Manoj Khandelwal

According to our database, Manoj Khandelwal authored at least 21 papers between 2011 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Application of various robust techniques to study and evaluate the role of effective parameters on rock fragmentation.

Amirhossein Mehrdanesh, Masoud Monjezi, Manoj Khandelwal, Parichehr Bayat

Eng. Comput., April, 2023

2022

A hybrid metaheuristic approach using random forest and particle swarm optimization to study and evaluate backbreak in open-pit blasting.

Yong Dai, Manoj Khandelwal, Yingui Qiu, Jian Zhou, Masoud Monjezi, Peixi Yang

Neural Comput. Appl., 2022

Novel approach to evaluate rock mass fragmentation in block caving using unascertained measurement model and information entropy with flexible credible identification criterion.

Jian Zhou, Chao Chen, Manoj Khandelwal, Ming Tao, Chuanqi Li

Eng. Comput., 2022

Performance evaluation of hybrid WOA-XGBoost, GWO-XGBoost and BO-XGBoost models to predict blast-induced ground vibration.

Yingui Qiu, Jian Zhou, Manoj Khandelwal, Haitao Yang, Peixi Yang, Chuanqi Li

Eng. Comput., 2022

Blasting pattern optimization using gene expression programming and grasshopper optimization algorithm to minimise blast-induced ground vibrations.

Parichehr Bayat, Masoud Monjezi, Amirhossein Mehrdanesh, Manoj Khandelwal

Eng. Comput., 2022

2021

Assessment of Longstanding Effects of Fly Ash and Silica Fume on the Compressive Strength of Concrete Using Extreme Learning Machine and Artificial Neural Network.

Mahdi Shariati, Danial Jahed Armaghani, Manoj Khandelwal, Jian Zhou, Arameh Eyvaziyan, Majid Khorami

J. Adv. Eng. Comput., 2021

Rock-Burst Occurrence Prediction Based on Optimized Naïve Bayes Models.

Bo Ke, Manoj Khandelwal, Panagiotis G. Asteris, Athanasia D. Skentou, Anna Mamou, Danial Jahed Armaghani

IEEE Access, 2021

2020

Effects of a proper feature selection on prediction and optimization of drilling rate using intelligent techniques.

Xiufeng Liao, Manoj Khandelwal, Haiqing Yang, Mohammadreza Koopialipoor, Bhatawdekar Ramesh Murlidhar

Eng. Comput., 2020

Assessing cohesion of the rocks proposing a new intelligent technique namely group method of data handling.

Wusi Chen, Manoj Khandelwal, Bhatawdekar Ramesh Murlidhar, Dieu Tien Bui, Mahmood M. D. Tahir, Javad Katebi

Eng. Comput., 2020

2018

Implementing an ANN model optimized by genetic algorithm for estimating cohesion of limestone samples.

Manoj Khandelwal, Aminaton Marto, Seyed Alireza Fatemi, Mahyar Ghoroqi, Danial Jahed Armaghani, T. N. Singh, Omid Tabrizi

Eng. Comput., 2018

2017

Function development for appraising brittleness of intact rocks using genetic programming and non-linear multiple regression models.

Manoj Khandelwal, Roohollah Shirani Faradonbeh, Masoud Monjezi, Danial Jahed Armaghani, Muhd Zaimi Bin Abd. Majid, Saffet Yagiz

Eng. Comput., 2017

Classification and regression tree technique in estimating peak particle velocity caused by blasting.

Manoj Khandelwal, Danial Jahed Armaghani, Roohollah Shirani Faradonbeh, Mohan Yellishetty, Muhd Zaimi Abd. Majid, Masoud Monjezi

Eng. Comput., 2017

2014

Evaluation of Safe Explosive Charge in Surface Mines using Artificial Neural Network.

Manoj Khandelwal

Proceedings of the ICAART 2014, 2014

2013

Evaluation of effect of blast design parameters on flyrock using artificial neural networks.

Masoud Monjezi, Amirhossein Mehrdanesh, A. Malek, Manoj Khandelwal

Neural Comput. Appl., 2013

Evaluation and prediction of blast-induced ground vibration at Shur River Dam, Iran, by artificial neural network.

Masoud Monjezi, Mahdi Hasanipanah, Manoj Khandelwal

Neural Comput. Appl., 2013

Backbreak prediction in the Chadormalu iron mine using artificial neural network.

Masoud Monjezi, Z. Ahmadi, A. Yazdian Varjani, Manoj Khandelwal

Neural Comput. Appl., 2013

2012

Artificial neural network for prediction of air flow in a single rock joint.

P. G. Ranjith, Manoj Khandelwal

Neural Comput. Appl., 2012

Application of an expert system to predict thermal conductivity of rocks.

Manoj Khandelwal

Neural Comput. Appl., 2012

An intelligent approach to evaluate drilling performance.

A. Bhatnagar, Manoj Khandelwal

Neural Comput. Appl., 2012

2011

Application of soft computing to predict blast-induced ground vibration.

Manoj Khandelwal, D. Lalit Kumar, Mohan Yellishetty

Eng. Comput., 2011

Blast-induced ground vibration prediction using support vector machine.

Manoj Khandelwal

Eng. Comput., 2011