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Arun Sharma 0002
Person information
- affiliation (since 2014): Indira Gandhi Delhi Technical University for Women, Department of Information Technology, New Delhi, India
- affiliation (2010 - 2014): Krishna Institute of Engineering and Technology, Ghaziabad, India
- affiliation (2009 - 2010): Galgotia College of Engineering and Technology, Greater Noida, India
- affiliation (2002 - 2009): Amity University, Noida, India
Other persons with the same name
- Arun Sharma — disambiguation page
- Arun Sharma 0001
— Queensland University of Technology, Brisbane, Australia (and 1 more)
- Arun Sharma 0003 — University of California, Department of Mathematics, Berkeley, CA, USA
- Arun Sharma 0004 — State University of New York at Albany, ILS Institute, Albany, NY, USA
- Arun Sharma 0005 — RMIT University, School of Electrical and Computer Engineering, Melbourne, Australia
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2020 – today
- 2024
- [j48]Yusra Nasir
Interpretable machine learning for dermatological disease detection: Bridging the gap between accuracy and explainability. Comput. Biol. Medicine 179: 108919 (2024) - [j47]Sukhmani Kaur, Nityaa Sinha, Priyasha Jain, Shruti Koli, Arun Sharma, Anjali Lathwal:
Enhanced Image Forgery Detection using a Hybrid Approach: Integration of ELA, CNN, and XGBoost. Int. J. Perform. Eng. 20(6): 367 (2024) - [j46]Prachi Tyagi, Khushboo Agarwal, Garima Jaiswal
Forged document detection and writer identification through unsupervised deep learning approach. Multim. Tools Appl. 83(6): 18459-18478 (2024) - [j45]Hiteshi Saini
Enhancing cyberbullying detection: a comparative study of ensemble CNN-SVM and BERT models. Soc. Netw. Anal. Min. 14(1): 1 (2024) - 2023
- [j44]Monalisa Panigrahi
A reputation-aware hierarchical aggregation framework for federated learning. Comput. Electr. Eng. 111(Part A): 108900 (2023) - [j43]Garima Jaiswal
Integration of hyperspectral imaging and autoencoders: Benefits, applications, hyperparameter tunning and challenges. Comput. Sci. Rev. 50: 100584 (2023) - [j42]Harshita Mangotra, Sahima Srivastava, Garima Jaiswal
Hyperspectral imaging for early diagnosis of diseases: A review. Expert Syst. J. Knowl. Eng. 40(8) (2023) - [j41]Monalisa Panigrahi
FedDCS: A distributed client selection framework for cross device federated learning. Future Gener. Comput. Syst. 144: 24-36 (2023) - [j40]Monalisa Panigrahi
A review on client selection models in federated learning. WIREs Data. Mining. Knowl. Discov. 13(6) (2023) - [c11]Geetika Gupta, Karuna Kadian, Raksha Jain, Vimal Dwivedi, Arun Sharma:
Real-time Hate Speech Detection in Live Streaming Platforms using Quantum Machine Learning. O-COCOSDA 2023: 1-6 - [c10]Parul Mann, Anmol Jha
Automated Diagnosis of Parkinson's Disease using Speech Signals with Machine Learning. O-COCOSDA 2023: 1-6 - 2022
- [j39]Garima Jaiswal
Deep feature extraction for document forgery detection with convolutional autoencoders. Comput. Electr. Eng. 99: 107770 (2022) - [j38]Ritu Rani
An Optimized Flower Categorization Using Customized Deep Learning. Int. J. Comput. Intell. Appl. 21(4): 2250029:1-2250029:23 (2022) - [j37]Neha Gupta, Arun Sharma
Multi-objective test suite optimization for detection and localization of software faults. J. King Saud Univ. Comput. Inf. Sci. 34(6 Part A): 2897-2909 (2022) - [j36]Garima Jaiswal
DFD-SS: Document Forgery Detection using Spectral - Spatial Features for Hyperspectral Images. J. Vis. Commun. Image Represent. 89: 103690 (2022) - [c9]Monalisa Panigrahi, Sourabh Bharti, Arun Sharma
