Survey and Comparison of Optical Switch Fabrication Techniques and Architectures - Ravinder Yadav; Rinkle Rani Aggarwal (CoRR, 2010)

Modeling and querying data in NoSQL databases. - Karamjit Kaur; Rinkle Rani (IEEE BigData, 2013)

Managing Data in Healthcare Information Systems: Many Models, One Solution. - Karamjit Kaur; Rinkle Rani (Computer, 2015)

A Security Model based on Reputation and Collaboration through Route-Request in Mobile Ad Hoc Networks. - Anjali Anand; Rinkle Rani; Himanshu Aggarwal (KSII Trans. Internet Inf. Syst., 2015)

A Smart Polyglot Solution for Big Data in Healthcare. - Karamjit Kaur; Rinkle Rani (IT Prof., 2015)

Segmentation of retail customers based on cluster analysis in building successful CRM. - Gaurav Gupta; Himanshu Aggarwal; Rinkle Rani (Int. J. Bus. Inf. Syst., 2016)

Energy Efficient and Secure Multipoint Relay Selection in Mobile Ad hoc Networks. - Anjali Anand; Rinkle Rani; Himanshu Aggarwal (KSII Trans. Internet Inf. Syst., 2016)

Partially distributed dynamic model for secure and reliable routing in mobile ad hoc networks. - Anjali Anand; Himanshu Aggarwal; Rinkle Rani (J. Commun. Networks, 2016)

An efficient algorithm for sampling of a single large graph. - Vandana Bhatia; Rinkle Rani (IC3, 2017)

A parallel fuzzy clustering algorithm for large graphs using Pregel. - Vandana Bhatia; Rinkle Rani (Expert Syst. Appl., 2017)

An efficient approach for outlier detection in big sensor data of health care. - Bharti Saneja; Rinkle Rani (Int. J. Commun. Syst., 2017)

Local graph based correlation clustering. - Divya Pandove; Rinkle Rani; Shivani Goel (Knowl. Based Syst., 2017)

Big Data Framework for Zero-Day Malware Detection. - Deepak Gupta 005; Rinkle Rani (Cybern. Syst., 2018)

BE-DTI': Ensemble framework for drug target interaction prediction using dimensionality reduction and active learning. - Aman Sharma; Rinkle Rani (Comput. Methods Programs Biomed., 2018)

PFCA: An influence-based parallel fuzzy clustering algorithm for large complex networks. - Vandana Bhatia; Rinkle Rani (Expert Syst. J. Knowl. Eng., 2018)

Correlation clustering methodologies and their fundamental results. - Divya Pandove; Shivani Goel; Rinkle Rani (Expert Syst. J. Knowl. Eng., 2018)

Ap-FSM: A parallel algorithm for approximate frequent subgraph mining using Pregel. - Vandana Bhatia; Rinkle Rani (Expert Syst. Appl., 2018)

An Adaptive Security Model for Dynamic Node Behaviour in MANETs. - Anjali Anand; Rinkle Rani; Himanshu Aggarwal (KSII Trans. Internet Inf. Syst., 2018)

An integrated framework for identification of effective and synergistic anti-cancer drug combinations. - Aman Sharma; Rinkle Rani (J. Bioinform. Comput. Biol., 2018)

KSRMF: Kernelized similarity based regularized matrix factorization framework for predicting anti-cancer drug responses. - Aman Sharma; Rinkle Rani (J. Intell. Fuzzy Syst., 2018)

An intuitive general rank-based correlation coefficient. - Divya Pandove; Shivani Goel; Rinkle Rani (Frontiers Inf. Technol. Electron. Eng., 2018)

DFuzzy: a deep learning-based fuzzy clustering model for large graphs. - Vandana Bhatia; Rinkle Rani (Knowl. Inf. Syst., 2018)

Systematic Review of Clustering High-Dimensional and Large Datasets. - Divya Pandove; Shivani Goel; Rinkle Rani (ACM Trans. Knowl. Discov. Data, 2018)

General correlation coefficient based agglomerative clustering. - Divya Pandove; Shivani Goel; Rinkle Rani (Clust. Comput., 2019)

C-HMOSHSSA: Gene selection for cancer classification using multi-objective meta-heuristic and machine learning methods. - Aman Sharma; Rinkle Rani (Comput. Methods Programs Biomed., 2019)

A distributed overlapping community detection model for large graphs using autoencoder. - Vandana Bhatia; Rinkle Rani (Future Gener. Comput. Syst., 2019)

A scalable correlation-based approach for outlier detection in wireless body sensor networks. - Bharti Saneja; Rinkle Rani (Int. J. Commun. Syst., 2019)

A study of big data evolution and research challenges. - Deepak Gupta 005; Rinkle Rani (J. Inf. Sci., 2019)

Diagnosis of Parkinson's Disease Using Principle Component Analysis and Deep Learning. - Sukhpal Kaur; Himanshu Aggarwal; Rinkle Rani (J. Medical Imaging Health Informatics, 2019)

Improving malware detection using big data and ensemble learning. - Deepak Gupta 005; Rinkle Rani (Comput. Electr. Eng., 2020)

Scalable Recommendation Using Large Scale Graph Partitioning With Pregel and Giraph. - Gourav Bathla; Himanshu Aggarwal; Rinkle Rani (Int. J. Cogn. Informatics Nat. Intell., 2020)

