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 | 343 | 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 | 185 | 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 | 95 | 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 |
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 | 44 | 2022 |
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 |
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 |
Optimized contrast enhancement for tumor detection VS Monika Agarwal, Geeta Rani International Journal of Imaging Systems and Technology, 0 | 27* | |
Role of internet of things and deep learning techniques in plant disease detection and classification: A focused review VS Dhaka, N Kundu, G Rani, E Zumpano, E Vocaturo Sensors 23 (18), 7877, 2023 | 26 | 2023 |
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 | 26 | 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 | 25 | 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 | 24 | 2020 |
Deep learning for enhanced brain Tumor Detection and classification M Agarwal, G Rani, A Kumar, P Kumar, R Manikandan, AH Gandomi Results in Engineering 22, 102117, 2024 | 23 | 2024 |
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 | 20* | 2020 |
Role of artificial neural networks in predicting design and efficiency of dye sensitized solar cells N Tomar, G Rani, VS Dhaka, PK Surolia International Journal of Energy Research 46 (9), 11556-11573, 2022 | 18 | 2022 |
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 | 16 | 2022 |