Results 91 to 100 of about 90,690 (297)
Extended Navier-Stokes Equations and Treatments of Micro-Channel Gas Flows
Journal of Fluid Science and Technology, 2009 Gas flows in micro-channels are, in general, theoretically treated with the Maxwell slip velocity as a boundary condition for the convection velocity at the wall.
Nishanth DONGARI +2 more
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Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook
Advanced Intelligent Discovery, EarlyView.Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang +4 more
wiley +1 more source
Contractor’s Risk Analysis of Engineering Procurement and Construction (EPC) Contracts Using Ontological Semantic Model and Bi-Long Short-Term Memory (LSTM) Technology [PDF]
, 2022 So-Won Choi, Eul‐Bum Lee
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Advanced Intelligent Discovery, EarlyView.Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin +4 more
wiley +1 more source
mSphereMalaria control requires the coordination of different strategies due to the lack of an effective vaccine and the emerging resistance of parasites to drugs and of vectors to insecticides.
Maurice Marcel Sandeu +6 more
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mBio, 2015 A better understanding of how bacteria resist stresses encountered during the progression of plant-microbe symbioses will advance our ability to stimulate plant growth.
Gargi Kulkarni +7 more
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Chaotic Time Series Prediction of Multi‐Dimensional Nonlinear System Based on Bidirectional LSTM Model [PDF]
, 2023 Luyao Wang, Liming Dai
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IA-LSTM: Interaction-Aware LSTM for Pedestrian Trajectory Prediction
, 2023 Predicting the trajectory of pedestrians in crowd scenarios is indispensable in self-driving or autonomous mobile robot field because estimating the future locations of pedestrians around is beneficial for policy decision to avoid collision. It is a challenging issue because humans have different walking motions, and the interactions between humans and
openaire +2 more sources
Large Language Model‐Based Chatbots in Higher Education
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci +4 more
wiley +1 more source
Exploring rhizobial diversity in tara (Caesalpinia spinosa) by trapping with pea (Pisum sativum)
Scientia AgropecuariaTara (Caesalpinia spinosa) is an emblematic legume tree of Peruvian dry forests and is a multi-purpose tree for tannins and gum, in particular. Despite its importance, the microbiological aspects associated with tara are not currently considered in ...
S. Sangay-Tucto +3 more
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