Indoor Air Quality Prediction in Sick Building Using Machine and Deep Learning: Comparative Analysis by Hayder Qasim Flayyih, Jumana Waleed, Amer M. Ibrahim

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A direct comparison of theory-driven and machine learning prediction of suicide: A meta-analysis. by Katherine M Schafer, Grace Kennedy, Austin Gallyer, Philip Resnik

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A deep ensemble framework for human essential gene prediction by integrating multi-omics data by Xue Zhang, Weijia Xiao, Brent Cochran, Wangxin Xiao

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A Decision Support System for Simulating and Predicting the Impacts of Various Tournament Structures on Tournament Outcomes by Khalid Ruzelan, Yusof Muhammad Mat, Rosli Nurzahidah Che, Nawawi Mohd Kamal Mohd

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Genomic prediction and genetic parameter estimation for unsaturated and saturated fatty acids in Canadian dairy cattle by S. O. Peters, K. Kizilkaya, E. M. Ibeagha-Awemu, X. Zhao

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SFDformer: a frequency-based sparse decomposition transformer for air pollution time series prediction by Zhenkai Qin, Zhenkai Qin, Baozhong Wei, Caifeng Gao, Xiaolong Chen, Hongfeng Zhang, Cora Un In Wong

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Harnessing machine learning for high-entropy alloy catalysis: a focus on adsorption energy prediction by Qi Wang, Yonggang Yao

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Combination of machine learning and Raman spectroscopy for prediction of drug release in targeted drug delivery formulations by Wael A. Mahdi, Adel Alhowyan, Ahmad J. Obaidullah

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A CNN-LSTM-attention based seepage pressure prediction method for Earth and rock dams by Hanqiu Chen, Kui Wang, Mingjie Zhao, Yongjiang Chen, Yujie He

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A Sequential-Interval Optimal Sampling Strategy Based on Reliability Prediction Under Wiener Process by Mengying Ren, Yubin Tian, Xingyu Liu, Furi Guo

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Predicting traffic flow between bike-sharing system stations: A case study of Chicago by Ali Behroozi, Ali Edrisi

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EXPERIMENTAL MODELLING OF MECHANISMS CAUSING OCCURRENCE OF SEISMIC OSCILLATION SOURCES IN CASE OF INTERACTIONS OF UNEVEN SURFACES IN FAULTS by V. V. Ruzhich, E. N. Chernykh, E. I. Ponomareva

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Machine Learning Prediction of Foaming in Anaerobic Co-Digestion from Six Key Process Parameters by Sarah E. Daly, Ji-Qin Ni

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Machine learning for classifying chronic kidney disease and predicting creatinine levels using at-home measurements by Brady Metherall, Anna K. Berryman, Georgia S. Brennan

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Towards a unified framework for single‐cell ‐omics‐based disease prediction through AI by Matteo Barberis, Jinkun Xie

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Experimental Identification of Characteristic Curves of Supersonic Vacuum Ejector and Empirical Prediction of Total Evacuation Time by Llorenç Macia, Robert Castilla, Gustavo Raush, Pedro Javier Gamez-Montero

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A Risk-Optimized Framework for Data-Driven IPO Underperformance Prediction in Complex Financial Systems by Mazin Alahmadi

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Machine learning applications in flood forecasting and predictions, challenges, and way-out in the perspective of changing environment by Vijendra Kumar, Kul Vaibhav Sharma, Nikunj K. Mangukiya, Deepak Kumar Tiwari, Preeti Vijay Ramkar, Upaka Rathnayake

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Risk Factors of Severe Disease and Methods for Clinical Outcome Prediction in Patients with COVID-19 (Review) by S. V. Sokologorskiy, A. M. Ovechkin, I. V. Khapov, M. E. Politov, E. L. Bulanova

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Integration of Gaussian process regression and K means clustering for enhanced short term rainfall runoff modeling by Ozgur Kisi, Salim Heddam, Kulwinder Singh Parmar, Andrea Petroselli, Christoph Külls, Mohammad Zounemat-Kermani

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