution in quantitative cerebrovascular imaging. [PDF]

Front Neurosci
Mao X, Yang H, Weng S, Peng F, Xu J.
europepmc   +1 more source