| ARIMA and NAR based prediction model for time series analysis of COVID-19 cases in India FM Khan, R Gupta Journal of Safety Science and Resilience 1 (1), 12-18, 2020 | 187 | 2020 |
| Escherichia coli (E. coli) as an Indicator of Fecal Contamination in Groundwater: A Review FM Khan, R Gupta Sustainable Development of Water and Environment: Proceedings of the …, 2020 | 49 | 2020 |
| Removal of nutrients and other emerging inorganic contaminants from water and wastewater by electrocoagulation process PV Nidheesh, FM Khan, A Kadier, J Akansha, ME Bote, M Mousazadeh Chemosphere 307, 135756, 2022 | 34 | 2022 |
| Projecting the criticality of COVID-19 transmission in India using GIS and machine learning methods FM Khan, A Kumar, H Puppala, G Kumar, R Gupta Journal of Safety Science and Resilience 2 (2), 50-62, 2021 | 28 | 2021 |
| Superposition learning-based model for prediction of E. coli in groundwater using physico-chemical water quality parameters FM Khan, R Gupta, S Sekhri Groundwater for Sustainable Development 13, 100580, 2021 | 22 | 2021 |
| Gupta R FM Khan ARIMA and NAR based prediction model for time series analysis of COVID-19 …, 2020 | 11 | 2020 |
| Preparedness and Mitigation by projecting the risk against COVID-19 transmission using Machine Learning Techniques A Kumar, FM Khan, R Gupta, H Puppala medRxiv, 2020.04. 26.20080655, 2020 | 11 | 2020 |
| A convolutional neural network approach for detection of E. coli bacteria in water FM Khan, R Gupta, S Sekhri Environmental Science and Pollution Research 28 (43), 60778-60786, 2021 | 9 | 2021 |
| Sprawl of the COVID-19 in changing scenario: a methodology based on social interaction G Kumar, A Kumar, FM Khan, R Gupta Library Hi Tech 39 (3), 903-911, 2021 | 8 | 2021 |
| A novel PCA-FA-ANN based hybrid model for prediction of fluoride FM Khan, R Gupta, S Sekhri Stochastic Environmental Research and Risk Assessment, 2021 | 7 | 2021 |
| Effect of Zataria multiflora Boiss. essential oil on growth curve and shigatoxin 2 production of enterohemorrhagic Escherichia coli O157:H7. M Ataee, AA Basti, TZ Salehi, H Hosseini, HG Nasrabadi, N Noori, ... | 6 | 2013 |
| Predicting COVID-19 cases, deaths and recoveries using machine learning methods M Lounis, FM Khan Engineering and Applied Science Letter 4 (4), 43-49, 2021 | 5 | 2021 |
| An overview of organized & unorganized retailing in India A Kumar, F Khan Parishodh Journal 9 (3), 8388-8393, 2020 | 4 | 2020 |
| Automated Bacteria Colony Counting on Agar Plates Using Machine Learning F Mohammad Khan, R Gupta, S Sekhri Journal of Environmental Engineering 147 (12), 04021066, 2021 | 3 | 2021 |
| Understanding the Landscape of Bronchoscopy in Lung Cancer: Insights From Lesion Location, Gender, and Diagnostic Efficacy L Devi, Y Verma, A Kumar, F Khan, S Verma, A Kumar Cureus 16 (2), 2024 | | 2024 |
| Artificial Intelligence Model for Prediction of Faecal Coliform Bacteria in Ground Water FM Khan | | 2023 |
| Physico-Chemical Parameters Based Artificial Intelligence Model for Prediction of Faecal Coliform Bacteria in Ground Water FM KHAN BITS Pilani, 2022 | | 2022 |
| Analysis of increase in cell counts of Escherichia coli in groundwater of Rajasthan: Possible presence of VBNC cells Farhan Mohammad Khan, Rajiv Gupta, Sheetal Sekhri Research Journal of Chemistry and Environment 25 (6), 1-8, 2021 | | 2021 |
| Detection of waterborne bacteria using Adaptive Neuro-Fuzzy Inference System FM Khan, S Sridhar, R Gupta E3S Web of Conferences 158, 05002, 2020 | | 2020 |
| Spatial Analysis of Water Quality Trends in Wastewater Treatment Using GIS and Machine Learning A Kumar, FM Khan, R Gupta World Environmental and Water Resources Congress 2024, 1451-1470, 0 | | |
