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Manjari Gupta
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2020 – today
- 2025
- [j23]Bethany Gosala, Avnish Ramvinay Singh, Himanshu Tiwari, Manjari Gupta:
GCN-LSTM: A hybrid graph convolutional network model for schizophrenia classification. Biomed. Signal Process. Control. 105: 107657 (2025) - [j22]Pravin Singh Yadav
, Rajwant Singh Rao
, Alok Mishra
, Manjari Gupta:
Ensemble methods with feature selection and data balancing for improved code smells classification performance. Eng. Appl. Artif. Intell. 139: 109527 (2025) - [j21]Mrityunjay Chaubey
, Lalit Kumar Singh
, Manjari Gupta
, Pooja Singh
:
A Reliable People Tracking in Nuclear Power Plant Control Room Monitoring System Using Particle Filter. IEEE Trans. Reliab. 74(1): 2041-2055 (2025) - 2024
- [j20]Vijeta Sharma, Manjari Gupta
, Ajai Kumar, Deepti Mishra
:
STAR-3D: A Holistic Approach for Human Activity Recognition in the Classroom Environment. Inf. 15(4): 179 (2024) - [j19]Mrityunjay Chaubey
, Lalit Kumar Singh, Manjari Gupta:
Estimation of missing video frames using Kalman filter. Multim. Tools Appl. 83(20): 58159-58179 (2024) - [c4]Bethany Gosala
, Manjari Gupta
:
A Transformer Based Emotion Recognition Model for Social Robots Using Topographical Maps Generated from EEG Signals. HCI (1) 2024: 262-271 - [i1]Abhay Kumar Pathak, Mrityunjay Chaubey, Manjari Gupta:
Randomized-Grid Search for Hyperparameter Tuning in Decision Tree Model to Improve Performance of Cardiovascular Disease Classification. CoRR abs/2411.18234 (2024) - 2023
- [j18]Bethany Gosala
, Pappu Dindayal Kapgate, Priyanka Jain
, Rameshwar Nath Chaurasia
, Manjari Gupta:
Wavelet transforms for feature engineering in EEG data processing: An application on Schizophrenia. Biomed. Signal Process. Control. 85: 104811 (2023) - [j17]Seema Dewangan, Rajwant Singh Rao
, Sripriya Roy Chowdhuri
, Manjari Gupta:
Severity Classification of Code Smells Using Machine-Learning Methods. SN Comput. Sci. 4(5): 564 (2023) - [c3]Bethany Gosala
, Emmanuel Raj Gosala
, Manjari Gupta
:
A Deep Learning Based Model to Study the Influence of Different Brain Wave Frequencies for the Disorder of Depression. MIWAI 2023: 449-458 - 2022
- [j16]Vijeta Sharma
, Manjari Gupta
, Anil Kumar Pandey, Deepti Mishra
, Ajai Kumar:
A Review of Deep Learning-based Human Activity Recognition on Benchmark Video Datasets. Appl. Artif. Intell. 36(1) (2022) - [j15]Manjari Gupta, Lava Bhargava
, S. Indu
:
Deep neural network learning for power limited heterogeneous system with workload classification. Computing 104(1): 95-122 (2022) - [j14]Anil Kumar Pandey
, Manjari Gupta:
Software fault classification using extreme learning machine: a cognitive approach. Evol. Intell. 15(4): 2261-2268 (2022) - [j13]Jyoti Singh, Sripriya Roy Chowdhuri
, Bethany Gosala
, Manjari Gupta
:
Detecting design patterns: a hybrid approach based on graph matching and static analysis. Inf. Technol. Manag. 23(3): 139-150 (2022) - 2021
- [j12]Vijeta Sharma
, Manjari Gupta
, Ajai Kumar, Deepti Mishra
:
Video Processing Using Deep Learning Techniques: A Systematic Literature Review. IEEE Access 9: 139489-139507 (2021) - [j11]Seema Dewangan, Rajwant Singh Rao, Alok Mishra
, Manjari Gupta
:
A Novel Approach for Code Smell Detection: An Empirical Study. IEEE Access 9: 162869-162883 (2021) - [j10]Manjari Gupta, Lava Bhargava
, S. Indu
:
Dynamic workload-aware DVFS for multicore systems using machine learning. Computing 103(8): 1747-1769 (2021) - [j9]Vijeta Sharma
, Manjari Gupta
, Ajai Kumar, Deepti Mishra
:
EduNet: A New Video Dataset for Understanding Human Activity in the Classroom Environment. Sensors 21(17): 5699 (2021) - [j8]Manjari Gupta, Lava Bhargava
, S. Indu
:
Mapping techniques in multicore processors: current and future trends. J. Supercomput. 77(8): 9308-9363 (2021) - 2020
- [j7]Mohammad Y. Mhawish
, Manjari Gupta:
Predicting Code Smells and Analysis of Predictions: Using Machine Learning Techniques and Software Metrics. J. Comput. Sci. Technol. 35(6): 1428-1445 (2020)
2010 – 2019
- 2012
- [j6]Noopur Goel, Manjari Gupta:
Empirical evaluation of the effect of flexibility upon testability of framework based application. ACM SIGSOFT Softw. Eng. Notes 37(6): 1-6 (2012) - 2011
- [j5]Manjari Gupta:
Design pattern mining using greedy algorithm for multi-labelled graphs. Int. J. Inf. Commun. Technol. 3(4): 314-323 (2011) - [j4]Manjari Gupta, Akshara Pande, Anil Kumar Tripathi:
Design patterns detection using SOP expressions for graphs. ACM SIGSOFT Softw. Eng. Notes 36(1): 1-5 (2011) - 2010
- [c2]Akshara Pande
, Manjari Gupta, Anil Kumar Tripathi:
A New Approach for Detecting Design Patterns by Graph Decomposition and Graph Isomorphism. IC3 (2) 2010: 108-119 - [c1]Akshara Pande
, Manjari Gupta, Anil Kumar Tripathi:
A Decision Tree Approach for Design Patterns Detection by Subgraph Isomorphism. ICT 2010: 561-564
2000 – 2009
- 2009
- [j3]Manjari Gupta, Ratneshwer Gupta, Anil Kumar Tripathi:
An Exploratory Case Study in Designing and Implementing Tight Versus Loose Frameworks. J. Softw. Eng. Appl. 2(3): 209-220 (2009) - 2008
- [j2]Anil Kumar Tripathi, Ratneshwer Gupta, Manjari Gupta:
Some observations on software processes for CBSE. Softw. Process. Improv. Pract. 13(5): 411-419 (2008) - 2006
- [j1]Anil Kumar Tripathi, Manjari Gupta:
Risk analysis in reuse-oriented software development. Int. J. Inf. Technol. Manag. 5(1): 52-65 (2006)
Coauthor Index

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last updated on 2025-04-09 21:27 CEST by the dblp team
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