Results 201 to 210 of about 303,008 (292)

A Hybrid EV Charging Architecture Integrating DC Fast Charging and Wireless Power Transfer

Energy Science &Engineering, EarlyView.
A hybrid EV charging architecture combining DC fast charging and wireless power transfer is proposed. The system achieves high efficiency, grid compliance, and reliable bidirectional operation, offering a scalable solution that enhances user convenience while paving the way for smarter, future‐ready EV charging infrastructure.
Ali Almaktoof, Mohamad Taha, Marco Adonis, Kareem Halablab   +3 more
wiley   +1 more source

Explainable machine learning using urinary metabolomics to predict pediatric sepsis-associated acute kidney injury: a two-center prospective observational study. [PDF]

Ren Fail
Qian Y, Jiang Z, Miao H, Chu L, Zeng J, Fan M, Gu W, Wu M, Xu F, Ge X.   +9 more
europepmc   +1 more source

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

A pipeline leakage detection method for boiler energy operation system using enhanced SVM-based acoustic emission technology. [PDF]

Sci Rep
Yuan T, Zhang X, Zhang Q, Tan M.
europepmc   +1 more source

Fault Detection and Classification in Five‐Level Reduced Device Count Multilevel Inverter Using Fuzzy Logic System

Energy Science &Engineering, EarlyView.
A fuzzy logic–based diagnostic framework for a reduced device count multilevel inverter to accurately detect and classify open‐circuit faults. ABSTRACT The reliable performance of multilevel inverters (MLIs) is critical to the advancement of power electronic systems used in renewable energy conversion, microgrid operation, and electric vehicle ...
Niraj Kumar Dewangan, Jeevan N. D., Krishna Kumar Gupta, Abhinandan Routray, Hani Vahedi   +4 more
wiley   +1 more source

Development and Validation of Predictive Machine Learning Models for Postoperative Recurrence and Microvascular Invasion in Hepatocellular Carcinoma Using Nuclear Magnetic Resonance Metabolomics. [PDF]

J Hepatocell Carcinoma
Tan H, Xu Y, Liu W, Wen Y, Zhang C, Wang C, Chi L, Liao H, Fu S, Cai L, Guo H, Pan M.   +11 more
europepmc   +1 more source

Feasibility of Wind‐Powered Green Hydrogen Production via a Hybrid Graph Neural Network‐Transformer Forecasting Model

Energy Science &Engineering, EarlyView.
ABSTRACT Accurate long‐term wind speed forecasting is pivotal for the strategic planning of renewable energy infrastructure, particularly for assessing the techno‐economic feasibility of wind‐powered green hydrogen facilities. However, capturing the complex spatiotemporal dependencies in climate data remains a significant challenge. This study proposes
Iman Baghaei, Mojtaba Mirhosseini, Alireza Zahedi   +2 more
wiley   +1 more source

Reducing Educational Bias in Cognitive Assessment via Dynamic Support Vector Machine Weighting: Validation Study on an Education-Stratified Dataset. [PDF]

JMIR Rehabil Assist Technol
Liu Q, Ma C, Liu M, Chen S, Yu M, Xia L, Zhang Q, Wu M.   +7 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

Advanced flexible brain computer interface materials: From development to application

FlexMat, EarlyView.
This review explores how novel materials coatings are advancing brain‐computer interface (BCI) technology. It describes how these materials help overcome key challenges in signal accuracy, biocompatibility, and device durability. The paper highlights BCI applications in medicine and entertainment, and discusses future trends that could transform human ...
Renquan Guan, Xueying Cheng, Hao Xu, Zheng Lou, Zhao Zhao, Lili Wang   +5 more
wiley   +1 more source