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ORCIDArvind W. Kiwelekar
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2020 – today
- 2024
[j11]Wilson Libardo Pantoja Yepez
, Julio Ariel Hurtado Alegria, Ajay Bandi, Arvind W. Kiwelekar:
Training software architects suiting software industry needs: A literature review. Educ. Inf. Technol. 29(9): 10931-10994 (2024)- [j10]Harsha R. Gaikwad, Arvind W. Kiwelekar:
A Generative AI-Based Assistant to Evaluate Short and Long Answer Questions. SN Comput. Sci. 5(5): 633 (2024) - 2023
- [j9]Sanil S. Gandhi, Arvind W. Kiwelekar, Laxman D. Netak, Shashank Shahare:
A blockchain-based data-driven trustworthy approval process system. Int. J. Inf. Manag. Data Insights 3(1): 100162 (2023) - [j8]Harsha R. Gaikwad, Sanil S. Gandhi, Arvind W. Kiwelekar, Manjushree D. Laddha:
Analyzing Brain Signals for Predicting Students' Understanding of Online Learning: A Machine Learning Approach. Int. J. Perform. Eng. 19(7): 462 (2023) - [c15]Harsha R. Gaikwad, Arvind W. Kiwelekar, Manjushree D. Laddha, Shashank Shahare:
Adopting Pre-trained Large Language Models for Regional Language Tasks: A Case Study. IHCI (1) 2023: 15-25 - 2022
- [j7]Swanand Navandar, Manjushree D. Laddha, Arvind W. Kiwelekar:
Analyzing Performance in a Computer Programming Course Through a Two-System Model. Int. J. Perform. Eng. 18(2): 71 (2022) - [j6]Varsha T. Lokare, Arvind W. Kiwelekar, Laxman D. Netak:
Analysis of the Influence of Physiological and Cognition Measures in Higher Education using Machine Learning. Int. J. Perform. Eng. 18(2): 117 (2022) - [j5]Geetanjali S. Mahamunkar, Arvind W. Kiwelekar, Laxman D. Netak:
Deep Learning Model for Black Spot Classification. Int. J. Perform. Eng. 18(3): 222 (2022) - [j4]Swanand Navandar, Arvind W. Kiwelekar, Manjushree D. Laddha:
The Impact of Cognitive Bias on Students' Programming Performance in an Introduction to Programming Course. Int. J. Perform. Eng. 18(8): 589 (2022) - [c14]Sanjay B. Thakare, Arvind W. Kiwelekar:
Software layer recovery through ego network analysis. SAC 2022: 1410-1416 - [p2]Arvind W. Kiwelekar, Manjushree D. Laddha, Laxman D. Netak:
Exemplar Use-Cases for Training Teachers on Learning Analytics. Intelligent Techniques in the Educational Process (1) 2022: 103-119 - [i16]Sanil S. Gandhi, Arvind W. Kiwelekar, Laxman D. Netak, Hansaraj S. Wankhede:
Security Requirement Analysis of Blockchain-based E-Voting Systems. CoRR abs/2208.01277 (2022) - 2021
- [j3]Rachit Garg, Arvind W. Kiwelekar, Laxman D. Netak, Akshay Ghodake:
i-Pulse: A NLP based novel approach for employee engagement in logistics organization. Int. J. Inf. Manag. Data Insights 1(1): 100011 (2021) - [j2]Manjushree D. Laddha, Varsha T. Lokare, Arvind W. Kiwelekar, Laxman D. Netak:
Performance Analysis of the Impact of Technical Skills on Employability. Int. J. Perform. Eng. 17(4): 371-378 (2021) - [c13]Ritu Gala, Revathi Vijayaraghavan, Valmik B. Nikam, Arvind W. Kiwelekar:
Real-Time Cognitive Evaluation of Online Learners through Automatically Generated Questions. ICCI*CC 2021: 53-58 - [c12]Sanjay B. Thakare, Arvind W. Kiwelekar:
Mapping Program Elements to Layers using Centrality Measures and Machine Learning Techniques. ECSA (Companion) 2021 - [c11]Rushali Deshmukh, Arvind W. Kiwelekar:
Deep Convolutional Neural Network Approach for Classification of Poems. ICHI 2021: 74-88 - [i15]Sanjay B. Thakare, Arvind W. Kiwelekar:
Recovery and Analysis of Architecture Descriptions using Centrality Measures. CoRR abs/2101.09422 (2021) - [i14]Arvind W. Kiwelekar:
A Software Architecture Teacher's Dilemmas. CoRR abs/2101.09434 (2021) - [i13]Arvind W. Kiwelekar, Pramod Patil, Laxman D. Netak, Sanjay U. Waikar:
Blockchain-based Security Services for Fog Computing. CoRR abs/2102.08896 (2021) - [i12]Yogesh N. Patil, Arvind W. Kiwelekar, Laxman D. Netak, Shankar B. Deosarkar:
