Predicting Nitrous Oxide Emissions from China’s Upland Fields Under Climate Change Scenarios with Machine Learning by Tong Li, Yunpeng Li, Wenxin Cheng, Jufeng Zheng, Lianqing Li, Kun Cheng

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Multi‐Institutional MR‐Derived Radiomics to Predict Post‐Exenteration Disease Recurrence in Patients With T4 Rectal Cancer by Niall J. O'Sullivan, Fariba Tohidinezhad, Hugo C. Temperley, Mirac Ajredini, Bedirye Koyuncu Sokmen, Rumeysa Atabey, Leyla Ozer, Erman Aytac, Alison Corr, Alberto Traverso, James F. Meaney, Michael E. Kelly

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Machine learning for cardio-oncology: predicting global longitudinal strain from conventional echocardiographic measurements in cancer patients by Tagayasu Anzai, Kenji Hirata, Ken Kato, Kohsuke Kudo

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Prediction of outpatient rehabilitation patient preferences and optimization of graded diagnosis and treatment based on XGBoost machine learning algorithm by Xuehui Fan, Ruixue Ye, Yan Gao, Kaiwen Xue, Zeyu Zhang, Jing Xu, Jingpu Zhao, Jun Feng, Yulong Wang

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A study on early diagnosis for fracture non-union prediction using deep learning and bone morphometric parameters by Hui Yu, Qiyue Mu, Zhi Wang, Yu Guo, Jing Zhao, Guangpu Wang, Qingsong Wang, Xianghong Meng, Xiaoman Dong, Shuo Wang, Jinglai Sun

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Machine learning-based prediction of restless legs syndrome using digital phenotypes from wearables and smartphone data by Jingyeong Jeong, Yoonseo Jeon, Hyungju Kim, Ji Won Yeom, Yu-Bin Shin, Sujin Kim, Seung Pil Pack, Heon-Jeong Lee, Taesu Cheong, Chul-Hyun Cho

“…This study aimed to propose a predictive machine learning model based on digital phenotypes for RLS diagnosis. …”
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Predictive value of integrated 18F-FDG PET/MRI in the early response to nivolumab in patients with previously treated non-small cell lung cancer by Yukihiro Umeda, Miwa Morikawa, Masaki Anzai, Shingo Ameshima, Maiko Kadowaki, Yuko Waseda, Hiroko Shigemi, Tetsuya Tsujikawa, Yasushi Kiyono, Hidehiko Okazawa, Tamotsu Ishizuka

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Machine learning methods for predicting essential metabolic genes from Plasmodium falciparum genome-scale metabolic network. by Itunuoluwa Isewon, Stephen Binaansim, Faith Adegoke, Jerry Emmanuel, Jelili Oyelade

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Spatial predictions of soil moisture across a longitudinal gradient in semiarid ecosystems using UAV and RGB sensors by Alexander Hernandez, Efrain Duarte, Peter Porter, Holden Brecht

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Wind Tunnel Process Mach Number Prediction Based on Modal, Stage, and Intra-Stages Three-Layer Partitioning by Haixuan Yuan, Jin Guo, Wenshan Yu, Luping Zhao

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Shelf-life prediction of blondo-based probiotic ice cream using accelerated shelf-life testing method by Rafli Zulfa Kamil, Sri Mulyani, Regina Putri Ikhwani, Ana Wulandari

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Predicting the Impact of Climate Change on Severe Wintertime Particulate Pollution Events in Beijing Using Extreme Value Theory by D. C. Pendergrass, L. Shen, D. J. Jacob, L. J. Mickley

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A novel deep learning-based 1D-CNN-optimized GRU approach for heart disease prediction by Jini Mol G., Ajith Bosco Raj T.

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Predicting the Temperature of a Permanent Magnet Synchronous Motor: A Comparative Study of Artificial Neural Network Algorithms by Nabil El Bazi, Nasr Guennouni, Mohcin Mekhfioui, Adil Goudzi, Ahmed Chebak, Mustapha Mabrouki

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A Comparative Study of Hybrid Adaptive Neuro-Fuzzy Inference Systems to Predict the Unconfined Compressive Strength of Rocks by Annabelle Graham, Emma Scott

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Prediction of antibiotic resistance from antibiotic susceptibility testing results from surveillance data using machine learning by Swetha Valavarasu, Yasaswini Sangu, Tanmaya Mahapatra

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A Supervised Machine Learning-Based Approach for Task Workload Prediction in Manufacturing: A Case Study Application by Valentina De Simone, Valentina Di Pasquale, Joanna Calabrese, Salvatore Miranda, Raffaele Iannone

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Using the particle finite element method for predicting edge-cracking in complex phase high-strength steel sheets by Sandin Olle, Larour Patrick, Rodríguez Juan Manuel, Kajberg Jörgen, Casellas Daniel

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LSTM-based lane change prediction using Waymo open motion dataset: The role of vehicle operating space by Xing Fu, Jun Liu, Zhitong Huang, Alex Hainen, Asad J. Khattak

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An Adaptive BiGRU-ASSA-iTransformer Method for Remaining Useful Life Prediction of Bearing in Aerospace Manufacturing by Youlong Lyu, Qingpeng Qiu, Ying Chu, Jie Zhang

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