Data‐Driven Feature Decomposition Integrated Prediction Model for Dust Concentration in Open‐Pit Mines by Shuangshuang Xiao, Jin Liu, Qing Yang, Zhiguo Chang, Yonggui Zhang

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Comparing the Effectiveness of Artificial Intelligence Models in Predicting Ovarian Cancer Survival: A Systematic Review by Farkhondeh Asadi, Milad Rahimi, Nahid Ramezanghorbani, Sohrab Almasi

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Leveraging Topic Features in Prediction of Social Network Community Evolutions by Rahman Nahi Abid, Hassan Naderi

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Biochemical Oxygen Demand Prediction Based on Three-Dimensional Fluorescence Spectroscopy and Machine Learning by Xu Zhang, Yihao Zhang, Xuanyi Yang, Zhiyun Wang, Xianhua Liu

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Integration of deep learning and railway big data for environmental risk prediction models and analysis of their limitations by Liuhui Quan, Minjie Wang, Lyu Baihang, Zhang Ziwen, Zhang Ziwen, Zhang Ziwen

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Study on an interpretable prediction model for pile bearing capacity based on SHAP and BP neural networks by Shunbo Li, Mingwei Hai, Qi Zhang, Bin Zhou, Miao Wang, Zhuo Zhao

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From Data to Diagnosis: Machine Learning Revolutionizes Epidemiological Predictions by Abdul Aziz Abdul Rahman, Gowri Rajasekaran, Rathipriya Ramalingam, Abdelrhman Meero, Dhamodharavadhani Seetharaman

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Research on deep learning model for stock prediction by integrating frequency domain and time series features by Wenjie Sun, Jianhua Mei, Shengrui Liu, Chunhong Yuan, Jiaxuan Zhao

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Prediction of the Electricity Demand in the Market: An Application of Optimization and Machine Learning by Ahmed Majed Althahabi, Hassan Mohammed Abed, Raed Khalid, Abrar Ryadh, Ali Al Mansor, Kadhum Al-Majdi, Adil Abbas Alwan

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Real-time monitoring to predict depressive symptoms: study protocol by Yu-Rim Lee, Jong-Sun Lee

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Time series prediction for monitoring cardiovascular health in autistic patients by Congsha Ma, Ming Lei

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Comparison of Three Computational Tools for the Prediction of RNA Tertiary Structures by Frank Yiyang Mao, Mei-Juan Tu, Gavin McAllister Traber, Ai-Ming Yu

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How accurately can supervised machine learning model predict a targeted psychiatric disorder? by Haitham Jahrami, Amir H. Pakpour, Waqar Husain, Achraf Ammar, Zahra Saif, Ali Husain Alsalman, Adel Aloffi, Khaled Trabelsi, Seithikurippu R. Pandi-Perumal, Michael V. Vitiello

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A glutamine metabolish-associated prognostic model to predict prognosis and therapeutic responses of hepatocellular carcinoma by Hao Xu, Hui Pan, Lian Fang, Cangyuan Zhang, Chen Xiong, Weiti Cai

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Development of a high-performing, cost-effective and inclusive Afrocentric predictive model for stroke: a meta-analysis approach  by M Nweke, P Oyirinnaya, P Nwoha, SB Mitha, N Mshunqane, N Govender, M Ukwuoma, SC Ibeneme

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Predicting preeclampsia in early pregnancy using clinical and laboratory data via machine learning model by Songchang Chen, Jia Li, Xiao Zhang, Wenqiu Xu, Zhixu Qiu, Siyao Yan, Wenrui Zhao, Zhiguang Zhao, Peirun Tian, Qiang Zhao, Qun Zhang, Weiping Chen, Huahua Li, Xiaohong Ruan, Gefei Xiao, Sufen Zhang, Liqing Hu, Jie Qin, Wuyan Huang, Zhongzhe Li, Shunyao Wang, Rui Zhang, Shang Huang, Xin Wang, Yao Yao, Jian Ran, Danling Cheng, Qi Luo, Teng Pan, Ruyun Gao, Jing Zheng, Yuxuan Wang, Cong Liu, Xianling Cao, Xuanyou Zhou, Naixin Xu, Lanlan Zhang, Xu Han, Haolin Wang, Suihua Feng, Shuyuan Li, Jianguo Zhang, Lijian Zhao, Fengxiang Wei

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Developing a novel layer network structure for a LSTM model to predict mean monthly river streamflow by Amin Gharehbaghi, Redvan Ghasemlounia, Shahaboddin Daneshvar, Farshad Ahmadi

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A Continuous B2b-PPP Model Considering Interruptions in BDS-3 B2b Orbits and Clock Corrections as Well as Signal-in-Space Range Error Residuals by Rui Shang, Zhenhao Xu, Chengfa Gao, Xiaolin Meng, Wang Gao, Qi Liu

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Evaluating the Accuracy of Land-Use Change Models for Predicting Vegetation Loss Across Brazilian Biomes by Macleidi Varnier, Eliseu José Weber

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Nomogram to predict 3 month prognosis of acute ischemic stroke among young adults by Qian He, Qian He, Miaoran Wang, Haoyue Zhu, Ying Xiao, Rui Wen, Xiaoqing Liu, Yangdi Shi, Linzhi Zhang, Bing Xu

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