MRI-Based Model for Personalizing Neoadjuvant Treatment in Breast Cancer by Wen Li, Natsuko Onishi, Jessica E. Gibbs, Lisa J. Wilmes, Nu N. Le, Pouya Metanat, Elissa R. Price, Bonnie N. Joe, John Kornak, Christina Yau, Denise M. Wolf, Mark Jesus M. Magbanua, Barbara LeStage, Laura J. van ’t Veer, Angela M. DeMichele, Laura J. Esserman, Nola M. Hylton

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An optimization protocol for MRI examination resource allocation based on demand forecasting and linear programming by Zhongbin Zhou, Hanyu Zhou, Yuanyuan Qiao, Zihan Gao, Ying Yang

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OpenLimbTT, a transtibial residual limb shape model for prosthetics simulation and design: creating a statistical anatomic model using sparse data by Fiona Sunderland, Adam Sobey, Jennifer Bramley, Joshua Steer, Rami Al-Dirini, Cheryl Metcalf, Diana Toderita, Anthony Bull, Ziyun Ding, David Henson, Peter Worsley, Alex Dickinson

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PBMCs gene expression predicts liver fibrosis regression after successful HCV therapy in HIV/HCV-coinfected patients by Ana Virseda-Berdices, Ana Virseda-Berdices, Óscar Brochado-Kith, Óscar Brochado-Kith, Juan Berenguer, Juan Berenguer, Juan Berenguer, Juan González-García, Juan González-García, Juan González-García, Leire Pérez-Latorre, Leire Pérez-Latorre, Leire Pérez-Latorre, Carmen Busca, Carmen Busca, Carmen Busca, Cristina Díez, Cristina Díez, Cristina Díez, Rafael Micán, Rafael Micán, Rafael Micán, Amanda Fernández-Rodríguez, Amanda Fernández-Rodríguez, María Ángeles Jiménez-Sousa, María Ángeles Jiménez-Sousa, Salvador Resino, Salvador Resino

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An Adaptive Variable-Weight Combination Forecasting Method for Energy Product Sales Based on Meta-Learning by Meitian Wang

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Women’s unemployment in urban Ethiopia: bayesian multilevel model approach by Buzuneh Tasfa Marine, Mihiret Genene Zewde

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Dose prediction of CyberKnife Monte Carlo plan for lung cancer patients based on deep learning: robust learning of variable beam configurations by Yuchao Miao, Jiwei Li, Ruigang Ge, Chuanbin Xie, Yaoying Liu, Gaolong Zhang, Mingchang Miao, Shouping Xu

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Short-Term Prediction of the Solar Photovoltaic Power Output Using Nonlinear Autoregressive Exogenous Inputs and Artificial Neural Network Techniques Under Different Weather Condit... by Abdulrahman Th. Mohammad, Wisam A. M. Al-Shohani

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Early prediction of gestational diabetes mellitus based on systematically selected multi-panel biomarkers and clinical accessibility—a longitudinal study of a multi-racial pregnant... by Jiaxi Yang, Yaqi Cao, Fang Qian, Jagteshwar Grewal, David B. Sacks, Zhen Chen, Michael Y. Tsai, Jinbo Chen, Cuilin Zhang

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A machine-learning-enabled approach for bridging multiscale simulations of CNTs/PDMS composites by Yu Lingjie, Zhi Chao, Sun Zhiyuan, Guo Hao, Chen Jianglong, Dong Hanrui, Zhu Mengqiu, Wang Xiaonan

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Collaborative Filtering Techniques for Predicting Web Service QoS Values in Static and Dynamic Environments: A Systematic and Thorough Analysis by Ghizlane Khababa, Sadik Bessou, Fateh Seghir, Nor Hazlyna Harun, Abdulaziz S. Almazyad, Pradeep Jangir, Ali Wagdy Mohamed

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Ab initio prediction of specific phospholipid complexes and membrane association of HIV-1 MPER antibodies by multi-scale simulations by Colleen A Maillie, Kiana Golden, Ian A Wilson, Andrew B Ward, Marco Mravic

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Incorporating Behavioral Adaptation of Human Drivers in Predicting Traffic Efficiency of Mixed Traffic: A Case Study of Priority T-Intersections by Nagarjun Reddy, Narayana Raju, Haneen Farah, Serge Hoogendoorn

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Solar Flare Prediction Using Long Short-term Memory (LSTM) and Decomposition-LSTM with Sliding Window Pattern Recognition by Zeinab Hassani, Davud Mohammadpur, Hossein Safari

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Fusion of Sentiment and Market Signals for Bitcoin Forecasting: A SentiStack Network Based on a Stacking LSTM Architecture by Zhizhou Zhang, Changle Jiang, Meiqi Lu

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A Novel Nonlinear Time-Dependent Hazard Extended Intelligent Reliability Prediction Approach for Electric Vehicle Motor Controller by N. S. Raghavendra Rao, A. Chitra, Daki Krishnachaitanya, Maher Al-Greer

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A Novel Aggregated Multiple Imputation Approach for Enhanced Survival Prediction and Classification on Breast Cancer and Lung Cancer Data by P. Deepa, C. Gunavathi

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Outlier Detection and Removal in Multivariate Time Series for a More Robust Machine Learning–based Solar Flare Prediction by Junzhi Wen, Azim Ahmadzadeh, Manolis K. Georgoulis, Viacheslav M. Sadykov, Rafal A. Angryk

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Accelerating density of states prediction in Zn-doped MgO nanoparticles via kernel-optimized weighted k-NN by Hasan Kurban, Parichit Sharma, Mehmet M. Dalkilic, Mustafa Kurban

“…A range of over 60 ML models, including linear models, tree-based ensembles, and neural networks, were evaluated for predictive performance. …”
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Optimized Trust Prediction and Multi-Criteria Framework for Task and Data Collector Selection Using Deep Learning in Ubiquitous Environments by Ahmed A. A. Gad-Elrab

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