Heartfelt congratulations to Kabiratun Ummi Oyshe (Student ID: 191002237) and Prothoma Khan Chowdhury (Student ID: 191002256) from the Department of CSE, Green University of Bangladesh (GUB) for the acceptance of their groundbreaking research manuscript titled "Computer Vision-based Hybrid Efficient Convolution (HEC) for Continuous Sign Language Recognition" in the prestigious journal Neural Computing and Applications (NCAA), published by Springer.
This outstanding achievement highlights their dedication, perseverance, and innovative contributions to the fields of computer vision and sign language recognition. Special appreciation goes to Dr. Muhammad Aminur Rahaman, Chairperson, Dept. of CSE, GUB, and Tanoy Debnath, Lecturer (On Study Leave), Dept. of CSE, GUB, for their invaluable guidance and mentorship throughout this research journey.
We extend our best wishes for their continued success in advancing research and technology in computer vision and AI-driven sign language recognition. ππβ¨
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