Dynamic Prediction Method for Ground Settlement of Reclaimed Airports Based on Grey System Theory by Ke Ma, He Weng, Zhaojun Luo, Saeed Sarajpoor, Yumin Chen

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A Dynamic Regional-Aggregation-Based Heterogeneous Graph Neural Network for Traffic Prediction by Xiangting Liu, Chengyuan Qian, Xueyang Zhao

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Evaluation of an Innovative Model for Teaching an LLB Program by Helen Saenger, Martin Hayden, Sam Garkawe, Jim Jackson

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Predicting financial default risks: A machine learning approach using smartphone data by Shinta Palupi, Gunawan, Ririn Kusdyawati, Richki Hardi, Rana Zabrina

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A Review of Vessel Time of Arrival Prediction on Waterway Networks: Current Trends, Open Issues, and Future Directions by Abdullah Al Noman, Aaron Heuermann, Stefan Wiesner, Klaus-Dieter Thoben

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QTN mapping, gene prediction, and simulation breeding of four-seed pod numbers in soybean by Ming Yuan, Xu Sun, Zhiyuan Yu, Haoyue Sun, Sheng Dong, Jie Zhang, Bo Hu, Wen-Xia Li, Hailong Ning, Wencheng Lu

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Implementasi Model Pembelajaran Klasik dan Model Pembelajaran Kelompok PAUD Bintang Ananda Botoran Tulungagung by Siti Istatik Choiroyaroh

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Cubic Function-Based Bayesian Dynamic Linear Prediction Approach of Bridge Extreme Stress by Yuefei Liu, Qingkai Xiao, Xueping Fan

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Spatio‐Temporal Comparisons Between Microclimate Species Distribution Models and Mechanistic Models of Potential Surface Activity by Samuel FitzSimons Stickley, John A. Crawford, William E. Peterman, Jennifer M. Fraterrigo

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The outcome prediction method of football matches by the quantum neural network based on deep learning by Yang Sun, Hongyang Chu

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CacPred: a cascaded convolutional neural network for TF-DNA binding prediction by Shuangquan Zhang, Anjun Ma, Xuping Xie, Zhichao Lian, Yan Wang

“…In this study, we demonstrate that CacPred is an effective and feasible model for predicting TF-DNA binding. CacPred is freely available at https://github.com/zhangsq06/CacPred .…”
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Toward Structure Prediction for Short Peptides Using the Improved SAAP Force Field Parameters by Kenichi Dedachi, Taku Shimosato, Toshiya Minezaki, Michio Iwaoka

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Detecting Important Features and Predicting Yield from Defects Detected by SEM in Semiconductor Production by Umberto Amato, Anestis Antoniadis, Italia De Feis, Anastasiia Doinychko, Irène Gijbels, Antonino La Magna, Daniele Pagano, Francesco Piccinini, Easter Selvan Suviseshamuthu, Carlo Severgnini, Andres Torres, Patrizia Vasquez

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Enhancing stroke-associated pneumonia prediction in ischemic stroke: An interpretable Bayesian network approach by Xingyu Liu, Jiali Mo, Zuting Liu, Yanqiu Ge, Tian Luo, Jie Kuang

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Dördüncü Sınıf Beden Eğitimi ve Oyun Dersi Öğretim Programının Değerlendirilmesi by Şirin Filiztekin, Semra Tican Başaran

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Predicting adolescent psychopathology from early life factors: A machine learning tutorial by Faizaan Siddique, Brian K. Lee

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Harnessing artificial intelligence role in oral cancer diagnosis and prediction: A comprehensive exploration by Archana Behera, N. Aravindha Babu, Remya Rajan Renuka, Mukesh Kumar Dharmalingam Jothinathan

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Inverse Design of Plasmonic Nanostructures Using Machine Learning for Optimized Prediction of Physical Parameters by Luana S. P. Maia, Darlan A. Barroso, Aêdo B. Silveira, Waleska F. Oliveira, André Galembeck, Carlos Alexandre R. Fernandes, Dayse G. C. Bandeira, Benoit Cluzel, Auzuir R. Alexandria, Glendo F. Guimarães

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Application of Support Vector Regression in Indonesian Stock Price Prediction with Feature Selection Using Particle Swarm Optimisation by Zuherman Rustam, Puteri Kintandani

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Exploration in association between vitamin D and cutaneous melanoma and explainable machine learning prediction by Lingyi Li, Man Luo

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