Results 131 to 140 of about 190,474 (279)

Composition laws of binary quadratic forms and isolations of quadratic forms

11 ...
Ju, Jangwon, Kim, Daejun, Kim, Kyoungmin, Kim, Mingyu, Oh, Byeong-Kweon   +4 more
openaire   +2 more sources

A Multivariate Mixed‐Effects Regression Framework for Ground Motion Modeling: Integrating Parametric and Machine Learning Approaches

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Multivariate ground motion models (GMMs) that capture the correlation between different intensity measures (IMs) are essential for seismic risk assessment. Conventional GMMs are often developed using a two‐stage approach, where separate univariate models with predefined functional forms are fitted first, and correlation is addressed in a ...
Sayed Mohammad Sajad Hussaini, Shaghayegh Karimzadeh, Paulo B. Lourenço   +2 more
wiley   +1 more source

Research on the Impact of Power Industry Agglomeration on the Development of Energy Industry—Empirical Evidence From China's Provincial Panel

Energy Science &Engineering, EarlyView.
ABSTRACT Under the background of Global Climate Governance and “double carbon” goals, power industry agglomeration is an important path to promote the development of energy industry, and its mechanism and impact effect need to be further explored.
Tanbo Zhu, Wei Bu
wiley   +1 more source

Discovery of an Ideal Quadratic Nodal Point in Two-Dimensional Binary Compound C₅P₁. [PDF]

ACS Omega
Li Y.
europepmc   +1 more source

Smart Solar Power Site Selection Through a Hybrid Computational Framework of Neuro‐Fuzzy With Genetic Algorithm Optimization

Energy Science &Engineering, EarlyView.
Solar Power plants at various locations a: Pavagada SPP, Karnataka b: Bhadla SPP, Rajasthan c: West Bengal Solar Park ABSTRACT This paper presents a new neuro‐fuzzy multi‐criteria decision‐making (MCDM) framework designed to optimize the selection of solar power plant (SPP) sites across India.
Rajkumari Malemnganbi Devi, Benjamin A. Shimray, Ingudam Chitrasen Meitei, Khelchandra Thongam, Shuma Adhikari, Anuradha Laishram, Subir Datta, Ahmed Al Mansur, Taha Selim Ustun   +8 more
wiley   +1 more source

Quantum annealing for inverse kinematics in robotics. [PDF]

Sci Rep
Salloum H, Savin S, Kholodov Y, Ryzhakov G, Farina M, Oseledets I.   +5 more
europepmc   +1 more source

Performance Prediction of Battery Pack Throughout the Entire Lifecycle Using Monte Carlo Algorithm and Joint Simulation of Multiple Physical Fields

Energy Science &Engineering, EarlyView.
ABSTRACT This article is based on the storage test of individual batteries. We combined the data analysis with the deductive simulation to predict the health status of the entire battery pack. Besides, we combined the storage process and discharge process of the battery pack based on the single‐cell storage test.
Liteng Zeng, Chuanbo Weng, Fei Xu, Kangpei Meng   +3 more
wiley   +1 more source

Graph Learning-based Cooperative Inference Method for Space-Air-Ground Integrated Networks

物联网学报
In the space-air-ground integrated network (SAGIN), diverse atificial iintelligence (AI) applications are realized through the inference of pre-trained deep neural networks (DNNs).
XU Yukai, XU Bo, ZHANG Linhao, WANG Qin, ZHAO Haitao   +4 more
doaj  

Response Surface Optimization of High-Durability Fly Ash-Slag Blended Concrete as an Eco-Friendly Repair Material. [PDF]

Materials (Basel)
Wei H, Chen A, Li C, Zhang J, Lu H.
europepmc   +1 more source

A Closed‐Loop Human Resource Management Framework for Energy Efficiency: Integrating Predictive Optimization With Behavioral Implementation

Energy Science &Engineering, EarlyView.
The proposed framework operates as a continuous cycle: organizational data streams feed into predictive optimization, which generates energy efficiency targets. These targets are translated into behavioral directives through human resource management mechanisms.
Huang Juan, Aimi Binti Anuar
wiley   +1 more source