Framework to Secure Data Access in Cloud Environment. - Rachna Jain; Sushila Madan; Bindu Garg (ICSI (2), 2015)

Degree Approximation-Based Fuzzy Partitioning Algorithm and Applications in Wheat Production Prediction. - Rachna Jain; Nikita Jain; Shivani Kapania; Le Hoang Son (Symmetry, 2018)

Convolutional neural network based Alzheimer's disease classification from magnetic resonance brain images. - Rachna Jain; Nikita Jain; Akshay Aggarwal; D. Jude Hemanth (Cogn. Syst. Res., 2019)

Assessing risk in life insurance using ensemble learning. - Rachna Jain; Jafar Ahmad Abed Alzubi; Nikita Jain; Pawan Joshi (J. Intell. Fuzzy Syst., 2019)

An QoS Aware Link Defined OLSR (LD-OLSR) Routing Protocol for MANETS. - Rachna Jain; Indu Kashyap (Wirel. Pers. Commun., 2019)

Security and Privacy in Social Networks: Data and Structural Anonymity. - Rachna Jain; Nikita Jain; Anand Nayyar (Handbook of Computer Networks and Cyber Security, 2020)

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

A novel homomorphic RASD framework for secured data access and storage in cloud computing. - Rachna Jain; Anand Nayyar (Open Comput. Sci., 2020)

A Modified Fuzzy Logic Relation-Based Approach for Electricity Consumption Forecasting in India. - Rachna Jain; Nikita Jain; Yash Gupta; Tarun Chugh; Tushar Chugh; D. Jude Hemanth (Int. J. Fuzzy Syst., 2020)

Paraphrase identification using collaborative adversarial networks. - Jafar Ahmad Abed Alzubi; Rachna Jain; Abhishek Kathuria; Anjali Khandelwal; Anmol Saxena; Anubhav Singh (J. Intell. Fuzzy Syst., 2020)

Deep Refinement: capsule network with attention mechanism-based system for text classification. - Deepak Kumar Jain 001; Rachna Jain; Yash Upadhyay; Abhishek Kathuria; Xiangyuan Lan (Neural Comput. Appl., 2020)

GAN-Poser: an improvised bidirectional GAN model for human motion prediction. - Deepak Kumar Jain 001; Masoumeh Zareapoor; Rachna Jain; Abhishek Kathuria; Shivam Bachhety (Neural Comput. Appl., 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)

Neural network and NLP based chatbot for answering COVID-19 queries. - Vishal Tiwari; Lokesh Kumar Verma; Pulkit Sharma; Rachna Jain; Preeti Nagrath (Int. J. Intell. Eng. Informatics, 2021)

Deep image captioning using an ensemble of CNN and LSTM based deep neural networks. - Jafar Ahmad Abed Alzubi; Rachna Jain; Preeti Nagrath; Suresh Chandra Satapathy; Soham Taneja; Paras Gupta (J. Intell. Fuzzy Syst., 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)

A comprehensive analysis and prediction of earthquake magnitude based on position and depth parameters using machine and deep learning models. - Rachna Jain; Anand Nayyar; Simrann Arora; Akash Gupta (Multim. Tools Appl., 2021)

Driver distraction detection using capsule network. - Deepak Kumar Jain 001; Rachna Jain; Xiangyuan Lan; Yash Upadhyay; Anuj Thareja (Neural Comput. Appl., 2021)

Psychometric profiling of individuals using Twitter profiles: A psychological Natural Language Processing based approach. - Shubhangi Rathi; Jai Prakash Verma; Rachna Jain; Anand Nayyar; Narina Thakur (Concurr. Comput. Pract. Exp., 2022)

A Novel CNN, Bidirectional Long-Short Term Memory, and Gated Recurrent Unit-Based Hybrid Approach for Human Activity Recognition. - Narina Thakur; Sunil K. Singh 002; Akash Gupta; Kunal Jain; Rachna Jain; Dragan Perakovic; Nadia Nedjah; Marjan Kuchaki Rafsanjani (Int. J. Softw. Sci. Comput. Intell., 2022)

Distracted driver detection using compressed energy efficient convolutional neural network. - Jafar Ahmad Abed Alzubi; Rachna Jain; Omar A. Alzubi; Anuj Thareja; Yash Upadhyay (J. Intell. Fuzzy Syst., 2022)

ParaCap: paraphrase detection model using capsule network. - Rachna Jain; Abhishek Kathuria; Anubhav Singh; Anmol Saxena; Anjali Khandelwal (Multim. Syst., 2022)

Sarcasm detection using deep learning and ensemble learning. - Priya Goel; Rachna Jain; Anand Nayyar; Shruti Singhal; Muskan Srivastava (Multim. Tools Appl., 2022)

Fake News Classification: A Quantitative Research Description. - Rachna Jain; Deepak Kumar Jain 001; Dharana; Nitika Sharma (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2022)

Ant Colony Inspired Energy Efficient OLSR (AC-OLSR) Routing Protocol in MANETS. - Rachna Jain (Wirel. Pers. Commun., 2022)

