| 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 | 256 | 2021 |
| 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 | 149 | 2021 |
| 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 | 78 | 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 | 63 | 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 | 33 | 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 | 29 | 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 | 27 | 2022 |
| 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 |
| Digital education challenges and opportunities G Rani, P Kaur, T Sharma, A Sharma 2021 6th International Conference on Signal Processing, Computing and …, 2021 | 24 | 2021 |
| Optimized contrast enhancement for tumor detection VS Monika Agarwal, Geeta Rani International Journal of Imaging Systems and Technology, 0 | 24* | |
| 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 | 20 | 2022 |
| A comparative analysis of deep learning models applied for disease classification in bell pepper N Kundu, G Rani, VS Dhaka 2020 Sixth International Conference on Parallel, Distributed and Grid …, 2020 | 20 | 2020 |
| 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 | 19 | 2022 |
| Seeds classification and quality testing using deep learning and YOLO v5 N Kundu, G Rani, VS Dhaka Proceedings of the International Conference on Data Science, Machine …, 2021 | 19 | 2021 |
| A multi-modal bone suppression, lung segmentation, and classification approach for accurate COVID-19 detection using chest radiographs G Rani, A Misra, VS Dhaka, D Buddhi, RK Sharma, E Zumpano, ... Intelligent Systems with Applications 16, 200148, 2022 | 18 | 2022 |
| Handbook of Research on Disease Prediction Through Data Analytics and Machine Learning DPKT Dr Geeta Rani DOI: 10.4018/978-1-7998-2742-9, 2020 | 18* | 2020 |
| 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 | 16 | 2023 |
| Contrast enhancement using optimum threshold selection G Rani, M Agarwal International Journal of Software Innovation (IJSI) 8 (3), 96-118, 2020 | 15 | 2020 |
| Machine learning model for multi-view visualization of medical images N Pradhan, V Singh Dhaka, G Rani, H Chaudhary The Computer Journal 65 (4), 805-817, 2022 | 14 | 2022 |
| Machine learning and iot based disease predictor and alert generator system N Kundu, G Rani, VS Dhaka 2020 Fourth International Conference on Computing Methodologies and …, 2020 | 13 | 2020 |
Deepak SinwarSMIEEE, Associate Professor (Manipal University Jaipur, India)Verified email at jaipur.manipal.edu
