Manoj Khandelwal

Publication Activity (10 Years)

Years Active: 2011-2023
Publications (10 Years): 12

Top Topics

Friction Coefficient

Genetic Algorithm

Design Parameters

Top Venues

Neural Comput. Appl.

J. Adv. Eng. Comput.

Publications

Amirhossein Mehrdanesh, Masoud Monjezi, Manoj Khandelwal, Parichehr Bayat
Application of various robust techniques to study and evaluate the role of effective parameters on rock fragmentation. Eng. Comput. 39 (2) (2023)
Jian Zhou, Chao Chen, Manoj Khandelwal, Ming Tao, Chuanqi Li
Novel approach to evaluate rock mass fragmentation in block caving using unascertained measurement model and information entropy with flexible credible identification criterion. Eng. Comput. 38 (5) (2022)
Yong Dai, Manoj Khandelwal, Yingui Qiu, Jian Zhou, Masoud Monjezi, Peixi Yang
A hybrid metaheuristic approach using random forest and particle swarm optimization to study and evaluate backbreak in open-pit blasting. Neural Comput. Appl. 34 (8) (2022)
Yingui Qiu, Jian Zhou, Manoj Khandelwal, Haitao Yang, Peixi Yang, Chuanqi Li
Performance evaluation of hybrid WOA-XGBoost, GWO-XGBoost and BO-XGBoost models to predict blast-induced ground vibration. Eng. Comput. 38 (5) (2022)
Parichehr Bayat, Masoud Monjezi, Amirhossein Mehrdanesh, Manoj Khandelwal
Blasting pattern optimization using gene expression programming and grasshopper optimization algorithm to minimise blast-induced ground vibrations. Eng. Comput. 38 (4) (2022)
Bo Ke, Manoj Khandelwal, Panagiotis G. Asteris, Athanasia D. Skentou, Anna Mamou, Danial Jahed Armaghani
Rock-Burst Occurrence Prediction Based on Optimized Naïve Bayes Models. IEEE Access 9 (2021)
Mahdi Shariati, Danial Jahed Armaghani, Manoj Khandelwal, Jian Zhou, Arameh Eyvaziyan, Majid Khorami
Assessment of Longstanding Effects of Fly Ash and Silica Fume on the Compressive Strength of Concrete Using Extreme Learning Machine and Artificial Neural Network. J. Adv. Eng. Comput. 5 (1) (2021)
Xiufeng Liao, Manoj Khandelwal, Haiqing Yang, Mohammadreza Koopialipoor, Bhatawdekar Ramesh Murlidhar
Effects of a proper feature selection on prediction and optimization of drilling rate using intelligent techniques. Eng. Comput. 36 (2) (2020)
Wusi Chen, Manoj Khandelwal, Bhatawdekar Ramesh Murlidhar, Dieu Tien Bui, Mahmood M. D. Tahir, Javad Katebi
Assessing cohesion of the rocks proposing a new intelligent technique namely group method of data handling. Eng. Comput. 36 (2) (2020)
Manoj Khandelwal, Aminaton Marto, Seyed Alireza Fatemi, Mahyar Ghoroqi, Danial Jahed Armaghani, T. N. Singh, Omid Tabrizi
Implementing an ANN model optimized by genetic algorithm for estimating cohesion of limestone samples. Eng. Comput. 34 (2) (2018)
Manoj Khandelwal, Roohollah Shirani Faradonbeh, Masoud Monjezi, Danial Jahed Armaghani, Muhd Zaimi Bin Abd. Majid, Saffet Yagiz
Function development for appraising brittleness of intact rocks using genetic programming and non-linear multiple regression models. Eng. Comput. 33 (1) (2017)
Manoj Khandelwal, Danial Jahed Armaghani, Roohollah Shirani Faradonbeh, Mohan Yellishetty, Muhd Zaimi Abd. Majid, Masoud Monjezi
Classification and regression tree technique in estimating peak particle velocity caused by blasting. Eng. Comput. 33 (1) (2017)
Manoj Khandelwal
Evaluation of Safe Explosive Charge in Surface Mines using Artificial Neural Network. ICAART (1) (2014)
Masoud Monjezi, Z. Ahmadi, A. Yazdian Varjani, Manoj Khandelwal
Backbreak prediction in the Chadormalu iron mine using artificial neural network. Neural Comput. Appl. 23 (3-4) (2013)
Masoud Monjezi, Mahdi Hasanipanah, Manoj Khandelwal
Evaluation and prediction of blast-induced ground vibration at Shur River Dam, Iran, by artificial neural network. Neural Comput. Appl. 22 (7-8) (2013)
Masoud Monjezi, A. Mehrdanesh, A. Malek, Manoj Khandelwal
Evaluation of effect of blast design parameters on flyrock using artificial neural networks. Neural Comput. Appl. 23 (2) (2013)
P. G. Ranjith, Manoj Khandelwal
Artificial neural network for prediction of air flow in a single rock joint. Neural Comput. Appl. 21 (6) (2012)
A. Bhatnagar, Manoj Khandelwal
An intelligent approach to evaluate drilling performance. Neural Comput. Appl. 21 (4) (2012)
Manoj Khandelwal
Application of an expert system to predict thermal conductivity of rocks. Neural Comput. Appl. 21 (6) (2012)
Manoj Khandelwal, D. Lalit Kumar, Mohan Yellishetty
Application of soft computing to predict blast-induced ground vibration. Eng. Comput. 27 (2) (2011)
Manoj Khandelwal
Blast-induced ground vibration prediction using support vector machine. Eng. Comput. 27 (3) (2011)