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Nitisha Sharma
Nitisha Sharma
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引用次数
引用次数
年份
Properties of concrete incorporating sand and cement with waste marble powder
DK Ashish, SK Verma, R Kumar, N Sharma
Advances in concrete construction 4 (2), 145, 2016
562016
Assessment of soft computing-based techniques for the prediction of marshall stability of asphalt concrete reinforced with glass fiber
A Upadhya, MS Thakur, N Sharma, P Sihag
International Journal of Pavement Research and Technology 15 (6), 1366-1385, 2022
402022
A review: Sustainable compressive strength properties of concrete mix with replacement by marble powder
N Sharma, M Singh Thakur, PL Goel, P Sihag
Journal of Achievements in Materials and Manufacturing Engineering 98 (1), 2020
212020
Use of waste marble powder as partial replacement in cement sand mix
N Sharma, R Kumar
International Journal of Engineering Research & Technology 4 (5), 501-504, 2015
192015
Machine learning techniques for evaluating concrete strength with waste marble powder
N Sharma, MS Thakur, P Sihag, MA Malik, R Kumar, M Abbas, CA Saleel
Materials 15 (17), 5811, 2022
182022
Assessing waste marble powder impact on concrete flexural strength using Gaussian process, SVM, and ANFIS
N Sharma, MS Thakur, R Kumar, MA Malik, AA Alahmadi, M Alwetaishi, ...
Processes 10 (12), 2745, 2022
162022
Comparative study for deriving stagedischarge–sediment concentration relationships using soft computing techniques
P Sihag, MR Sadikhani, V Vambol, S Vambol, AK Prabhakar, N Sharma
Journal of Achievements in Materials and Manufacturing Engineering 104 (2), 2021
112021
Nanobiomaterials in galenic formulations and cosmetics
TG Singh, N Sharma
William Andrew, 149-174, 2016
112016
Review on use of waste marble powder as partial replacement in concrete mix
N Sharma, R Kumar
SSRG International Journal of Civil Engineering, 2348-8352, 2015
102015
Properties of concrete incorporating waste marble powder as partial substitute of cement and sand
DK Ashish, SK Verma, R Kumar, N Sharma
Proceeding of The 2016 World Congress on The 2016 Structures Congress, 2016
92016
Evaluating flexural strength of concrete with steel fibre by using machine learning techniques
N Sharma, MS Thakur, A Upadhya, P Sihag
Composite Materials and Engineering 3 (3), 201-220, 2021
82021
Prediction of jet impingement solar thermal air collector thermohydraulic performance using soft computing techniques
R Kumar, N Sharma, GH Ngo, AK Yadav, D Lee, T Singh
Case Studies in Thermal Engineering 55, 104144, 2024
62024
Comparison of machine learning algorithms to evaluate strength of concrete with marble powder
N Sharma, A Upadhya, MS Thakur, P Sihag
Advances in materials Research 11 (1), 75-90, 2022
62022
Assessment of flexural strength of concrete with marble powder applying soft computing techniques
N Sharma, MS Thakur, A Upadhya, P Sihag
Journal of Building Pathology and Rehabilitation 8 (1), 4, 2023
32023
Soft computing techniques for assessment of strength of concrete with marble powder
N Sharma, MS Thakur, A Upadhya, P Sihag
Multiscale and Multidisciplinary Modeling, Experiments and Design 6 (1), 81-96, 2023
22023
Strength characteristics of concrete using waste materials
V Kashyap, A Poddar, A Kumar, N Sharma, S Kumar
Materials Today: Proceedings, 2023
22023
Predicting compressive strength of concrete matrix using engineered cementitious composites: A comparative study between ANN and RF models
N Sharma, MS Thakur, V Vambol, S Vambol
Computational technologies in materials science, 207-221, 2021
22021
Machine learning algorithms for evaluating concrete strength using marble powder
N Sharma, MS Thakur, A Upadhya, P Sihag
IOP Conference Series: Earth and Environmental Science 1110 (1), 012058, 2023
12023
Prediction of flexural strength of FRC pavements by soft computing techniques
A Kimteta, MS Thakur, P Sihag, A Upadhya, N Sharma
Archives of Materials Science and Engineering 117 (1), 13-24, 2022
12022
Evaluation of models by soft computing techniques for the prediction of compressive strength of concrete using steel fibre
N Sharma, MS Thakur, A Upadhya, P Sihag
Applications of Computational Intelligence in Concrete Technology, 119-142, 2022
12022
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