Results 181 to 190 of about 252,932 (279)

Simulation of Nonpremixed Jet Flame Using Flamelet‐Generated Manifold

open access: yesSafety Science and Technology, EarlyView.
A flamelet‐generated manifold (FGM) approach is proposed and validated by nonpremixed methane jet flames. The effects of radiation and buoyancy were critically examined, and nonpremixed and premixed tabulation methods were compared, revealing the importance of radiation, buoyancy, and appropriate flamelet prototype in accurate FGM modeling.
Yujie Lin   +6 more
wiley   +1 more source

Intelligent Control Strategy of a Battery Energy Storage for a Climate‐Controlled Greenhouse with a High Proportion of Local Renewable Energy

open access: yesIEEJ Transactions on Electrical and Electronic Engineering, EarlyView.
Greenhouse cultivation offers the advantage of controlled growth conditions, leading to enhanced crop productivity and quality. However, maintaining these optimal conditions requires substantial energy, resulting in increased greenhouse gas emissions and operational costs. Integrating local renewable energy sources, particularly photovoltaic (PV) solar
Akihiro Funaki, Jorge Solis
wiley   +1 more source

A Clarification on Quantum-Metric-Induced Nonlinear Transport. [PDF]

open access: yesAdv Sci (Weinh)
Qiang XB, Liu T, Gao ZX, Lu HZ, Xie XC.
europepmc   +1 more source

TNCOA: Efficient Exploration via Observation‐Action Constraint on Trajectory‐Based Intrinsic Reward

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Efficient exploration is critical in handling sparse rewards and partial observability in deep reinforcement learning. However, most existing intrinsic reward methods based on novelty rely on single‐step observations or Euclidean distances.
Jingxiang Ma, Hongbin Ma, Youzhi Zhang
wiley   +1 more source

Temporal Dependency‐Aware Trajectory‐Level Behavioural Metric for Exploration in Reinforcement Learning

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Intrinsic motivation serves as the predominant paradigm of exploration in reinforcement learning. In pursuit of an informative and robust state representation, the behavioural metric groups behaviourally equivalent states together, which share the same single‐step reward and transition distribution.
Anjie Zhu   +3 more
wiley   +1 more source

Recognition of Spatiotemporal Feature Images of Zero‐Sequence Voltage for Single‐Phase High‐Impedance Ground Faults Under Complex Conditions

open access: yesHigh Voltage, EarlyView.
ABSTRACT Diagnosing high‐impedance ground faults (HIGFs) in distribution networks is extremely challenging because high transition resistance significantly reduces electrical signal strength and unpredictable initial fault phase angles coupled with asymmetric voltage disturbances often lead to misclassification.
Zhengyang Li   +5 more
wiley   +1 more source

Tensor Changepoint Detection and Eigenbootstrap

open access: yesJournal of Time Series Analysis, EarlyView.
ABSTRACT Tensor data consisting of multivariate outcomes over the items and across the subjects with longitudinal and cross‐sectional dependence are considered. A completely distribution‐free and tweaking‐parameter‐free detection procedure for changepoints at different locations is designed, which does not require training data.
Michal Pešta   +2 more
wiley   +1 more source

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