Himanshu Aggarwal

According to our database, Himanshu Aggarwal authored at least 36 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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., November, 2024

An Efficient Workflow Scheduling in Cloud-Fog Computing Environment Using a Hybrid Particle Whale Optimization Algorithm.

Sumit Bansal, Himanshu Aggarwal

Wirel. Pers. Commun., July, 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, Ana Luísa Pinho, Andrés Hoyos Idrobo, Anne-Sophie Kieslinger, Ariel Rokem, Arthur Mensch, Aswin Vijayan, Audrey Duran, Ben Cipollini, Bertrand Thirion, Binh Nguyen, Caglar Cakan, Chris Gorgolewski, Chris Markiewicz, Christian Horea, Christian Gerloff, Christina Roßmanith, Colin Reininger, Connor Lane, Czarina Sy, Céline Delettre, Dan Gale, Daniel Gomez, Danilo Bzdok, David G. Ellis, Demian Wassermann, Derek Pisner, Dimitri Papadopoulos Orfanos, Elizabeth DuPre, Elvis Dohmatob, Eric Larson, Evan Edmond, Fabian Pedregosa, Franz Liem, François Paugam, Gaël Varoquaux, Gilles de Hollander, Gregory Kiar, Greydon Gilmore, Guillaume Lemaitre, Hao-Ting Wang, Himanshu Aggarwal, Ian Abenes, Jake Vogel, Ján Margeta, Jaques Grobler, Jason Gors, Javier Rasero, Jean Kossaifi, Jean-Rémi King, Jelle Roelof Dalenberg, Jeremy Lefort-Besnard, Jérôme Dockès, Jérôme-Alexis Chevalier, Johannes Wiesner, Jon Haitz Legarreta Gorrono, Jona Sassenhagen, Jordi Huguet, Joshua Teves, Julia M. Huntenburg, Julio A. Peraza-Goicolea, Kamalakar Reddy Daddy, Kevin R. Sitek, Koen Helwegen, Konrad Wagstyl, Konstantin Shmelkov, Kshitij Chawla, Kun Chen, Leonard Sasse, Loic Estève, Loïc Tetrel, Luz Paz, Manon Pietrantoni, Martin Perez-Guevara, Martin Wegrzyn, Mathias Goncalves, Mathieu Dugré, Matthias Ekman, Matthieu Joulot, Maximilian Cosmo Sitter, Mehdi Rahim, Mia Zwally, Michael Eickenberg, Michael Hanke, Michael Notter, Michael Waskom, Michelle Wang, Mohammad Torabi, Moritz Boos, Myeong Seop Song, Natasha Clarke, Neelay Shah, Nicolas Gensollen, Nikhil Krish, Oliver Warrington, Oscar Esteban, Patrick S. Sadil, Paul Bogdan, Paul Reiners, Paula Sanz-Leon, Peer Herholz, Philippe Gervais, Pierre Bellec, Pierre Glaser, Pierre-Olivier Quirion, Pradeep Reddy Raamana, Rahul Brito, Raphaël Meudec, Robert Luke, Robert Williamson, Roberto Guidotti, Ronald Phlypo, Ryan Hammonds, Rémi Gau, Sachin Patalasingh, Sage Hahn, Salma Bougacha, Sam Buck Johnson, Sami Jawhar, Simon Steinkamp, Sourav Singh, Steven L. Meisler, Suramya Pokharel, Sylvain Lan, Sylvain Takerkart, Tamer Gezici, Tarun Samanta, Taylor Salo, Thomas Bazeille, Tom Vanasse, Vasco Diogo, Vincent Michel, Virgile Fritsch, Yaroslav O. Halchenko, Yasmin Mzayek, Zvi Baratz, Óscar Nájera

Dataset, January, 2024

Analyzing fuzzy semantics of reviews for multi-criteria recommendations.

Navreen Kaur Boparai, Himanshu Aggarwal, Rinkle Rani

Data Knowl. Eng., 2024

Meta-heuristic Algorithms for Double Roman Domination Problem.

