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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Robust prediction of tool-tissue interaction force using ISSA-optimized BP neural networks in robotic surgery by Yong-Li Yan, Teng Ren, Li Ding, Tiansheng Sun, Shandeng Huang

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Predicting successful extubation in very preterm infants: A case–control study on key respiratory and clinical predictors by Khalid Altirkawi, Alwalid Alteraif, Abobaker Alshathli, Khalid Almoosa, Turki Alshahrani

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Comparing Machine Learning Algorithms to Enhance Volumetric Water Content Prediction in Low-Cost Soil Moisture Sensor by Iman Setiawan, Mohammad Dahlan Th. Musa, Dini Aprilia Afriza, Siti Nur Hafidah

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Skin hyperspectral imaging and machine learning to accurately predict the muscular poly-unsaturated fatty acids contents in fish by Yi-Ming Cao, Yan Zhang, Qi Wang, Ran Zhao, Mingxi Hou, Shuang-Ting Yu, Kai-Kuo Wang, Ying-Jie Chen, Xiao-Qing Sun, Shijing Liu, Jiong-Tang Li

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A Multi-Factor-Fusion Framework for Efficient Prediction of Pedestrian-Level Wind Environment Based on Deep Learning by Zhen-Zhong Hu, Yan-Tao Min, Shuo Leng, Sunwei Li, Jia-Rui Lin

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Data augmentation based on the WGAN-GP with data block to enhance the prediction of genes associated with RNA methylation pathways by Tuo Jiang, Cong Shen, Pingjian Ding, Lingyun Luo

“…The model generating gene samples with PyTorch is available at https://github.com/heyheyheyheyhey1/WGAN-GP_RNA_methylation…”
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Machine learning-driven prediction of immune checkpoint inhibitor responses against cholangiocarcinoma: a bile biopsy perspective by Dengyong Zhang, Xinrui Li, Zhonglin Wang, Jingyuan Fan, Yuhang Yang, Sophia Han, Wanliang Sun, Dongdong Wang, Shuo Zhou, Zhong Liu, Shihao Chen, Yan Yang, Yan Zhu, Zheng Lu

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Prediction of STAS in lung adenocarcinoma with nodules ≤ 2 cm using machine learning: a multicenter retrospective study by Zhan Zhang, Yue Zhao, Yi-Jun Ma, Chuan-Qi Chen, Zhen-Yi Li, Yv-Kai Wang, Si-Jie Zhang, Hai-Ming Li, Yongmeng Li, Yu Tian, Hui Tian

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A Framework for Gold Price Prediction Combining Classical and Intelligent Methods with Financial, Economic, and Sentiment Data Fusion by Gergana Taneva-Angelova, Stefan Raychev, Galina Ilieva

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