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Scientific Reports
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July 28, 2025
Estimation of Hankel inequalities of symmetric starlike functions in crescent-shaped domains and their application in image processing
Bushra Kanwal, Arooj Iman, Shamsa Kanwal, et al.
Scientific Reports
|
June 18, 2026
Deep learning-based RUL and SOH prediction of lithium-ion batteries using LOCO
Bisma Ali, Irum Matloob, Nuha Alkhalifa, et al.
BMC Emergency Medicine
|
November 29, 2025
Accuracy is not enough: explainable boosting machine model and identification of candidate biomarkers for real-time sepsis risk assessment in the emergency department
Fatma Hilal Yagin, Umran Aygun, Cemil Colak, et al.
Pharmaceuticals (Basel, Switzerland)
|
November 27, 2025
Machine Learning-Integrated Explainable Artificial Intelligence Approach for Predicting Steroid Resistance in Pediatric Nephrotic Syndrome: A Metabolomic Biomarker Discovery Study
Fatma Hilal Yagin, Feyza Inceoglu, Cemil Colak, et al.
Computers in Biology and Medicine
|
August 11, 2024
Optimizing cancer diagnosis: A hybrid approach of genetic operators and Sinh Cosh Optimizer for tumor identification and feature gene selection
Marwa M Emam, Essam H Houssein, Nagwan Abdel Samee, et al.
Heliyon
|
September 23, 2024
Prairie Dog Optimization Algorithm with deep learning assisted based Aerial Image Classification on UAV imagery
Amal K Alkhalifa, Muhammad Kashif Saeed, Kamal M Othman, et al.
Scientific Reports
|
September 26, 2025
Leveraging hybrid deep learning with starfish optimization algorithm based secure mechanism for intelligent edge computing in smart cities environment
Amal K Alkhalifa, Mohammed Aljebreen, Rakan Alanazi, et al.
Diagnostics (Basel, Switzerland)
|
June 12, 2026
Explainable Boosting Machine in Sepsis Prediction Using Platelet Metabolomics: An Interpretable Machine Learning Approach
Emek Guldogan, Burak Yagin, Yavuz Korkmaz, et al.
International Journal of Molecular Sciences
|
June 26, 2026
Fecal Extracellular Vesicle Metabolomics as a Non-Invasive Biomarker Source in Colorectal Cancer: TPOT AutoML Superiority over Tree-Based Models with SHAP and LIME Clinical Interpretability
Fatma Hilal Yagin, Yavuz Korkmaz, Cemil Colak, et al.
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Search research articles
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Showing results (1-10 of 9) with videos related to
Sort By:
Page
of 1
Scientific Reports
|
July 28, 2025
Estimation of Hankel inequalities of symmetric starlike functions in crescent-shaped domains and their application in image processing
Bushra Kanwal, Arooj Iman, Shamsa Kanwal, et al.
Scientific Reports
|
June 18, 2026
Deep learning-based RUL and SOH prediction of lithium-ion batteries using LOCO
Bisma Ali, Irum Matloob, Nuha Alkhalifa, et al.
BMC Emergency Medicine
|
November 29, 2025
Accuracy is not enough: explainable boosting machine model and identification of candidate biomarkers for real-time sepsis risk assessment in the emergency department
Fatma Hilal Yagin, Umran Aygun, Cemil Colak, et al.
Pharmaceuticals (Basel, Switzerland)
|
November 27, 2025
Machine Learning-Integrated Explainable Artificial Intelligence Approach for Predicting Steroid Resistance in Pediatric Nephrotic Syndrome: A Metabolomic Biomarker Discovery Study
Fatma Hilal Yagin, Feyza Inceoglu, Cemil Colak, et al.
Computers in Biology and Medicine
|
August 11, 2024
Optimizing cancer diagnosis: A hybrid approach of genetic operators and Sinh Cosh Optimizer for tumor identification and feature gene selection
Marwa M Emam, Essam H Houssein, Nagwan Abdel Samee, et al.
Heliyon
|
September 23, 2024
Prairie Dog Optimization Algorithm with deep learning assisted based Aerial Image Classification on UAV imagery
Amal K Alkhalifa, Muhammad Kashif Saeed, Kamal M Othman, et al.
Scientific Reports
|
September 26, 2025
Leveraging hybrid deep learning with starfish optimization algorithm based secure mechanism for intelligent edge computing in smart cities environment
Amal K Alkhalifa, Mohammed Aljebreen, Rakan Alanazi, et al.
Diagnostics (Basel, Switzerland)
|
June 12, 2026
Explainable Boosting Machine in Sepsis Prediction Using Platelet Metabolomics: An Interpretable Machine Learning Approach
Emek Guldogan, Burak Yagin, Yavuz Korkmaz, et al.
International Journal of Molecular Sciences
|
June 26, 2026
Fecal Extracellular Vesicle Metabolomics as a Non-Invasive Biomarker Source in Colorectal Cancer: TPOT AutoML Superiority over Tree-Based Models with SHAP and LIME Clinical Interpretability
Fatma Hilal Yagin, Yavuz Korkmaz, Cemil Colak, et al.
Page
of 1