Contemporary study of cloud computing environment. - Vinay Kukreja; Jaiteg Singh; Anju Sharma (ACAI, 2011)

Building an ASR System for Indian (Punjabi) language and its evaluation for Malwa and Majha dialect: Preliminary Results. - Vivek Bhardwaj 001; Vinay Kukreja; Navjeet Kaur; Nandini Modi (ICCCNT, 2021)

A retrospective study on handwritten mathematical symbols and expressions: Classification and recognition. - Sakshi; Vinay Kukreja (Eng. Appl. Artif. Intell., 2021)

Identification, assessment and ranking agile software development critical success factors - a factor analysis approach. - Vinay Kukreja; Amitoj Singh; Sachin Ahuja (Int. J. Knowl. Learn., 2021)

Usage of Prosody Modification and Acoustic Adaptation for Robust Automatic Speech Recognition (ASR) System. - Vivek Bhardwaj 001; Vinay Kukreja; Amitoj Singh (Rev. d'Intelligence Artif., 2021)

Machine learning models for mathematical symbol recognition: A stem to stern literature analysis. - Vinay Kukreja; Sakshi (Multim. Tools Appl., 2022)

Deep learning in wheat diseases classification: A systematic review. - Deepak Kumar; Vinay Kukreja (Multim. Tools Appl., 2022)

Adaptation of IoT with Blockchain in Food Supply Chain Management: An Analysis-Based Review in Development, Benefits and Potential Applications. - Amanpreet Kaur; Gurpreet Singh Bhamra; Vinay Kukreja; Sparsh Sharma; Saurabh Singh 006; Byungun Yoon (Sensors, 2022)

Use of Neural Machine Translation in Multimodal Translation. - Manavi Nair; Sarvesh Tanwar; Sumit Badotra; Vinay Kukreja (IC3I, 2023)

Unveiling the Language of Comics: Classifying Speech Balloons for Enhanced Analysis and Interpretation. - Rishu; Vinay Kukreja; Vikrant Sharma (IC3I, 2023)

An Ensemble Approach of CNN and SVM for Precise Classification of Sweet Corn Leaf Diseases. - Deepak Banerjee; Vinay Kukreja; Vikrant Sharma; Manika Manwal; Varun Jindal (ICCCNT, 2023)

Sustainable PRS: A hybrid DL-based parcel recognition approach. - Ankit Bansal; Rishabh Sharma; Vinay Kukreja; Amitoj Singh; Satvik Vats (ICCCNT, 2023)

Deep Learning Based Sugarcane Downy Mildew Disease Detection Using CNN-LSTM Ensemble Model for Severity Level Classification. - Nikhil Dhawan; Vinay Kukreja; Rishabh Sharma; Satvik Vats; Aditya Verma (ICCCNT, 2023)

Unveiling the Hidden Patterns: Deep Learning Approach for Early Detection and Severity Classification of Sugarcane Brown Spot. - Shruti Garg; Vinay Kukreja; Rishabh Sharma; Vikrant Sharma; Manisha Aeri (ICCCNT, 2023)

Hybrid Classification Model using CNN & SVM for Seven Wonders of the World. - Varun Jindal; Anuj Kumar Jain; Vinay Kukreja; Raj Gaurang Tiwari; Satvik Vats; Rishabh Sharma (ICCCNT, 2023)

Automated Tea Leaves Recognition: Multi-Classification Using YOLOv5 and Inception V3 Model. - Naman Joshi; Deepak Kumar; Vinay Kukreja; Pradeepta Kumar Sarangi (ICCCNT, 2023)

Application of Deep Learning Strategy for Multi-classification of Indian Heritage Images. - Vinay Kukreja; Rishabh Sharma; Dibyahash Bordoloi (ICCCNT, 2023)

Crop Vigil: Automated Wheat Bunt Disease Multi-Classification with a CNN-RNN Hybrid Model and Attention Block. - Vinay Kukreja; Rishabh Sharma; Vikrant Sharma; Aditya Verma (ICCCNT, 2023)

DeepLeaf: Revolutionizing Rice Disease Detection and Classification using Convolutional Neural Networks and Random Forest Hybrid Model. - Vinay Kukreja; Rishabh Sharma; Satvik Vats; Manika Manwal (ICCCNT, 2023)

Preserving Heritage Palaces: A Deep Learning CNN-SVM Hybrid Approach for Multi-classification. - Deepak Kumar; Yash Kumar; Vinay Kukreja; Shanmugasundram Hariharan; Bhawna Goyal; Aditya Verma (ICCCNT, 2023)

