A novel deep learning model for detection of severity level of the disease in citrus fruits P Dhiman, V Kukreja, P Manoharan, A Kaur, MM Kamruzzaman, ... Electronics 11 (3), 495, 2022 | 456 | 2022 |
Amalgamated convolutional long term network (CLTN) model for Lemon Citrus Canker Disease Multi-classification R Sharma, V Kukreja 2022 International conference on decision aid sciences and applications …, 2022 | 218 | 2022 |
A Deep Neural Network based disease detection scheme for Citrus fruits V Kukreja, P Dhiman 2020 International conference on smart electronics and communication (ICOSEC …, 2020 | 182 | 2020 |
Mustard Downy Mildew Disease Severity Detection using Deep Learning Model R Sharma, V Kukreja 2021 international conference on decision aid sciences and application (DASA …, 2021 | 141 | 2021 |
Revolutionizing Maize Disease Management with Federated Learning CNNs: A Decentralized and Privacy-Sensitive Approach S Mehta, V Kukreja, A Gupta 2023 4th International Conference for Emerging Technology (INCET), 1-6, 2023 | 123 | 2023 |
Advanced mango leaf disease detection and severity analysis with federated learning and cnn S Mehta, V Kukreja, R Yadav 2023 3rd International Conference on Intelligent Technologies (CONIT), 1-6, 2023 | 121 | 2023 |
Recent trends in mathematical expressions recognition: An LDA-based analysis V Kukreja Expert Systems with Applications 213, 119028, 2023 | 112 | 2023 |
Adaptation of IoT with blockchain in Food Supply Chain Management: An analysis-based review in development, benefits and potential applications A Kaur, G Singh, V Kukreja, S Sharma, S Singh, B Yoon Sensors 22 (21), 8174, 2022 | 112 | 2022 |
Detection of corn gray leaf spot severity levels using deep learning approach A Baliyan, V Kukreja, V Salonki, KS Kaswan 2021 9th International conference on reliability, infocom technologies and …, 2021 | 112 | 2021 |
Empowering Farmers with AI: Federated Learning of CNNs for Wheat Diseases Multi-Classification S Mehta, V Kukreja, S Vats 2023 4th International Conference for Emerging Technology (INCET), 1-6, 2023 | 110 | 2023 |
Machine learning models for mathematical symbol recognition: A stem to stern literature analysis V Kukreja, Sakshi Multimedia Tools and Applications 81 (20), 28651-28687, 2022 | 106 | 2022 |
Recognition and classification of mathematical expressions using machine learning and deep learning methods V Kukreja, S Ahuja 2021 9th International Conference on Reliability, Infocom Technologies and …, 2021 | 106 | 2021 |
Potato blight: deep learning model for binary and multi-classification V Kukreja, A Baliyan, V Salonki, RK Kaushal 2021 8th International Conference on Signal Processing and Integrated …, 2021 | 102 | 2021 |
CPD: Faster RCNN-based DragonBall comic panel detection R Sharma, V Kukreja 2023 IEEE 12th International Conference on Communication Systems and Network …, 2023 | 100 | 2023 |
GAN-based synthetic data augmentation for increased CNN performance in Vehicle Number Plate Recognition V Kukreja, D Kumar, A Kaur 2020 4th international conference on electronics, communication and …, 2020 | 100 | 2020 |
Transforming Agriculture: Federated Learning CNNs for Wheat Disease Severity Assessment S Mehta, V Kukreja, A Gupta 2023 8th International Conference on Communication and Electronics Systems …, 2023 | 96 | 2023 |
A novel GCL hybrid classification model for paddy diseases S Lamba, A Baliyan, V Kukreja International journal of Information technology 15 (2), 1127-1136, 2023 | 96 | 2023 |
Automatic classification of wheat rust diseases using deep convolutional neural networks V Kukreja, D Kumar 2021 9th International Conference on Reliability, Infocom Technologies and …, 2021 | 96 | 2021 |
Hybrid fuzzy AHP–TOPSIS approach to prioritizing solutions for inverse reinforcement learning V Kukreja Complex & Intelligent Systems 9 (1), 493-513, 2023 | 95 | 2023 |
A Federated Learning CNN Approach for Tomato Leaf Disease with Severity Analysis S Mehta, V Kukreja, R Yadav 2023 Second International Conference on Augmented Intelligence and …, 2023 | 94 | 2023 |