Results 71 to 80 of about 667,394 (343)
Advanced Intelligent Systems, EarlyView.This study introduces a data‐driven framework that combines deep reinforcement learning with classical path planning to achieve adaptive microrobot navigation. By training a surrogate neural network to emulate microrobot dynamics, the approach improves learning efficiency, reduces training time, and enables robust real‐time obstacle avoidance in ...
Amar Salehi +3 more
wiley +1 more source
Advanced Intelligent Systems, EarlyView.Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal +6 more
wiley +1 more source
Critically Important Object Security System Element Model
Безопасность информационных технологий, 2012 A stochastic model of critically important object security system element has been developed. The model includes mathematical description of the security system element properties and external influences.
I. V. Khomyackov
doaj
Inference, Prediction, & Entropy-Rate Estimation of Continuous-Time, Discrete-Event Processes
Entropy, 2022 Inferring models, predicting the future, and estimating the entropy rate of discrete-time, discrete-event processes is well-worn ground. However, a much broader class of discrete-event processes operates in continuous-time.
Sarah E. Marzen, James P. Crutchfield
doaj +1 more source
PPO‐Based Reinforcement Learning for the Semi‐Active Vibration Control of MDOF Platform
AI &Innovation, EarlyView.ABSTRACT Aiming at the coupled vibration problem of a multi‐degree‐of‐freedom (MDOF) vibration isolation platform under eccentric excitation, this paper proposes a semi‐active vibration control strategy based on Proximal Policy Optimization (PPO) ‐based reinforcement learning (PPO RL).
Wei Huang, Jian Xu
wiley +1 more source
First-Order Uncertain Hidden Semi-Markov Process for Failure Prognostics With Scarce Data
IEEE Access, 2020 Failure prognostics aims at predicting the object equipment's future degradation trend and derives the remaining useful life with a predefined failure threshold.
Jie Liu
doaj +1 more source
, 2011 Due to the limitation of current condition monitoring technologies, the estimates of asset health states may contain some uncertainties. A maintenance strategy ignoring this uncertainty of asset health state can cause additional costs or downtime.
Wolff, Rodney C. +9 more
core +1 more source
Effects Of Thermal Exchange On Material Flow During Steel Thixoextrusion Process [PDF]
, 2010 Semi-solid processing is an innovative technology for near net-shape production of components, where the metallic alloys are processed in the semi-solid state.
GU, Guochao +4 more
core +1 more source
American Journal of Agricultural Economics, EarlyView.Abstract Large‐scale land reforms constitute a substantial redistribution of wealth and reallocation of agricultural land, which is a major form of asset and production input in developing countries. While land redistribution (from the rich to the poor) remains a highly controversial issue, extensive evidence on its effect is limited.
Devashish Mitra +3 more
wiley +1 more source
Semi-Markov decision process based congestion control algorithm for video transmission
Tongxin xuebao, 2014 Due to the problem that the congestion control algorithm of transmission control protocol (TCP) cannot meet the requirements of quality of experience for Internet video transmission, a semi-Markov decision process based conges-tion control algorithm for ...
Bo TIAN, Yi-min YANG, Shu-ting CAI
doaj +2 more sources