Results 171 to 180 of about 172,286 (287)

Shaping Decision Models for Stochastic Dynamic Optimization Problems via Reinforcement Learning

open access: yesNetworks, EarlyView.
ABSTRACT With rising customer expectations and increasing computational potential, many transport, manufacturing, and production operations face real‐time decision making in stochastic dynamic environments. Decision makers must find and adapt complex plans that are effective now but also flexible with respect to future developments.
Florentin D. Hildebrandt   +3 more
wiley   +1 more source

Enhanced FPGA-based smart power grid simulation using Heun and Piecewise analytic method. [PDF]

open access: yesSci Rep
Gul U   +5 more
europepmc   +1 more source

Solving for Blameless and Optimal Control Under Prioritized Safety Constraints

open access: yesOptimal Control Applications and Methods, EarlyView.
Summary of the proposed method for solving for blameless and optimal control sequences. ABSTRACT In many safety‐critical optimal control problems, users may request multiple safety constraints that are jointly infeasible due to external factors such as subsystem failures, unexpected disturbances, or fuel limitations.
Natalia Pavlasek   +3 more
wiley   +1 more source

A Benchmark for Entropy Estimators. [PDF]

open access: yesEntropy (Basel)
Calcagnile LM, Di Garbo A, Galatolo S.
europepmc   +1 more source

A Machine Learning Approach to Predict Functional Performance From Measurable Protein Structural Characteristics: A Screening Tool for Protein Ingredient Quality

open access: yesProteins: Structure, Function, and Bioinformatics, EarlyView.
ABSTRACT The food industry is witnessing the emergence of specialized protein‐based functional ingredients for the use as gelling, thickening, and/or emulsifying agents in various food applications. Different sources of protein including species and cultivars, as well as variable processing conditions affect the protein's structural characteristics ...
Ronit Mandal   +3 more
wiley   +1 more source

All‐sky assimilation impacts of the Tomorrow.io microwave sounder constellation on global weather forecasts

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
Key Findings: An assimilation methodology is established for the Tomorrow.io microwave sounder (TMS) flying on CubeSats in sun‐synchronous and inclined orbits, and in all cloud scenes. The TMS has a significant impact on weather forecast lead times up to 3 days in the Tropics in a research‐quality numerical weather prediction setting, and yields water ...
Jonathan J. Guerrette   +3 more
wiley   +1 more source

Moisture inversions in the central Arctic: Product assessment and long‐wave radiative effect

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
This study evaluates the integrated water vapour and the vertical distribution of water vapour of state‐of‐the‐art reanalyses, weather forecast models, and ground‐ and space‐based remote‐sensing products in the central Arctic. A particular focus lies on the representation of humidity inversions and the quantification of the long‐wave radiative effect ...
Andreas Walbröl   +6 more
wiley   +1 more source

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