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Composites with Synergistically Enhanced Thermodynamic and Mechanical Properties for Geothermal Heat Exchangers
Conflict of Interest The authors declare no conflict of interest. References 1 , , , Annu. Rev. Energy Env. 1997, 22, 305. 2 , , , , , Environ. Pollut. 2024, 348, 123815. 3 , , , , , , , , , , , , , Renewable Energy 2024, 120835. 4 , , , , , Use of Geothermal Heat for Crop Drying and Related Agricultural Applications. Final Report, The Futures Group, Glastonbury, CT 1978. 5 , , , , , , Appl. Therm. Eng. 2024, 244, 122618. 6 , , , , J. Pet. Sci. Eng. 2018, 168, 465. 7 , , , , , Energy Effic. 2021, 14, 60.
Prediction of Car Purchase Amount Based on Genetic Algorithm Optimised BP Neural Network Regression Algorithm
Preprint Article Version 1 This version is not peer-reviewed Version 1 : Received: 18 June 2024 / Approved: 19 June 2024 / Online: 19 June 2024 (05:53:39 CEST) Chen, J.; Xu, W.; Wang, J. Prediction of Car Purchase Amount Based on Genetic Algorithm Optimised BP Neural Network Regression Algorithm. Preprints 2024, 2024061304. https://doi.org/10.20944/preprints202406.1304.v1 Chen, J.; Xu, W.; Wang, J.
Machine Learning Models for Cardiovascular Disease Prediction: A Comparative Study
Abstract Cardiovascular diseases (CVDs) pose a significant threat to global public health, affecting individuals across various age groups. Factors such as cholesterol levels, smoking, alcohol consumption, and physical inactivity contribute to their onset and progression. Enhancing our understanding of CVD etiology and informing targeted interventions for disease prevention and management remains a critical challenge.
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