Page 47 - Hindi Class - 1.cdr

Faculty oF EnginEEring & tEchnology

Research Consultancy (In Numbers): Nil

Research Publication (2015-2021) :-( Only SCI/Scopus/UGC Care)

1. Anil Kumar Bisht, Ravendra Singh, Rakesh Bhutiani, Ashutosh Bhatt, “An Investigation of Assessment and Modelling the
Water Quality of Rivers Based on Artificial Neural Networks- An Initiative towards the River
2. Ganga”, August 2017 Volume 3 Issue 8 , International Journal on Future Revolution in Computer Science & Communication
Engineering (IJFRSCE) [UGC Approved, 2017], PP: 17 – 23.

3. Anil Kumar Bisht, Ravendra Singh, Rakesh Bhutiani, Ashutosh Bhatt, Krishna Kumar, “Water quality modelling of the
River Ganga using artificial neural network with reference to the various training functions”, Volume 18 (1&2), 2017
Environment Conservation Journal [UGC Approved, 2017], PP: 41-48. ISSN 0972-3099 (Print) 2278-5124 (Online).
4. Anil Kumar Bisht, Ravendra Singh, Rakesh Bhutiani, Ashutosh Bhatt, “Artificial neural network based prediction model
forestimating the water quality of the river Ganga, 3rd International Conference on Advances in Computing,Communication
& Automation (ICACCA) (Fall), 2017, 1-5, IEEE (Scopus).
5. Anil Kumar Bisht, Ravendra Singh, Ashutosh Bhatt, Rakesh Bhutiani, “Development of an Automated Water
6. Quality Classification Model for the river Ganga”, 3rd International Conference on Next Generation Computing
Technologies (NGCT 2017), 30th – 31st Oct 2017, SPRINGER (Scopus).
7. Anil Kumar Bisht, Ravendra Singh, Ashutosh Bhatt, Rakesh Bhutiani, “Application of Predictive Intelligence in Water
Quality Forecasting of the River Ganga Using Support Vector Machines”, Predictive Intelligence Using Big Data and the
Internet of Things. IGI Global, USA. 2018. PP:206-218. doi:10.4018/978-1-5225-6210-8.ch009.
8. Anil Kumar Bisht, Ravendra Singh, Ashutosh Bhatt, Rakesh Bhutiani, “Artificial Neural Network Based Water Quality
Forecasting Model for Ganga River”, International Journal of Engineering and Advanced Technology (IJEAT), ISSN: 2249
– 8958,Volume-8, Issue-6, August 2019, (UGC, Scopus), PP: 2778-2785.
9. Anil Kumar Bisht; Ravendra Singh; Rakesh Bhutiani; Ashutosh Bhatt. “Analysis of Support Vector Machine Model in
Forecasting the One Year Ahead Water Quality of the River Ganga”, International Journal of Aquatic Science (IJAS), 12, 2,
2021 (UGC) , ISSN (Online): 2008-8019, pp. 1987-2001.
10. Anil Kumar Bisht; Ravendra Singh; Rakesh Bhutiani; Ashutosh Bhatt. “Time Series Analysis Of Water Quality Prediction
Model For Rivers Using Machine Learning Approach”, Int. J. of Aquatic Science, 12, 2, 2021 (UGC), ISSN (Online) : 2008-
8019, pp. 2099-2114.
11. Anil Kumar Bisht; Ravendra Singh; Rakesh Bhutiani; Ashutosh Bhatt; Rajendra Kumar Bharti, A Review Of Soft Computing
Techniques In Modelling The Water QualityOf Rivers”, International Journal of Aquatic Science, 12, 2, 2021 (UGC), ISSN
(Online) : 2008-8019, Pages 4576-4587
12. Amit Kumar Verma; Anil Kumar Bisht; Arun Kumar Rastogi, “Human Augmentation Through Applications Of
Technology”,Int. J. of Aquatic Science, 12, 2, 2021 (UGC), ISSN (Online) : 2008-8019, Pages 5026-5041
RESEARCH COMPENDIUM (2015-21)
13. Ankur Dumka; Parag Verma; Parvesh Bansal; Anil Bisht; R.P.S. Gangwar; Anuj Bhardwaj, “Impact Analysis of Lockdown
in COVID-19 on agriculture using Machine Learning Regression model”, “, International Journal of Aquatic Science, 12,
2, 2021 (UGC), ISSN (Online) : 2008-8019, 5049-5060.

Declaration: I hereby declare that above mentioned data are correct and in best of my knowledge.In case of any
discrepancies, I shall be sole responsible.

Dr. Anil Kumar Bisht

34 Mahatma Jyotiba Phule Rohilkhand University, Bareilly, Uttar Pradesh