Machine Learning–Based Prediction for In‐Hospital Mortality After Acute Intracerebral Hemorrhage Using Real‐World Clinical and Image Data by Koutarou Matsumoto, Kazuaki Ishihara, Katsuhiko Matsuda, Koki Tokunaga, Shigeo Yamashiro, Hidehisa Soejima, Naoki Nakashima, Masahiro Kamouchi

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A prediction nomogram for residual after negative pressure aspiration for endogenic cesarean scar ectopic pregnancy: a retrospective study by Yan Lei, Na Zhang, Yu Liu, Xin Du

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Clinical Decision Support System for Liver Fibrosis Prediction in Hepatitis Patients: A Case Comparison of Two Soft Computing Techniques by Shaker El-Sappagh, Farman Ali, Amjad Ali, Abdeltawab Hendawi, Farid A. Badria, Doug Young Suh

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Predicting tuberculosis drug properties using extended energy based topological indices via a python driven QSPR approach by Kiran Naz, Hafiz Muhammad Bilal, Muhammad Kamran Siddiqui, Sarfraz Ahmad, Mustafa Ahmed Ali

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Multi-condition hawser tension prediction of offshore offloading system based on long and short-term memory network and transfer learning by Xu Zhang, Hao Luo, Hongbin Hao, Yong Ma

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A real-time predicting online tool for detection of people’s emotions from Arabic tweets based on big data platforms by Naglaa Abdelhady, Ibrahim E. Elsemman, Taysir Hassan A. Soliman

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Enhancing safety in surface mine blasting operations with IoT based ground vibration monitoring and prediction system integrated with machine learning by Mangalpady Aruna, Harsha Vardhan, Abhishek Kumar Tripathi, Satyajeet Parida, N. V. Raja Sekhar Reddy, Krishna Moorthy Sivalingam, Li Yingqiu, P. V. Elumalai

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Normalized Difference Vegetation Index Prediction for Blueberry Plant Health from RGB Images: A Clustering and Deep Learning Approach by A. G. M. Zaman, Kallol Roy, Jüri Olt

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Integrating Molecular Dynamics, Molecular Docking, and Machine Learning for Predicting SARS-CoV-2 Papain-like Protease Binders by Ann Varghese, Jie Liu, Tucker A. Patterson, Huixiao Hong

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Enhancing genomic prediction in Arabidopsis thaliana with optimized SNP subset by leveraging gene ontology priors and bin-based combinatorial optimization by Qingfang Ba, Heng Zhou, Zheming Yuan, Zhijun Dai

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Prediction of undernutrition and identification of its influencing predictors among under-five children in Bangladesh using explainable machine learning algorithms. by Md Merajul Islam, Nobab Md Shoukot Jahan Kibria, Sujit Kumar, Dulal Chandra Roy, Md Rezaul Karim

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A Deep Learning Approach for Predicting Aerial Suppressant Drops in Wildland Firefighting Using Automatic Dependent Surveillance–Broadcast Data by Shayne Magstadt, Yu Wei, Bradley M. Pietruszka, David E. Calkin

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Prediction of Potato Rot Level by Using Electronic Nose Based on Data Augmentation and Channel Attention Conditional Convolutional Neural Networks by Jiayu Mai, Haonan Lin, Xuezhen Hong, Zhenbo Wei

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Predictive dynamic multi-flow routing (PD-MFR) algorithm towards sixth generation (6G) software-defined networks by Buse Pehlivan, Volkan Rodoplu, Engincan Tunçay, Dilara Eraslan

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Theory-Driven EEG Indexes for Tracking Motor Recovery and Predicting the Effects of Hybridizing tDCS With Mirror Therapy in Stroke Patients by Chia-Lun Liu, Ken-Hsien Su, Yi-Shiung Horng, Chia-Ling Chen, Shou-Hsien Huang, Ching-Yi Wu

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Errors in Simple Climate Model Emulations of Past and Future Global Temperature Change by L. S. Jackson, A. C. Maycock, T. Andrews, H.‐B. Fredriksen, C. J. Smith, P. M. Forster

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GEOMETRIC MODELS OF MULTI-ANGLE IMAGES AND PROJECTIVE COMPENSATION OF CAMERA MOTION by V. Yu. Tsviatkou

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RMDNet: RNA-aware dung beetle optimization-based multi-branch integration network for RNA–protein binding sites prediction by Jiangbo Zhang, Yunhui Peng, Feifei Cui, Zilong Zhang, Shankai Yan, Qingchen Zhang

“…A downstream case study on YTHDF1 focuses on analyzing interpretable spatial binding patterns, using a large-scale prediction dataset and CLIP-seq peak alignment. The results confirm that the model captures localized binding signals and spatial consistency with experimental annotations. …”
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MEGDTA: multi-modal drug-target affinity prediction based on protein three-dimensional structure and ensemble graph neural network by Zhanwei Hou, Yijun Li, Haixia Zhai, Junwei Luo, Yulian Ding, Yi Pan

“…The key to accurate DTA prediction lies in selecting appropriate computational models to effectively extract features from drug molecular structures and target protein structures. …”
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Risk prediction in diffuse large B-cell lymphoma improves when combining baseline PET features with interim PET response by Jakoba J. Eertink, Martijn W. Heymans, Sanne E. Wiegers, Annelies L. Bes, Ulrich Duhrsen, Andreas Huttmann, Lars Kurch, Sally F. Barrington, George N. Mikhaeel, Pieternella J. Lugtenburg, Luca Ceriani, Emanuele Zucca, Tamas Gyorke, Sandor Czibor, Gerben J.C. Zwezerijnen, Ronald Boellaard, Josee M. Zijlstra, Christine Hanoun

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