Himanshu Aggarwal, P. Venkata Subba Reddy

Appl. Soft Comput., 2024

Across-Subject Ensemble-Learning Alleviates the Need for Large Samples for fMRI Decoding.

Himanshu Aggarwal, Liza Al-Shikhley, Bertrand Thirion

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

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, Ana Luísa Pinho, Andrés Hoyos Idrobo, Anne-Sophie Kieslinger, Ariel Rokem, Arthur Mensch, Aswin Vijayan, Audrey Duran, Ben Cipollini, Bertrand Thirion, Binh Nguyen, Caglar Cakan, Chris Gorgolewski, Chris Markiewicz, Christian Horea, Christian Gerloff, Colin Reininger, Connor Lane, Czarina Sy, Céline Delettre, Dan Gale, Daniel Gomez, Danilo Bzdok, David G. Ellis, Demian Wassermann, Derek Pisner, Dimitri Papadopoulos Orfanos, Elizabeth DuPre, Elvis Dohmatob, Eric Larson, Evan Edmond, Fabian Pedregosa, Franz Liem, François Paugam, Gaël Varoquaux, Gilles de Hollander, Gregory Kiar, Greydon Gilmore, Guillaume Lemaitre, Hao-Ting Wang, Himanshu Aggarwal, Ian Abenes, Jake Vogel, Ján Margeta, Jaques Grobler, Jason Gors, Javier Rasero, Jean Kossaifi, Jean-Rémi King, Jelle Roelof Dalenberg, Jeremy Lefort-Besnard, Jérôme Dockès, Jérôme-Alexis Chevalier, Johannes Wiesner, Jon Haitz Legarreta Gorrono, Jona Sassenhagen, Joshua Teves, Julia M. Huntenburg, Julio A. Peraza-Goicolea, Kamalakar Reddy Daddy, Kevin R. Sitek, Koen Helwegen, Konrad Wagstyl, Konstantin Shmelkov, Kshitij Chawla, Kun Chen, Leonard Sasse, Loic Estève, Loïc Tetrel, Luz Paz, Manon Pietrantoni, Martin Perez-Guevara, Martin Wegrzyn, Mathias Goncalves, Mathieu Dugré, Matthias Ekman, Matthieu Joulot, Maximilian Cosmo Sitter, Mehdi Rahim, Michael Eickenberg, Michael Hanke, Michael Notter, Michael Waskom, Michelle Wang, Mohammad Torabi, Moritz Boos, Myeong Seop Song, Natasha Clarke, Neelay Shah, Nicolas Gensollen, Oliver Warrington, Oscar Esteban, Patrick S. Sadil, Paul Bogdan, Paula Sanz-Leon, Peer Herholz, Philippe Gervais, Pierre Bellec, Pierre Glaser, Pierre-Olivier Quirion, Pradeep Reddy Raamana, Rahul Brito, Raphaël Meudec, Robert Luke, Robert Williamson, Roberto Guidotti, Ronald Phlypo, Ryan Hammonds, Rémi Gau, Sachin Patalasingh, Sage Hahn, Salma Bougacha, Sam Buck Johnson, Sami Jawhar, Simon Steinkamp, Sourav Singh, Steven L. Meisler, Sylvain Lan, Sylvain Takerkart, Tarun Samanta, Taylor Salo, Thomas Bazeille, Tom Vanasse, Vasco Diogo, Vincent Michel, Virgile Fritsch, Yaroslav O. Halchenko, Yasmin Mzayek, Zvi Baratz, Óscar Nájera

Dataset, October, 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

Dataset, April, 2023

Stocks of year 2020: prediction of high variations in stock prices using LSTM.

Gourav Bathla, Rinkle Rani, Himanshu Aggarwal

Multim. Tools Appl., March, 2023

2022

Quantum Grey Wolf optimisation and evolutionary algorithms for diagnosis of Alzheimer's disease.