An Efficient Clustering Algorithm for Mixed Dataset of Postoperative Surgical Records. - Hemant Petwal; Rinkle Rani (Int. J. Comput. Intell. Syst., 2020)

Ontology driven human activity recognition in heterogeneous sensor measurements. - Diksha Hooda; Rinkle Rani (J. Ambient Intell. Humaniz. Comput., 2020)

Prioritizing the Surgical Waiting List-Cosine Consistency Index: An Optimized Framework for Prioritizing Surgical Waiting List. - Hemant Petwal; Rinkle Rani (J. Medical Imaging Health Informatics, 2020)

Drug sensitivity prediction framework using ensemble and multi-task learning. - Aman Sharma; Rinkle Rani (Int. J. Mach. Learn. Cybern., 2020)

AutoTrustRec: Recommender System with Social Trust and Deep Learning using AutoEncoder. - Gourav Bathla; Himanshu Aggarwal; Rinkle Rani (Multim. Tools Appl., 2020)

Hyper-parameter optimization of deep learning model for prediction of Parkinson's disease. - Sukhpal Kaur; Himanshu Aggarwal; Rinkle Rani (Mach. Vis. Appl., 2020)

A graph-based model to improve social trust and influence for social recommendation. - Gourav Bathla; Himanshu Aggarwal; Rinkle Rani (J. Supercomput., 2020)

Blockchain-based framework for secured storage, sharing, and querying of electronic healthcare records. - Jasleen Kaur; Rinkle Rani; Nidhi Kalra (Concurr. Comput. Pract. Exp., 2021)

Diagnosis of Parkinson's disease using deep CNN with transfer learning and data augmentation. - Sukhpal Kaur; Himanshu Aggarwal; Rinkle Rani (Multim. Tools Appl., 2021)

An efficient approach for detecting anomalous events in real-time weather datasets. - Shruti Arora; Rinkle Rani; Nitin Saxena 002 (Concurr. Comput. Pract. Exp., 2022)

Modified valence aware dictionary for sentiment reasoning classifier for detection and classification of Covid-19 related rumors from social media data streams. - Shruti Arora; Rinkle Rani; Nitin Saxena 002 (Concurr. Comput. Pract. Exp., 2022)

An interval type-2 fuzzy ontological model: Predicting water quality from sensory data. - Diksha Hooda; Rinkle Rani (Concurr. Comput. Pract. Exp., 2022)

A Blockchain-based Framework for Privacy Preservation of Electronic Health Records (EHRs). - Jasleen Kaur; Rinkle Rani; Nidhi Kalra (Trans. Emerg. Telecommun. Technol., 2022)

An Ontology driven model for detection and classification of cardiac arrhythmias using ECG data. - Diksha Hooda; Rinkle Rani (J. Intell. Inf. Syst., 2022)

Stocks of year 2020: prediction of high variations in stock prices using LSTM. - Gourav Bathla; Rinkle Rani; Himanshu Aggarwal (Multim. Tools Appl., 2023)

CKELM: Unified Approach to Parking Space Classification for All Weather Types. - Navpreet; Rajendra Kumar Roul; Rinkle Rani (BDA, 2024)

Attribute-based access control scheme for secure storage and sharing of EHRs using blockchain and IPFS. - Jasleen Kaur; Rinkle Rani; Nidhi Kalra (Clust. Comput., 2024)

Analyzing fuzzy semantics of reviews for multi-criteria recommendations. - Navreen Kaur Boparai; Himanshu Aggarwal; Rinkle Rani (Data Knowl. Eng., 2024)

A multilayered framework for diagnosis and classification of Alzheimer's disease using transfer learned Alexnet and LSTM. - Palak Goyal; Rinkle Rani; Karamjeet Singh (Neural Comput. Appl., 2024)

A systematic review on detection and adaptation of concept drift in streaming data using machine learning techniques. - Shruti Arora; Rinkle Rani; Nitin Saxena 002 (WIREs Data. Mining. Knowl. Discov., 2024)

Comparative Analysis of Machine Learning, Ensemble Learning and Deep Learning Classifiers for Parkinson's Disease Detection. - Palak Goyal; Rinkle Rani (SN Comput. Sci., 2024)

Soundtrack Success: Unveiling Song Popularity Patterns Using Machine Learning Implementation. - Shruti Arora; Rinkle Rani (SN Comput. Sci., 2024)

SETL: a transfer learning based dynamic ensemble classifier for concept drift detection in streaming data. - Shruti Arora; Rinkle Rani; Nitin Saxena 002 (Clust. Comput., 2024)

Integration of VCNN models with RVFLwoDL to boost the parking space classification. - Navpreet; Rajendra Kumar Roul; Rinkle Rani (Comput. Electr. Eng., 2025)

Healthcare Data Security and Privacy Protection Framework Based on Dual Channel Blockchain. - Jasleen Kaur; Rinkle Rani; Nidhi Kalra (Trans. Emerg. Telecommun. Technol., 2025)

Cultivating road safety: A comprehensive examination of intelligent ensemble-based road crack detection. - Navpreet; Rajendra Kumar Roul; Rinkle Rani (Multim. Tools Appl., 2025)