Results 191 to 200 of about 15,532 (286)

Identifying Faults in Power Transformers Based on Machine‐Learning Algorithms Compared With Other Techniques

Energy Science &Engineering, EarlyView.
General framework of ensemble learning technique for transformer fault diagnostics compared with traditional dissolved gas analysis methods. ABSTRACT This paper implemented a comprehensive variety of modern machine‐learning techniques, which were demonstrated to be effective in handling complex tabular data, generating accurate predictions, and ...
Osama E. Gouda, Nourhan Ramadan, Matti Lehtonen, Mohamed M. F. Darwish   +3 more
wiley   +1 more source

Improved many-objective particle swarm optimization based welding sequence optimization research. [PDF]

PLoS One
Dong L, Gu S, Dong J, Ji Q, Liu J.
europepmc   +1 more source

A Comprehensive Review of AI‐Powered Energy Systems

Energy Science &Engineering, EarlyView.
The role of Artificial Intelligence (AI) in developing next‐generation energy systems is getting more day by day. Therefore, incorporating AI enables real‐time decision‐making and advanced grid management, which are essential for optimizing the use of intermittent renewable sources like wind and solar power.
Armin Razmjoo, Pedram Asef, Masoumeh Javadi, Mousa Marzband, Shady S. Refaat, Muhyaddin Rawa   +5 more
wiley   +1 more source

A hybrid decision-support framework for selecting sustainable domestic heating systems in cold climates. [PDF]

Sci Rep
Suvitha K, Murugesan V, Jaisankar R, Narayanamoorthy S, Almakayeel N, Dincer H, Yuksel S, Jeon J.   +7 more
europepmc   +1 more source

Iron Energy Carrier: Experimental Characterisation, Combustion Diagnostic and Benchmarking with Other Clean Metal Fuels

Energy Science &Engineering, EarlyView.
This study investigates how iron particles burn across a wide size range, revealing late‐stage nanoparticle release and a previously unrecognised shift in combustion behaviour near 118 µm. High‐speed imaging, PMT diagnostics and SEM analyses have been conducted.
Zakaria Mansouri
wiley   +1 more source

A hybrid RSM-spherical fuzzy WASPAS framework for robust tribological optimization of directionally rolled copper rods under manufacturing uncertainty. [PDF]

Sci Rep
Sivam SPSS, Kesavan S, Johnson Santhosh A.   +2 more
europepmc   +1 more source

Notable Impact of Paleotectonic Stress on Gold Mineralisation in the West Qinling Orogen

Geological Journal, EarlyView.
By applying fuzzy clustering and multiple inverse methods, we systematically processed the data of vein and fault slip in this ore deposit to reveal the transition of orogenic geological environment and paleotectonic stress field. Our research results show two different stress states: the northwest–southeast extensional stress field and the northeast ...
Hongyan Wang, Aibing Chen, Jian Yang, Yuan Zhang   +3 more
wiley   +1 more source

An AI-driven fire risk forecasting framework for urban villages using IGWO-optimized LSTM with incremental learning. [PDF]

PLoS One
Tian J, Li H, Lv S.
europepmc   +1 more source

Development and External Validation of an Efficient Deep Learning Model for Lesion Segmentation and Subtyping of Hepatic Echinococcosis in Ultrasound Imaging

Health Care Science, EarlyView.
We developed a lightweight deep learning framework that integrates frequency‐ and spatial‐domain ultrasound features with segmentation‐assisted classification for hepatic echinococcosis diagnosis. The model outperformed existing state‐of‐the‐art methods in both accuracy and inference speed while requiring substantially fewer computational resources ...
Zhu He, Jiajun Qiu, Chenlin Du, Jin Yin, Xuhui Zhang, Yelei Ren, Yifei Wang, Lamu Suolang, Chunyang Li, Zongjiu Zhang, Diming Cai, Qicheng Lao   +11 more
wiley   +1 more source

Galaxy Evolution with Manifold Learning. [PDF]

Entropy (Basel)
Takeuchi TT, Cooray S, Kano RR.
europepmc   +1 more source