Moolchand Sharma, Shubbham Gupta, Himanshu Aggarwal, Tarun Aggarwal, Deepak Gupta, Ashish Khanna

Int. J. Model. Identif. Control., 2022

A systematic review of task scheduling approaches in fog computing.

Sumit Bansal, Himanshu Aggarwal, Mayank Aggarwal

Trans. Emerg. Telecommun. Technol., 2022

2021

Diagnosis of Parkinson's disease using deep CNN with transfer learning and data augmentation.

Sukhpal Kaur, Himanshu Aggarwal, Rinkle Rani

Multim. Tools Appl., 2021

2020

A graph-based model to improve social trust and influence for social recommendation.

Gourav Bathla, Himanshu Aggarwal, Rinkle Rani

J. Supercomput., 2020

Hyper-parameter optimization of deep learning model for prediction of Parkinson's disease.

Sukhpal Kaur, Himanshu Aggarwal, Rinkle Rani

Mach. Vis. Appl., 2020

AutoTrustRec: Recommender System with Social Trust and Deep Learning using AutoEncoder.

Gourav Bathla, Himanshu Aggarwal, Rinkle Rani

Multim. Tools Appl., 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

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

Scalable Recommendation Using Large Scale Graph Partitioning With Pregel and Giraph.

Gourav Bathla, Himanshu Aggarwal, Rinkle Rani

Int. J. Cogn. Informatics Nat. Intell., 2020

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

Supervised Generative Adversarial Cross-Modal Hashing by Transferring Pairwise Similarities for Venue Discovery.

Himanshu Aggarwal, Rajiv Ratn Shah, Suhua Tang, Feida Zhu

Proceedings of the Fifth IEEE International Conference on Multimedia Big Data, 2019

2018

Covariate Conscious Approach for Gait Recognition Based Upon Zernike Moment Invariants.

Himanshu Aggarwal, Dinesh Kumar Vishwakarma

IEEE Trans. Cogn. Dev. Syst., 2018

An Adaptive Security Model for Dynamic Node Behaviour in MANETs.

Anjali Anand, Rinkle Rani, Himanshu Aggarwal

KSII Trans. Internet Inf. Syst., 2018

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

2017

Computing Egomotion with Local Loop Closures for Egocentric Videos.

Suvam Patra, Himanshu Aggarwal, Himani Arora, Subhashis Banerjee, Chetan Arora

Proceedings of the 2017 IEEE Winter Conference on Applications of Computer Vision, 2017

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

Energy Efficient and Secure Multipoint Relay Selection in Mobile Ad hoc Networks.

Anjali Anand, Rinkle Rani, Himanshu Aggarwal

KSII Trans. Internet Inf. Syst., 2016

Segmentation of retail customers based on cluster analysis in building successful CRM.

Gaurav Gupta, Himanshu Aggarwal, Rinkle Rani

Int. J. Bus. Inf. Syst., 2016

2015

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

2014

Status of e-governance in the state of Punjab (India): an analytical study.

Sushil Kumar Singla, Himanshu Aggarwal

Electron. Gov. an Int. J., 2014

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

Unified Modeling Language for Describing Business Value Chain Activities

Ashish Seth, Himanshu Aggarwal, Ashim Raj Singla

CoRR, 2013

Testing and Evaluation of Service Oriented Systems

Ashish Seth, Himanshu Aggarwal, Ashim Raj Singla

CoRR, 2013

2012

Service Oriented Architecture Adoption Trends: A Critical Survey.

Ashish Seth, Ashim Raj Singla, Himanshu Aggarwal

Proceedings of the Contemporary Computing - 5th International Conference, 2012

2011

Designing a SOA based model.

Ashish Seth, Himanshu Aggarwal, Ashim Raj Singla

ACM SIGSOFT Softw. Eng. Notes, 2011

2010

Artificial Neural Network based Diagnostic Model For Causes of Success and Failures

Bikrampal Kaur, Himanshu Aggarwal

CoRR, 2010

A Comprehensive Review of Image Enhancement Techniques

Raman Maini, Himanshu Aggarwal

CoRR, 2010