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ORCIDSandeep Kumar 0004
Person information
- affiliation: Indian Institute of Technology Roorkee, Department of Computer Science and Engineering, India
Other persons with the same name
- Sandeep Kumar — disambiguation page
- Sandeep Kumar 0001
![[0000-0003-4125-4165]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-4125-4165")
(aka: Sandeep Kumar Poonia) — Jagannath University, Chaksu, Jaipur, Rajasthan, India - Sandeep Kumar 0002 — Indraprastha Institute of Information Technology (IIIT-D), Delhi, India
- Sandeep Kumar 0003 — National Institute of Technology Karnataka, India (and 2 more)
- Sandeep Kumar 0005 — Hong Kong University of Science and Technology, Department of Electronics and Communication Engineering, Hong Kong (and 1 more)
- Sandeep Kumar 0006 — Bharat Electronics Ltd., Ghaziabad, India (and 1 more)
- Sandeep Kumar 0007 — University of Hanover, Hannover, Germany
- Sandeep Kumar 0008 — Purdue University, USA
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2020 – today
- 2024
[j51]Hem Chandra Joshi, Sandeep Kumar:
Artificial Intelligence Failures in Autonomous Vehicles: Causes, Implications, and Prevention. Computer 57(11): 18-30 (2024)- [j50]Hem Chandra Joshi, Sandeep Kumar:
Remote Work and Gender Inequality: Unmasking the Challenges and Seeking Solutions. IEEE Internet Comput. 28(1): 42-51 (2024) - [j49]Suyash Shukla, Sandeep Kumar:
Study of Learning Techniques for Effort Estimation in Object-Oriented Software Development. IEEE Trans. Engineering Management 71: 4602-4618 (2024) - [j48]Aman Omer, Santosh Singh Rathore, Sandeep Kumar:
ME-SFP: A Mixture-of-Experts-Based Approach for Software Fault Prediction. IEEE Trans. Reliab. 73(1): 710-725 (2024) - 2023
- [j47]Suyash Shukla, Sandeep Kumar:
Towards non-linear regression-based prediction of use case point (UCP) metric. Appl. Intell. 53(9): 10326-10339 (2023) - [j46]Lalit Purohit, Santosh Singh Rathore, Sandeep Kumar:
Feature selection and clustering based web service selection using QoSs. Appl. Intell. 53(11): 13352-13377 (2023) - [j45]Suyash Shukla, Sandeep Kumar:
Know-UCP: locally weighted linear regression based approach for UCP estimation. Appl. Intell. 53(11): 13488-13505 (2023) - [j44]Shadab Naseem, Santosh Singh Rathore, Sandeep Kumar, Sugata Gangopadhyay, Ankita Jain:
An approach to occluded face recognition based on dynamic image-to-class warping using structural similarity index. Appl. Intell. 53(23): 28501-28519 (2023) - [j43]Pravas Ranjan Bal, Sandeep Kumar:
RELMP-MM: an approach to cross project fault prediction using improved regularized extreme learning machine and identical matched metrics. J. Ambient Intell. Humaniz. Comput. 14(10): 13523-13542 (2023) - [j42]Shruti Gupta, Dharmendra Singh, Sandeep Kumar:
Development of an Ontology-Based Technique for Labeling Land Cover Classes with Minimum Utilization of SAR Features. SN Comput. Sci. 4(6): 731 (2023) - [j41]Suyash Shukla, Sandeep Kumar:
Towards ensemble-based use case point prediction. Softw. Qual. J. 31(3): 843-864 (2023) - [j40]Arvind Kumar Gangwar, Sandeep Kumar:
