Results 201 to 210 of about 8,264 (263)

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

A Context‐Aware Decision Support Framework for Scientific Experiment Configuration

open access: yesSoftware: Practice and Experience, EarlyView.
ABSTRACT Introduction Defining an experimental configuration is a complex decision problem for early‐stage researchers, who must map goals, constraints, and requirements onto datasets, algorithms, and parameter settings that directly affect experimental outcomes.
Pouriya Miri   +3 more
wiley   +1 more source

Is Reading an Upstream Predictor of Science and Mathematics Achievements in PISA? A Bayesian Network Analysis for Policy Educational Interventions on Socio‐Economic Dispersion and Gender Gaps

open access: yesSystems Research and Behavioral Science, EarlyView.
ABSTRACT This study investigates the structural relationships among reading, science and mathematics performance, socio‐economic dispersion (SES_Variance) and gender gaps using cross‐country PISA 2022 data. The primary objective is to assess whether reading functions as an upstream determinant of academic achievement and to evaluate the causal roles of
Simona‐Vasilica Oprea, Adela Bâra
wiley   +1 more source

Formal Approach to Safety‐Driven Dynamic Procedure Modeling

open access: yesSystems Engineering, EarlyView.
ABSTRACT Ensuring the safety of unmanned aerial systems (UAS) is a growing concern as the number of UAS grows increasingly fast. Regulatory bodies are in the process of tackling this problem by issuing standards and recommendations to be met by UAS designers.
Jean‐Charles Chaudemar   +3 more
wiley   +1 more source

A high‐altitude thermal infrared method for estimating moose abundance and demography in Rocky Mountain National Park, USA

open access: yesWildlife Biology, EarlyView.
Resource managers require accurate estimates of large herbivore abundance and demography to maintain ecological integrity. Common methods to count these species, including observations from low altitude helicopter flights, may conflict with other protected area management objectives and struggle to produce precise estimates for more cryptic species. To
Hanem G. Abouelezz, N. Thompson Hobbs
wiley   +1 more source

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