Vinay Kukreja
Orcid: 0000-0002-9760-0824
According to our database1,
Vinay Kukreja
authored at least 52 papers
between 2011 and 2024.
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Bibliography
2024
Inf. Fusion, April, 2024
Machine learning and non-machine learning methods in mathematical recognition systems: Two decades' systematic literature review.
Multim. Tools Appl., March, 2024
Educ. Inf. Technol., February, 2024
Neural Network Model for Predicting Apple Yield Based on Arrival of Phenological Stage in Conjunction with Leaf disease, Soil and Weather Parameters.
SN Comput. Sci., January, 2024
Expert Syst. Appl., 2024
Image segmentation, classification and recognition methods for comics: A decade systematic literature review.
Eng. Appl. Artif. Intell., 2024
Image segmentation, classification, and recognition methods for wheat diseases: Two Decades' systematic literature review.
Comput. Electron. Agric., 2024
2023
Energy-efficiency schemes for base stations in 5G heterogeneous networks: a systematic literature review.
Telecommun. Syst., September, 2023
Analysing moderators and critical factors that affect early childhood education with the usage of touchscreen contrivances: A hybrid fuzzy AHP - fuzzy TOPSIS approach.
Educ. Inf. Technol., May, 2023
Multim. Tools Appl., April, 2023
Multim. Tools Appl., March, 2023
Optimized classification model for plant diseases using generative adversarial networks.
Innov. Syst. Softw. Eng., March, 2023
Expert Syst. Appl., 2023
A dive in white and grey shades of ML and non-ML literature: a multivocal analysis of mathematical expressions.
Artif. Intell. Rev., 2023
Integrating YOLOv5 and Pretrained Models to Enhance Wheat Leaf Rust Disease Recognition.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023
Ensemble Deep Learning Using faster RCNN Model and Fuzzy rule System for Health Monitoring of Heritage Castles.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023
FesNas: A Breakthrough Algorithm for Multi-Classification of Wheat Black Rust Intensity Levels.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023
Boosting Crop Yield and Quality: Deep Learning-Based Multi-Classification of Wheat Eye Spot Disease.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023
A Paradigm Shift in Pomegranate Leaf Disease Detection with Federated Learning and CNN.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023
Scalable and Privacy-Severity Analysis of Pomegranate Leaf Diseases: Federated Learning with CNNs.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023
Uncovering New Possibilities for Rice Agriculture: A CNN-SVM Model for Accurate Identification of Severity in Bacterial Brown Spot Rice Leaf's Disease.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023
Revolutionizing Agricultural Expertise: A Federated Learning-CNN Approach for Potato Leaf Disease Multi-Classification.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023
Propelling Agritech Forward: Federated Learning and CNN for Sweet Potato Disease Diagnosis.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023
Innovative Approaches to Java Plum Leaf Disease Identification: Federated Learning meets Convolutional Neural Networks.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023
Optimizing Fenugreek Leaf Disease Detection: An Exploration of Federated Learning with CNN.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023
Cutting-edge Analysis of Sweet Potato Leaf Diseases: Leveraging Federated Learning and CNNs for Severity Evaluation.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023
Utilizing Federated Learning and CNNs for Severity Analysis of Fenugreek Leaf Diseases.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023
Exploring the Potential of Federated Learning CNN for Interactive Virtual Tours of UNESCO Cultural Heritage Sites: A Case Study.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023
Revolutionizing Heritage Site Information Retrieval: A Deep Learning Approach Utilizing CNN and SVM for Effective Classification of Cultural Heritage Sites.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023
Towards Smart Agriculture: Automated Detection and Diagnosis of Bean Leaf Diseases Using ResNext50 Model.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023
Preserving Heritage Palaces: A Deep Learning CNN-SVM Hybrid Approach for Multi-classification.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023
DeepLeaf: Revolutionizing Rice Disease Detection and Classification using Convolutional Neural Networks and Random Forest Hybrid Model.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023
Crop Vigil: Automated Wheat Bunt Disease Multi-Classification with a CNN-RNN Hybrid Model and Attention Block.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023
Application of Deep Learning Strategy for Multi-classification of Indian Heritage Images.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023
Automated Tea Leaves Recognition: Multi-Classification Using YOLOv5 and Inception V3 Model.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023
Unveiling the Hidden Patterns: Deep Learning Approach for Early Detection and Severity Classification of Sugarcane Brown Spot.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023
Deep Learning Based Sugarcane Downy Mildew Disease Detection Using CNN-LSTM Ensemble Model for Severity Level Classification.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023
An Ensemble Approach of CNN and SVM for Precise Classification of Sweet Corn Leaf Diseases.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023
Unveiling the Language of Comics: Classifying Speech Balloons for Enhanced Analysis and Interpretation.
Proceedings of the 6th International Conference on Contemporary Computing and Informatics, 2023
Proceedings of the 6th International Conference on Contemporary Computing and Informatics, 2023
2022
Adaptation of IoT with Blockchain in Food Supply Chain Management: An Analysis-Based Review in Development, Benefits and Potential Applications.
Sensors, 2022
Multim. Tools Appl., 2022
Machine learning models for mathematical symbol recognition: A stem to stern literature analysis.
Multim. Tools Appl., 2022
2021
Usage of Prosody Modification and Acoustic Adaptation for Robust Automatic Speech Recognition (ASR) System.
Rev. d'Intelligence Artif., 2021
Identification, assessment and ranking agile software development critical success factors - a factor analysis approach.
Int. J. Knowl. Learn., 2021
A retrospective study on handwritten mathematical symbols and expressions: Classification and recognition.
Eng. Appl. Artif. Intell., 2021
Building an ASR System for Indian (Punjabi) language and its evaluation for Malwa and Majha dialect: Preliminary Results.
Proceedings of the 12th International Conference on Computing Communication and Networking Technologies, 2021
2011
Proceedings of the International Conference on Advances in Computing and Artificial Intelligence, 2011