Towards Smart Agriculture: Automated Detection and Diagnosis of Bean Leaf Diseases Using ResNext50 Model. - Manish Mahajan; Rishabh Sharma; Amandeep Singh; Vinay Kukreja; Satvik Vats (ICCCNT, 2023)

Revolutionizing Heritage Site Information Retrieval: A Deep Learning Approach Utilizing CNN and SVM for Effective Classification of Cultural Heritage Sites. - Shiva Mehta; Vinay Kukreja; Dibyahash Bordoloi (ICCCNT, 2023)

Exploring the Potential of Federated Learning CNN for Interactive Virtual Tours of UNESCO Cultural Heritage Sites: A Case Study. - Shiva Mehta; Vinay Kukreja; Richa Gupta (ICCCNT, 2023)

Utilizing Federated Learning and CNNs for Severity Analysis of Fenugreek Leaf Diseases. - Shiva Mehta; Vinay Kukreja; Vikrant Sharma (ICCCNT, 2023)

Cutting-edge Analysis of Sweet Potato Leaf Diseases: Leveraging Federated Learning and CNNs for Severity Evaluation. - Shiva Mehta; Vinay Kukreja; Vikrant Sharma; Manisha Aeri (ICCCNT, 2023)

Optimizing Fenugreek Leaf Disease Detection: An Exploration of Federated Learning with CNN. - Shiva Mehta; Vinay Kukreja; Vikrant Sharma; Manika Manwal (ICCCNT, 2023)

Innovative Approaches to Java Plum Leaf Disease Identification: Federated Learning meets Convolutional Neural Networks. - Shiva Mehta; Vinay Kukreja; Satvik Vats (ICCCNT, 2023)

Propelling Agritech Forward: Federated Learning and CNN for Sweet Potato Disease Diagnosis. - Shiva Mehta; Vinay Kukreja; Satvik Vats (ICCCNT, 2023)

Pioneering a Beetroot Disease Diagnosis with Federated Learning and CNN. - Shiva Mehta; Vinay Kukreja; Satvik Vats (ICCCNT, 2023)

Revolutionizing Agricultural Expertise: A Federated Learning-CNN Approach for Potato Leaf Disease Multi-Classification. - Shiva Mehta; Vinay Kukreja; Satvik Vats (ICCCNT, 2023)

Uncovering New Possibilities for Rice Agriculture: A CNN-SVM Model for Accurate Identification of Severity in Bacterial Brown Spot Rice Leaf's Disease. - Shiva Mehta; Vinay Kukreja; Satvik Vats (ICCCNT, 2023)

Scalable and Privacy-Severity Analysis of Pomegranate Leaf Diseases: Federated Learning with CNNs. - Shiva Mehta; Vinay Kukreja; Satvik Vats; Manika Manwal (ICCCNT, 2023)

A Paradigm Shift in Pomegranate Leaf Disease Detection with Federated Learning and CNN. - Shiva Mehta; Vinay Kukreja; Satvik Vats; Aditya Verma (ICCCNT, 2023)

Boosting Crop Yield and Quality: Deep Learning-Based Multi-Classification of Wheat Eye Spot Disease. - Aaryan Sharma; Deepak Kumar; Vinay Kukreja (ICCCNT, 2023)

Smart logistics multi-classification system using CNN and LSTM. - Rishabh Sharma; Vinay Kukreja; Satvik Vats (ICCCNT, 2023)

FesNas: A Breakthrough Algorithm for Multi-Classification of Wheat Black Rust Intensity Levels. - Amandeep Singh; Sweety Sehgal; Manish Mahajan; Vinay Kukreja; Rishabh Sharma; Satvik Vats (ICCCNT, 2023)

Ensemble Deep Learning Using faster RCNN Model and Fuzzy rule System for Health Monitoring of Heritage Castles. - Sohail; Deepak Kumar; Vinay Kukreja (ICCCNT, 2023)

Integrating YOLOv5 and Pretrained Models to Enhance Wheat Leaf Rust Disease Recognition. - Yashu; Deepak Kumar; Vinay Kukreja; Pradeepta Kumar Sarangi (ICCCNT, 2023)

A dive in white and grey shades of ML and non-ML literature: a multivocal analysis of mathematical expressions. - Sakshi; Vinay Kukreja (Artif. Intell. Rev., 2023)

