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Sign Language Recognition with Machine Learning |
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Sign Language Recognition with Machine Learning |
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Welcome to our article highlighting a significant breakthrough in machine learning for sign language recognition. Our research, initially presented at the prestigious International Conference on Communication, Devices and Networking (ICCDN) 2022, has now been successfully published in the esteemed journal Advances in Communication, Devices and Networking, published by Springer Nature.
Title: "Sign Language Recognition with Machine Learning: A Breakthrough Approach"
Conference: International Conference on Communication, Devices and Networking (ICCDN) 2022
Published in: Springer Nature's Advances in Communication, Devices and Networking
Publication pages: 297–308
Article link : https://link.springer.com/chapter/10.1007/978-981-99-1983-3_29#citeas
We owe this remarkable achievement to the tireless dedication and group efforts of our talented team members. Their commitment to pushing technological boundaries and enhancing accessibility for the deaf population has propelled our research to new heights.
We express our heartfelt gratitude to our project guides, Prof. Debasree Mitra and Dr. (Prof.) Pranati Rakshit, for their unwavering support, expertise, guidance, and encouragement. Their mentorship helped us overcome challenges and achieve our goals, making this project a resounding success.
We extend our appreciation to the skilled and dedicated individuals who contributed significantly to this milestone. Special recognition goes to Shubhranil Mazumder, Sanjoy Banik, Suman Manna, and @Sutapa Das for their tireless work and unwavering pursuit of quality.
We would like to convey our heartfelt gratitude to the ICCDN 2022 organizing team for providing us with a global platform to share our findings. The informative discussions and valuable comments during the conference greatly improved our work and prepared it for publication.
We are honored that Springer Nature recognized the importance of our research and chose to publish our paper in Advances in Communication, Devices and Networking. This prestigious journal allows us to share our research with scientists, industry experts, and field enthusiasts, contributing to the advancement of the field.
Kudos to the entire team for this outstanding accomplishment! We remain committed to pushing limits, dismantling barriers, and leveraging technology to advance society. Together, we can build a society where communication knows no boundaries. Join us in celebrating this breakthrough in machine learning for sign language recognition.
