A Comprehensive Review of Image Enhancement Techniques - Raman Maini; Himanshu Aggarwal (CoRR, 2010)

Artificial Neural Network based Diagnostic Model For Causes of Success and Failures - Bikrampal Kaur; Himanshu Aggarwal (CoRR, 2010)

Designing a SOA based model. - Ashish Seth; Himanshu Aggarwal; Ashim Raj Singla (ACM SIGSOFT Softw. Eng. Notes, 2011)

Service Oriented Architecture Adoption Trends: A Critical Survey. - Ashish Seth; Ashim Raj Singla; Himanshu Aggarwal (IC3, 2012)

Testing and Evaluation of Service Oriented Systems - Ashish Seth; Himanshu Aggarwal; Ashim Raj Singla (CoRR, 2013)

Unified Modeling Language for Describing Business Value Chain Activities - Ashish Seth; Himanshu Aggarwal; Ashim Raj Singla (CoRR, 2013)

Framework for business values chain activities using SOA and cloud. - Ashish Seth; Himanshu Aggarwal; Ashim Raj Singla (Int. J. Inf. Technol. Commun. Convergence, 2013)

Status of e-governance in the state of Punjab (India): an analytical study. - Sushil Kumar Singla; Himanshu Aggarwal (Electron. Gov. an Int. J., 2014)

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)

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)

Computing Egomotion with Local Loop Closures for Egocentric Videos. - Suvam Patra; Himanshu Aggarwal; Himani Arora; Subhashis Banerjee; Chetan Arora 001 (WACV, 2017)

Evaluation of Indian universities' websites in terms of information quality: differences in the perspectives of end users segments based on their socio-demographic characteristics. - Bhim Sain Singla; Himanshu Aggarwal (Int. J. Bus. Inf. Syst., 2018)

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

Covariate Conscious Approach for Gait Recognition Based Upon Zernike Moment Invariants. - Himanshu Aggarwal; Dinesh Kumar Vishwakarma (IEEE Trans. Cogn. Dev. Syst., 2018)

Supervised Generative Adversarial Cross-Modal Hashing by Transferring Pairwise Similarities for Venue Discovery. - Himanshu Aggarwal; Rajiv Ratn Shah; Suhua Tang; Feida Zhu 001 (BigMM, 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)

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

Effect of Information Architecture on the Usability of a University Website: A Comparative Study of Selected Websites of Punjab (India). - Bhim Sain Singla; Himanshu Aggarwal (Int. J. Distributed Syst. Technol., 2020)

A Set of Usability Heuristics and Design Recommendations for Higher Education Institutions' Websites. - Bhim Sain Singla; Himanshu Aggarwal (Int. J. Inf. Syst. Model. Des., 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)

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

A systematic review of task scheduling approaches in fog computing. - Sumit Bansal; Himanshu Aggarwal; Mayank Aggarwal (Trans. Emerg. Telecommun. Technol., 2022)

Quantum Grey Wolf optimisation and evolutionary algorithms for diagnosis of Alzheimer's disease. - Moolchand Sharma; Shubbham Gupta; Himanshu Aggarwal; Tarun Aggarwal; Deepak Gupta 002; Ashish Khanna (Int. J. Model. Identif. Control., 2022)

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

Analyses code for the validation study of the CNeuromod controller. - Yann Harel; André Cyr; Julie Boyle; Basile Pinsard; Jeremy Bernard; Marie-France Fourcade; Himanshu Aggarwal; Ana Fernanda Ponce; Bertrand Thirion; Karim Jerbi; Pierre Bellec (Zenodo, 2023)

nilearn. - Nilearn Contributors; Ahmad Chamma; Aina Frau-Pascual; Alex Rothberg; Alexandre Abadie; Alexandre Abraham; Alexandre Gramfort; Alexandre Savio; Alexandre Cionca; Alexis Thual; Alisha Kodibagkar; Amadeus Kanaan; et al. (Zenodo, 2023)

Across-Subject Ensemble-Learning Alleviates the Need for Large Samples for fMRI Decoding. - Himanshu Aggarwal; Liza Al-Shikhley; Bertrand Thirion (MICCAI (3), 2024)

Across-subject ensemble-learning alleviates the need for large samples for fMRI decoding. - Himanshu Aggarwal; Liza Al-Shikhley; Bertrand Thirion (Zenodo, 2024)

Meta-heuristic Algorithms for Double Roman Domination Problem. - Himanshu Aggarwal; P. Venkata Subba Reddy 001 (Appl. Soft Comput., 2024)

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

nilearn. - Nilearn Contributors; Ahmad Chamma; Aina Frau-Pascual; Alex Rothberg; Alexandre Abadie; Alexandre Abraham; Alexandre Gramfort; Alexandre Savio; Alexandre Cionca; Alexis Thual; Alisha Kodibagkar; Amadeus Kanaan; et al. (Zenodo, 2024)

nilearn. - Nilearn Contributors; Ahmad Chamma; Aina Frau-Pascual; Alex Rothberg; Alexandre Abadie; Alexandre Abraham; Alexandre Gramfort; Alexandre Savio; Alexandre Cionca; Alexis Thual; Alisha Kodibagkar; Amadeus Kanaan; et al. (Zenodo, 2024)

An Efficient Workflow Scheduling in Cloud-Fog Computing Environment Using a Hybrid Particle Whale Optimization Algorithm. - Sumit Bansal; Himanshu Aggarwal (Wirel. Pers. Commun., 2024)

A multiobjective optimization of task workflow scheduling using hybridization of PSO and WOA algorithms in cloud-fog computing. - Sumit Bansal; Himanshu Aggarwal (Clust. Comput., 2024)

nilearn. - Nilearn Contributors; Ahmad Chamma; Aina Frau-Pascual; Alex Rothberg; Alexandre Abadie; Alexandre Abraham; Alexandre Gramfort; Alexandre Savio; Alexandre Cionca; Alexandre Sayal; Alexis Thual; Alisha Kodibagkar; et al. (Zenodo, 2024)

nilearn. - Nilearn Contributors; Ahmad Chamma; Aina Frau-Pascual; Alex Rothberg; Alexandre Abadie; Alexandre Abraham; Alexandre Gramfort; Alexandre Savio; Alexandre Cionca; Alexandre Sayal; Alexis Thual; Alisha Kodibagkar; et al. (Zenodo, 2024)

nilearn. - Nilearn Contributors; Ahmad Chamma; Aina Frau-Pascual; Alex Rothberg; Alexandre Abadie; Alexandre Abraham; Alexandre Gramfort; Alexandre Savio; Alexandre Cionca; Alexandre Sayal; Alexis Thual; Alisha Kodibagkar; et al. (Zenodo, 2024)

nilearn. - Nilearn Contributors; Ahmad Chamma; Aina Frau-Pascual; Alex Rothberg; Alexandre Abadie; Alexandre Abraham; Alexandre Gramfort; Alexandre Savio; Alexandre Cionca; Alexandre Sayal; Alexis Thual; Alisha Kodibagkar; et al. (Zenodo, 2025)

nilearn. - Nilearn Contributors; Ahmad Chamma; Aina Frau-Pascual; Alex Rothberg; Alexandre Abadie; Alexandre Abraham; Alexandre Gramfort; Alexandre Savio; Alexandre Cionca; Alexandre Sayal; Alexis Thual; Alisha Kodibagkar; et al. (Zenodo, 2025)