Efficient regression test selection and recommendation approach for component based software. - Janhavi; Ashima Singh (ICACCI, 2014)

Gray testing support in software repository with keyword based extraction. - Inderjit Singh; Ashima Singh (ICACCI, 2014)

Computational study of new 1, 2, 3-triazole derivative of lithocholic acid: Structural aspects, non-linear optical properties and molecular docking studies as potential PTP 1B enzyme inhibitor. - Ashima Singh; Harjinder Singh; J. M. Khurana (Comput. Biol. Chem., 2019)

RGIM: An Integrated Approach to Improve QoS in AODV, DSR and DSDV Routing Protocols for FANETS Using the Chain Mobility Model. - Parampreet Kaur; Ashima Singh; Sukhpal Singh Gill (Comput. J., 2020)

An innovative two-stage data compression scheme using adaptive block merging technique. - Harpreet Vohra; Ashima Singh; Sukhpal Singh Gill (Integr., 2020)

DeepBus: Machine learning based real time pothole detection system for smart transportation using IoT. - Kashish Bansal; Kashish Mittal; Gautam Ahuja; Ashima Singh; Sukhpal Singh Gill (Internet Technol. Lett., 2020)

Measuring the maturity of Indian small and medium enterprises for unofficial readiness for capability maturity model integration-based software process improvement. - Ashima Singh; Sukhpal Singh Gill (J. Softw. Evol. Process., 2020)

GA-UNet: UNet-based framework for segmentation of 2D and 3D medical images applicable on heterogeneous datasets. - Amrita Kaur; Lakhwinder Kaur; Ashima Singh (Neural Comput. Appl., 2021)

eDiaPredict: An Ensemble-based Framework for Diabetes Prediction. - Ashima Singh; Arwinder Dhillon; Neeraj Kumar 001; M. Shamim Hossain; Ghulam Muhammad; Manoj Kumar 008 (ACM Trans. Multim. Comput. Commun. Appl., 2021)

DeepEvap: Deep reinforcement learning based ensemble approach for estimating reference evapotranspiration. - Gitika Sharma; Ashima Singh; Sushma Jain (Appl. Soft Comput., 2022)

Hybrid deep learning techniques for estimation of daily crop evapotranspiration using limited climate data. - Gitika Sharma; Ashima Singh; Sushma Jain (Comput. Electron. Agric., 2022)

IoTPulse: machine learning-based enterprise health information system to predict alcohol addiction in Punjab (India) using IoT and fog computing. - Arwinder Dhillon; Ashima Singh; Harpreet Vohra; Caroline Ellis; Blesson Varghese; Sukhpal Singh Gill (Enterp. Inf. Syst., 2022)

BSense: A parallel Bayesian hyperparameter optimized Stacked ensemble model for breast cancer survival prediction. - Parampreet Kaur; Ashima Singh; Inderveer Chana (J. Comput. Sci., 2022)

A hybrid deep neural network approach to estimate reference evapotranspiration using limited climate data. - Gitika Sharma; Ashima Singh; Sushma Jain (Neural Comput. Appl., 2022)

Correction to: A hybrid deep neural network approach to estimate reference evapotranspiration using limited climate data. - Gitika Sharma; Ashima Singh; Sushma Jain (Neural Comput. Appl., 2022)

Software system to predict the infection in COVID-19 patients using deep learning and web of things. - Ashima Singh; Amrita Kaur; Arwinder Dhillon; Sahil Ahuja; Harpreet Vohra (Softw. Pract. Exp., 2022)

State of Health Estimation for Li-Ion Battery Using Machine Learning. - Riya Sharma; Anju Bala; Ashima Singh; Mukesh Singh (MetroXRAINE, 2023)

Biomarker identification and cancer survival prediction using random spatial local best cat swarm and Bayesian optimized DNN. - Arwinder Dhillon; Ashima Singh; Vinod Kumar Bhalla (Appl. Soft Comput., 2023)

iMVAN: integrative multimodal variational autoencoder and network fusion for biomarker identification and cancer subtype classification. - Arwinder Dhillon; Ashima Singh; Vinod Kumar Bhalla (Appl. Intell., 2023)

DeepCONN: patch-wise deep convolutional neural networks for the segmentation of multiple sclerosis brain lesions. - Amrita Kaur; Lakhwinder Kaur; Ashima Singh (Multim. Tools Appl., 2024)

HBS-STACK: hierarchical biomarker selection and stacked ensemble model for biomarker identification and cancer prediction on multi-omics. - Arwinder Dhillon; Ashima Singh; Vinod Kumar Bhalla (Neural Comput. Appl., 2024)