Results 121 to 130 of about 188,249 (289)

Real‐Time Data‐Driven Fault Diagnosis of Photovoltaic Arrays Using an Edge‐Server Machine‐Learning Framework

Energy Science &Engineering, EarlyView.
A real‐time, data‐driven framework detects and classifies photovoltaic array faults using edge sensing and server‐side machine learning. Ensemble tree models achieve near‐perfect accuracy with low latency, enabling practical, low‐cost deployment for reliable PV monitoring and intelligent maintenance.
Premkumar Manoharan, Sowmya Ravichandran, Deepak Kumar Sinha, Chandran Ramakrishnan, Omar Almomani   +4 more
wiley   +1 more source

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

Decentralized Federated Learning for Wind Turbine Bearing Prognostics Under Data Scarcity and Statistical Heterogeneity

Energy Science &Engineering, EarlyView.
This paper proposes a decentralized peer‐to‐peer federated learning framework for wind turbine bearing remaining useful life prediction, introducing a virtual client paradigm in which statistical health indicators serve as independent feature‐level clients—enabling privacy‐preserving collaborative prognostics from a single physical asset under ...
Jihene Sidhom, Lotfi Saidi, Eric Bechhoefer   +2 more
wiley   +1 more source

Investigations on drone-mounted active noise control

Acta Acustica
Although drones have many potential applications including parcel delivery and surveillance, their deployment in urban areas is limited by their noise levels.
Steiner Jonas, Hilgemann Florian, Jax Peter   +2 more
doaj   +1 more source

Intraday Functional PCA Forecasting of Cryptocurrency Returns

Journal of Forecasting, EarlyView.
ABSTRACT We study the functional PCA (FPCA) forecasting method in application to functions of intraday returns on Bitcoin. We show that improved interval forecasts of future return functions are obtained when the conditional heteroscedasticity of return functions is taken into account.
Joann Jasiak, Cheng Zhong
wiley   +1 more source

Health System Factors in Head and Neck Cancer Diagnosis: A HEADSpAcE Consortium Qualitative Study in Glasgow and Montevideo

Head &Neck, EarlyView.
ABSTRACT Background Head and neck cancer (HNC) is a devastating diagnosis, with advanced‐stage disease leading to poorer outcomes. This qualitative study aimed to identify health system factors associated with stage of HNC diagnosis. Methods Qualitative semistructured interviews with HNC patients and clinicians were undertaken in two purposively ...
Grant Creaney, Iván Lyra González, Mauricio Cuello, Mariél de Aquino Goulart, Alex D. McMahon, Claire Paterson, James McCaul, Maja Popovic, Lorenzo Richiardi, Silvia Lopez de Blanc, Maria Paula Curado, Marta Vilensky, HEADSpAcE Consortium, Elmira Ebrahimi, Apiwat Sangphukieo, Hanla A Park, Valerie Gaborieau, Wolfgang Ahrens, Laia Alemany, Lidia MRB Arantes, Jaroslav Betka, Cristina Canova, David I Conway, Mauricio Cuello, Maria Paula Curado, Ana Carolina de Carvalho, Jose Carlos de Oliviera, Mark Gormley, Maryam Hadji, Claire M Healy, Ivana Holcatova, Luis P Kowalski, Pagona Lagiou, Areti Lagiou, Gary J Macfarlane, Sandra Perdomo, Luis Felipe Ribiero Pinto, Jose Roberto V Podesta, Jerry Polesel, Miranda Pring, Hamideh Rashidian, Ricardo R Gama, Lorenzo Richiardi, Max Robinson, Paula A Rodriguez‐Urrego, Sheila C Soares‐Lima, Nicolas Timpson, Marta Vilensky, Sandra V von Zeidler, Tim Waterboer, Kazem Zendehdel, Ariana Znaor, Paul Brennan, James McKay, Shama Virani, Tom Dudding, Roque Adam, Antonio Agudo, Shaymaa F AlWaheidi, Miquel Angel Pavon, Namrah Anwar, Paola Engelmann Arantes, Lisa Arguello, Yubelly Avello, Lucas Avondet, Ana M Baldión‐Elorza, Camila Batista Daniel, Bianca Beraldi, Barbara Berenstein, Patricia Bernal, Natália Bernardino Rodrigues, Josipa Bilic Zimmermann, Marianna G Botta, Jesús Brenes, Nicole Brenner, Carol Brentisci, Catalina Burtica, María L Cabañas, Erick Cantor, Raiany S Carvalho, Andre L Carvalho, Luigi Chiusa, Priscilia Chopard, Qurratulain Chundriger, Omar Clavero, Isabela Costa, Grant Creaney, Cecilia Cuffini, Tauana C Dias, Evandro Duccini de Souza, Lais C Durant, Alberto Escallón, Gisele Aparecida Fernandes, Béatrice Fervers, Valentina Fiano, Frederico Firme Figueira, Regina Furbino Villefort, Manuela Gangemi, Paolo Garzino‐Demo, Mahin Gholipour, Raul Giglio, Mariel A Goulart, Jéssica Graça Sant'Anna, Marek Grega, Anna Clara Gregório Có, Arnau Guasch, Jose A Hakim, David N Hayes, Marco Homero de Sá Santos, Katrina Hurley, Magalí Insfran, Giuseppe C Iorio, Moghira Iqbaluddin Siddiqui, Jannik Johannsen, Martin Kaňa, Jens Peter Klussmann, Evelio Legal, Jeferson Lenzi, Fernando Luiz Dias, Iván Lyra González, Willene Machado Zorzaneli, Ricardo Mai Rocha, Manel Mañós, Priscila Marinho de Abreu, Maryam Marzban, James McCaul, Alex D. McMahon, Carlos Mena, Elismauro F Mendonça, Laura Mendoza, Lorena Meza, Birgitta Michels, Matinair S Mineiro, Chiara Moccia, Pamela Mongelos, Ana L Montealegre‐Páez, Francisca Morey Cortes, Alvaro Muñoz, Andy Ness, Aline B Neves, Marco Oliva, José Carlos de Oliveira, Hernán Ortiz, José Ortiz, Marta Osorio, Vanessa Ospina, Oliviero Ostellino, Mauricio Palau, Claire Paterson, Sonia Paytubi Casabona, Giancarlo Pecorari, David M Pereira, Olivia Pérol, Shahid Pervez, Alicia Pomata, Maja Popovic, Alisson Poveda, Carol P Prado, Kristina M Prager, Guglielmo Ramieri, Juliana NI Rego, Rui M Reis, Helene Renard, Umberto Ricardi, Giuseppe Riva, Frederic Rodilla, Ingrid Rodriguez, María I Rodríguez, Alastair Ross, Pierre‐Eric Roux, Tazeen Saeed Ali, Pierre Saintigny, Juan J Santivañez, Cristóvam Scapultampo‐Neto, Javier Segovia, Agenor Sena, Ricardo Serrano, Shachi J Sharma, Oliver Siefer, Stephanie Smart, Bruna P Sorroche, Cinthia Sosa, Juliana Souza de Oliveira, Antonella Stura, Steven Thomas, Oscar Torres, Sara Tous, Gonzálo Ucross, Adriana Valenzuela, José Roberto Vasconcelos de Podestá, Alex Whitmarsh, Sylvia Wright, Shaymaa Alwaheidi, Paul Brennan, Shama Virani, Al Ross, David I Conway   +196 more
wiley   +1 more source