An Exhaustive Investigation on Resource-aware Client Selection Mechanisms for Cross-device Federated Learning. IC3 2022: 67-73 - [c8]Kashika Akhouri, Samya Jain, Tanya Chhikara, Ritu Rani
Auto-Encoders for Crowd Density Estimation. SOLI 2022: 1-5 - 2021
- [j35]Pooja Dehraj
A review on architecture and models for autonomic software systems. J. Supercomput. 77(1): 388-417 (2021) - [j34]Garima Jaiswal
Critical insights into modern hyperspectral image applications through deep learning. WIREs Data Mining Knowl. Discov. 11(6) (2021) - [c7]Vrinda Rastogi, Sahima Srivastava, Garima Jaiswal
Detecting Document Forgery Using Hyperspectral Imaging and Machine Learning. CVIP (2) 2021: 14-25 - [c6]Arun Sharma
Fund Utilization Under Parliament Local Development Scheme: Machine Learning Base Approach. ICACDS (1) 2021: 15-25 - [c5]Garima Jaiswal
Efficient Ink Mismatch Detection Using Supervised Approach. ICACDS (1) 2021: 739-746 - 2020
- [j33]Prerna Sharma, Krishna Choudhary, Kshitij Gupta, Rahul Chawla, Deepak Gupta
Artificial plant optimization algorithm to detect heart rate & presence of heart disease using machine learning. Artif. Intell. Medicine 102: 101752 (2020) - [j32]Pooja Dehraj
An empirical assessment of autonomicity for autonomic query optimizers using fuzzy-AHP technique. Appl. Soft Comput. 90: 106137 (2020) - [j31]Deepak Gupta
Feature selection and evaluation for software usability model using modified moth-flame optimization. Computing 102(6): 1503-1520 (2020) - [j30]Pooja Dehraj
A new software development paradigm for intelligent information systems. Int. J. Intell. Inf. Database Syst. 13(2/3/4): 356-375 (2020) - [j29]Pooja Dehraj
An approach to design and develop generic integrated architecture for autonomic software system. Int. J. Syst. Assur. Eng. Manag. 11(3): 690-703 (2020)
2010 – 2019
- 2019
- [j28]Neha Gupta
An Insight Into Test Case Optimization: Ideas and Trends With Future Perspectives. IEEE Access 7: 22310-22327 (2019) - [j27]Prerna Sharma, Shirsh Sundaram, Moolchand Sharma
Diagnosis of Parkinson's disease using modified grey wolf optimization. Cogn. Syst. Res. 54: 100-115 (2019) - [j26]Garima Jaiswal
Analytical Approach for Predicting Dropouts in Higher Education. Int. J. Inf. Commun. Technol. Educ. 15(3): 89-102 (2019) - [j25]Parita Jain
A Customized Quality Model for Software Quality Assurance in Agile Environment. Int. J. Inf. Technol. Web Eng. 14(3): 64-77 (2019) - [j24]Neha Bansal, Arun Sharma
An Evolving Hybrid Deep Learning Framework for Legal Document Classification. Ingénierie des Systèmes d Inf. 24(4): 425-431 (2019) - [c4]Neha Bansal, Arun Sharma
A Review on the Application of Deep Learning in Legal Domain. AIAI 2019: 374-381 - 2018
- [j23]Preeti Gupta, Rajni Jindal
Community Trolling: An Active Learning Approach for Topic Based Community Detection in Big Data. J. Grid Comput. 16(4): 553-567 (2018) - [j22]Parita Jain
Software Maintainability Estimation in Agile Software Development. Int. J. Open Source Softw. Process. 9(4): 65-78 (2018) - [c3]Arun Sharma
Assessing Autonomic Level for Self-managed Systems - FAHP Based Approach. ICACDS (1) 2018: 114-123 - 2017
- [j21]Neha Bansal, Rakesh Kumar Singh
An Insight into State-of-the-Art Techniques for Big Data Classification. Int. J. Inf. Syst. Model. Des. 8(3): 24-42 (2017) - 2016
- [j20]Kirti Tyagi, Arun Sharma
