Machine Learning for Predicting Postoperative Functional Disability and Mortality Among Older Patients With Cancer: Retrospective Cohort Study by Yuki Hashimoto, Norihiko Inoue, Takuaki Tani, Shinobu Imai

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Multi-parametric MRI-based radiomics nomogram for predicting lymphovascular space invasion in early-stage cervical adenocarcinoma by Ke-Ying Wang, Mei-Ling Xiao, Mei-Ling Xiao, Yu-Han Fang, Yu-Han Fang, Jie-Jun Cheng, Zi-Jing Lin, Ying Li, Jin-Wei Qiang

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DMoVGPE: predicting gut microbial associated metabolites profiles with deep mixture of variational Gaussian Process experts by Qinghui Weng, Mingyi Hu, Guohao Peng, Jinlin Zhu

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Coupling coordination between agricultural carbon emission efficiency and food security in China: The spatial-temporal evolution and prediction. by Xixian Zheng, Wenmei Liao

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Computed tomography based radiomics signature for predicting the expression of vascular endothelial growth factor in pediatric patients with nephroblastoma by Ma Fu, Han Qi, Suyue Zhu, Yan Gao, Yanlin Li, Jian Wu, Dongsheng Zhu

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Effect of Soft Interlayer Dip Angle on the Attenuation and Prediction of Blast-Induced Vibrations in Rock Slopes: An Experimental Study by Sheng Chen, Nan Jiang, Ying Sun, Jian Pan, Liping He, Jianxiong Guo, Jikui Zhang, Zicheng Zhang

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Prediction of thermophysical properties of R-454B based on molecular dynamic simulation and SAFT-based equation of state by Farag M. A. Altalbawy, Fadhil Faez Sead, Ramdevsinh Jhala, T. Ramachandran, Junainah Abd Hamid, Aman Shankhyan, A. Karthikeyan, Dhirendra Nath Thatoi

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ANN and RSM Prediction of Water Uptake of Recycled HDPE Biocomposite Reinforced with Treated Palm Waste W. filifera by Naouri Ladaci, Aziz Saadia, Ahmed Belaadi, Messaouda Boumaaza, Boon Xian Chai, Mahmood M. S. Abdullah, Amar Al-Khawlani, Djamel Ghernaout

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A Spatiotemporal Sequence Prediction Framework Based on Mask Reconstruction: Application to Short-Duration Precipitation Radar Echoes by Zhi Yang, Changzheng Liu, Ping Mei, Lei Wang

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A deep-learning approach to predict reproductive toxicity of chemicals using communicative message passing neural network by Owen He, Daoxing Chen, Yimei Li

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A multi-type programmed cell death gene signature predicts survival and reveals therapeutic targets in osteosarcoma by Chunyang Wu

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Non-Invasive Multivariate Prediction of Human Thermal Comfort Based on Facial Temperatures and Thermal Adaptive Action Recognition by Kangji Li, Fukang Liu, Yanpei Luo, Mushtaque Ali Khoso

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Prediction of 123I-FP-CIT SPECT Results from First Acquired Projections Using Artificial Intelligence by Wadi’ Othmani, Arthur Coste, Dimitri Papathanassiou, David Morland

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A data driven machine learning approach for predicting and optimizing sulfur compound adsorption on metal organic frameworks by Mohsen Shayanmehr, Sepehr Aarabi, Ahad Ghaemi, Alireza Hemmati

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Diagnosing epileptic seizures using combined features from independent components and prediction probability from EEG data by Madiha Khalid, Ali Raza, Adnan Akhtar, Furqan Rustam, Julien Brito Ballester, Carmen Lili Rodriguez, Isabel de la Torre Díez, Imran Ashraf

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Research on an Intelligent Prediction Method for the Carbon Emissions of Prefabricated Buildings During the Construction Stage, Based on Modular Quantification by Yang Yang, Xiaodong Cai, Xinlong Ma, Gang Yao, Ting Lei, Hongbo Tan, Ying Wang

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A novel interpreted deep network for Alzheimer’s disease prediction based on inverted self attention and vision transformer by Wardah Ibrar, Muhammad Attique Khan, Ameer Hamza, Saddaf Rubab, Omar Alqahtani, M. Turki-Hadj Alouane, Sokea Teng, Yunyoung Nam

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A Semi-Supervised-Learning-Aided Explainable Belief Rule-Based Approach to Predict the Energy Consumption of Buildings by Sami Kabir, Mohammad Shahadat Hossain, Karl Andersson

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A Distributed Machine Learning-Based Scheme for Real-Time Highway Traffic Flow Prediction in Internet of Vehicles by Hani Alnami, Imad Mahgoub, Hamzah Al-Najada, Easa Alalwany

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Predicting protein–protein interactions in microbes associated with cardiovascular diseases using deep denoising autoencoders and evolutionary information by Senyu Zhou, Jian Luo, Mei Tang, Chaojun Li, Yang Li, Wenhua He

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