Results 191 to 200 of about 7,109 (257)

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

An enhanced Draco lizard optimizer for accurate parameter extraction of proton exchange membrane fuel cells. [PDF]

Sci Rep
Alqahtani MH, Aljumah AS, Ginidi AR, Shaheen AM.   +3 more
europepmc   +1 more source

Energy Consumption and CO2 Emissions Forecasting of Transport Sector Using Machine Learning

Energy Science &Engineering, EarlyView.
The transport sector accounts for approximately one‐quarter of Iran's final energy consumption. The energy demand in this sector has the least variation, with petroleum products accounting for more than 85% of the demand. Furthermore, the accelerated growth of energy consumption and the sector's reliance on fossil fuels, which are the main cause of ...
Amir Hossein Akbari, Seyyed Mohammad Hashemi, Meisam Farajollahi   +2 more
wiley   +1 more source

A novel sustainable hybrid intuitionistic fuzzy decision-making model for machinability ranking of Al-Cu-Mg-SiC-graphite-peanut shell hybrid composites. [PDF]

Sci Rep
Sivam SPSS, Umasekar VG, Kesavan S, Santhosh AJ.   +3 more
europepmc   +1 more source

Real‐Time Incremental Learning Artificial Neural Networks Maximum Power Point Tracking With Raspberry Pi‐Based Meteorological Data Acquisition

Energy Science &Engineering, EarlyView.
We present a smart solar tracking method using artificial intelligence to improve the efficiency of solar panels. Unlike traditional techniques, our system learns and adapts to changing sunlight conditions, ensuring faster and more reliable power generation for real‐world energy needs.
Rida Amine, Noureddine El Barbri, Mourad Yessef, Mohammed M. Alammar, Z.M.S. El‐Barbary, Hatim Ameziane   +5 more
wiley   +1 more source

Artificial intelligence-generated sustainable gift box design evaluation via reinforcement learning-driven hybrid molecular fuzzy modelling. [PDF]

Sci Rep
Dinçer H, Yüksel S, Yaran Ögel İ, Ecer F.   +3 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

Explainable Neutrosophic Knowledge Distillation Model for Ocular Disease Classification Using Ultra-Wide Field Fundus Images. [PDF]

Bioengineering (Basel)
Sobahi N, Akpınar MH, Özçelik STA, Sengur A.   +3 more
europepmc   +1 more source

Monitoring and assessment for obstructive sleep apnea

FlexMat, EarlyView.
This review systematically classifies Obstructive Sleep Apnea (OSA) monitoring indicators into three categories: physical, biochemical, and electrophysiological indicators, and lists several methods for each category. Abstract Obstructive sleep apnea (OSA) is a common chronic sleep‐disordered breathing disease characterized by recurrent upper airway ...
Yaowen Xu, Feifei Lin, Shujiao Chen, Zhen You, Shujing Zhu, Weiwei Zhao, Qiang Zhao   +6 more
wiley   +1 more source

Explainable clustering and ranking of student satisfaction in online learning: a hybrid FAHP-TOPSIS and SHAP-LIME approach. [PDF]

Sci Rep
Sharmin S, Chowdhury SJ, Tasnim F, Mahmud T, Alam ME, Hossain MS, Andersson K.   +6 more
europepmc   +1 more source