| 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 | 344 | 2021 |
| Web crawler: a review MA Kausar, VS Dhaka, SK Singh International Journal of Computer Applications 63 (2), 31-36, 2013 | 204 | 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 | 185 | 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 | 163 | 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 | 94 | 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 | 80 | 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 | 62 | 2022 |
| 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 | 56 | 2015 |
| 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 | 50 | 2020 |
| 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 | 47 | 2020 |
| 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 | 43 | 2022 |
| Wheat yield prediction using artificial neural network and crop prediction techniques (a survey) VS Dhaka, L Vikas IJRASET 2, 330-341, 2014 | 34 | 2014 |
| 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 |
| 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 | 33 | 2015 |
| Spatial feature and resolution maximization GAN for bone suppression in chest radiographs G Rani, A Misra, VS Dhaka, E Zumpano, E Vocaturo Computer Methods and Programs in Biomedicine 224, 107024, 2022 | 32 | 2022 |
| 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 | 32 | 2020 |
| 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 | 30 | 2021 |
| KUB-UNet: segmentation of organs of urinary system from a KUB X-ray image G Rani, P Thakkar, A Verma, V Mehta, R Chavan, VS Dhaka, RK Sharma, ... Computer Methods and Programs in Biomedicine 224, 107031, 2022 | 29 | 2022 |
| Segmentation of English offline handwritten cursive scripts using a feedforward neural network MK Sharma, VP Dhaka Neural Computing and Applications 27, 1369-1379, 2016 | 29 | 2016 |
| A deep reinforcement learning technique for bug detection in video games G Rani, U Pandey, AA Wagde, VS Dhaka International Journal of Information Technology 15 (1), 355-367, 2023 | 27 | 2023 |
