Results 161 to 170 of about 32,664 (261)

Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion

Advanced Intelligent Discovery, EarlyView.
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia, Christian Mark Pelicano   +1 more
wiley   +1 more source

Characterization of carbonaceous aerosol particles emitted by solid fuel combustion in rural areas. [PDF]

Environ Monit Assess
Kheirandish S, Alföldy B, Füri P, Osán J, Farkas Á, Rigler M, Gregorič A, Groma V.   +7 more
europepmc   +1 more source

Cell Segmentation Beyond 2D—A Review of the State‐of‐the‐Art

Advanced Intelligent Discovery, EarlyView.
Cell segmentation underpins many biological image analysis tasks, yet most deep learning methods remain limited to 2D despite the inherently 3D nature of cellular processes. This review surveys segmentation approaches beyond 2D, comparing 2.5D and fully 3D methods, analyzing 31 models and 32 volumetric datasets, and introducing a unified reference ...
Fabian Schmeisser, Haseeb Muhammad, Junaid Younas, Gillian Lovell, Bianca Migliori, Andreas Dengel, Sheraz Ahmed   +6 more
wiley   +1 more source

AI-driven optimization of integrated solar systems for hydrogen production and building energy supply. [PDF]

Sci Rep
Li Z, Ahmed Z, Musa VA, Naik MU, Shaban M, Sadeq AM, Alsayah AM, Louhichi B.   +7 more
europepmc   +1 more source

An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting

Advanced Intelligent Discovery, EarlyView.
Architecture of the proposed large language model (LLM)‐based agent framework for autonomous time series forecasting in thermal power generation systems. The framework operates through a vertical pipeline initiated by natural language queries from users, which are processed by the LLM Agent Core powered by Llama.cpp and a ReAct loop with persistent ...
William Gouvêa Buratto, Gabriel Villarrubia Gonzalez, Ademir Nied, Laio Oriel Seman, Anne Carolina Rodrigues Klaar, Stefano Frizzo Stefenon   +5 more
wiley   +1 more source

Hybrid deep learning and RSM modeling of diesel engine performance using TiO₂ doped butanol and waste plastic oil blends. [PDF]

Sci Rep
Sunil Kumar K, Ali ABM, Razak A, Anqi AE, Rajhi AA, Emma AF, Khan MA.   +6 more
europepmc   +1 more source

A Review on Recent Trends of Bioinspired Soft Robotics: Actuators, Control Methods, Materials Selection, Sensors, Challenges, and Future Prospects

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This article reviews the current state of bioinspired soft robotics. The article discusses soft actuators, soft sensors, materials selection, and control methods used in bioinspired soft robotics. It also highlights the challenges and future prospects of this field.
Abhirup Sarker, Tamzid Ul Islam, Md. Robiul Islam   +2 more
wiley   +1 more source

Rethinking energy transition strategies for the European Union amid rising energy prices. [PDF]

Proc Natl Acad Sci U S A
Meng W, Nieto J, Guan D, Meng J, Sander R, Pöschl U, Hubacek K, Su H, Tao S, Cheng Y.   +9 more
europepmc   +1 more source

Predicting Performance of Hall Effect Ion Source Using Machine Learning

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This study introduces HallNN, a machine learning tool for predicting Hall effect ion source performance using a neural network ensemble trained on data generated from numerical simulations. HallNN provides faster and more accurate predictions than numerical methods and traditional scaling laws, making it valuable for designing and optimizing Hall ...
Jaehong Park, Guentae Doh, Dongho Lee, Youngho Kim, Changmin Shin, Su‐Jin Shin, Young‐Chul Ghim, Sanghoo Park, Wonho Choe   +8 more
wiley   +1 more source

Predicting Catalyst Performance From Pt/CeO2 Redispersion Kinetics

Angewandte Chemie, EarlyView.
Unravelling kinetics of dynamic structural changes in catalysts is the key to predicting their catalytic properties. ETEM experiments reveal a continuous decrease in Pt particle size on cube‐shaped CeO2 under oxidizing conditions, changing from large nanoparticles to highly dispersed species.
Florian Maurer, Agustin Salcedo, Maria Casapu, David Loffreda, Arik Beck, Paolo Dolcet, Mimoun Aouine, Thierry Epicier, Stephane Loridant, Philippe Vernoux, Carine Michel, Jan‐Dierk Grunwaldt   +11 more
wiley   +2 more sources