Results 181 to 190 of about 6,556,524 (264)

Network Latency Estimation for Telesurgery Using Deep Reinforcement Learning

open access: yesSmartBot, EarlyView.
Overview of the proposed two‐stage deep reinforcement learning framework for network latency prediction in telesurgery. The pipeline includes data collection from simulated catheter navigation sessions (Philippines–Botswana), feature engineering, DQN‐based direction prediction (85.8% accuracy), direction‐to‐value transformation, and value forecasting ...
Bakang Kgopolo   +2 more
wiley   +1 more source

Revisiting industry effects: The assignment of firms to industries

open access: yesStrategic Management Journal, EarlyView.
Abstract Research Summary Strategy research examines the drivers of firm performance. Variance decomposition studies have analyzed industry's impact, with little attention paid to the industry to which a firm is assigned. This study investigates how industry assignment affects the findings about industry's impact.
Alireza Eshraghi, Bart S. Vanneste
wiley   +1 more source

Artificial intelligence empowers targeted protein degradation: Core technological innovations, multi‐scenario applications, and translational prospects

open access: yesSmart Molecules, EarlyView.
AI is transforming TPD by improving the design, prediction, and optimization of degraders such as PROTACs, molecular glues, and LYTACs. This review summarizes key AI‐driven advances, highlights applications across drug discovery stages, and discusses remaining challenges and future directions for accelerating the development of therapies against ...
Shuanglin Qin   +10 more
wiley   +1 more source

Life‐history stages and behavior influence demographic classification of moose captured on remote cameras

open access: yesWildlife Biology, EarlyView.
Obtaining accurate information on demographic states, such as the age and sex classes of animals, is an important step for monitoring wildlife populations. Traditionally, demographic data are collected from harvest, aerial surveys and telemetry studies.
Alexej P. K. Sirén   +15 more
wiley   +1 more source

Reinforcement Learning With Timed Constraints for Robotics Motion Planning

open access: yesArtificial Intelligence for Engineering, EarlyView.
This work presents a unified automata‐based reinforcement learning framework that enforces MITL time‐bounded task specifications in both MDPs and POMDPs. Results from grid‐world and office scenarios show robust policy learning under stochastic dynamics and partial observability.
Zhaoan Wang   +3 more
wiley   +1 more source

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