Results 171 to 180 of about 1,948 (255)

Graph Neural Network‐Based Prediction of Building Energy Consumption

Energy Science &Engineering, EarlyView.
A graph neural network that encodes a multi‐zone building as a graph accurately predicts hourly cooling and heating loads across three distinct climates, outperforming Random Forest and XGBoost baselines and serving as a fast surrogate to EnergyPlus simulations for scalable building energy management.
Ali Maboudi Reveshti, Jamal Dabbagh, Jhila Nasiri Reveshti, Karim Farajeyan Bonab, Farid Hosseini Mansoub   +4 more
wiley   +1 more source

Evaluation of Drillability of the Mahu Conglomerate Formation in Xinjiang, China

Energy Science &Engineering, EarlyView.
This graphical abstract illustrates the workflow for developing an optimized prediction model using measurement while drilling (MWD) data. A total of 90 MWD cases are divided into a training set (80%) and a test set (20%). Four logging‐while‐drilling parameters—compensation density, acoustic travel time, resistivity, and neutron porosity—are selected ...
Yun Xia, Wan Zhu, Rui Chen, Hui Zhang, Boyuan Yang, Kunhong Lv, Baokang Wu, Xinrui Wang, Hu Wu   +8 more
wiley   +1 more source

Study on the Polishing Mechanism of Composite Magnetic Field-Controlled Internal Flow Channels in Additive Manufacturing. [PDF]

Materials (Basel)
Li H, Wang R, Zhang J, Guo S, Su G, Du J, Li B, Zhang P, Xia Y, Sun Y.   +9 more
europepmc   +1 more source

Artificial Chlorella Biohybrids for Alleviation of Cartilage Degeneration in Osteoarthritis

Exploration, EarlyView.
Artificial Chlorella biohybrids (Ch@P) alleviate cartilage degeneration and protect against OA progression by activating mitophagy and reprogramming glucose metabolism in chondrocytes, as well as inducing articular thermal stimulation under near infrared irradiation.
Yongyun Chang, Keyu Kong, Minghao Jin, Shasha Liu, Yangzi Yang, Yingchun Zhu, Hua Qiao, Wenxuan Fan, Xinru Wu, Jingwei Zhang, Yansong Qi, Yongsheng Xu, Xiang Feng, Pingcuo Nima, Piting Ji, Tariel Mamuladze, Andrei A. Korytkin, Huiwu Li, Jingke Fu, Zanjing Zhai   +19 more
wiley   +1 more source

Advancing sustainable machining of inconel 718 through nanoparticle-enhanced coconut oil and RSM-GA optimization. [PDF]

Sci Rep
Almomani O, Rajput V, Rao ACU, Samantaray S, Patil N, Singh R, Naidu BVV, Sahani M, Bhowmik A, Abate L.   +9 more
europepmc   +1 more source

An adequacy‐for‐purpose perspective for the environmental sciences

Frontiers in Ecology and the Environment, EarlyView.
The range of datasets, methods, and other tools available for environmental research and decision‐making is rapidly expanding. How should the quality of these tools be evaluated? When are new resources better than existing resources? We advocate an adequacy‐for‐purpose perspective, according to which the quality of environmental research tools depends ...
Wendy S Parker, Cayelan C Carey, Freya Olsson, R Quinn Thomas   +3 more
wiley   +1 more source

Research Progress of Electrochemical Machining Technology in Surface Processing: A Review. [PDF]

Micromachines (Basel)
Wang Y, Yang Y, Han C, Pang G, Fan S, Xu Y, He Z, Fang J.   +7 more
europepmc   +1 more source

Recent advances in multifunctional soft robots: A materials–structures–systems co‐design perspective for synergistic integration

FlexMat, EarlyView.
Abstract Soft robots, engineered from highly compliant materials, offer superior adaptability and safety in unstructured environments compared to their rigid counterparts. Recent advancements, fueled by bio‐inspiration and material programmability, have led to the rapid co‐evolution of their core modules: actuation, sensing, protection, energy, and ...
Qiulei Liu, Zicao Peng, Chong Sun, Haitao Yang   +3 more
wiley   +1 more source

The Influence of Operating Pressure Oscillations on the Machined Surface Topography in Abrasive Water Jet Machining. [PDF]

Materials (Basel)
Veljković DŽ, Baralić J, Janković P, Dučić N, Savković B, Jovičić A.   +5 more
europepmc   +1 more source

Research of Abrasive Injection Process to the Wall and Machining Characteristic of Soft Abrasive Flow Machining

Journal of Mechanical Engineering, 2012
openaire   +1 more source