日期 影响因子
日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:
–

Retraction Note: Precision biochar yield forecasting employing random forest and XGBoost with Taylor diagram visualization

撤稿声明：采用随机森林和 XGBoost 算法结合泰勒图可视化进行精准生物炭产量预测

期刊:Scientific Reports
影响因子:3.9
doi:10.1038/s41598-026-40191-5
Uppalapati, Sudhakar; Paramasivam, Prabhu; Kilari, Naveen; Chohan, Jasgurpreet Singh; Kanti, Praveen Kumar; Vemanaboina, Harinadh; Dabelo, Leliso Hobicho; Gupta, Rupesh
发表日期：2026
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Energy Sources and Thermal Management Technologies for Electric Vehicle Batteries: A Technical Review

电动汽车电池的能源和热管理技术：技术综述

期刊:Global Challenges
影响因子:6.4
doi:10.1002/gch2.202500083
Rahman, Md Atiqur; Reddy, Gurrala Mohith Venu; Chatterjee, Rajeshwari; Hait, Soumili; Hasnain, S M Mozammil; Paramasivam, Prabhu; Dabelo, Leliso Hobicho
发表日期：2025
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Bayesian-optimized machine learning and experimental study of Al₂O₃-CuO hybrid nanofluid thermal performance in turbulent circular tube flow

基于贝叶斯优化机器学习和实验研究的Al₂O₃-CuO混合纳米流体在湍流圆管流中的热性能

期刊:Scientific Reports
影响因子:3.9
doi:10.1038/s41598-025-23785-3
Kanti, Praveen Kumar; Marulasiddeshi, H B; Said, Nejla Mahjoub; Wanatasanappan, V Vicki; Paramasivam, Prabhu; Dabelo, Leliso Hobicho
发表日期：2025
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Optimizing base fluid composition for PEMFC cooling: A machine learning approach to balance thermal and rheological performance

优化PEMFC冷却基液组成：一种平衡热性能和流变性能的机器学习方法

期刊:Scientific Reports
影响因子:3.9
doi:10.1038/s41598-025-11542-5
Kanti, Praveen Kumar; G, Prashantha Kumar H; Said, Nejla Mahjoub; Wanatasanappan, V Vicki; Paramasivam, Prabhu; Dabelo, Leliso Hobicho
发表日期：2025
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Precision biochar yield forecasting employing random forest and XGBoost with Taylor diagram visualization

利用随机森林和 XGBoost 算法结合泰勒图可视化进行精准生物炭产量预测

期刊:Scientific Reports
影响因子:3.9
doi:10.1038/s41598-025-91450-w
Uppalapati, Sudhakar; Paramasivam, Prabhu; Kilari, Naveen; Chohan, Jasgurpreet Singh; Kanti, Praveen Kumar; Vemanaboina, Harinadh; Dabelo, Leliso Hobicho; Gupta, Rupesh
发表日期：2025
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Digital twin-driven design and testing of laser shock processed aluminum-graphene composites for spacecraft docking tribology

基于数字孪生的激光冲击处理铝-石墨烯复合材料的设计与测试，用于航天器对接摩擦学

期刊:PLoS One
影响因子:2.6
doi:10.1371/journal.pone.0324501
Prashantha Kumar, Hosamane Guruswamy; Kanti, Praveen Kumar; Dishana, Dinesh; Shukla, Pratik; Paramasivam, Prabhu; Dabelo, Leliso Hobicho
发表日期：2025
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