A Study of Feature Reduction Techniques and Classification for Network Anomaly Detection. - Meenal Jain; Gagandeep Kaur (J. Comput. Inf. Technol., 2019)

A comparison of two blending-based ensemble techniques for network anomaly detection in Spark distributed environment. - Gagandeep Kaur; Meenal Jain (Int. J. Ad Hoc Ubiquitous Comput., 2020)

Distributed anomaly detection using concept drift detection based hybrid ensemble techniques in streamed network data. - Meenal Jain; Gagandeep Kaur (Clust. Comput., 2021)

A K-Means clustering and SVM based hybrid concept drift detection technique for network anomaly detection. - Meenal Jain; Gagandeep Kaur; Vikas Saxena (Expert Syst. Appl., 2022)

An ECOSVS-based support vector machine for network anomaly detection. - Meenal Jain; Vikas Saxena (Int. J. Data Anal. Tech. Strateg., 2022)

Dish Detection in Indian Food Platters: A Computational Framework for Diet Management. - Mansi Goel; Shashank Dargar; Shounak Ghatak; Nidhi Verma; Pratik Chauhan; Anushka Gupta; Nikhila Vishnumolakala; Hareesh Amuru; Ekta Gambhir; Ronak Chhajed; Meenal Jain; Astha Jain; et al. (CVIP (1), 2023)

AdaBoost based hybrid concept drift detection approach for mental health prediction. - Meenal Jain; Saksham Gupta; Geetali Agarwal; Kritarth Bansal (IC3, 2023)

Dish detection in food platters: A framework for automated diet logging and nutrition management. - Mansi Goel; Shashank Dargar; Shounak Ghatak; Nidhi Verma; Pratik Chauhan; Anushka Gupta; Nikhila Vishnumolakala; Hareesh Amuru; Ekta Gambhir; Ronak Chhajed; Meenal Jain; Astha Jain; et al. (CoRR, 2023)

A study of feature reduction techniques and classification for network intrusion detection. - Meenal Jain; Gagandeep Kaur (Int. J. Adv. Intell. Paradigms, 2024)