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M

Manoj Khandelwal

Ton Duc Thang University

52H指数
212论文数
8.5K被引数
收录论文 88
发表时间
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Toward Practical Rock Mass Classification and Conversion: An Interpretable Data-Driven Framework for Mapping Q-System Parameters to RMR面向实用的岩体分类与转换：一种将Q-System参数映射到RMR的可解释数据驱动框架
errRock Mechanics and Rock Engineering
IF6.6
err2026-09-17
err0
errOAAI
errShuai Huang; Jian Zhou; Manoj Khandelwal; Tawanda Zvarivadza; Mbalenhle Mpanza; Abiodun Ismail Lawal; Moshood Onifade; Xuan-Nam Bui
err分享
err收藏
Physics-Consistent Monotonic Machine Learning for RMR Prediction from Q-System Parameters Under Duplicate-Aware Validation基于重复验证的物理一致性单调机器学习方法用于基于Q系统参数的RMR预测
errRock Mechanics and Rock Engineering
IF6.6
err2026-09-17
err0
errOAAI
errYulin Zhang; Chi Li; Jiehao Gu; Manoj Khandelwal; Tawanda Zvarivadza; Abiodun Ismail Lawal; Moshood Onifade; H. B. Motra; Haihui Xin; Jian Zhou
err分享
err收藏
Harnessing Nigeria’s mineral resources for sustainable infrastructure development: challenges and prospects利用尼日利亚矿产资源促进可持续基础设施建设：挑战与前景
errMineral Economics
IF3.5
err2026-06-22
err0
errOAAI
errOlushola Daniel Eniowo; Moshood Onifade; John Adebisi; Tawanda Zvarivadza; Abiodun Ismail Lawal; Manoj Khandelwal
err分享
err收藏
Assessing Circularity Readiness in Data-Scarce Contexts: A Regional Framework for Environmental Resource Sectors in Vietnam评估数据稀缺背景下循环经济准备就绪性：越南环境资源部门区域框架
errSustainability
IF3.3
err2026-05-20
err0
errOAAI
errXuan-Nam Bui; Manoj Khandelwal; Nga Nguyen; Diep Anh Vu; Anh Hoa Nguyen; Thi Minh Hoa Le
err分享
err收藏
Mine-to-Crusher Optimization: Focusing on Rock Fragmentation and Energy Efficiency矿山至破碎站优化：聚焦岩石破碎与能源效率
errEng
IF2.4
err2026-05-04
err0
PREAI
errXu, Jian; Hosseini, Shahab; Monjezi, Masoud; He, Biao; Jahed Armaghani, Danial; Khandelwal, Manoj
err分享
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Geotechnical Properties and Applications of Iron Ore Tailings-Amended Lateritic Soil for Road Construction铁尾矿改良砖红壤土的工程特性及在道路建设中的应用
errRudarsko-Geolosko-Naftni Zbornik
IF1.1
err2026-01-01
err1
PREAI
errDaramola, Sunday Olabisi; Owolabi, Ayodele Olumuyiwa; Eniowo, Olushola Daniel; Grobler, Hendrik; Onifade, Moshood; Khandelwal, Manoj
err分享
err收藏
Hybrid Machine Learning with Metaheuristic Optimization for Predicting Peak Particle Velocity in Open-Pit Mines混合机器学习与元启发式优化用于预测露天矿峰值颗粒速度
errMining Metallurgy & Exploration
IF2
err2026-01-01
err1
errOAAI
errGu, Jiehao; Zhang, Yulin; Li, Chuanqi; Zhou, Jian; Onifade, Moshood; Khandelwal, Manoj
err分享
err收藏
Ground-Type Classification from Earth-Pressure-Balance Shield Operational Data with Uncertainty Quantification基于不确定度量化的土体类型分类——源自土压平衡盾构机运行数据
errApplied Sciences-Basel
IF2.5
err2025-12-17
err0
errOAAI
errHuang, Shuai; Chen, Yuxin; Khandelwal, Manoj; Zhou, Jian
err分享
err收藏
Graded Evaluation and Optimal Scheme Selection of Mine Rock Diggability Based on the Multidimensional Cloud Model基于多维云模型的矿岩可挖性分级评价及优选方案
errMACHINES
IF2.5
err2025-11-03
err0
errOAAI
errYao, Shibin; Li, Xiaoyuan; Zhou, Jian; Khandelwal, Manoj
err分享
err收藏
Optimising tunnel support design with machine learning models利用机器学习模型优化隧道支护设计
errEnvironmental Earth Sciences
IF2.8
err2025-10-17
err0
errOAAI
errAbiodun Ismail Lawal; Tawanda Zvarivadza; Moshood Onifade; Francois Mulenga; Manoj Khandelwal
err分享
err收藏
