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W
Warit Wipulanusat
thammasat school of engineering
22
H指数
107
论文数
1.2K
被引数
0
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57
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发表时间
IF
被引数
An information-theoretic and explainable hybrid extreme learning machine framework for seismic soil liquefaction assessment
基于信息论和可解释性的混合极限学习机框架在地震土壤液化评估中的应用
Earth Science Informatics
IF
3
2026-09-30
0
PRE
AI
Furquan Ahmad; Warit Wipulanusat
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Integrated Three-Dimensional Slope Stability Assessment Under Hydroseismic Loading Using Scoops3D and Hybrid Machine Learning
基于Scoops3D和混合机器学习的考虑水动力耦合荷载的三维边坡稳定性综合评价
Transportation Infrastructure Geotechnology
IF
2.3
2026-09-23
0
PRE
AI
Sumit Kumar; Divesh Ranjan Kumar; Prasoon Kumar; Sushmeeta Rani Lal; Jirapon Sunkpho; Warit Wipulanusat
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Bacillus megaterium-incorporated GGBS geopolymer mortar: Explainable ensemble machine learning, multi-objective optimization, and probabilistic reliability assessment
巨大芽孢杆菌复合矿渣地聚合物砂浆:可解释集成机器学习、多目标优化及概率可靠性评估
Construction and Building Materials
IF
8
2026-07-14
0
PRE
AI
Tipraj Babu; Manikanta Devarangadi; Shanmuga Priya T; Vaageesan U; Warit Wipulanusat; Sarawut Ramjan
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Slope stability analysis of Mount St. Helens slope using Scoops3D and machine learning
使用Scoops3D和机器学习对圣海伦斯火山斜坡的斜坡稳定性进行分析
Transportation Geotechnics
IF
5.5
2026-07-01
0
PRE
AI
Kumar, Sumit; Sunkpho, Jirapon; Kumar, Divesh Ranjan; Wipulanusat, Warit
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An Integrated Ensemble Gradient Boosting and Nature-Inspired Metaheuristic Framework for Swelling Pressure Prediction in Expansive Soils
集成集成梯度提升和自然启发元启发式框架用于膨胀土膨胀压力预测
Transportation Infrastructure Geotechnology
IF
2.3
2026-06-13
0
PRE
AI
Jirapon Sunkpho; Divesh Ranjan Kumar; Manish Kumar; Warit Wipulanusat
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3D reliability assessment of railway embankment under pore-water pressure and seismic loading using supervised machine learning models
基于监督机器学习模型的铁路路堤在孔隙水压力和地震荷载作用下的三维可靠性评估
Modeling Earth Systems and Environment
IF
2.9
2026-05-15
0
PRE
AI
Brijbhan Rao; Divesh Ranjan Kumar; Sumit Kumar; Warit Wipulanusat; Avijit Burman; Lal Bahadur Roy
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Performance Analysis of Lime-Treated Geogrid-Reinforced Silty Sand for Rectangular Footings Using Experimental and Computational Approaches
采用实验和计算方法对石灰改良土工格栅加筋粉质砂土矩形基础性能的分析
Transportation Infrastructure Geotechnology
IF
2.3
2026-05-15
0
PRE
AI
Syed Md Yousuf; Furquan Ahmad; Sufi Md Gulzar; Divesh Ranjan Kumar; Warit Wipulanusat
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Experimental evaluation-based machine learning approach to estimate the volumetric heat capacity of bentonite-based soil mixtures
基于实验评价的机器学习方法估算膨润土基土壤混合物的体积热容
International Communications in Heat and Mass Transfer
IF
6.4
2026-04-24
0
PRE
AI
Pawan Kishor Sah; Divesh Ranjan Kumar; Shiv Shankar Kumar; Manikanta Devarangadi; Warit Wipulanusat
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A Reviewthe Effect of Agro-Industrial Wastes and Fibres on the Properties of Self-Consolidating Concrete for Pavement Applications
农业废弃物和纤维对用于路面应用的自密实混凝土性能的影响综述
International Journal of Pavement Research and Technology
IF
2.5
2026-04-14
0
PRE
AI
Sharanabasava Patil; Manikanta Devarangadi; Warit Wipulanusat
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Effect of nano silica dosage on the performance and durability of high-performance concrete using experimental and AI-based modeling approaches
纳米二氧化硅掺量对高性能混凝土性能和耐久性的影响:基于实验和人工智能建模方法的研究
Journal of Structural Integrity and Maintenance
IF
3.1
2026-04-03
0
PRE
AI
Bharat, Abhinav; Kumar, Rajiv; Kumar, Divesh Ranjan; Wipulanusat, Warit; Kumar, Sanjay
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Optimizing COD removal using machine learning in a UASB-Clariflocculator wastewater treatment system
利用机器学习优化UASB-Clariflocculator废水处理系统中的COD去除
environment, development and sustainability
IF
0
2026-02-25
0
PRE
AI
Saurabh Kumar; Divesh Ranjan Kumar; Abdur Rahman Quaff; Warit Wipulanusat
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Enhancing Slope Stability Assessment Under Seismic Conditions: A Comparative Analysis of Monte Carlo Simulation, Subset Simulation, and a Second-order Reliability Method for Probabilistic Analysis
在地震条件下提升边坡稳定性评估:基于蒙特卡罗模拟、子集模拟和二阶可靠性方法的概率分析比较研究
Transportation Infrastructure Geotechnology
IF
2.3
2026-02-24
0
PRE
AI
Ahmad, Furquan; Kumar, Divesh Ranjan; Wipulanusat, Warit; Samui, Pijush; Mishra, S. S.
