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Rafeed Rahman
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2020 – today
- 2024
- [j2]Khan Abrar Shams, Md. Rafid Reaz, Mohammad Ryan Ur Rafi, Sanjida Islam, Md. Shahriar Rahman, Rafeed Rahman, Md. Tanzim Reza, Mohammad Zavid Parvez, Subrata Chakraborty, Biswajeet Pradhan, Abdullah M. Alamri:
MultiModal Ensemble Approach Leveraging Spatial, Skeletal, and Edge Features for Enhanced Bangla Sign Language Recognition. IEEE Access 12: 83638-83657 (2024) - [j1]Md. Fahim Ul Islam, Amitabha Chakrabarty, Sarder Tanvir Ahmed, Rafeed Rahman, Hyun-Han Kwon, Md. Jalil Piran:
A Comprehensive Approach Toward Wheat Leaf Disease Identification Leveraging Transformer Models and Federated Learning. IEEE Access 12: 109128-109156 (2024) - [i2]Md. Shahriar Rahman Anuvab, Mishkat Sultana, Md. Atif Hossain, Shashwata Das, Suvarthi Chowdhury, Rafeed Rahman, Dibyo Fabian Dofadar, Shahriar Rahman Rana:
PlateSegFL: A Privacy-Preserving License Plate Detection Using Federated Segmentation Learning. CoRR abs/2404.05049 (2024) - 2023
- [c6]Rakibul Alam Nahin, Md. Tahmidul Islam, Abrar Kabir, Sadiya Afrin, Imtiaz Ahmed Chowdhury, Rafeed Rahman, Md. Golam Rabiul Alam:
Electroencephalogram-based Emotion Recognition with Hybrid Graph Convolutional Network Model. CCWC 2023: 705-711 - [c5]Md. Imdadul Haque Emon, Khondoker Nazia Iqbal, Istinub Azad, Amena Akter Aporna, Nibraj Safwan Amlan, Md Saiful Islam, Rafeed Rahman:
Intracranial Brain Hemorrhage Diagnosis and Classification: A Hybrid Approach. ICICT 2023: 95-99 - 2022
- [c4]Dibyo Fabian Dofadar, Hasnat Md. Abdullah, Riyo Hayat Khan, Rafeed Rahman, Md. Sabbir Ahmed:
A Comparative Analysis of Lumpy Skin Disease Prediction Through Machine Learning Approaches. IICAIET 2022: 1-4 - [i1]Sajib Kumar Saha Joy, Dibyo Fabian Dofadar, Riyo Hayat Khan, Md. Sabbir Ahmed, Rafeed Rahman:
A Comparative Study on COVID-19 Fake News Detection Using Different Transformer Based Models. CoRR abs/2208.01355 (2022) - 2021
- [c3]Md. Sabbir Ahmed, Rafeed Rahman, Zarif Raiyan Arefeen, Auninda Alam, Marjan Tahreen:
Effort To Mitigate Malaria Via Early Detection Using Hybrid Machine Learning Architectures. ICCTA 2021: 155-159 - [c2]Fahim Rahman, Md. Istiyak Ahmed, Saif Shahnewaz Saad, Md Ashrafuzzaman, Sharita Shehnaz Mogno, Rafeed Rahman, Mohammad Zavid Parvez:
Prediction And Detection In Change Of Cognitive Load For VIP's By A Machine Learning Approach. IICAIET 2021: 1-6 - [c1]Rafeed Rahman, Sifat Tanvir, Md. Tawhid Anwar:
Unique Approach to Detect Bowling Grips Using Fuzzy Logic Contrast Enhancement. IICAIET 2021: 1-6
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last updated on 2024-10-07 22:08 CEST by the dblp team
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