Vinay Kukreja

Orcid: 0000-0002-9760-0824

According to our database1, Vinay Kukreja authored at least 54 papers between 2011 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2025
Image segmentation review: Theoretical background and recent advances.
Inf. Fusion, 2025

2024
Advancing Climate Forecasting Accuracy Through Neurosymbolic Integration: Unveiling the Neurosymbolic Climate Inference and Prediction (NS-CIP) Model's Approach to Predicting Extreme Weather Events.
SN Comput. Sci., October, 2024

A novel hybrid segmentation technique for identification of wheat rust diseases.
Multim. Tools Appl., September, 2024

Recent advances in image dehazing: Formal analysis to automated approaches.
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

Stakeholders' perspective towards employability: a hybrid fuzzy AHP-TOPSIS Approach.
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

Comic exploration and Insights: Recent trends in LDA-Based recognition studies.
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

An empirical study to design an effective agile knowledge management framework.
Multim. Tools Appl., March, 2023

Optimized classification model for plant diseases using generative adversarial networks.
Innov. Syst. Softw. Eng., March, 2023

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

Smart logistics multi-classification system using CNN and LSTM.
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

Pioneering a Beetroot Disease Diagnosis with Federated Learning and CNN.
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

Hybrid Classification Model using CNN & SVM for Seven Wonders of the World.
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

Sustainable PRS: A hybrid DL-based parcel recognition approach.
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

Use of Neural Machine Translation in Multimodal Translation.
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

Deep learning in wheat diseases classification: A systematic review.
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
Contemporary study of cloud computing environment.
Proceedings of the International Conference on Advances in Computing and Artificial Intelligence, 2011


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