Recent trends in mathematical expressions recognition: An LDA-based analysis. - Sakshi; Vinay Kukreja (Expert Syst. Appl., 2023)

Optimized classification model for plant diseases using generative adversarial networks. - Shweta Lamba; Preeti Saini; Jagpreet Kaur; Vinay Kukreja (Innov. Syst. Softw. Eng., 2023)

An empirical study to design an effective agile knowledge management framework. - Amitoj Singh; Vinay Kukreja; Munish Kumar 001 (Multim. Tools Appl., 2023)

Analysing moderators and critical factors that affect early childhood education with the usage of touchscreen contrivances: A hybrid fuzzy AHP - fuzzy TOPSIS approach. - Vinay Kukreja; Anuj Kumar Jain; Amitoj Singh; Rajesh Kumar Kaushal; Arun Aggarwal (Educ. Inf. Technol., 2023)

Energy-efficiency schemes for base stations in 5G heterogeneous networks: a systematic literature review. - Preetjot Kaur; Roopali Garg; Vinay Kukreja (Telecommun. Syst., 2023)

Image segmentation, classification, and recognition methods for wheat diseases: Two Decades' systematic literature review. - Deepak Kumar; Vinay Kukreja (Comput. Electron. Agric., 2024)

Image segmentation, classification and recognition methods for comics: A decade systematic literature review. - Rishabh Sharma; Vinay Kukreja (Eng. Appl. Artif. Intell., 2024)

Comic exploration and Insights: Recent trends in LDA-Based recognition studies. - Rishu; Vinay Kukreja (Expert Syst. Appl., 2024)

Neural Network Model for Predicting Apple Yield Based on Arrival of Phenological Stage in Conjunction with Leaf disease, Soil and Weather Parameters. - Rakesh Mohan Datt; Vinay Kukreja (SN Comput. Sci., 2024)

Stakeholders' perspective towards employability: a hybrid fuzzy AHP-TOPSIS Approach. - Abhishek Bhattacherjee; Vinay Kukreja; Arun Aggarwal (Educ. Inf. Technol., 2024)

Machine learning and non-machine learning methods in mathematical recognition systems: Two decades' systematic literature review. - Sakshi; Vinay Kukreja (Multim. Tools Appl., 2024)

Recent advances in image dehazing: Formal analysis to automated approaches. - Bhawna Goyal; Ayush Dogra; Dawa Chyophel Lepcha; Vishal Goyal; Ahmed Alkhayyat 001; Jasgurpreet Singh Chohan; Vinay Kukreja (Inf. Fusion, 2024)

A novel hybrid segmentation technique for identification of wheat rust diseases. - Deepak Kumar; Vinay Kukreja; Amitoj Singh (Multim. Tools Appl., 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. - Vinay Kukreja; Tejinder Pal Singh Brar; Satvik Vats; Ankit Bansal; Rishabh Sharma (SN Comput. Sci., 2024)

Swin Transformer and Momentum Contrast (MoCo) in Leukemia Diagnostics: A New Paradigm in AI-Driven Blood Cell Cancer Classification. - Eshika Jain; Pratham Kaushik; Vinay Kukreja; Modafar Ati; Shanmugasundaram Hariharan; Vandana Ahuja; Abhishek Bhattacherjee; Rajesh Kumar Kaushal (IEEE Access, 2025)

Decoding comics visual narratives: a semi-automatic review using information modelling technique. - Rishu; Vinay Kukreja (Entertain. Comput., 2025)

A novel multimodal framework for emotion recognition in comics: Integrating background color, facial expressions, and text sentiment using fuzzy logic. - Rishu; Vinay Kukreja (Expert Syst. Appl., 2025)

Image segmentation review: Theoretical background and recent advances. - Khushmeen Kaur Brar; Bhawna Goyal; Ayush Dogra; Mohammed Ahmed Mustafa; Rana Majumdar; Ahmed Alkhayyat 001; Vinay Kukreja (Inf. Fusion, 2025)

Hyperledger fabric based remote patient monitoring solution and performance evaluation. - Rajesh Kumar Kaushal; Naveen Kumar 015; Vinay Kukreja; Ekkarat Boonchieng (Peer Peer Netw. Appl., 2025)

Decoding comics: a systematic literature review on recognition, segmentation, and classification techniques with emphasis on computer vision and non-computer vision. - Rishu; Vinay Kukreja (Multim. Tools Appl., 2025)