Monitoring and forecasting of land use/land cover (LULC) in Al-Hassa Oasis, Saudi Arabia based on the integration of the Cellular Automata (CA) and the Cellular Automata-Markov Mod... by Ashraf Abdelkarim

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Evaluation of the Desire to Avoid Pregnancy Scale in the UK: a psychometric analysis including predictive validity by Geraldine Barrett, Jennifer Hall, Corinne Rocca

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Fatigue Failure Analysis and Life Prediction of Elliptical Flexible Hinge by Jianjun Wu, Yian Jia, Jihui Luo

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Research on the Prediction of Pipelines Corrosion Rate Based on GA-LSSVM by CHEN Yong-hong, SU Yong-sheng, HU Ping

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Prediction of Reservoir Bank Collapse Based on the Limit Equilibrium Theory by Xuetong Ma, Qipeng Li, Hao Zhang, Debin Gao, Jiao Long, Zhengzheng Li

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Predictive value of machine learning on fracture risk in osteoporosis: a systematic review and meta-analysis by Min Bao, Jianqian Chao, Na Zhang, Yanqian Wu

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Prediction for Various Drought Classes Using Spatiotemporal Categorical Sequences by Rizwan Niaz, Mohammed M. A. Almazah, Xiang Zhang, Ijaz Hussain, Muhammad Faisal

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Load prediction based elastic resource scheduling strategy in Flink by Ziyang LI, Jiong YU, Yuefei WANG, Chen BIAN, Yonglin PU, Yitian ZHANG, Yu LIU

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PREDICTION OF LOAD LIMIT OF BI-MODULUS COMPOSITES LAMINATED STRUCTURE by HUANG ZheFeng, LI Li, YANG ZengQin, SHANG FuLin, HOU DeMen

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Stock Price Prediction Based on Natural Language Processing1 by Xiaobin Tang, Nuo Lei, Manru Dong, Dan Ma

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Development and validation of a nomogram to predict intracranial haemorrhage in neonates by Shuming Xu, Siqi Zhang, Qing Hou, Lijuan Wei, Biao Wang, Juan Bai, Hanzhou Guan, Yong Zhang, Zhiqiang Li

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Prediction of Aerosol Particle Size Distribution Based on Neural Network by Yali Ren, Jiandong Mao, Hu Zhao, Chunyan Zhou, Xin Gong, Zhimin Rao, Qiang Wang, Yi Zhang

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Explainable machine learning for predicting lung metastasis of colorectal cancer by Zhentian Guo, Zongming Zhang, Limin Liu, Yue Zhao, Zhuo Liu, Chong Zhang, Hui Qi, Jinqiu Feng, Peijie Yao

“…Therefore, establishing an effective screening and diagnosis model is paramount. Our study seeks to construct and verify a predictive model utilizing machine learning (ML) that can evaluate the risk of lung metastasis with newly diagnosed colorectal cancer (CRC) using Shapley Additive exPlanations (SHAP). …”
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Classifying Divorce Cases in Iranian Judiciary Courts Using Machine Learning: A Predictive Perspective by Elham Tabrizi, Mohadeseh Farzammehr

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Monitoring and Prediction Analysis of Settlement for the Substation on Soft Clay Foundation by Qingwei Chen, Zhen Yang, Binglei Xue, Zhipeng Wang, Dan Xie

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Robust asphaltene onset pressure prediction using ensemble learning by Jafar Khalighi, Alexey Cheremisin

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Dentition Type as a Determinant of Microbial Load Reduction by Antimicrobial Photodynamic Therapy in Deep Dentin Caries: A Systematic Review and Meta-analysis by Zahra Baghani, Malihe Karrabi, Hossein Assarzadeh

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Prediction of Three-Dimensional Milling Forces Based on Finite Element by Lida Zhu, Chunxia Zhu, Jiaying Pei, Xuebing Li, Wei Wang

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Deformation prediction in innovative implant design with machine learning approaches by Mehmet Onur Yağır, Muhammed Fatih Pekşen, Şaduman Şen, Uğur Şen

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PREDICTS: Projecting Responses of Ecological Diversity in Changing Terrestrial Systems by Georgina Mace, Jorn P. W. Scharlemann, Drew W. Purves, Lawrence Hudson, Tim Newbold, Andy Purvis

“…<p>The PREDICTS project (<a href="http://www.predicts.org.uk/">www.predicts.org.uk</a>) is a three-year NERC-funded project to model and predict at a global scale how local terrestrial diversity responds to human pressures such as land use, land cover, pollution, invasive species and infrastructure. …”
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