Research on shale TOC prediction method based on improved BP neural network by Chaorong Wu, Kaixing Huang, Zhengtao Sun, Yizhen Li, Yong Li, Yuexiang Hao, Zhengxing Sun, Ziqi Wang

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Mechanistic Learning for Predicting Survival Outcomes in Head and Neck Squamous Cell Carcinoma by Kevin Atsou, Anne Auperin, Jôel Guigay, Sébastien Salas, Sebastien Benzekry

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Development and validation of a nomogram for predicting calcification of arteriovenous access in hemodialysis patients by Xueying Li, Xiaocui Wang, Bonan Yan, Yuanke Zhou, Ling Li, Xiaopeng Huang, Qiqi Wang, Enjie Tang

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Predicting postoperative pulmonary infection risk in patients with diabetes using machine learning by Chunxiu Zhao, Bingbing Xiang, Jie Zhang, Pingliang Yang, Qiaoli Liu, Shun Wang

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A deep neural network with attention mechanism for flow prediction of compressor blade by Guanyu Gao, Gang Wang

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Strong El Niño Events Lead to Robust Multi‐Year ENSO Predictability by N. Lenssen, P. DiNezio, L. Goddard, C. Deser, Y. Kushnir, S. J. Mason, M. Newman, Y. Okumura

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Object prediction and detection of ground-based weapon with an improved YOLO11 approach by Hanyul Ryu, Mingyu Park, Dae-Yeol Kim

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Global Prediction of Whitecap Coverage Using Transfer Learning and Satellite-Derived Data by Jinpeng Qi, Yongzeng Yang, Jie Zhang

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Biochemical recurrence prediction after robot-assited radical prostatectomy (BCR-PRARP) by Tanan Bejrananda, Kiyoshi Takahara, Dutsadee Sowanthip, Tomonari Motonaga, Kota Yagi, Wataru Nakamura, Masanobu Saruta, Takuhisa Nukaya, Masashi Takenaka, Kenji Zennami, Manabu Ichino, Hitomi Sasaki, Makoto Sumitomo, Ryoichi Shiroki

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Dynamic risk prediction of survival in liver cirrhosis: A comparison of landmarking approaches. by Mitchell Paukner, Daniela P Ladner, Lihui Zhao

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Optimizing mRNA Vaccine Degradation Prediction via Penalized Dropout Approaches by Hwai Ing Soon, Azian Azamimi Abdullah, Hiromitsu Nishizaki, Latifah Munirah Kamarudin

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A neural network approach to carbon emission prediction in industrial and power sectors by Syed Azeem Inam, Syed Muhammad Hassan Zaidi, Abdullah Ayub Khan, Sajid Ullah

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Deconstructability prediction for building using machine learning and ensemble feature selection techniques by Habeeb Balogun, Hafiz Alaka, Eren Demir, Christian Nnaemeka Egwim, Godoyon Ebenezer Wusu, Wasiu Yusuf, Muideen Adegoke, Iqbal Qasim

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Development a nomogram for predicting HELLP syndrome in women complicated with gestational hypertension by Ying Jiang, Lu-Jiao Chen, Hui-Hui Hu, Neng Jin, Shi-Rui Lv, Chen Fang, Chun-Mei Zhu, Meng-Meng Yang, Dong Xu, Qiong Luo

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DDX21 Is a Potential Biomarker for Predicting Recurrence and Prognosis in Hepatocellular Carcinoma by Chengjie Ji, Qing Zhong, Huilan Su, Xiaoli Xue, Renxiang Yang, Na Li

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Using a Machine Learning Approach to Predict the Thailand Underground Train’s Passenger by Wuttipong Kusonkhum, Korb Srinavin, Narong Leungbootnak, Tanayut Chaitongrat

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Prediction of ‘Gigante’ cactus pear yield by morphological characters and artificial neural networks by Bruno V. C. Guimarães, Sérgio L. R. Donato, Alcinei M. Azevedo, Ignacio Aspiazú, Ancilon A. e Silva Junior

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Predicting the risk of pulmonary embolism in patients with tuberculosis using machine learning algorithms by Haobo Kong, Yong Li, Ya Shen, Jingjing Pan, Min Liang, Zhi Geng, Yanbei Zhang

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Prediction of Metal Additively Manufactured Bead Geometry Using Deep Neural Network by Min Seop So, Mohammad Mahruf Mahdi, Duck Bong Kim, Jong-Ho Shin

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Nonlinear characteristics and prediction of gas and temperature in coal spontaneous combustion oxidation process by Ping ZHAN, Changkui LEI, Renhui CHENG

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