Classification of plant diseases using machine and deep learning. - Monika Lamba; Yogita Gigras; Anuradha Dhull (Open Comput. Sci., 2021)

A hybrid gene selection model for molecular breast cancer classification using a deep neural network. - Monika Lamba; Geetika Munjal 001; Yogita Gigras (Int. J. Appl. Pattern Recognit., 2021)

A MCDM-based performance of classification algorithms in breast cancer prediction for imbalanced datasets. - Monika Lamba; Geetika Munjal 001; Yogita Gigras (Int. J. Intell. Eng. Informatics, 2021)

Crime Alert Through Smart Surveillance Using Deep Learning Techniques. - Aarushi Dua; Bhavya Kalra; Abhishek Bhatia; Mauktik Madan; Anuradha Dhull; Yogita Gigras (ICIMMI, 2022)

Identifying breast cancer molecular class using integrated feature selection and deep learning model. - Monika Lamba; Geetika Munjal 001; Yogita Gigras (Int. J. Bioinform. Res. Appl., 2023)

Breast cancer prediction and categorization in the molecular era of histologic grade. - Monika Lamba; Geetika Munjal 001; Yogita Gigras; Manoj Kumar 009 (Multim. Tools Appl., 2023)

Ranking of Classification Algorithm in Breast Cancer Based On Estrogen Receptor Using MCDM Technique. - Monika Lamba; Geetika Munjal 001; Yogita Gigras (Int. J. Inf. Technol. Decis. Mak., 2023)