Improving accuracy using ML/DL in vision based techniques of ISLR-Reference-Cited by-同舟云学术

Improving accuracy using ML/DL in vision based techniques of ISLR

Published:2023-08-03 Issue: Volume: Page:
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Singla Venus^ORCID,Bawa Seema,Singh Jasmeet

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

https://link.springer.com/content/pdf/10.1007/s11042-023-16299-5.pdf

Reference71 articles.

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2. Alaskar H, Saba T (2021) Machine Learning and Deep Learning: A Comparative Review. In: Singh Mer, K.K., Semwal, V.B., Bijalwan, V., Crespo, R.G. (eds) Proceedings of Integrated Intelligence Enable Networks and Computing. Algorithms for Intelligent Systems. Springer, Singapore, pp 143–150. https://doi.org/10.1007/978-981-33-6307-6-15

3. Amrutha K, Prabu P (2021) ML Based Sign Language Recognition System. In: 2021 International Conference on Innovative Trends in Information Technology (ICITIIT). IEEE, Kottayam, India, pp 1–6. https://doi.org/10.1109/ICITIIT51526.2021.9399594

4. Badhe PC, Kulkarni V (2020) Artificial Neural Network based Indian Sign Language Recognition using hand crafted features. In: 2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT), IEEE, Kharagpur, India, pp 1–6. https://doi.org/10.1109/ICCCNT49239.2020.9225294

5. Badiger RM, LD (2021) Recognition of South Indian Sign Languages for Still Images Using Convolutional Neural Network. Int J Futur Gen Commun Networking 14:832–843

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