iCLIP predicts the dual splicing effects of TIA-RNA interactions. by Zhen Wang, Melis Kayikci, Michael Briese, Kathi Zarnack, Nicholas M Luscombe, Gregor Rot, Blaž Zupan, Tomaž Curk, Jernej Ule

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Machine learning to predict the source of campylobacteriosis using whole genome data. by Nicolas Arning, Samuel K Sheppard, Sion Bayliss, David A Clifton, Daniel J Wilson

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Voltage Trajectory Prediction of Photovoltaic Power Station Based on CNN-GRU by Yuqi FENG, Hui LI, Lijuan LI, Yanbo ZHOU, Mao TAN, Hanmei PENG

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Hybrid strategy enhanced crayfish optimization algorithm for breast cancer prediction by Yu-Jiong Li

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Explainable AI for time series prediction in economic mental health analysis by Ying Yang, Ying Yang, Lifen Wen, Li Li

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Application of machine learning algorithm to predict the behavior of stocks marketed in Brazil by Gabriel Donadio Costa, Rogério João Lunkes

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Protein structural domain-disease association prediction based on heterogeneous networks by Jingpu Zhang, Lianping Deng, Lei Deng

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A short recorded pulse dataset for vascular age prediction in China by Qingfeng Tang, Pengcheng Ding, Guowei Dai, Liangliang Zhang, Guangjun Wang, Benyue Su, Xiaojuan Hu, Ji Cui, Haoyu Qu, Hui An

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Ensemble learning based sustainable approach to rebuilding metal structures prediction by Tetiana Vlasenko, Taras Hutsol, Vitaliy Vlasovets, Szymon Glowacki, Tomasz Nurek, Iryna Horetska, Savelii Kukharets, Yuriy Firman, Olexandra Bilovod

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Ensemble Machine Learning for the Prediction and Understanding of the Refractive Index in Chalcogenide Glasses by Miruna-Ioana Belciu, Alin Velea

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Prediction of tissue rupture from percolation of local strain heterogeneities for diagnostics by Friedrich Schütte, Sabrina Friebe, Denny Böttcher, Michael Andrew Borger, Madlen Uhlemann, Stefan G. Mayr

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Towards the Prediction of Responses to Cancer Immunotherapy: A Multi-Omics Review by Weichu Tao, Qian Sun, Bingxiang Xu, Ru Wang

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Predicting insect migration density and speed in the daytime convective boundary layer. by James R Bell, Prabhuraj Aralimarad, Ka-Sing Lim, Jason W Chapman

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Hybrid extreme learning machine for real-time rate of penetration prediction by Abdelhamid Kenioua, Omar Djebili, Ammar Touati Brahim

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Data-driven prediction of cardiovascular and cerebrovascular diseases in a nationwide study by Sehyun Kim, Beomsang Ryu, Mingee Choi, Sangyon Lee, Jaeyong Shin, Sok Chul Hong

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Evolutionary algorithms for predicting aboveground carbon stocks in mopane woodlands in Mozambique by Severino José Macôo, Evandro Nunes Miranda, Lucas Rezende Gomide

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Accurate V2X traffic prediction with deep learning architectures by Ali R. Abdellah, Ahmed Abdelmoaty, Abdelhamied A. Ateya, Abdelhamied A. Ateya, Ahmed A. Abd El-Latif, Ahmed A. Abd El-Latif, Ammar Muthanna, Ammar Muthanna, Andrey Koucheryavy

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The Integral Method for Predicting the Risk of Post-Endoscopic Retrograde Cholangiopancreatography Pancreatitis by M. I. Turovets, A. S. Popov, A. V. Ekstrem, A. M. Streltsova, O. F. Vorontsov

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The Integration of Internet of Things and Machine Learning for Energy Prediction of Wind Turbines by Christos Emexidis, Panagiotis Gkonis

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ARTIFICIAL LEARNING BASED ON KERNEL SVM FOR THE PREDICTION OF CARDIOVASCULAR DISEASE HYPERTENSION by Patient MUSUBAO SWAMBI, Albert Ntumba Nkongolo, Pierre Kafunda Katalay, Rostin Mabela Matendo Makengo, Eugène Mbuyi Mukendi

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