Unsupervised outlier detection in streaming data using weighted clustering. - Yogita Thakran; Durga Toshniwal (ISDA, 2012)

A Novel Rough Set Based Clustering Approach for Streaming Data. - Yogita Thakran; Durga Toshniwal (SocProS, 2012)

A Novel Agglomerative Hierarchical Approach for Clustering in Medical Databases. - Yogita Thakran; Durga Toshniwal (ISI, 2013)

Variance and density-based anomaly identification and ranking for evolving data streams. - Yogita Thakran; Durga Toshniwal (Int. J. Comput. Intell. Stud., 2014)

Analytical and Simulation Modeling to Analyze Reliability State of Wireless Sensor Networks. - Vipin Pal; Yogita 001; Girdhari Singh; R. P. Yadav (WorldCIST (1), 2015)

Data-Driven Extraction of Quantitative Multi-dimensional Associations of Cardiovascular Drugs and Adverse Drug Reactions. - Upasana Chutia; Jerry W. Sangma; Vipin Pal; Yogita 001 (PACBB, 2019)

Water Leakage Detection in Hilly Region PVC Pipes using Wireless Sensors and Machine Learning. - Soumen Moulik; Shubhankar Majumdar; Vipin Pal; Yogita Thakran (ICCE-TW, 2020)

Predicting Adverse Drug Reactions from Drug Functions by Binary Relevance Multi-label Classification and MLSMOTE. - Pranab Das; Jerry W. Sangma; Vipin Pal; Yogita 001 (PACBB, 2021)

Detecting Sinkhole Attacks in IoT-Based Wireless Sensor Networks Using Distance From Base Station. - Koushik Mondal; Satyendra Singh Yadav; Vipin Pal; Akhilendra Pratap Singh; Yogita 001; Mangal Singh (Int. J. Inf. Syst. Model. Des., 2022)

Integrative analysis of chemical properties and functions of drugs for adverse drug reaction prediction based on multi-label deep neural network. - Pranab Das; Yogita 001; Vipin Pal (J. Integr. Bioinform., 2022)

Fuzzy and Rough Set Theory Based Computational Framework for Mining Genetic Interaction Triplets From Gene Expression Profiles for Lung Adenocarcinoma. - Subhasree Majumder; Yogita Thakran; Vipin Pal; Kuldeep Singh 002 (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Comparative Analysis of Word Embedding and Machine Learning Techniques for Classification of Software Developer Communications on Gitter. - Tumu Akshar; Lov Kumar; Yogita 001; Lalita Bhanu Murthy Neti (FedCSIS, 2023)

BRMCF: Binary Relevance and MLSMOTE Based Computational Framework to Predict Drug Functions From Chemical and Biological Properties of Drugs. - Pranab Das; Yogita Thakran; S. R. Ngamwal Anal; Vipin Pal; Anju Yadav (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

FHC-NDS: Fuzzy Hierarchical Clustering of Multiple Nominal Data Streams. - Jerry W. Sangma; Yogita 001; Vipin Pal; Neeraj Kumar 001; Riti Kushwaha (IEEE Trans. Fuzzy Syst., 2023)

Intelligent Reflecting Surface Aided NOMA-HARQ Based IoT Framework for Future Wireless Networks. - Debbarni Sarkar; Satyendra Singh Yadav; Vipin Pal; Yogita 001; Neeraj Kumar 001 (IEEE Trans. Veh. Technol., 2023)

NADR-Net: A Deep Learning Framework for Predicting Neurological Adverse Drug Reactions Using 17 Molecular Descriptors. - Anushka Chaurasia; Deepak Kumar; Yogita 001 (SCI, 2024)

Sequence Labelling with 2 Level Segregation (SL2LS): A framework to extract COVID-19 vaccine adverse drug reactions from Twitter data. - S. R. Ngamwal Anal; Yogita 001; Vipin Pal (Expert Syst. Appl., 2024)

Machine learning-based computation offloading in multi-access edge computing: A survey. - Alok Choudhury; Manojit Ghose; Akhirul Islam; Yogita 001 (J. Syst. Archit., 2024)

HSCR: Hierarchical structured cluster routing protocol for load balanced wireless sensor networks. - Saumitra Gangwar; Ikkurthi Bhanu Prasad; Yogita 001; Satyendra Singh Yadav; Vipin Pal; Sarat Kumar Patra (Softw. Pract. Exp., 2024)

A Comprehensive Survey on IRS-Assisted NOMA-Based 6G Wireless Network: Design Perspectives, Challenges and Future Directions. - Debbarni Sarkar; Yogita 001; Satyendra Singh Yadav; Vipin Pal; Neeraj Kumar 001; Sarat Kumar Patra (IEEE Trans. Netw. Serv. Manag., 2024)

DARCVAA: A Deep Neural Networks Based Framework for Detecting Adverse Reactions of COVID-19 Vaccines and Association Analysis. - S. R. Ngamwal Anal; Yogita 001; Vipin Pal; Anshul Verma (SN Comput. Sci., 2024)

TDRA: Transformer-Based Deep Recurrent Architecture for Automatic Modulation Classification Pertinent to Intelligent-Reflecting-Surface-Assisted Internet of Things Networks. - Debbarni Sarkar; Yogita 001; Satyendra Singh Yadav; Linga Reddy Cenkeramaddi; Om Jee Pandey (IEEE Internet Things J., 2024)

Performance Evaluation of ML-Based Classifiers for IRS-Aided NOMA-Based 6G Cognitive Radio Networks. - Debbarni Sarkar; Satyendra Singh Yadav; Vipin Pal; Yogita 001; Sarat Kumar Patra (Wirel. Pers. Commun., 2024)

PregAN-NET: Addressing Class Imbalance with GANs in Interpretable Computational Framework for Predicting Safety Profile of Drugs Considering Adverse Reactions During Pregnancy. - Anushka Chaurasia; Deepak Kumar; Yogita 001 (J. Biomed. Informatics, 2025)

Predicting DDI-induced pregnancy and neonatal ADRs using sparse PCA and stacking ensemble approach. - Anushka Chaurasia; Deepak Kumar; Yogita 001 (J. Integr. Bioinform., 2025)