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Hybrid Random Forest Advanced Machine Learning with Nature-Inspired Optimization Approaches for Predicting the Embedment Depth of Cantilever Sheet Piles
混合随机森林高级机器学习方法结合自然启发优化算法,用于预测悬臂式板桩的嵌入深度
Transportation Infrastructure Geotechnology
IF
2.3
2026-02-21
0
PRE
AI
Chaiyathawat Boonyong; Warit Wipulanusat; Suraparb Keawsawasvong
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Development of an affordable and eco-friendly composite liner for municipal solid waste landfills using locally available materials and industrial waste: A hybrid experimental–machine learning study
开发一种经济实惠且环保的复合衬垫,用于市政固体废物填埋场,采用当地可获得的材料和工业废料:一项实验-机器学习混合研究
ENGINEERING Structure and Civil Engineering
IF
0
2026-02-18
0
PRE
AI
Rajiv Kumar; Divesh Ranjan Kumar; Sunita Kumari; Warit Wipulanusat
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Integrating machine learning for efficient and safe tunnel design: an analysis of stability load coefficients in circular tunnels
将机器学习应用于高效且安全的隧道设计:圆形隧道稳定性荷载系数的分析
Modeling Earth Systems and Environment
IF
2.9
2026-02-09
0
PRE
AI
Divesh Ranjan Kumar; Warit Wipulanusat; Pradeep Thangavel; Chaiyathawat Boonyong
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Evaluating concrete properties: integrating ultrasonic pulse velocity and machine learning models for strain prediction
评估混凝土性能: 集成超声波脉冲速度和机器学习模型进行应变预测
Journal of Structural Integrity and Maintenance
IF
3.1
2026-02-04
0
PRE
AI
Jirapon Sunkpho; Pradeep Thangavel; Warit Wipulanusat
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Machine learning approach for optimizing pesticide degradation in wastewater using a hybrid approach with ozone treatment and biological degradation
采用臭氧处理与生物降解相结合的混合方法优化废水农药降解的机器学习方法
Green Technologies and Sustainability
IF
0
2026-01-01
4
OA
AI
Khurshid, Saba; Kumar, Saurabh; Kumar, Divesh Ranjan; Quaff, Abdur Rahman; Jha, Ramakar; Wipulanusat, Warit
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Predicting the UCS of Industrial Byproduct-Based CLSM Using Machine Learning and Experiments
CIVIL ENGINEERING JOURNAL-TEHRAN
IF
4.9
2025-11-01
0
PRE
AI
Singh, Chandan K.; Kumar, Divesh R.; Dev, K. Lini; Wipulanusat, Warit
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Predicting the hydraulic conductivity of fly ash-clay landfill liners with interpretable ensemble learning
利用可解释集成学习方法预测粉煤灰-黏土垃圾填埋场防渗层的渗透系数
CLEANER MATERIALS
IF
9
2025-10-01
0
OA
AI
Devarangadi, Manikanta; Ali, Syed Sadath; Madalageri, Praveen Ashok; Biradar, Akash; Kumar, Divesh Ranjan; Wipulanusat, Warit
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Advanced Machine Learning Approaches for Predicting the Embedment Depth of Cantilever Sheet Piles
高级机器学习方法预测悬臂板桩嵌入深度
Transportation Infrastructure Geotechnology
IF
2.3
2025-09-15
0
PRE
AI
Chaiyathawat Boonyong; Warit Wipulanusat; Suraparb Keawsawasvong
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研究方向
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合作学者
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R
Rodney A. Stewart
H 指数: 69 · 论文数: 447
K
Krishna Kumar Yadav
H 指数: 61 · 论文数: 405
A
Aqil Tariq
H 指数: 56 · 论文数: 280
Q
Quoc Bao Pham
H 指数: 54 · 论文数: 258
P
Pijush Samui
H 指数: 50 · 论文数: 386
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