Improvise approach for respiratory pathologies classification with multilayer convolutional neural networks. - Saumya Borwankar; Jai Prakash Verma; Rachna Jain; Anand Nayyar (Multim. Tools Appl., 2022)

WePaMaDM-Outlier Detection: Weighted Outlier Detection using Pattern Approaches for Mass Data Mining. - Ravindrakumar Purohit; Jai Prakash Verma; Rachna Jain; Madhuri D. Bhavsar (CoRR, 2023)

Enhanced deep learning network for emotion recognition from GIF. - Agam Madan; Jolly Parikh; Rachna Jain; Aryan Gupta; Ankit Chaudhary; Dhruv Chadha; Shubham Shubham (Intell. Decis. Technol., 2023)

Explaining sentiment analysis results on social media texts through visualization. - Rachna Jain; Ashish Kumar 009; Anand Nayyar; Kritika Dewan; Rishika Garg; Shatakshi Raman; Sahil Ganguly (Multim. Tools Appl., 2023)

Stacked CNN - LSTM approach for prediction of suicidal ideation on social media. - Bhavini Priyamvada; Shruti Singhal; Anand Nayyar; Rachna Jain; Priya Goel; Mehar Rani; Muskan Srivastava (Multim. Tools Appl., 2023)

Autonomous pedestrian detection for crowd surveillance using deep learning framework. - Narina Thakur; Preeti Nagrath; Rachna Jain; Dharmender Saini; Nitika Sharma; D. Jude Hemanth (Soft Comput., 2023)

Toward Design and Implementation of Self-Balancing Robot Using Deep Learning. - Preeti Nagrath; Rachna Jain; Drishti Agarwal; Gopal Chaudhary 001; Tianhong Huang (J. Circuits Syst. Comput., 2023)

Dementia detection using parameter optimization for multimodal datasets. - Swati Gupta; Jolly Parikh; Rachna Jain; Namit Kashi; Piyush Khurana; Janya Mehta; D. Jude Hemanth (Intell. Decis. Technol., 2024)

Correlation filter based single object tracking: A review. - Ashish Kumar 009; Rubeena Vohra; Rachna Jain; Muyu Li; Chenquan Gan; Deepak Kumar Jain 001 (Inf. Fusion, 2024)

Mobile Device Security: A Two-Layered Approach with Blockchain and Sensor Technology for Theft Prevention. - Nitima Malsa; Rachna Jain; S. B. Goyal (Scalable Comput. Pract. Exp., 2024)

Deep learning-based parking occupancy detection framework using ResNet and VGG-16. - Narina Thakur; Eshanika Bhattacharjee; Rachna Jain; Biswaranjan Acharya; Yu-Chen Hu (Multim. Tools Appl., 2024)

Classifying Hindi News Using Various Machine Learning and Deep Learning Techniques. - Anusha Chhabra; Monika Arora; Arpit Sharma 006; Harsh Singh; Saurabh Verma; Rachna Jain; Biswaranjan Acharya; Vassilis C. Gerogiannis; Dimitrios Tzimos; Andreas Kanavos (Int. J. Artif. Intell. Tools, 2024)

Improving generalization for geometric variations in images for efficient deep learning. - Shivam Grover; Kshitij Sidana; Vanita Jain; Rachna Jain; Anand Nayyar (Multim. Tools Appl., 2024)

Bug Report Analytics for Software Reliability Assessment using Hybrid Swarm - Evolutionary Algorithm. - Sangeeta; Sitender; Rachna Jain; Ankita Bansal (e Informatica Softw. Eng. J., 2025)

RI-L1Approx: A novel Resnet-Inception-based Fast L1-approximation method for face recognition. - Supriya Bajpai; Gargi Mishra; Rachna Jain; Deepak Kumar Jain 001; Dharmender Saini; Amir Hussain 001 (Neurocomputing, 2025)

A novel sarcasm detection approach for text-image data: Leveraging multimodal fusion and weighted latent factors. - Anisha Gupta; Apeksha Mittal; Rachna Jain (Inf. Fusion, 2025)

Advances in DeepFake detection algorithms: Exploring fusion techniques in single and multi-modal approach. - Ashish Kumar 009; Divya Singh; Rachna Jain; Deepak Kumar Jain 001; Chenquan Gan; Xudong Zhao (Inf. Fusion, 2025)

FedBlocks: federated learning and blockchainbased privacy-preserved pioneering framework for IoT healthcare using IPFS in web 3.0 era. - Ravindrakumar Purohit; Jai Prakash Verma; Rachna Jain; Ashish Kumar 009 (Clust. Comput., 2025)

Deep learning based predictive analysis of energy consumption for smart homes. - Sangeeta Malik; Sitender Malik; Ishmeet Singh; Harsh Vardhan Gupta; Sidhant Prakash; Rachna Jain; Biswaranjan Acharya; Yu-Chen Hu (Multim. Tools Appl., 2025)

Investigating U-Net variants for satellite image object detection: Towards an ensemble method and performance evaluation. - Sunesh Malik; Priyanka Nandal; Sudesh Pahal; Jolly Parikh; Rachna Jain (Evol. Syst., 2025)