Garima Jaiswal

Orcid: 0000-0002-2676-299X

According to our database1, Garima Jaiswal authored at least 13 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2024
Enhancing cyberbullying detection: a comparative study of ensemble CNN-SVM and BERT models.
Soc. Netw. Anal. Min., December, 2024

Forged document detection and writer identification through unsupervised deep learning approach.
Multim. Tools Appl., February, 2024

Federated Learning With Dataset Splitting and Weighted Mean Using Particle Swarm Optimization.
IEEE Access, 2024

2023
Integration of hyperspectral imaging and autoencoders: Benefits, applications, hyperparameter tunning and challenges.
Comput. Sci. Rev., November, 2023

Hyperspectral imaging for early diagnosis of diseases: A review.
Expert Syst. J. Knowl. Eng., September, 2023

Automated Diagnosis of Parkinson's Disease using Speech Signals with Machine Learning.
Proceedings of the 26th Conference of the Oriental COCOSDA International Committee for the Co-ordination and Standardisation of Speech Databases and Assessment Techniques, 2023

Autoencoder Image Compression For High Compression And Acceptable Quality.
Proceedings of the OITS International Conference on Information Technology, 2023

2022
DFD-SS: Document Forgery Detection using Spectral - Spatial Features for Hyperspectral Images.
J. Vis. Commun. Image Represent., 2022

Deep feature extraction for document forgery detection with convolutional autoencoders.
Comput. Electr. Eng., 2022

2021
Critical insights into modern hyperspectral image applications through deep learning.
WIREs Data Mining Knowl. Discov., 2021

Efficient Ink Mismatch Detection Using Supervised Approach.
Proceedings of the Advances in Computing and Data Sciences - 5th International Conference, 2021

Detecting Document Forgery Using Hyperspectral Imaging and Machine Learning.
Proceedings of the Computer Vision and Image Processing - 6th International Conference, 2021

2019
Analytical Approach for Predicting Dropouts in Higher Education.
Int. J. Inf. Commun. Technol. Educ., 2019


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