Concept Drift in Software Defect Prediction: A Method for Detecting and Handling the Drift. ACM Trans. Internet Techn. 23(2): 31:1-31:28 (2023) - [j39]Lalit Purohit, Santosh Singh Rathore, Sandeep Kumar:
A QoS-Aware Clustering Based Multi-Layer Model for Web Service Selection. IEEE Trans. Serv. Comput. 16(5): 3141-3154 (2023) - [j38]Pravas Ranjan Bal, Sandeep Kumar:
A Data Transfer and Relevant Metrics Matching Based Approach for Heterogeneous Defect Prediction. IEEE Trans. Software Eng. 49(3): 1232-1245 (2023) - [c31]Suyash Shukla, Sandeep Kumar:
Towards Automated Prediction of Software Bugs from Textual Description. ENASE 2023: 193-201 - [c30]Aman Swaraj, Sandeep Kumar:
Programming Language Identification in Stack Overflow Post Snippets with Regex Based Tf-Idf Vectorization over ANN. ENASE 2023: 648-655 - [c29]Suyash Shukla, Sandeep Kumar:
Self-Adaptive Ensemble-based Approach for Software Effort Estimation. SANER 2023: 581-592 - 2022
- [j37]Kuldeep Kumar, Sumit, Sandeep Kumar, Lalit Kumar Singh, Alok Mishra:
Predicting reliability of software in industrial systems using a Petri net based approach: A case study on a safety system used in nuclear power plant. Inf. Softw. Technol. 146: 106895 (2022) - [j36]Deepak Kshirsagar, Sandeep Kumar:
A feature reduction based reflected and exploited DDoS attacks detection system. J. Ambient Intell. Humaniz. Comput. 13(1): 393-405 (2022) - [j35]Cagatay Catal, Görkem Giray, Bedir Tekinerdogan, Sandeep Kumar, Suyash Shukla:
Applications of deep learning for phishing detection: a systematic literature review. Knowl. Inf. Syst. 64(6): 1457-1500 (2022) - [j34]Nalin Singh, Santosh Singh Rathore, Sandeep Kumar:
Towards a super-resolution based approach for improved face recognition in low resolution environment. Multim. Tools Appl. 81(27): 38887-38919 (2022) - [j33]Sunil Kumar, Gaurav Mittal, Sandeep Kumar:
Digital Signature Schemes Based on Group Ring. SN Comput. Sci. 3(5): 398 (2022) - [c28]Aman Swaraj, Sandeep Kumar:
A Methodology for Detecting Programming Languages in Stack Overflow Questions. ICSOFT 2022: 478-483 - 2021
- [j32]Lalit Purohit, Sandeep Kumar:
A study on evolutionary computing based web service selection techniques. Artif. Intell. Rev. 54(2): 1117-1170 (2021) - [j31]Santosh Singh Rathore, Sandeep Kumar:
An empirical study of ensemble techniques for software fault prediction. Appl. Intell. 51(6): 3615-3644 (2021) - [j30]Santosh Singh Rathore, Sandeep Kumar:
Software fault prediction based on the dynamic selection of learning technique: findings from the eclipse project study. Appl. Intell. 51(12): 8945-8960 (2021) - [j29]Deepak Kshirsagar, Sandeep Kumar:
An efficient feature reduction method for the detection of DoS attack. ICT Express 7(3): 371-375 (2021) - [j28]Lalit Purohit, Sandeep Kumar:
A Classification Based Web Service Selection Approach. IEEE Trans. Serv. Comput. 14(2): 315-328 (2021) - [c27]Suyash Shukla, Sandeep Kumar:
An Extreme Learning Machine based Approach for Software Effort Estimation. ENASE 2021: 47-57 - [c26]Suyash Shukla, Sandeep Kumar:
A Stacking Ensemble-based Approach for Software Effort Estimation. ENASE 2021: 205-212 - 2020
- [j27]Pravas Ranjan Bal, Sandeep Kumar:
