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Author

Manjushree D. Laddha

Observed names: Laddha Manjushree D., Laddha, Manjushree D., Manjushree Laddha
ORCID: 0000-0002-6265-1728
Observed ORCID: 0000-0002-6265-1728
OpenAlex ID: A5043117670
Classifications of the Summative Assessment for Revised Bloom’s Taxonomy by using Deep Learning
2021 · Manjushree D. Laddha, Varsha T. Lokare, et al. · International Journal of Engineering Trends and Technology · 45
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Performance Analysis of the Impact of Technical Skills on Employability
2021 · Manjushree D. Laddha, Varsha T. Lokare, et al. · International Journal of Performability Engineering · 24
A Performance Analysis of the Impact of PriorKnowledge on Computational Thinking
2023 · Swanand K. Navandar, Arvind W. Kiwelekar, et al. · International Journal of Modern Education and Computer Science · 5
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Analyzing Performance in a Computer Programming Course Through a Two-System Model
2022 · Navandar Swanand K., Laddha Manjushree D., et al. · International Journal of Performability Engineering · 4
A Correlation Analysis Between Cognitive Process and Knowledge Dimension in Software Engineering by Using the Revised Bloom’s Taxonomy
2021 · Manjushree D. Laddha, Laxman D. Netak, et al. · Lecture notes in computer science · 4
The Impact of Cognitive Bias on Students’ Programming Performance in an Introduction to Programming Course
2022 · Swanand K. Navandar, Arvind W. Kiwelekar, et al. · International Journal of Performability Engineering · 3
An Architectural Perspective of Learning Analytics
2019 · Arvind W. Kiwelekar, Manjushree D. Laddha, et al. · Intelligent systems reference library · 3
Adopting Pre-trained Large Language Models for Regional Language Tasks: A Case Study
2024 · Harsha Gaikwad, Arvind Kiwelekar, et al. · Lecture notes in computer science · 2
Cognitive Science: An Insightful Approach
2023 · Manjushree D. Laddha, Harsha R. Gaikwad, et al. · Lecture notes in networks and systems · 1
Validating Pre-requisite Dependencies Through Student Response Analysis
2022 · Manjushree D. Laddha, Swanand Navandar, et al. · Lecture notes in computer science · 1
Exemplar Use-Cases for Training Teachers on Learning Analytics
2022 · Arvind W. Kiwelekar, Manjushree D. Laddha, et al. · Learning and analytics in intelligent systems · 1
To Predict Employability of Student by Using Artificial Neural Network
2021 · Manjushree D. Laddha, Arvind W. Kiwelekar, et al. · Lecture notes in electrical engineering · 1
Correction : A performance analysis of a large language model for Marathi language NLP tasks
2026 · Harsha R. Gaikwad, Manjushree D. Laddha, et al. · Language Resources and Evaluation
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A performance analysis of a large language model for Marathi language NLP tasks
2026 · Harsha R. Gaikwad, Manjushree D. Laddha, et al. · Language Resources and Evaluation
Quantum Software Architecture Framework (QSAF): A Component-Based Framework for Designing Hybrid Quantum-Classical Systems
2026 · Kiwelekar, Arvind W., Tembe, Shweta, et al. · arXiv (Cornell University)
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Predicting Students' Concentration in Cognitive Activities Using EEG and Deep Learning Techniques
2026 · Harsha Gaikwad, Yogesh Patil, et al. · ITEGAM- Journal of Engineering and Technology for Industrial Applications (ITEGAM-JETIA)
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Comparative Performance Analysis of Machine Learning Models for Agricultural Crop Prediction
2026 · Aditya G. Nanaware, Harsha R. Gaikwad, et al. · Lecture notes in networks and systems
Empowering Educators Through Large Language Models: A Systematic Review
2025 · Zarrin Jalgaonkar, Harsha Gaikwad, et al. · OITS International Conference on Information Technology (OCIT)
Deep Learning Techniques for Detecting COVID-19
2023 · Harsha Gaikwad, Manjushree Laddha, et al. · Lecture notes in networks and systems
Works count: 19
Citation count: 94
H-index: 4
I10-index: 2
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