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Publication search results
found 9 matches
- 2024
- Toqi Tahamid Sarker, Taminul Islam, Khaled R. Ahmed:
Cannabis Seed Variant Detection using Faster R-CNN. CoRR abs/2403.10722 (2024) - Utsha Roy, Mst. Sazia Tahosin, Md. Mahedi Hassan, Taminul Islam, Fahim Imtiaz, Md Rezwane Sadik, Yassine Maleh, Rejwan Bin Sulaiman, Md. Simul Hasan Talukder:
Enhancing Bangla Fake News Detection Using Bidirectional Gated Recurrent Units and Deep Learning Techniques. CoRR abs/2404.01345 (2024) - Taminul Islam, Md. Alif Sheakh, Mst. Sazia Tahosin, Most. Hasna Hena, Shopnil Akash, Yousef A. Bin Jardan, Gezahign Fentahun Wondmie, Hiba-Allah Nafidi, Mohammed Bourhia:
Predictive Modeling for Breast Cancer Classification in the Context of Bangladeshi Patients: A Supervised Machine Learning Approach with Explainable AI. CoRR abs/2404.04686 (2024) - 2023
- Md. Alif Sheakh, Mst. Sazia Tahosin, Md Maruf Hasan, Taminul Islam, Onamika Islam, Md Masum Rana:
Child and Maternal Mortality Risk Factor Analysis Using Machine Learning Approaches. ISDFS 2023: 1-6 - Taminul Islam, Arindom Kundu, Tanzim Ahmed, Nazmul Islam Khan:
Analysis of Arrhythmia Classification on ECG Dataset. CoRR abs/2301.10174 (2023) - Md Habibur Rahman, Taminul Islam, Md Masum Rana, Rehnuma Tasnim, Tanzina Rahman Mona, Md. Mamun Sakib:
Machine Learning Approach on Multiclass Classification of Internet Firewall Log Files. CoRR abs/2306.07997 (2023) - 2022
- Taminul Islam, M. D. Alamin Hosen, Akhi Mony, M. D. Touhid Hasan, Israt Jahan, Arindom Kundu:
A Proposed Bi-LSTM Method to Fake News Detection. CoRR abs/2206.13982 (2022) - Md. Towfiqul Islam, Tanzim Ahmed, A. B. M. Raihanur Rashid, Taminul Islam, Md. Sadekur Rahman, Md. Tarek Habib:
Convolutional Neural Network Based Partial Face Detection. CoRR abs/2206.14350 (2022) - Taminul Islam, Arindom Kundu, Nazmul Islam Khan, Choyon Chandra Bonik, Flora Akter, Md Jihadul Islam:
Machine Learning Approaches to Predict Breast Cancer: Bangladesh Perspective. CoRR abs/2206.14972 (2022)
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retrieved on 2024-06-04 18:49 CEST from data curated by the dblp team
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