An artificial intelligence model for predicting an appropriate mAs with target exposure indicator for chest digital radiography by Jia-Ru Lin, Tai-Yuan Chen, Yu-Syuan Liang, Jyun-Jie Li, Ming-Chung Chou

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Predicting the Compression Index of Clayey Soils Using a Hybrid Genetic Programming and XGBoost Model by Abolfazl Baghbani, Katayoon Kiany, Hossam Abuel-Naga, Yi Lu

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RETRACTED ARTICLE: Hybrid CNN-LSTM model with efficient hyperparameter tuning for prediction of Parkinson’s disease by Umesh Kumar Lilhore, Surjeet Dalal, Neetu Faujdar, Martin Margala, Prasun Chakrabarti, Tulika Chakrabarti, Sarita Simaiya, Pawan Kumar, Pugazhenthan Thangaraju, Hemasri Velmurugan

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Improvement in the prediction power of an astrocyte genome-scale metabolic model using multi-omic data by Andrea Angarita-Rodríguez, Andrea Angarita-Rodríguez, Andrea Angarita-Rodríguez, Nicolás Mendoza-Mejía, Nicolás Mendoza-Mejía, Janneth González, Jason Papin, Jason Papin, Jason Papin, Andrés Felipe Aristizábal, Andrés Pinzón

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Construction of crown profile prediction model of Pinus yunnanensis based on CNN-LSTM-attention method by Longfeng Deng, Jianming Wang, Jiting Yin, Yuling Chen, Baoguo Wu

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Improving generalization in slope movement prediction using sequential models and hierarchical transformer predictor autoencoder by Praveen Kumar, Priyanka Priyanka, K. V. Uday, Varun Dutt

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Development and validation of a risk prediction model for acute kidney injury in coronary artery disease by Ming Ye, Chang Liu, Duo Yang, Hai Gao

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Predicting mortality in critically ill patients with hypertension using machine learning and deep learning models by Ziyang Zhang, Jiancheng Ye

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EL-MTSA: Stock Prediction Model Based on Ensemble Learning and Multimodal Time Series Analysis by Jianlei Kong, Xueqi Zhao, Wenjuan He, Xiaobo Yang, Xuebo Jin

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A Novel Model for Accurate Daily Urban Gas Load Prediction Using Genetic Algorithms by Xi Chen, Feng Wang, Li Xu, Taiwu Xia, Minhao Wang, Gangping Chen, Longyu Chen, Jun Zhou

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Developing a multivariate model for the prediction of concussion recovery in sportspeople: a machine learning approach by Antonio Belli, Vijay Sawlani, David Davies, Kamal Yakoub, Louise C Yates, Elliot Yates, Xuanxuan Li, Yiping Lu

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An Informer-based multi-scale model that fuses memory factors and wavelet denoising for tidal prediction by Peng Lu, Yuchen He, Wenhui Li, Yuze Chen, Ru Kong, Teng Wang

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Hybrid Machine Learning Models for Predicting the Impact of Light Wavelengths on Algal Growth in Freshwater Ecosystems by Himaranga Sumanasekara, Harshi Jayasingha, Gayan Amarasooriya, Narada Dayarathne, Bandita Mainali, Lalantha Senevirathna, Ashoka Gamage, Othmane Merah

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Risk prediction models for pregnancy outcomes in recurrent pregnancy loss: a narrative systematic review by Qiliang Jian, Fangxiang Mu, Kexin Wang, Fang Wang

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Prediction of Vehicle Interior Wind Noise Based on Shape Features Using the WOA-Xception Model by Yan Ma, Hongwei Yi, Long Ma, Yuwei Deng, Jifeng Wang, Yudong Wu, Yuming Peng

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Impact of a multiple oversampling technique-based assessment framework on shallow rockburst prediction models by Guozhu Rao, Guozhu Rao, Yunzhang Rao, Yunzhang Rao, Yangjun Xie, Qiang Huang, Jiazheng Wan, Jiyong Zhang

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A New Algorithm Model Based on Extended Kalman Filter for Predicting Inter-Well Connectivity by Liwen Guo, Zhihong Kang, Shuaiwei Ding, Xuehao Yuan, Haitong Yang, Meng Zhang, Shuoliang Wang

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Modeling and predicting individual variation in COVID-19 vaccine-elicited antibody response in the general population. by Naotoshi Nakamura, Yurie Kobashi, Kwang Su Kim, Hyeongki Park, Yuta Tani, Yuzo Shimazu, Tianchen Zhao, Yoshitaka Nishikawa, Fumiya Omata, Moe Kawashima, Makoto Yoshida, Toshiki Abe, Yoshika Saito, Yuki Senoo, Saori Nonaka, Morihito Takita, Chika Yamamoto, Takeshi Kawamura, Akira Sugiyama, Aya Nakayama, Yudai Kaneko, Yong Dam Jeong, Daiki Tatematsu, Marwa Akao, Yoshitaka Sato, Shoya Iwanami, Yasuhisa Fujita, Masatoshi Wakui, Kazuyuki Aihara, Tatsuhiko Kodama, Kenji Shibuya, Shingo Iwami, Masaharu Tsubokura

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Development and validation of a cardiovascular risk prediction model for Sri Lankans using machine learning. by Chamila Mettananda, Isuru Sanjeewa, Tinul Benthota Arachchi, Avishka Wijesooriya, Chiranjaya Chandrasena, Tolani Weerasinghe, Maheeka Solangaarachchige, Achila Ranasinghe, Isuru Elpitiya, Rashmi Sammandapperuma, Sujeewani Kurukulasooriya, Udaya Ranawaka, Arunasalam Pathmeswaran, Anuradhini Kasturiratne, Nei Kato, Rajitha Wickramasinghe, Prasanna Haddela, Janaka de Silva

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Random forest-based model for the recurrence prediction of borderline ovarian tumor: clinical development and validation by Liheng Yan, Qiulin Ye, Baole Shi, Juanjuan Liu, Yuexin Hu, Ouxuan Liu, Xiao Li, Bei Lin, Yue Qi

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