Analysis of Datamining Technique for Traffic Accident Severity Problem: A Review. - Meenu Gupta; Vijender Kumar Solanki; Vijay Kumar Singh (RICE, 2017)

Sequential procedure for selecting the ranges of process parameters in rotary ultrasonic machining. - Dipesh Popli; Meenu Gupta (Int. J. Manuf. Res., 2017)

Investigation of machining rate and roughness for rotary ultrasonic drilling of Inconel 718 alloy with slotted diamond metal bonded tool. - Dipesh Popli; Meenu Gupta (Int. J. Manuf. Res., 2018)

Implementing Cyclic Redundancy Check as Error Correction Technique in HDLC. - Shardeep Kaur Sooch; Meenu Gupta; Rakesh Kumar 009 (ICRMAT, 2020)

Relative Vehicle Velocity Estimation Using Monocular Video Stream. - Deepak Kumar Jain 001; Rachna Jain; Linqin Cai; Meenu Gupta; Yash Upadhyay (IJCNN, 2020)

Deep learning based detection and analysis of COVID-19 on chest X-ray images. - Rachna Jain; Meenu Gupta; Soham Taneja; D. Jude Hemanth (Appl. Intell., 2021)

Real-time measurement of the uncertain epidemiological appearances of COVID-19 infections. - Meenu Gupta; Rachna Jain; Soham Taneja; Gopal Chaudhary 001; Manju Khari; Elena Verdú (Appl. Soft Comput., 2021)

Multi-class railway complaints categorization using Neural Networks: RailNeural. - Meenu Gupta; Anubhav Singh; Rachna Jain; Anmol Saxena; Shakeel Ahmed (J. Rail Transp. Plan. Manag., 2021)

Deep Learning Based Analysis of Ophthalmology: A Systematic Review. - Puneet Kumar; Rakesh Kumar 009; Meenu Gupta (EAI Endorsed Trans. Pervasive Health Technol., 2021)

Implementation of autonomous driving using Ensemble-M in simulated environment. - Meenu Gupta; Vikalp Upadhyay; Prince Kumar; Fadi M. Al-Turjman (Soft Comput., 2021)

DTLMV2 - A real-time deep transfer learning mask classifier for overcrowded spaces. - Meenu Gupta; Gopal Chaudhary 001; Dhruvi Bansal; Shashwat Pandey (Appl. Soft Comput., 2022)

Food Image-based diet recommendation framework to overcome PCOS problem in women using deep convolutional neural network. - Rajdeep Kaur; Rakesh Kumar 009; Meenu Gupta (Comput. Electr. Eng., 2022)

Optical coherence tomography image based eye disease detection using deep convolutional neural network. - Puneet; Rakesh Kumar 009; Meenu Gupta (Health Inf. Sci. Syst., 2022)

Intelligent Audio Signal Processing for Detecting Rainforest Species Using Deep Learning. - Rakesh Kumar; Meenu Gupta; Shakeel Ahmed; Abdulaziz Alhumam; Tushar Aggarwal (Intell. Autom. Soft Comput., 2022)

Clustering based Contact Tracing Analysis and Prediction of SARS-CoV-2 Infections. - Meenu Gupta; Rakesh Kumar 009; Sunil Kumar Chawla; Sunny Mishra; Sourabh Dhiman (EAI Endorsed Trans. Scalable Inf. Syst., 2022)

Statistical Analysis and Prediction of Heart Disease Using Machine Learning. - Ansh Bahuguna; Meenu Gupta; Rakesh Kumar 009 (ICCCNT, 2023)

Impact of AI on social marketing and its usage in social media: A review analysis. - Meenu Gupta; Rakesh Kumar 009; Abhinandan Sharma; Anand S. Pai (ICCCNT, 2023)

Analysis of Invoice Management System using Regression techniques with improved loss functions. - Rakesh Kumar 009; Meenu Gupta; Pankaj Goplani; Abhijit (ICCCNT, 2023)

Special Issue on "Data Intelligence". - D. Jude Hemanth; Meenu Gupta (Intell. Decis. Technol., 2023)

Advanced energy efficient pegasis based routing protocol for IoT applications. - Priyanka Chugh; Meenu Gupta; S. Indu 001; Gopal Chaudhary 001; Manju Khari; Vimal Shanmuganathan (Microprocess. Microsystems, 2023)

Food Image-based Nutritional Management System to Overcome Polycystic Ovary Syndrome using DeepLearning: A Systematic Review. - Rajdeep Kaur; Rakesh Kumar 009; Meenu Gupta (Int. J. Image Graph., 2023)

Enhancing the Brain Tumor Detection using Data Augmentation with CNNs. - Ankur; Meenu Gupta; Rakesh Kumar 009; Pankaj Zanke (ICCCNT, 2024)

EEDL-based Detection and Classification of Apple Foliar Leaf Disease. - Satish Kumar; Rakesh Kumar; Meenu Gupta; Ahmed J. Obaid (ICCCNT, 2024)

Synthetic Image Generation for Improved Detection of Bone Defects Using GAN. - Brajesh Singh Pundir; Rakesh Kumar 009; Meenu Gupta; Ahmed J. Obaid (ICCCNT, 2024)

Optimizing Road Extraction in Remote Sensing Imagery: A Lightweight Dilated Inception Deep Residual U-Net with Channel Attention (LDIDRU-CAN) Model and Pruning Strategies. - Palvi Sharma; Rakesh Kumar; Meenu Gupta; Ahmed J. Obaid (ICCCNT, 2024)

Adversarial Network-Based Classification for Alzheimer's Disease Using Multimodal Brain Images: A Critical Analysis. - Meenu Gupta; Rakesh Kumar 009; Ajith Abraham (IEEE Access, 2024)

A Critical Analysis on Vertebra Identification and Cobb Angle Estimation Using Deep Learning for Scoliosis Detection. - Rakesh Kumar 009; Meenu Gupta; Ajith Abraham (IEEE Access, 2024)

A Novel Hybrid Model Based on Sentiment Analysis Using Community Guided Link Prediction for Connecting People With Similar Interest. - Snigdha Luthra; Rakesh Kumar 009; Meenu Gupta (IEEE Access, 2024)

Mental health issues assessment using tools during COVID-19 pandemic. - Hamnah Rao; Meenu Gupta; Parul Agarwal; Surbhi Bhatia; Rajat Bhardwaj (Innov. Syst. Softw. Eng., 2024)

CBAR-UNet: A novel methodology for segmentation of cardiac magnetic resonance images using block attention-based deep residual neural network. - Rakesh Kumar 009; Meenu Gupta; Aman Agarwal; Anand Nayyar (Multim. Tools Appl., 2024)

A Novel Approach for Classification and Detection of Apple Leaf Disease Using Enhanced RBVT-Net With Transfer Learning and YoloV7. - Satish Kumar; Rakesh Kumar 009; Meenu Gupta; Korhan Cengiz; Nikola Ivkovic (IEEE Access, 2025)