| A survey of deep convolutional neural networks applied for prediction of plant leaf diseases VS Dhaka, SV Meena, G Rani, D Sinwar, MF Ijaz, M Woźniak Sensors 21 (14), 4749, 2021 | 274 | 2021 |
| Web crawler: a review MA Kausar, VS Dhaka, SK Singh International Journal of Computer Applications 63 (2), 31-36, 2013 | 177 | 2013 |
| IoT and interpretable machine learning based framework for disease prediction in pearl millet N Kundu, G Rani, VS Dhaka, K Gupta, SC Nayak, S Verma, MF Ijaz, ... Sensors 21 (16), 5386, 2021 | 157 | 2021 |
| Ruthenium complexes based dye sensitized solar cells: Fundamentals and research trends N Tomar, A Agrawal, VS Dhaka, PK Surolia Solar Energy 207, 59-76, 2020 | 119 | 2020 |
| Diabetes prediction using artificial neural network N Pradhan, G Rani, VS Dhaka, RC Poonia Deep Learning Techniques for Biomedical and Health Informatics, 327-339, 2020 | 81 | 2020 |
| AI-based yield prediction and smart irrigation D Sinwar, VS Dhaka, MK Sharma, G Rani Internet of Things and Analytics for Agriculture, Volume 2, 155-180, 2020 | 62 | 2020 |
| A novel cryptographic and steganographic approach for secure cloud data migration A Dhamija, V Dhaka 2015 international conference on green computing and internet of things …, 2015 | 51 | 2015 |
| Comparative analysis to predict breast cancer using machine learning algorithms: a survey T Thomas, N Pradhan, VS Dhaka 2020 International conference on inventive computation technologies (ICICT …, 2020 | 41 | 2020 |
| Innovations in Computational Intelligence and Computer Vision Proceedings of ICICV 2020 MK Sharma, VS Dhaka, T Perumal, N Dey, JMRS Tavares Proceedings of ICICV, 1, 2020 | 39 | 2020 |
| Disease detection, severity prediction, and crop loss estimation in MaizeCrop using deep learning N Kundu, G Rani, VS Dhaka, K Gupta, SC Nayaka, E Vocaturo, ... Artificial Intelligence in Agriculture 6, 276-291, 2022 | 34 | 2022 |
| An efficient segmentation technique for Devanagari offline handwritten scripts using the Feedforward Neural Network VP Dhaka, MK Sharma Neural Computing and Applications 26, 1881-1893, 2015 | 34 | 2015 |
| The Realistic Mobility Evaluation of Vehicular Ad-Hoc Network for Indian Automotive Networks VS Dhaka, RC Poonia, L Raja International Journal of Ad hoc, Sensor & Ubiquitous Computing 5 (2), 1, 2014 | 34 | 2014 |
| Applying deep learning-based multi-modal for detection of coronavirus G Rani, MG Oza, VS Dhaka, N Pradhan, S Verma, JJPC Rodrigues Multimedia Systems, 1-12, 2022 | 33 | 2022 |
| Wheat yield prediction using artificial neural network and crop prediction techniques (a survey) VS Dhaka, L Vikas IJRASET 2, 330-341, 2014 | 33 | 2014 |
| Transforming view of medical images using deep learning N Pradhan, VS Dhaka, G Rani, H Chaudhary Neural Computing and Applications 32 (18), 15043-15054, 2020 | 29 | 2020 |
| Segmentation of English offline handwritten cursive scripts using a feedforward neural network MK Sharma, VP Dhaka Neural Computing and Applications 27, 1369-1379, 2016 | 28 | 2016 |
| A deep learning model for mass screening of COVID‐19 VS Dhaka, G Rani, MG Oza, T Sharma, A Misra International journal of imaging systems and technology 31 (2), 483-498, 2021 | 26 | 2021 |
| Pixel plot and trace based segmentation method for bilingual handwritten scripts using feedforward neural network MK Sharma, VP Dhaka Neural Computing and Applications 27, 1817-1829, 2016 | 26 | 2016 |
| A review: Benefits and critical factors of customer relationship management VP Dhaka, P Nahar International Journal of Advanced Networking and Applications 6 (1), 2191-2194, 2014 | 25 | 2014 |
| Optimized contrast enhancement for tumor detection M Agarwal, G Rani, VS Dhaka International Journal of Imaging Systems and Technology 30 (3), 687-703, 2020 | 24 | 2020 |