Ranking of components for reliability estimation of CBSS using fuzzy TOPSIS. Int. J. Syst. Assur. Eng. Manag. 7(1s): 41-49 (2016) - [j19]Preeti Gupta, Arun Sharma
Scalable machine-learning algorithms for big data analytics: a comprehensive review. WIREs Data Mining Knowl. Discov. 6(6): 194-214 (2016) - 2015
- [j18]Manoj Kumar, Arun Sharma
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. 45(7): 949-971 (2015) - 2014
- [j17]Manoj Kumar, Arun Sharma
Fuzzy entropy-based framework for multi-faceted test case classification and selection: an empirical study. IET Softw. 8(3): 103-112 (2014) - 2013
- [j16]Vijay Kumar, Arun Sharma, Rajesh Kumar:
Applying Soft Computing Approaches to Predict Defect Density in Software Product Releases: An Empirical Study. Comput. Informatics 32(1): 203-224 (2013) - [j15]Adesh Kr. Pandey, C. P. Agrawal, Arun Sharma, P. Sasikala:
Study of empirical approaches to analyze the software metrics. ACM SIGSOFT Softw. Eng. Notes 38(4): 1-5 (2013) - [j14]Sandeep Chauhan, Arun Sharma, Pritam S. Grover:
Developing self managing software systems using agile modeling. ACM SIGSOFT Softw. Eng. Notes 38(6): 1-3 (2013) - 2012
- [j13]Kirti Tyagi, Arun Sharma
A rule-based approach for estimating the reliability of component-based systems. Adv. Eng. Softw. 54: 24-29 (2012) - [j12]Vineet Sharma, S. A. M. Rizvi, Arun Sharma:
Software licenses: a tool to control distribution of software. ACM SIGSOFT Softw. Eng. Notes 37(6): 1-4 (2012) - [j11]Vijay Kumar, Arun Sharma
Quality aspects for component-based systems: A metrics based approach. Softw. Pract. Exp. 42(12): 1531-1548 (2012) - 2011
- [j10]Manoj Kumar, Arun Sharma, Rajesh Kumar:
Towards Multi-Faceted Test Cases Optimization. J. Softw. Eng. Appl. 4(9): 550-557 (2011) - [j9]Arun Sharma, Samarth Gupta:
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 36(4): 1-5 (2011) - [j8]Kirti Tyagi, Arun Sharma:
Reliability of component based systems: a critical survey. ACM SIGSOFT Softw. Eng. Notes 36(6): 1-6 (2011) - [c2]Pradeep Kumar Singh
Autonomic computing: A revolutionary paradigm for implementing self-managing systems. ReTIS 2011: 7-12 - 2010
- [j7]Shrddha Sagar, N. W. Nerurkar, Arun Sharma:
A soft computing based approach to estimate reusability of software components. ACM SIGSOFT Softw. Eng. Notes 35(4): 1-4 (2010) - [j6]Shrddha Sagar, N. W. Nerurkar, Arun Sharma:
A soft computing based approach to estimate reusability of software components. ACM SIGSOFT Softw. Eng. Notes 35(5): 1-5 (2010)
2000 – 2009
- 2009
- [j5]Arun Sharma, Pritam S. Grover, Rajesh Kumar Bhatia:
Reusability assessment for software components. ACM SIGSOFT Softw. Eng. Notes 34(2): 1-6 (2009) - [j4]Arun Sharma, Pritam S. Grover, Rajesh Kumar:
Dependency analysis for component-based software systems. ACM SIGSOFT Softw. Eng. Notes 34(4): 1-6 (2009) - [c1]Arun Sharma
Predicting Maintainability of Component-Based Systems by Using Fuzzy Logic. IC3 2009: 581-591 - 2008
- [j3]Arun Sharma
Empirical Evaluation and Validation of Interface Complexity Metrics for Software Components. Int. J. Softw. Eng. Knowl. Eng. 18(7): 919-931 (2008) - [j2]Arun Sharma, Rajesh Kumar Bhatia, Pritam S. Grover:
Estimation of quality for software components: an empirical approach. ACM SIGSOFT Softw. Eng. Notes 33(6): 1-10 (2008) - 2007
- [j1]Pritam S. Grover, Rajesh Kumar Bhatia, Arun Sharma:
Few useful considerations for maintaining software components and component-based systems. ACM SIGSOFT Softw. Eng. Notes 32(5): 1-5 (2007)
Coauthor Index
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