Impacts of an Early Morning Low Earth Orbit Observing Platform in a Future Global Observing Network Scenario by Nikki C. Privé, Bryan M. Karpowicz, Erica L. McGrath-Spangler, Satya Kalluri

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Collaborative Filtering Techniques for Predicting Web Service QoS Values in Static and Dynamic Environments: A Systematic and Thorough Analysis by Ghizlane Khababa, Sadik Bessou, Fateh Seghir, Nor Hazlyna Harun, Abdulaziz S. Almazyad, Pradeep Jangir, Ali Wagdy Mohamed

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Ab initio prediction of specific phospholipid complexes and membrane association of HIV-1 MPER antibodies by multi-scale simulations by Colleen A Maillie, Kiana Golden, Ian A Wilson, Andrew B Ward, Marco Mravic

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Incorporating Behavioral Adaptation of Human Drivers in Predicting Traffic Efficiency of Mixed Traffic: A Case Study of Priority T-Intersections by Nagarjun Reddy, Narayana Raju, Haneen Farah, Serge Hoogendoorn

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Solar Flare Prediction Using Long Short-term Memory (LSTM) and Decomposition-LSTM with Sliding Window Pattern Recognition by Zeinab Hassani, Davud Mohammadpur, Hossein Safari

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Fusion of Sentiment and Market Signals for Bitcoin Forecasting: A SentiStack Network Based on a Stacking LSTM Architecture by Zhizhou Zhang, Changle Jiang, Meiqi Lu

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A Novel Nonlinear Time-Dependent Hazard Extended Intelligent Reliability Prediction Approach for Electric Vehicle Motor Controller by N. S. Raghavendra Rao, A. Chitra, Daki Krishnachaitanya, Maher Al-Greer

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A Novel Aggregated Multiple Imputation Approach for Enhanced Survival Prediction and Classification on Breast Cancer and Lung Cancer Data by P. Deepa, C. Gunavathi

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Outlier Detection and Removal in Multivariate Time Series for a More Robust Machine Learning–based Solar Flare Prediction by Junzhi Wen, Azim Ahmadzadeh, Manolis K. Georgoulis, Viacheslav M. Sadykov, Rafal A. Angryk

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Accelerating density of states prediction in Zn-doped MgO nanoparticles via kernel-optimized weighted k-NN by Hasan Kurban, Parichit Sharma, Mehmet M. Dalkilic, Mustafa Kurban

“…A range of over 60 ML models, including linear models, tree-based ensembles, and neural networks, were evaluated for predictive performance. …”
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Optimized Trust Prediction and Multi-Criteria Framework for Task and Data Collector Selection Using Deep Learning in Ubiquitous Environments by Ahmed A. A. Gad-Elrab

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Leveraging Artificial Intelligence in Public Health: A Comparative Evaluation of Machine-Learning Algorithms in Predicting COVID-19 Mortality by Eric B. Weiser

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Risk assessment score for drug eluting stent restenosis by Z. A. Gabbasov, I. S. Melnikov, S. V. Byazrova, S. G. Kozlov

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Prediction of Soil Organic Carbon Content in <italic>Spartina alterniflora</italic> by Using UAV Multispectral and LiDAR Data by Jiannan He, Yongbin Zhang, Mingyue Liu, Lin Chen, Weidong Man, Hua Fang, Xiang Li, Xuan Yin, Jianping Liang, Wenke Bai, Fuping Li

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Separator equipment performance of iron ore and coal using experimental and ANN-based analysis by Bharath Kumar Shanmugam, Harish Hanumanthappa, Raushan Kumar Singh, C. Durga Prasad, Manish Kumar, Amit Kumar, S. P. Samal, Adham E. Ragab, S. M. Mozammil Hasnain

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A Cement Bond Quality Prediction Method Based on a Wide and Deep Neural Network Incorporating Embedded Domain Knowledge by Rengguang Liu, Jiawei Yu, Luo Liu, Zheng Wang, Shiming Zhou, Zhaopeng Zhu

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Multifactorial analysis of factors influencing elite australian football match outcomes: a machine learning approach by Fahey-Gilmour J., Dawson B., Peeling P., Heasman J., Rogalski B.

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CURRENT ISSUES OF APPLICATION OF FOREIGN EXPERIENCE OF PREDICTING THE ECONOMIC NEEDS IN QUALIFIED PERSONS IN PRACTICE OF GOVERNMENT MANAGEMENT IN RUSSIAN FEDERATION by I. Gorokhova, E. Nikitskaya, N. Sorokina

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A prognostic signature of Glutathione metabolism-associated long non-coding RNAs for lung adenocarcinoma with immune microenvironment insights by Junxi Hu, Junxi Hu, Shuyu Tian, Shuyu Tian, Qingwen Liu, Qingwen Liu, Jiaqi Hou, Jiaqi Hou, Jun wu, Jun wu, Xiaolin Wang, Xiaolin Wang, Yusheng Shu, Yusheng Shu

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Evaluation of Advances in Battery Health Prediction for Electric Vehicles from Traditional Linear Filters to Latest Machine Learning Approaches by Adrienn Dineva

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