Machine Learning Based on a Multiparametric and Multiregional Radiomics Signature Predicts Radiotherapeutic Response in Patients with Glioblastoma by Zi-Qi Pan, Shu-Jun Zhang, Xiang-Lian Wang, Yu-Xin Jiao, Jian-Jian Qiu

“…The purpose of this study is to develop and validate a machine learning-based radiomics signature to predict the radiotherapeutic response of GBM patients. …”
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Retracted: Feasibility on the Integrated Teaching Method of Machine Learning Algorithm inside and outside Physical Education Class by International Transactions on Electrical Energy Systems

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Determining Dominant Factors of Vegetation Change with Machine Learning and Multisource Data in the Ganjiang River Basin, China by Zhiming Xia, Kaitao Liao, Liping Guo, Bin Wang, Hongsheng Huang, Xiulong Chen, Xiangmin Fang, Kuiling Zu, Zhijun Luo, Faxing Shen, Fusheng Chen

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BeatProfiler: Multimodal In Vitro Analysis of Cardiac Function Enables Machine Learning Classification of Diseases and Drugs by Youngbin Kim, Kunlun Wang, Roberta I. Lock, Trevor R. Nash, Sharon Fleischer, Bryan Z. Wang, Barry M. Fine, Gordana Vunjak-Novakovic

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Predictive Modeling of Long-Term Care Needs in Traumatic Brain Injury Patients Using Machine Learning by Tee-Tau Eric Nyam, Kuan-Chi Tu, Nai-Ching Chen, Che-Chuan Wang, Chung-Feng Liu, Ching-Lung Kuo, Jen-Chieh Liao

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Comparative Analysis of Machine Learning Models for Predicting Interfacial Bond Strength of Fiber-Reinforced Polymer-Concrete by Miljan Kovačević, Marijana Hadzima-Nyarko, Predrag Petronijević, Tatijana Vasiljević, Miroslav Radomirović

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Enhancing Pipeline Reliability Analysis through Machine Learning: A Focus on Corrosion and Fluid Hammer Effects by Ajinkya Zalkikar, Bimal Nepal, Mani Venkata Rakesh Mutyala, Anika Varshney, Lianne Dsouza, Hazlina Husin, Om Prakash Yadav

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Photometric Selection of Type 1 Quasars in the XMM-LSS Field with Machine Learning and the Disk–Corona Connection by Jian Huang, Bin Luo, W. N. Brandt, Ying Chen, Qingling Ni, Yongquan Xue, Zijian Zhang

“…We utilized the XGBoost machine learning method to select a total of 1591 quasars. …”
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Tropospheric NO₂: Anthropogenic Influence, Global Trends, Satellite Data, and Machine Learning Application by Valeria Ojeda-Castillo, Mario Alfonso Murillo-Tovar, Leonel Hernández-Mena, Hugo Saldarriaga-Noreña, María Elena Vargas-Amado, Enrique J. Herrera-López, Jesús Díaz

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Application of machine learning techniques for warfarin dosage prediction: a case study on the MIMIC-III dataset by Aasim Ayaz Wani, Fatima Abeer

Subjects: “…Machine learning…”
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Accelerating the design and discovery of tribocorrosion-resistant metals by interfacing multiphysics modeling with machine learning and genetic algorithms by Yucong Gu, Kaiwen Wang, Zhengyu Zhang, Yi Yao, Ziming Xin, Wenjun Cai, Lin Li

“…Addressing this complexity, our study develops a novel methodology fusing machine-learning (ML) and genetic algorithm (GA)-based optimization techniques to tailor aluminum-based alloys for enhanced tribocorrosion resistance. …”
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Hybrid machine learning-based 3-dimensional UAV node localization for UAV-assisted wireless networks by Workeneh Geleta Negassa, Demissie J. Gelmecha, Ram Sewak Singh, Davinder Singh Rathee

Subjects: “…Hybrid machine learning…”
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Developing a Prototype Machine Learning Model to Predict Quality of Life Measures in People Living With HIV by Mercadal-Orfila G, Serrano López de las Hazas J, Riera-Jaume M, Herrera-Perez S

Subjects: “…machine-learning in healthcare…”
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Enhancing prediction of wildfire occurrence and behavior in Alaska using spatio-temporal clustering and ensemble machine learning by A. Ahajjam, M. Allgaier, R. Chance, E. Chukwuemeka, J. Putkonen, T. Pasch

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Leveraging machine learning to uncover multi-pathogen infection dynamics across co-distributed frog families by Daniele L. F. Wiley, Kadie N. Omlor, Ariadna S. Torres López, Celina M. Eberle, Anna E. Savage, Matthew S. Atkinson, Lisa N. Barrow

“…In this study, we leverage frozen tissues stored in natural history collections and machine learning techniques to characterize infection dynamics of three generalist pathogens known to cause mortality in frogs. …”
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Survey on Encoding Schemes for Genomic Data Representation and Feature Learning—From Signal Processing to Machine Learning by Ning Yu, Zhihua Li, Zeng Yu

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Research on Information Processing System of Sports Combination Training Model Based on Machine Learning and Neural Network by Songmao Yu, Lei Wang, Tianwei Li

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Intelligence analysis of drug nanoparticles delivery efficiency to cancer tumor sites using machine learning models by Wael A. Mahdi, Adel Alhowyan, Ahmad J. Obaidullah

“…Abstract This study focuses on the use of machine learning (ML) models to predict the biodistribution of nanoparticles in various organs, using a dataset derived from research on nanoparticle behavior for cancer treatment. …”
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Predictive Modeling of Pesticides Reproductive Toxicity in Earthworms Using Interpretable Machine-Learning Techniques on Imbalanced Data by Mihkel Kotli, Geven Piir, Uko Maran

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Improving early prediction of crop yield in Spanish olive groves using satellite imagery and machine learning by M. Isabel Ramos, Juan J. Cubillas, Ruth M. Córdoba, Lidia M. Ortega

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