MAPM:PolSAR Image Classification with Masked Autoencoder Based on Position Prediction and Memory Tokens by Jianlong Wang, Yingying Li, Dou Quan, Beibei Hou, Zhensong Wang, Haifeng Sima, Junding Sun

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Identifying and Predicting the Lagrangian Coherence of Eddies in the Gulf of Mexico Using Machine Learning and Satellite Observations by Luna Hiron, Olmo Zavala‐Romero, Eric P. Chassignet, Philippe Miron, Bulusu Subrahmanyam

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Using the Hospital Frailty Risk Score to predict length of stay across all adult ages. by Huda Kutrani, Jim Briggs, David Prytherch, Claire Spice

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Optimized machine learning mechanism for big data healthcare system to predict disease risk factor by Venkata Nagaraju Thatha, Silpa Chalichalamala, Udayaraju Pamula, D. Pramodh Krishna, Manjunath Chinthakunta, Srihari Varma Mantena, Shariff Vahiduddin, Ramesh Vatambeti

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Literature review and research progress of coal and gas outburst prediction indicators based on CiteSpace by Yi LIU, Shouqing LU, Kang ZHAO, Congmeng HAO, Yujin QIN, Zhanyou SA, Jie LIU, Yongliang ZHANG, Rong ZHANG

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Trend prediction and influencing factors of the production comparative advantage of China's main apple-producing provinces. by Wenping Ning, Fuhong Zhang, Meiling Zhang

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An Immunogenic Cell Death-Related Gene Signature Predicts the Prognosis and Immune Infiltration of Cervical Cancer by Fangfang Sun, Yuanyuan Sun, Hui Tian

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A Lightweight Transformer-Based Spatiotemporal Analysis Prediction Algorithm for High-Dimensional Meteorological Data by Yinghao Tan, Junfeng Wu, Yihang Liu, Shiyu Shen, Xia Xu, Bin Pan

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Interpretability-guided RNA N6-methyladenosine modification site prediction with invertible neural networks by Guodong Li, Xiaorui Su, Yue Yang, Dongxu Li, Ziwen Cui, Xun Deng, Pengwei Hu, Lun Hu

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Predicting current and future potential distribution of Changnienia amoena in China under global climate change by Xingjian Liu, Qimeng Sun, Tingting Li, Shu’an Wang, Jiahao Shen, Yueqi Sun, Mimi Li

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Predicting soil organic carbon with ensemble learning techniques by using satellite images for precision farming by Shyamal Mundada, Pooja Jain

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Novel approaches in prediction of tensile strain capacity of engineered cementitious composites using interpretable approaches by Alahmari Turki S., Farooq Furqan

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Using weak signals to predict spontaneous breathing trial success: a machine learning approach by Romain Lombardi, Mathieu Jozwiak, Jean Dellamonica, Claude Pasquier

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Do women accurately predict their odds of having a child following planned oocyte cryopreservation? by Matan Friedman, Nadine Jaffe, Daniel Tairy, Maya Torem, Arieh Raziel, Maya Finkelstein, Eran Horowitz, Ariel Weissman, Yossi Mizrachi

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Cardiac Magnetic Resonance Left Atrial Strain in the Prediction of Death, Ischemic Stroke, and Heart Failure by Rungroj Krittayaphong, Kanchalaporn Jirataiporn, Ahthit Yindeengam, Thammarak Songsangjinda

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Enhancing Crop Health: Advanced Machine Learning Techniques for Prediction Disease in Palm Oil Tree by Nandy Manish, Kumar Yalakala Dinesh

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A self-conformation-aware pre-training framework for molecular property prediction with substructure interpretability by Jianbo Qiao, Junru Jin, Ding Wang, Saisai Teng, Junyu Zhang, Xuetong Yang, Yuhang Liu, Yu Wang, Lizhen Cui, Quan Zou, Ran Su, Leyi Wei

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Predicting laboratory solution kit accuracy using artificial intelligence: a data-driven approach by Abdulwahab AL-Deib, Eshraq Alsherif, Husameddin Abuzgaia, Amel Rabti, Ruwaida Rtemi, Salem Elfard, Sheren Njaim

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Evaluating machine learning algorithms for energy consumption prediction in electric vehicles: A comparative study by Izhar Hussain, Kok Boon Ching, Chessda Uttraphan, Kim Gaik Tay, Adil Noor

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Using deep convolutional networks combined with signal processing techniques for accurate prediction of surface quality by Mohammad Zangane, Mohammad Shahbazi, Seyed Ali Niknam

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