A Decentralized and Autonomous Model to Administer University Examinations. CoRR abs/2104.03901 (2021) - [i11]Manjushree D. Laddha, Varsha T. Lokare, Arvind W. Kiwelekar, Laxman D. Netak:
Classifications of the Summative Assessment for Revised Blooms Taxonomy by using Deep Learning. CoRR abs/2104.08819 (2021) - [i10]Ritu Gala, Revathi Vijayaraghavan, Valmik B. Nikam, Arvind W. Kiwelekar:
Real-Time Cognitive Evaluation of Online Learners through Automatically Generated Questions. CoRR abs/2106.03036 (2021) - [i9]Sanjay B. Thakare, Arvind W. Kiwelekar:
Discovery of Layered Software Architecture from Source Code Using Ego Networks. CoRR abs/2106.03040 (2021) - [i8]Sanjay B. Thakare, Arvind W. Kiwelekar:
Redefining measures of Layered Architecture. CoRR abs/2106.03079 (2021) - [i7]Rachit Garg, Arvind W. Kiwelekar, Laxman D. Netak, Akshay Ghodake:
i-Pulse: A NLP based novel approach for employee engagement in logistics organization. CoRR abs/2106.07341 (2021) - 2020
- [c10]Arvind W. Kiwelekar, Swanand Navandar, Dharmendra Kumar Yadav:
A Two-Systems Perspective for Computational Thinking. IHCI (1) 2020: 3-11 - [p1]Arvind W. Kiwelekar, Manjushree D. Laddha, Laxman D. Netak, Sanil S. Gandhi:
An Architectural Perspective of Learning Analytics. Machine Learning Paradigms 2020: 115-130 - [i6]Arvind W. Kiwelekar, Geetanjali S. Mahamunkar, Laxman D. Netak, Valmik B. Nikam:
Deep Learning Techniques for Geospatial Data Analysis. CoRR abs/2008.13146 (2020) - [i5]Arvind W. Kiwelekar, Sanil S. Gandhi, Laxman D. Netak, Shankar B. Deosarkar:
Use-cases of Blockchain Technology for Humanitarian Engineering. CoRR abs/2012.01168 (2020) - [i4]Arvind W. Kiwelekar, Swanand Navandar, Dharmendra Kumar Yadav:
A Two-Systems Perspective for Computational Thinking. CoRR abs/2012.03201 (2020)
2010 – 2019
- 2019
- [i3]Arvind W. Kiwelekar:
Role of Ontology Training to Software Engineering Students. CoRR abs/1910.07968 (2019) - 2016
- [c9]Sanjay B. Thakare, Arvind W. Kiwelekar:
SkipLPA: An Efficient Label Propagation Algorithm for Community Detection in Sparse Network. COMPUTE 2016: 97-106 - [i2]Hansaraj S. Wankhede, Sanil S. Gandhi, Arvind W. Kiwelekar:
On Which Skills do Indian Universities Evaluate Software Engineering Students? CoRR abs/1601.01796 (2016) - 2015
- [c8]Arvind W. Kiwelekar, Hansaraj S. Wankhede:
Learning Objectives for a Course on Software Architecture. ECSA 2015: 169-180 - 2014
- [c7]Arvind W. Kiwelekar, Rushikesh K. Joshi:
An ontological framework for architecture model integration. TwinPeaks 2014: 24-27 - 2013
- [c6]Gaurav Paliwal, Arvind W. Kiwelekar:
A Comparison of Mobile Patient Monitoring Systems. HIS 2013: 198-209 - [c5]Arvind W. Kiwelekar, Rushikesh K. Joshi:
Ontological interpretation of object-oriented programming abstractions. SCAM 2013: 189-198 - 2010
- [c4]Arvind W. Kiwelekar, Rushikesh K. Joshi:
Ontological Analysis for Generating Baseline Architectural Descriptions. ECSA 2010: 417-424 - [c3]Arvind W. Kiwelekar, Rushikesh K. Joshi:
Identifying Architectural Connectors through Formal Concept Analysis of Communication Primitives. ECSA 2010: 515-518 - [i1]Arvind W. Kiwelekar, Rushikesh K. Joshi:
An Object-Oriented Metamodel for Bunge-Wand-Weber Ontology. CoRR abs/1004.3640 (2010)
2000 – 2009
- 2007
- [c2]Arvind W. Kiwelekar, Rushikesh K. Joshi:
Extracting High-level Component-Connector View from Detailed UML Models: A Case Study. COMPSAC (2) 2007: 527-534 - 2006
- [j1]Laxman D. Netak, Arvind W. Kiwelekar:
Efficient Network Management Using SNMP. J. Netw. Syst. Manag. 14(2): 189-194 (2006) - 2000
- [c1]Arvind W. Kiwelekar:
Tutorial B: CORBA: As a Cluster Middleware. CLUSTER 2000: 3-4
Coauthor Index
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last updated on 2024-08-05 20:20 CEST by the dblp team
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