Advanced machine learning for pillar stress prediction and design optimisation in hardrock platinum mining: enhancing safety and sustainability on the Great Dyke of Zimbabwe先进机器学习在硬岩铂金矿柱应力预测与设计优化中的应用：提升津巴布韦大岩墙的安全性与可持续性
errGeomechanics and Geophysics for Geo-Energy and Geo-Resources
IF4.2
err2025-10-03
err0
errOAAI
errTawanda Zvarivadza; Hendrik Grobler; Sohan Singh Rajpurohit; Senzeni Moyo; Moshood Onifade; Manoj Khandelwal
err分享
err收藏
Deep learning-powered rock mass classification: Predicting RMR from Q-system parameters with high accuracy深度学习驱动的岩体分类: 从Q系统参数高精度预测RMR
errRock Mechanics Bulletin
IF7
err2025-10-01
err1
errOAAI
errZvarivadza, Tawanda; Lawal, Abiodun Ismail; Onifade, Moshood; Mulenga, Francois; Kwon, Sangki; Khandelwal, Manoj
err分享
err收藏
Interpretable Machine Learning for Predicting Cutting Force of Tunnel Boring Machine: A Study on SVR With Meta-Heuristic Optimization可解释机器学习在隧道掘进机切削力预测中的应用：基于元启发式优化的SVR研究
errInternational Journal for Numerical and Analytical Methods in Geomechanics
IF3.6
err2025-09-19
err0
PREAI
errJian Zhou; Zijian Liu; Chuanqi Li; Kun Du; Manoj Khandelwal
err分享
err收藏
Enhancing tunnel safety with machine learning models for ground behavior prediction利用机器学习模型进行围岩行为预测以提升隧道安全性
errTunnelling and Underground Space Technology
IF7.4
err2025-07-12
err0
errOAAI
errJian Zhou; Yulin Zhang; Yingui Qiu; Kang Peng; Manoj Khandelwal
err分享
err收藏
Predicting the hardgrove grindability index using interpretable decision tree-based machine learning models使用基于可解释决策树的机器学习模型预测hardgrove可磨性指数
errFUEL
IF7.5
err2025-03-01
err0
errOAAI
errChen, Yuxin; Khandelwal, Manoj; Onifade, Moshood; Zhou, Jian; Lawal, Abiodun Ismail; Bada, Samson Oluwaseyi; Genc, Bekir
err分享
err收藏
Stability analysis and prediction of Bimslope failures using numerical modelling and hybrid meta-heuristic models使用数值建模和混合元启发式模型对双边坡破坏进行稳定性分析和预测
errNATURAL HAZARDS
IF3.7
err2025-02-10
err0
errOAAI
errRay, Arunava; Atul, Gopika C.; Sapkota, Sanjog Chhetri; Saha, Prasenjit; Das, Sourav; Rai, Rajesh; Khandelwal, Manoj
err分享
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Knowledge structure and research progress in earthquake-induced liquefaction assessment from 2000 to 2023: A scientometric analysis incorporating domain knowledge地震液化评估2000年2023年的知识结构与研究进展: 结合领域知识的科学计量分析
errSOIL DYNAMICS AND EARTHQUAKE ENGINEERING
IF4.6
err2025-01-01
err0
PREAI
errQi, Hongning; Zhou, Jian; Peng, Kang; Khandelwal, Manoj
err分享
err收藏
Enhancing gas drainage and ventilation efficiency in underground coal mines: A hybrid expert decision approach for booster fan prioritization
errTUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
IF7.4
err2025-01-01
err0
errOAAI
errLawal, Abiodun Ismail; Onifade, Moshood; Kwon, Sangki; Khandelwal, Manoj
err分享
err收藏
Comprehensive review and future perspectives on prediction and mitigation of tunnel-induced ground settlement: A bibliometric analysis and methodological overview (2002-2022)隧道引起的地面沉降的预测和缓解的综合回顾和未来展望: 文献计量分析和方法综述 (2002-2022)
errTUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
IF7.4
err2024-12-01
err0
errOAAI
errZhou, Jian; Qi, Hongning; Peng, Kang; Zhang, Yulin; Khandelwal, Manoj
err分享
err收藏
Predictive modelling for coal abrasive index: Unveiling influential factors through Shallow and Deep Neural Networks煤炭磨蚀指数的预测模型: 通过浅层和深层神经网络揭示影响因素
errFUEL
IF7.5
err2024-10-01
err1
errOAAI
errOnifade, Moshood; Lawal, Abiodun Ismail; Bada, Samson Oluwaseyi; Khandelwal, Manoj
err分享
err收藏

研究方向

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