Results 101 to 110 of about 23,683 (254)

Tree‐Boost–Guided CNN–BiLSTM–Transformer for Solar Irradiance Forecasting: Cross‐Regional Evidence for Sustainable Energy Planning

Energy Science &Engineering, EarlyView.
This graphical abstract illustrates a reproducible pipeline that combines gradient‐boosting‐based feature selection with a CNN–BiLSTM–Transformer model to forecast solar irradiance across multi‐site satellite and ground datasets, delivering robust, high‐accuracy predictions that support sustainable grid planning and reliable PV integration.
Muhammad Farhan Hanif, Usama Hassan, Javid Hussain, Irfan Ali Khan, Yuldasheva Gulora, Syed Masood Arif Bukhari   +5 more
wiley   +1 more source

Hybrid Simulation–Machine Learning Surrogates for Coordinate‐Based Solar and Wind Energy Yield Assessment in Iraq: A Streamlit Decision‐Support Tool

Energy Science &Engineering, EarlyView.
This study integrates climatic simulations with machine learning to predict solar and wind energy across Iraq. Results show Random Forest excels for solar (R2 = 0.98) and neural networks for wind (R2 = 0.97), enabling a practical web tool for renewable energy planning. ABSTRACT Driven by the global shift away from fossil fuels, solar and wind resources
Bassam Musheer Kareem, Abdolsalam Ebrahimpour, Jafar Ghafouri, Roghayyeh Motallebzadeh   +3 more
wiley   +1 more source

Early Feasibility of Registration of Micro‐PET/CT Scans to Annotated 3D Specimen Models

Head &Neck, EarlyView.
ABSTRACT Background Intraoperative 18F‐fluorodeoxyglucose (18F‐FDG) micro‐positron emission tomography/computed tomography (micro‐PET/CT) is an emerging modality for margin assessment. Prior to clinical use, micro‐PET/CT margin distances must be correlated with gold‐standard histopathology.
Joaquin Austerlitz, Andreja Radevic, Ashtyn McAdoo, Kyrionna Golliday, Cheng Ye, Daniel Fabbri, Adam J. Rosenberg, Marcus Balanky, Anas Alabkaa, Kim A. Ely, Mitra Mehrad, Spencer Roark, Eben Rosenthal, Michael C. Topf   +13 more
wiley   +1 more source

High‐Throughput Geocoding to Assess Short‐Term Air Pollution in Correlation With Mortality in a French Cancer Patient Cohort

International Journal of Cancer, EarlyView.
Although chronic air pollution exposure is linked to lung cancer mortality, the short‐term effects of fluctuating air quality on overall cancer mortality remain uncertain. Here, the authors applied geomatics and machine‐learning models to retrospectively examine possible associations between 31‐day pollution exposure and mortality in a French cancer ...
Loice Pokam, Joséphine Bocquet, Nadia Hégarat, Julie Perlbarg‐Samson, Thomas Balezeau, Maud Milder, Bastien Rance, Hector Countouris, Julien Guerin, Flavien Gilles, Jean Gaudart, Nicolas Girard, Clémence Basse   +12 more
wiley   +1 more source

Enhancing agreement in cardiotocography interpretation between midwives and obstetricians through a rule‐based AI program: A comparative cross‐sectional study

International Journal of Gynecology &Obstetrics, EarlyView.
Abstract Objective To evaluate whether a rule‐based artificial intelligence (AI) program can enhance interrater agreement in cardiotocography (CTG) interpretation between nurse–midwives and obstetricians. Methods CTG data from 50 singleton pregnancies at ≥32 weeks of gestation were used to develop a rule‐based AI program based on National Institute of ...
Sriwipa Kaewsrinual, Nutta Homdee, Thanapa Rekhawasin Pinnington, Supitchaya Surasereewong, Pharuhas Chanprapaph   +4 more
wiley   +1 more source

Second‐trimester multimetabolite panel for early preeclampsia rule‐out

International Journal of Gynecology &Obstetrics, EarlyView.
Abstract Objective We aimed to establish a high‐sensitivity, multimetabolite rule‐out model for the development of preeclampsia (PE), prioritizing minimizing false negatives to exclude low‐risk individuals from intensive surveillance confidently. Methods In this prospective, nested case–control study, maternal serum samples were collected between 20+0 ...
Matthews Silva Martins, Julyane N. S. Kaihara, Diego Fortes Salgueiro, Viviane Cunha Cardoso, Silvana Maria Quintana, Ricardo Carvalho Cavalli, Valerio Garrone Barauna, Valeria Cristina Sandrim   +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

A Comprehensive Study to Compare Different Compound Representations for Predicting Carcinogenicity In Vivo

Journal of Applied Toxicology, EarlyView.
ABSTRACT Carcinogenicity evaluation is a critical component of chemical risk assessment, yet traditional in vivo testing remains time consuming, costly, and ethically challenging. Computational approaches based on machine learning offer promising alternatives, but the relative contributions of different molecular representation strategies for ...
Iuri Barbosa Pereira, Rogerio Salvini, Eloisa Dutra Caldas   +2 more
wiley   +1 more source

Automated FRET Analysis for Enhanced Characterization of Protein–Protein Interactions

Microscopy Research and Technique, EarlyView.
A visual summary of the SONLab FRET Tool, displaying the entire workflow—from imaging to the plotting of quantified data. The results provided in this article were obtained using this automated pipeline. ABSTRACT Förster Resonance Energy Transfer (FRET) analysis is a powerful technique for studying protein–protein interactions; however, manual methods ...
Ahmet Zübeyir Nursoy, Orkun Cevheroğlu, Çağdaş Devrim Son   +2 more
wiley   +1 more source

Mapping Fatty Acid Composition in the Human Knee: Short‐Term Repeatability at 3T

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background Alterations in periarticular lipid composition are implicated in musculoskeletal diseases, yet short‐term reliability of MRI‐based triglyceride composition mapping in the knee is not fully established. Purpose To evaluate 1‐week repeatability of proton‐density fat fraction (PDFF) and triglyceride fatty‐acid composition—saturated ...
Dimitri Martel, Anne Adlung, Baptiste Busi, Rollanda Bernadin, Yagni Shah, Thorsten Kirsch, Richard Kijowski, Guillaume Madelin, Amparo Ruiz   +8 more
wiley   +1 more source