The importance of gene polymorphism in familial inheritance of endometriosis

International Journal of Gynecology &Obstetrics, EarlyView.
Abstract Objective The study aimed to investigate familial transmission patterns in women with endometriosis by generating a customized single‐nucleotide polymorphism (SNP) array. Methods Patients aged 18–45 who were diagnosed histopathologically with endometriosis were included in the study.
Hale Goksever Celik, Candan Eker, Berivan Guzelbag, Ercan Bastu, Tuba Gunel   +4 more
wiley   +1 more source

Bio‐inspired inorganic/organic semiconductor heterostructure synapses with UV–visible–NIR wavelength‐dependent responses for image recognition

InfoMat, EarlyView.
This study presents a SnSe2/DNTT heterostructure photonic synaptic transistor that exhibits wavelength‐dependent photoresponses and synaptic plasticity. Operating with low energy consumption, the device extends spectral sensitivity from ultraviolet (UV) to near‐infrared (NIR) wavelengths, significantly enhancing neuromorphic computing performance. When
Shuying He, Huaiyu Gao, Junyao Zhang, Hongrong Chang, Zhiyu Zhang, Jianda Xu, Jie Yang, Jia Huang   +7 more
wiley   +1 more source

Machine Learning‐Based Estimation of Reference Evapotranspiration and Crop Coefficients for Wheat Under Diverse Climatic Conditions

Irrigation and Drainage, EarlyView.
ABSTRACT Accurate estimation of reference evapotranspiration (ET0) and crop coefficients (Kc) is critical for irrigation planning, particularly in data‐limited regions where agriculture dominates freshwater consumption. Although machine learning (ML) methods have been widely applied to ET0 and Kc estimation, most studies address these parameters ...
Ilker Angin, Hasan Er, Mete Yaganoglu, Muhammed Sungur Demir, Abdullah Muratoglu   +4 more
wiley   +1 more source

Optimizing feather hydrolysate via machine learning for microbial recycling of waste concrete fines

Journal of Chemical Technology &Biotechnology, EarlyView.
Abstract BACKGROUND The concrete industry faces significant challenges from CO2 emissions and the disposal of waste concrete fines (WCF). Microbially induced calcite precipitation (MICP) can bind WCF into bioconcrete, but the high cost of commercial culture media hinders its application.
Henrietta Ottová, Barbora Malíková, Václav Nežerka, Petr Holeček, Dana Koňáková, Hana Stiborová   +5 more
wiley   +1 more source