Results 221 to 230 of about 2,753,010 (343)

Exploring Quantum Support Vector Regression for Predicting Hydrogen Storage Capacity of Nanoporous Materials

Advanced Intelligent Discovery, EarlyView.
In this study we employed support vector regressor and quantum support vector regressor to predict the hydrogen storage capacity of metal–organic frameworks using structural and physicochemical descriptors. This study presents a comparative analysis of classical support vector regression (SVR) and quantum support vector regression (QSVR) in predicting ...
Chandra Chowdhury
wiley   +1 more source

Artificial Intelligence‐Driven Insights into Electrospinning: Machine Learning Models to Predict Cotton‐Wool‐Like Structure of Electrospun Fibers

Advanced Intelligent Discovery, EarlyView.
Electrospinning allows the fabrication of fibrous 3D cotton‐wool‐like scaffolds for tissue engineering. Optimizing this process traditionally relies on trial‐and‐error approaches, and artificial intelligence (AI)‐based tools can support it, with the prediction of fiber properties. This work uses machine learning to classify and predict the structure of
Paolo D’Elia, Giovanna Pappalardo, Aldo R. Boccaccini, Liliana Liverani   +3 more
wiley   +1 more source

Windows of opportunity for predicting seasonal climate extremes highlighted by the Pakistan floods of 2022. [PDF]

Nat Commun, 2023
Dunstone N, Smith DM, Hardiman SC, Davies P, Ineson S, Jain S, Kent C, Martin G, Scaife AA.   +8 more
europepmc   +1 more source

Corrigendum: Interactive influence of ENSO and IOD on contiguous heatwaves in Australia (2022 Environ. Res. Lett. 17 014004)

Environmental Research Letters, 2022
P Jyoteeshkumar Reddy, Sarah E Perkins-Kirkpatrick, Jason J Sharples   +2 more
doaj   +1 more source

Projected Increases in Climate Extremes Across Global Vertebrate Diversity Hotspots. [PDF]

Glob Chang Biol
van den Bosch M, Costanza JK, Peek RA, Steel ZL.   +3 more
europepmc   +1 more source

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

Racialized Aging in the Context of Climate Extremes: Post-Flood Healthy Aging and Recovery Among Older Adults in Quilombola Communities of Southern Brazil. [PDF]

Int J Environ Res Public Health
Gutiérrez-Murillo RS, Grossi PK, Wagner Leandro GC, Grossi ML.   +3 more
europepmc   +1 more source

Large Language Model‐Based Chatbots in Higher Education

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci, Merve Eryilmaz, Ail K. Yetisen, Savas Tasoglu, Aydogan Ozcan   +4 more
wiley   +1 more source

Globally increased cropland soil exposure to climate extremes in recent decades. [PDF]

Nat Commun
Feng L, Wang Y, Fensholt R, Tong X, Tagesson T, Zhang X, Ardö J, Zhou J, Shao W, Dou Y, Sang Y, Tian F.   +11 more
europepmc   +1 more source

VAE+DDPG: An Attention‐Enhanced Variational Autoencoder for Deep Reinforcement Learning‐Based Autonomous Navigation in Low‐Light Environments

Advanced Intelligent Systems, EarlyView.
Variational Autoencoder+Deep Deterministic Policy Gradient addresses low‐light failures of infrared depth sensing for indoor robot navigation. Stage 1 pretrains an attention‐enhanced Variational Autoencoder (Convolutional Block Attention Module+Feature Pyramid Network) to map dark depth frames to a well‐lit reconstruction, yielding a 128‐D latent code ...
Uiseok Lee, Chanhong Hwang, Hyunseok Kang, Yechan Park, Hangwoo Jin, Tuan Anh Nguyen, Eunmi Choi, Dugki Min   +7 more
wiley   +1 more source