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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Predicting support for recolonization of mountain lions (Puma concolor) in the Adirondack park by Elizabeth B. Mcgovern, Heidi E. Kretser

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Functional analysis of the GPAT4 gene mutation predicted to affect splicing by Sergey A. Bursakov, Anastasia V. Kovaleva, Artyom V. Brigida, Oleg G. Zaripov

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An attempt at a molecular prediction of metastasis in patients with primary cutaneous melanoma. by Melanie Gschaider, Friederike Neumann, Bettina Peters, Florian Lenz, Michael Cibena, Malgorzata Goiser, Ingrid Wolf, Jörg Wenzel, Cornelia Mauch, Wolfgang Schreiner, Stephan N Wagner

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Machine learning for predicting Chagas disease infection in rural areas of Brazil. by Fabio De Rose Ghilardi, Gabriel Silva, Thallyta Maria Vieira, Ariela Mota, Ana Luiza Bierrenbach, Renata Fiuza Damasceno, Lea Campos de Oliveira, Alexandre Dias Porto Chiavegatto Filho, Ester Sabino

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A WGAN-GP Approach for Data Imputation in Photovoltaic Power Prediction by Zhu Liu, Lingfeng Xuan, Dehuang Gong, Xinlin Xie, Zhongwen Liang, Dongguo Zhou

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Synchronization-based graph spatio-temporal attention network for seizure prediction by Jie Xiang, Yanan Li, Xubin Wu, Yanqing Dong, Xin Wen, Yan Niu

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Smart Agriculture: Predicting Diseases in olive using Deep Learning Algorithms by Rahman F., Raghatate Kapesh Subhash

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A Novel Hybrid Machine Learning Framework for Wind Speed Prediction by Rhafes Mohamed Yassine, Moussaoui Omar, Raboaca Maria Simona, Mihaltan Traian Candin

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Prediction of Claim Fund Reserves in Insurance Companies Using the ARIMA Method by Goenawan Brotosaputro, Yohanes Setiawan Japriadi, Wiwin Windihastuty, Rivai Ahsani

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Healthcare Prediction Using Novel Machine Learning Methods and Metaheuristic Algorithm by Yazdan Ashgevari, Behrouz Alefy, Faranak Kazemi

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Generative deep learning for predicting ultrahigh lattice thermal conductivity materials by Liben Guo, Yuanbin Liu, Zekun Chen, Hongao Yang, Davide Donadio, Bingyang Cao

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Machine learning for prediction of childhood mental health problems in social care by Ryan Crowley, Katherine Parkin, Emma Rocheteau, Efthalia Massou, Yasmin Friedmann, Ann John, Rachel Sippy, Pietro Liò, Anna Moore

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Predicted thresholds for RMP ELM suppression access in double-null configurations by P. Lunia, A.V. Dudkovskaia, N.C. Logan, N. Leuthold, B.C. Lyons, C. Paz-Soldan, M.W. Shafer

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Empirical Analysis of Honeybees Acoustics as Biosensors Signals for Swarm Prediction in Beehives by Kainat Iqbal, Bayan Alabdullah, Naif Al Mudawi, Asaad Algarni, Ahmad Jalal, Jeongmin Park

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Capacity Estimation and Knee Point Prediction Using Electrochemical Impedance Spectroscopy for Lithium Metal Battery Degradation via Machine Learning by Qianli Si, Shoichi Matsuda, Yasunobu Ando, Toshiyuki Momma, Yoshitaka Tateyama

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Fault Prediction and Reconfiguration Optimization in Smart Grids: AI-Driven Approach by David Carrascal, Paula Bartolomé, Elisa Rojas, Diego Lopez-Pajares, Nicolas Manso, Javier Diaz-Fuentes

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