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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Degradation of Elastomer Damping Component for High-Speed Bearings by Anastasia Gaitanidou, Mario Tränkner, Georgios Iosifidis, Roberto DeSantis, Theofilos Efstathiadis, Anestis Kalfas

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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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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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Societal costs of older adults with low back pain seeking chiropractic care: findings from the BACE-C cohort study by Esther T. Maas, Brenda L. van der Vossen, Johanna M. van Dongen, Alan D. Jenks, Sidney M. Rubinstein

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INTEGRATED FORECASTING AND AGGREGATE PLANNING FOR PRODUCTION OPTIMIZATION: A COMPARATIVE ANALYSIS OF OVERTIME AND SUBCONTRACTING CONTROLS by Sukma Anindita, Rahmadi Yotenka

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Perbandingan Random Forest dan Convolutional Neural Network dalam Memprediksi Peralihan Pelanggan by Dewa Adji Kusuma, Atika Ratna Dewi, Andreas Rony Wijaya

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Identifying developability risks for clinical progression of antibodies using high-throughput in vitro and in silico approaches by Tushar Jain, Todd Boland, Maximiliano Vásquez

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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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ResNet-Driven Joint Decision-Making for VVC Optimization via Gradient Search by Fangmei Liu, Jiyuan Wang, Qiuwen Zhang

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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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Machine Learning Prediction of Henry’s Law Constant for CO₂ in Ionic Liquids and Deep Eutectic Solvents by Dmitriy M. Makarov, Yuliya A. Fadeeva, Arkadiy M. Kolker

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Predicting Pregnant Women’s Abortion: Artificial Neural Network, Wavelet Neural Network and Adaptive Neural Fuzzy Inference System by Amir Hossein Hashemian, Behzad Mahaki, Mansour Rezaei, Leila Solouki, Mohammad Amin Sohrabi Cheqabaleki, Somayeh Sohrabi Cheqabaleki

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Enhancing green bean crop maturity and yield prediction by harnessing the power of statistical analysis, crop records and weather data. by Miranda Y Mortlock, David Carey, Hamish Murray, Peter J Baker, Paul G Corry

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Report on Correlation between Radon Outgassing and Aftershocks Activity along the Bam Fault in Kerman Province of Iran by Abdollah Khorshidi, Jamshid Soltani Nabipour

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Remote Sensing and GIS‐Based Study to Predict Risk Zones for Mosquito‐Borne Diseases in Cuttack District, Odisha, India by Subrata Kumar Palo, Prachi Prava Panda, Debasini Parida, Shikha Taneja Malick, Sanghamitra Pati

“…In the present study, Remote Sensing methods integrated with Geographic Information System (GIS) have been used to predict the risk zones for MBD in Cuttack, a district of Odisha, the eastern state of India. …”
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Racial disparities in continuous glucose monitoring-based 60-min glucose predictions among people with type 1 diabetes. by Helene Bei Thomsen, Livie Yumeng Li, Anders Aasted Isaksen, Benjamin Lebiecka-Johansen, Charline Bour, Guy Fagherazzi, William P T M van Doorn, Tibor V Varga, Adam Hulman

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