Vinay Kukreja

Research interests

Publications

• CPD: Faster RCNN-based DragonBall Comic Panel Detection

  · 2023 · 10.1109/csnt57126.2023.10134577

• Revolutionizing Maize Disease Management with Federated Learning CNNs: A Decentralized and Privacy-Sensitive Approach

  · 2023 · 10.1109/incet57972.2023.10170499

• Precision Agriculture: Classifying Banana Leaf Diseases with Hybrid Deep Learning Models

  · 2023 · 10.1109/i2ct57861.2023.10126431

• Transforming Agriculture : Federated Learning CNNs for Wheat Disease Severity Assessment

  · 2023 · 10.1109/icces57224.2023.10192885

• A Novel Hybrid Severity Prediction Model for Blast Paddy Disease Using Machine Learning

  Sustainability · 2023 · 10.3390/su15021502

• Improving Crop Health Management: Federated Learning CNN for Spinach Leaf Disease Detection

  · 2023 · 10.1109/conit59222.2023.10205629

• Advanced Mango Leaf Disease Detection and Severity Analysis with Federated Learning and CNN

  · 2023 · 10.1109/conit59222.2023.10205922

• A Federated Learning CNN Approach for Tomato Leaf Disease with Severity Analysis

  · 2023 · 10.1109/icaiss58487.2023.10250571

• Empowering Farmers with AI: Federated Learning of CNNs for Wheat Diseases Multi-Classification

  · 2023 · 10.1109/incet57972.2023.10170091

• Machine learning models for mathematical symbol recognition: A stem to stern literature analysis

  Multimedia Tools and Applications · 2022 · 10.1007/s11042-022-12644-2

• Amalgamated convolutional long term network (CLTN) model for Lemon Citrus Canker Disease Multi-classification

  2022 International Conference on Decision Aid Sciences and Applications (DASA) · 2022 · https://doi.org/10.1109/dasa54658.2022.9765005

• Adaptation of IoT with Blockchain in Food Supply Chain Management: An Analysis-Based Review in Development, Benefits and Potential Applications

  Sensors · 2022 · 10.3390/s22218174

• Image Segmentation Techniques: Statistical, Comprehensive, Semi-Automated Analysis and an Application Perspective Analysis of Mathematical Expressions

  Archives of Computational Methods in Engineering · 2022 · 10.1007/s11831-022-09805-9

• Automatic Speech Recognition (ASR) Systems for Children: A Systematic Literature Review

  Applied Sciences · 2022 · 10.3390/app12094419

• Recent trends in mathematical expressions recognition: An LDA-based analysis

  Expert Systems with Applications · 2022 · 10.1016/j.eswa.2022.119028

• A Novel Deep Learning Model for Detection of Severity Level of the Disease in Citrus Fruits

  Electronics · 2022 · https://doi.org/10.3390/electronics11030495

• Deep learning in wheat diseases classification: A systematic review

  Multimedia Tools and Applications · 2022 · 10.1007/s11042-022-12160-3

• A novel GCL hybrid classification model for paddy diseases

  International Journal of Information Technology · 2022 · 10.1007/s41870-022-01094-6

• Hybrid fuzzy AHP–TOPSIS approach to prioritizing solutions for inverse reinforcement learning

  Complex & Intelligent Systems · 2022 · 10.1007/s40747-022-00807-5

• Detection of Corn Gray Leaf Spot Severity Levels using Deep Learning Approach

  · 2021 · 10.1109/icrito51393.2021.9596540

• Mustard Downy Mildew Disease Severity Detection using Deep Learning Model

  2021 International Conference on Decision Aid Sciences and Application (DASA) · 2021 · 10.1109/dasa53625.2021.9682305

• Recognition and classification of mathematical expressions using machine learning and deep learning methods

  · 2021 · 10.1109/icrito51393.2021.9596161

• Potato Blight: Deep Learning Model for Binary and Multi-Classification

  · 2021 · 10.1109/spin52536.2021.9566079

• GAN-based synthetic data augmentation for increased CNN performance in Vehicle Number Plate Recognition

  2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA) · 2020 · 10.1109/iceca49313.2020.9297625

• A Deep Neural Network based disease detection scheme for Citrus fruits

  2020 International Conference on Smart Electronics and Communication (ICOSEC) · 2020 · 10.1109/icosec49089.2020.9215359

Current projects

No projects listed.