Arun Sharma

Orcid: 0000-0002-9404-4519

Affiliations:
  • Indira Gandhi Delhi Technical University for Women, Department of Information Technology, New Delhi, India (since 2014)
  • Krishna Institute of Engineering and Technology, Ghaziabad, India (2010 - 2014)
  • Galgotia College of Engineering and Technology, Greater Noida, India (2009 - 2010)
  • Amity University, Noida, India (2002 - 2009)


According to our database1, Arun Sharma authored at least 54 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Forged document detection and writer identification through unsupervised deep learning approach.
Multim. Tools Appl., February, 2024

2023
Enhancing cyberbullying detection: a comparative study of ensemble CNN-SVM and BERT models.
Soc. Netw. Anal. Min., December, 2023

A review on client selection models in federated learning.
WIREs Data. Mining. Knowl. Discov., November, 2023

Integration of hyperspectral imaging and autoencoders: Benefits, applications, hyperparameter tunning and challenges.
Comput. Sci. Rev., November, 2023

A reputation-aware hierarchical aggregation framework for federated learning.
Comput. Electr. Eng., October, 2023

Hyperspectral imaging for early diagnosis of diseases: A review.
Expert Syst. J. Knowl. Eng., September, 2023

FedDCS: A distributed client selection framework for cross device federated learning.
Future Gener. Comput. Syst., July, 2023

2022
An Optimized Flower Categorization Using Customized Deep Learning.
Int. J. Comput. Intell. Appl., December, 2022

DFD-SS: Document Forgery Detection using Spectral - Spatial Features for Hyperspectral Images.
J. Vis. Commun. Image Represent., 2022

Multi-objective test suite optimization for detection and localization of software faults.
J. King Saud Univ. Comput. Inf. Sci., 2022

Deep feature extraction for document forgery detection with convolutional autoencoders.
Comput. Electr. Eng., 2022

Auto-Encoders for Crowd Density Estimation.
Proceedings of the IEEE International Conference on Service Operations and Logistics, 2022

An Exhaustive Investigation on Resource-aware Client Selection Mechanisms for Cross-device Federated Learning.
Proceedings of the 2022 Fourteenth International Conference on Contemporary Computing, 2022

2021
Critical insights into modern hyperspectral image applications through deep learning.
WIREs Data Mining Knowl. Discov., 2021

A review on architecture and models for autonomic software systems.
J. Supercomput., 2021

Fund Utilization Under Parliament Local Development Scheme: Machine Learning Base Approach.
Proceedings of the Advances in Computing and Data Sciences - 5th International Conference, 2021

Efficient Ink Mismatch Detection Using Supervised Approach.
Proceedings of the Advances in Computing and Data Sciences - 5th International Conference, 2021

Detecting Document Forgery Using Hyperspectral Imaging and Machine Learning.
Proceedings of the Computer Vision and Image Processing - 6th International Conference, 2021

2020
An approach to design and develop generic integrated architecture for autonomic software system.
Int. J. Syst. Assur. Eng. Manag., 2020

A new software development paradigm for intelligent information systems.
Int. J. Intell. Inf. Database Syst., 2020

Feature selection and evaluation for software usability model using modified moth-flame optimization.
Computing, 2020

An empirical assessment of autonomicity for autonomic query optimizers using fuzzy-AHP technique.
Appl. Soft Comput., 2020

Artificial plant optimization algorithm to detect heart rate & presence of heart disease using machine learning.
Artif. Intell. Medicine, 2020

2019
An Evolving Hybrid Deep Learning Framework for Legal Document Classification.
Ingénierie des Systèmes d Inf., 2019

A Customized Quality Model for Software Quality Assurance in Agile Environment.
Int. J. Inf. Technol. Web Eng., 2019

Analytical Approach for Predicting Dropouts in Higher Education.
Int. J. Inf. Commun. Technol. Educ., 2019

Diagnosis of Parkinson's disease using modified grey wolf optimization.
Cogn. Syst. Res., 2019

An Insight Into Test Case Optimization: Ideas and Trends With Future Perspectives.
IEEE Access, 2019

A Review on the Application of Deep Learning in Legal Domain.
Proceedings of the Artificial Intelligence Applications and Innovations, 2019

2018
Software Maintainability Estimation in Agile Software Development.
Int. J. Open Source Softw. Process., 2018

Community Trolling: An Active Learning Approach for Topic Based Community Detection in Big Data.
J. Grid Comput., 2018

Assessing Autonomic Level for Self-managed Systems - FAHP Based Approach.
Proceedings of the Advances in Computing and Data Sciences, 2018

2017
An Insight into State-of-the-Art Techniques for Big Data Classification.
Int. J. Inf. Syst. Model. Des., 2017

2016
Scalable machine-learning algorithms for big data analytics: a comprehensive review.
WIREs Data Mining Knowl. Discov., 2016

Ranking of components for reliability estimation of CBSS using fuzzy TOPSIS.
Int. J. Syst. Assur. Eng. Manag., 2016

2015
An empirical evaluation of a three-tier conduit framework for multifaceted test case classification and selection using fuzzy-ant colony optimisation approach.
Softw. Pract. Exp., 2015

2014
Fuzzy entropy-based framework for multi-faceted test case classification and selection: an empirical study.
IET Softw., 2014

2013
Study of empirical approaches to analyze the software metrics.
ACM SIGSOFT Softw. Eng. Notes, 2013

Developing self managing software systems using agile modeling.
ACM SIGSOFT Softw. Eng. Notes, 2013

Applying Soft Computing Approaches to Predict Defect Density in Software Product Releases: An Empirical Study.
Comput. Informatics, 2013

2012
Quality aspects for component-based systems: A metrics based approach.
Softw. Pract. Exp., 2012

Software licenses: a tool to control distribution of software.
ACM SIGSOFT Softw. Eng. Notes, 2012

A rule-based approach for estimating the reliability of component-based systems.
Adv. Eng. Softw., 2012

2011
Reliability of component based systems: a critical survey.
ACM SIGSOFT Softw. Eng. Notes, 2011

A few useful considerations in the development of intra-day trading software: comparing indian intra-day trading software with foreign software.
ACM SIGSOFT Softw. Eng. Notes, 2011

Towards Multi-Faceted Test Cases Optimization.
J. Softw. Eng. Appl., 2011

Autonomic computing: A revolutionary paradigm for implementing self-managing systems.
Proceedings of the International Conference on Recent Trends in Information Systems, 2011

2010
A soft computing based approach to estimate reusability of software components.
ACM SIGSOFT Softw. Eng. Notes, 2010

2009
Dependency analysis for component-based software systems.
ACM SIGSOFT Softw. Eng. Notes, 2009

Reusability assessment for software components.
ACM SIGSOFT Softw. Eng. Notes, 2009

Predicting Maintainability of Component-Based Systems by Using Fuzzy Logic.
Proceedings of the Contemporary Computing - Second International Conference, 2009

2008
Estimation of quality for software components: an empirical approach.
ACM SIGSOFT Softw. Eng. Notes, 2008

Empirical Evaluation and Validation of Interface Complexity Metrics for Software Components.
Int. J. Softw. Eng. Knowl. Eng., 2008

2007
Few useful considerations for maintaining software components and component-based systems.
ACM SIGSOFT Softw. Eng. Notes, 2007


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