WR-ELM: Weighted Regularization Extreme Learning Machine for Imbalance Learning in Software Fault Prediction. IEEE Trans. Reliab. 69(4): 1355-1375 (2020) - [c25]Deepak Kshirsagar, Sandeep Kumar:
Identifying Reduced Features Based on IG-Threshold for DoS Attack Detection Using PART. ICDCIT 2020: 411-419
2010 – 2019
- 2019
- [b3]Santosh Singh Rathore, Sandeep Kumar:
Fault Prediction Modeling for the Prediction of Number of Software Faults. Springer Briefs in Computer Science, Springer 2019, ISBN 978-981-13-7130-1, pp. 1-73 - [j26]Santosh Singh Rathore, Sandeep Kumar:
A study on software fault prediction techniques. Artif. Intell. Rev. 51(2): 255-327 (2019) - [j25]Lalit Purohit, Sandeep Kumar:
Web Services in the Internet of Things and Smart Cities: A Case Study on Classification Techniques. IEEE Consumer Electron. Mag. 8(2): 39-43 (2019) - [j24]Kuldeep Kumar, Sumit, Sandeep Kumar, Lalit Kumar Singh:
Evaluating Technologies for Reliable Software in Consumer Electronics: A Survey of Component Failure Modeling. IEEE Consumer Electron. Mag. 8(6): 56-61 (2019) - [j23]Santosh Singh Rathore, Sandeep Kumar:
An Approach for the Prediction of Number of Software Faults Based on the Dynamic Selection of Learning Techniques. IEEE Trans. Reliab. 68(1): 216-236 (2019) - [c24]Lalit Purohit, Sandeep Kumar:
Replaceability Based Web Service Selection Approach. HiPC 2019: 113-122 - [c23]Lalit Purohit, Sandeep Kumar:
Clustering Based Approach for Web Service Selection Using Skyline Computations. ICWS 2019: 260-264 - [c22]Ankush Agarwal, Sandeep Kumar, Dharmendra Singh:
Development of Machine Learning Based Approach for Computing Optimal Vegetation Index with The Use of Sentinel-2 And Drone Data. IGARSS 2019: 5832-5835 - [c21]Suyash Shukla, Sandeep Kumar:
Applicability of Neural Network Based Models for Software Effort Estimation. SERVICES 2019: 339-342 - [c20]Suyash Shukla, Sandeep Kumar, Pravas Ranjan Bal:
Analyzing Effect of Ensemble Models on Multi-Layer Perceptron Network for Software Effort Estimation. SERVICES 2019: 386-387 - [i1]Sunil Kumar, Sandeep Kumar, Gaurav Mittal, Shiv Narain:
A Vector Space Approach to Generate Dynamic Keys for Hill Cipher. CoRR abs/1909.06781 (2019) - 2018
- [b2]Sandeep Kumar, Niyati Baliyan:
Semantic Web-Based Systems - Quality Assessment Models. Springer Briefs in Computer Science, Springer 2018, ISBN 978-981-10-7699-2, pp. 1-87 - [b1]Sandeep Kumar, Santosh Singh Rathore:
Software Fault Prediction - A Road Map. Springer Briefs in Computer Science, Springer 2018, ISBN 978-981-10-8714-1, pp. 1-68 - [j22]Garvit Rajesh Choudhary, Sandeep Kumar, Kuldeep Kumar, Alok Mishra, Cagatay Catal:
Empirical analysis of change metrics for software fault prediction. Comput. Electr. Eng. 67: 15-24 (2018) - [j21]Niyati Baliyan, Sandeep Kumar:
SWAQ: a Semantic Web Application Quality Evaluation Framework. J. Exp. Theor. Artif. Intell. 30(6): 953-972 (2018) - [j20]Abhinav Jain, Sandeep Kumar:
FriendShare: A secure and reliable framework for file sharing on network. J. Netw. Comput. Appl. 120: 1-16 (2018) - [c19]Ankush Agarwal, Arun Kumar Singh, Sandeep Kumar, Dharmendra Singh:
Critical analysis of classification techniques for precision agriculture monitoring using satellite and drone. ICIIS 2018: 83-88 - [c18]Pravas Ranjan Bal, Sandeep Kumar:
Extreme Learning Machine based Linear Homogeneous Ensemble for Software Fault Prediction. ICSOFT 2018: 103-112 - [c17]Pravas Ranjan Bal, Sandeep Kumar:
Cross Project Software Defect Prediction using Extreme Learning Machine: An Ensemble based Study. ICSOFT 2018: 354-361 - [c16]Ankush Agarwal, Shruti Gupta, Sandeep Kumar, Dharmendra Singh:
A concept of satellite-based IoT for downscaling the MODIS data to extract Land Surface Temperature. ISIVC 2018: 67-70 - [c15]Viral Kapoor, Divya Saxena, Vaskar Raychoudhury, Sandeep Kumar:
Real Time Building and Maintaining Causal Congestion Graph for Intelligent Traffic Management. PerCom Workshops 2018: 770-775 - 2017
- [j19]Santosh Singh Rathore, Sandeep Kumar:
A decision tree logic based recommendation system to select software fault prediction techniques. Computing 99(3): 255-285 (2017) - [j18]Santosh Singh Rathore, Sandeep Kumar:
Towards an ensemble based system for predicting the number of software faults. Expert Syst. Appl. 82: 357-382 (2017) - [j17]Sandeep Kumar, Niyati Baliyan, Shriya Sukalikar:
Ontology Cohesion and Coupling Metrics. Int. J. Semantic Web Inf. Syst. 13(4): 1-26 (2017) - [j16]Sandeep Kumar:
Research-oriented teaching of PDC topics in integration with other undergraduate courses at multiple levels: A multi-year report. J. Parallel Distributed Comput. 105: 92-104 (2017) - [j15]Santosh Singh Rathore, Sandeep Kumar:
Linear and non-linear heterogeneous ensemble methods to predict the number of faults in software systems. Knowl. Based Syst. 119: 232-256 (2017) - [j14]Devesh Varshney, Sandeep Kumar, Vineet Gupta:
Predicting information diffusion probabilities in social networks: A Bayesian networks based approach. Knowl. Based Syst. 133: 66-76 (2017) - [j13]Shruti Gupta, Pooja Mishra, Dharmendra Singh, Sandeep Kumar:
An Approach to Classify Tall Vegetation and Urban Using Deoriented PALSAR Image. IEEE Geosci. Remote. Sens. Lett. 14(12): 2185-2189 (2017) - [j12]Shikhar Shrivastav, Sandeep Kumar, Kuldeep Kumar:
Towards an ontology based framework for searching multimedia contents on the web. Multim. Tools Appl. 76(18): 18657-18686 (2017) - [j11]Santosh Singh Rathore, Sandeep Kumar:
An empirical study of some software fault prediction techniques for the number of faults prediction. Soft Comput. 21(24): 7417-7434 (2017) - 2016
- [j10]Niyati Baliyan, Sandeep Kumar:
Towards measurement of structural complexity for ontologies. Int. J. Web Eng. Technol. 11(2): 153-173 (2016) - [j9]Niyati Baliyan, Sandeep Kumar:
A Hierarchical Fuzzy System for Quality Assessment of Semantic Web Application as a Service. ACM SIGSOFT Softw. Eng. Notes 41(1): 1-7 (2016) - [j8]Santosh Singh Rathore, Sandeep Kumar:
A Decision Tree Regression based Approach for the Number of Software Faults Prediction. ACM SIGSOFT Softw. Eng. Notes 41(1): 1-6 (2016) - [c14]Santosh Singh Rathore, Sandeep Kumar:
Ensemble methods for the prediction of number of faults: A study on eclipse project. ICIIS 2016: 540-545 - [c13]Sandeep Kumar, Lalit Purohit:
Exploring K-means clustering and skyline for web service selection. ICIIS 2016: 603-607 - [c12]Ankush Agarwal, Shruti Gupta, Sandeep Kumar, Dharmendra Singh:
An efficient use of IoT for satellite data in land cover monitoring to estimate LST and ET. ICIIS 2016: 905-909 - [c11]Niyati Baliyan, Sandeep Kumar:
A Behavioral Metrics Suite for Modular Ontologies. ICTCS 2016: 133:1-133:4 - [c10]Shruti Gupta, Sandeep Kumar, Akanksha Garg, Dharmendra Singh, N. S. Rajput:
Class wise optimal feature selection for land cover classification using SAR data. IGARSS 2016: 68-71 - [c9]Vikrant Yadav, Sandeep Kumar:
Learning Web Queries for Retrieval of Relevant Information about an Entity in a Wikipedia Category. WWW (Companion Volume) 2016: 1013-1014 - 2015
- [c8]Prakhar Gupta, Sandeep Kumar, Kokil Jaidka:
Summarizing Customer Reviews through Aspects and Contexts. CICLing (2) 2015: 241-256 - [c7]Shruti Gupta, Dharmendra Singh, Keshava P. Singh, Sandeep Kumar:
An efficient use of random forest technique for SAR data classification. IGARSS 2015: 3286-3289 - [c6]Santosh Singh Rathore, Sandeep Kumar:
Predicting Number of Faults in Software System using Genetic Programming. SCSE 2015: 303-311 - 2014
- [c5]Niyati Baliyan, Sandeep Kumar:
Towards software engineering paradigm for software as a service. IC3 2014: 329-333 - [c4]Shriya Sukalikar, Sandeep Kumar, Niyati Baliyan:
Analysing cohesion and coupling for modular ontologies. ICACCI 2014: 2063-2066 - [c3]Devesh Varshney, Sandeep Kumar, Vineet Gupta:
Modeling Information Diffusion in Social Networks Using Latent Topic Information. ICIC (1) 2014: 137-148 - [c2]Namrata Agrawal, Dharmendra Singh, Sandeep Kumar:
Application of Fusion Technique in Satellite Images for Change Detection. ISI (1) 2014: 97-105 - [c1]Sudhir Kumar Pandey, Vivek Kumar Yadav, Sandeep Kumar, Shani Verma, Prabhat Dansena:
Implementation of a new framework for automated network security checking and alert system. WOCN 2014: 1-7 - 2013
- [j7]Kuldeep Kumar, Sandeep Kumar:
A rule-based recommendation system for selection of software development life cycle models. ACM SIGSOFT Softw. Eng. Notes 38(4): 1-6 (2013) - 2011
- [j6]Ravi Bhushan Mishra, Sandeep Kumar:
Semantic web reasoners and languages. Artif. Intell. Rev. 35(4): 339-368 (2011) - 2010
- [j5]Sandeep Kumar, Ravi Bhushan Mishra:
Web-based expert systems and services. Knowl. Eng. Rev. 25(2): 167-198 (2010)
2000 – 2009
- 2009
- [j4]Sandeep Kumar, Kuldeep Kumar, Ankita Jain:
A semantic web technology based framework for educational-offer selection in higher education. Int. J. Metadata Semant. Ontologies 4(3): 165-182 (2009) - [j3]Sandeep Kumar, Ravi Bhushan Mishra:
An approach to multi-attribute negotiation between semantic web services. Int. J. Web Eng. Technol. 5(2): 162-186 (2009) - 2008
- [j2]Sandeep Kumar, Ravi Bhushan Mishra:
A Hybrid Model for Service Selection in Semantic Web Service Composition. Int. J. Intell. Inf. Technol. 4(4): 55-69 (2008) - [j1]Sandeep Kumar, Ravi Bhushan Mishra:
A Framework Towards Semantic Web Service Composition Based on Multi-Agent System. Int. J. Inf. Technol. Web Eng. 3(4): 59-81 (2008)
Coauthor Index
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last updated on 2024-12-10 21:46 CET by the dblp team
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