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DeepCactus: A Transfer Learning-Driven CNN Model for Accurate Identification of Morphologically Overlapping Cactus Breeds
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Kazi Md. Tanzil Islam
FARHANA SYMOOM,
K. M. Arafat Islam,
Md. Hasan Imam Bijoy,
Md. Sakibul Hassan Omi
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Lecture Notes in Networks and Systems
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fsit |
cse |
2026 |
Click Here |
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Deep ensemble of multi-head attention CNNs for histopathological image-based of lung and colon cancer diagnosis
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Mohammad Ali Moni
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Digital Health
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fsit |
cse |
2026 |
Click Here |
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Deep Learning Approaches: Ensemble-Based Robust Identification of Grapevine Leaves
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Mahamudul Hasan Sourov
Hossain Mohammad Shuvo,
SHOVAN SAMANTA TURZO,
Taifur Rahman
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2026 5th International Conference on Electrical, Computer and Telecommunication Engineering, ICECTE 2026
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fsit |
cse |
2026 |
Click Here |
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Deep Learning-Based Breast Cancer Classification: A Comprehensive Study on Mammogram Images
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Shadhin Ahmed
Md. Ferdous Jaman,
Sadia Jannat Mitu,
Somaia Sarmin Shouma
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2026 5th International Conference on Electrical, Computer and Telecommunication Engineering, ICECTE 2026
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fsit |
cse |
2026 |
Click Here |
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Deep Learning Framework for Multi-Class Noise Classification in Mid-Infrared Supercontinuum Generation
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M. Shah Alam
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Proceedings of the International Colloquium on Signal Processing and Its Applications, CSPA
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fe |
eee |
2026 |
Click Here |
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Deep Learning Optimized SPR Multi-Analyte Biosensor for Simultaneous Detection of Water Pathogens
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Kawsar Ahmed
Md Mamun Ali
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IEEE Photonics Technology Letters
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fsit |
cse |
2026 |
Click Here |
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DeepLungBalance: Addressing Class Imbalance in Deep Learning-Based Lung Cancer Detection with Explainable AI and Prototype Deployment
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Md. Ferdous Jaman
Morium,
Sadia Jannat Mitu,
Somaia Sarmin Shouma
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2026 IEEE 2nd International Conference on Quantum Photonics, Artificial Intelligence and Networking, QPAIN 2026
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fsit |
cse |
2026 |
Click Here |
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Deep-lymph: An advanced deep learning framework for precision diagnosis of lymphoma from histopathological images
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Md. Assaduzzaman
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Intelligence-Based Medicine
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fsit |
cse |
2026 |
Click Here |
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Deep neural networks for predicting kidney health: focus on cyst, stone, tumor, and normal classification
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Abdey Rabby
JANNATUN NAIMA JANNAT,
Md Assaduzzaman,
Rahmatul Kabir Rasel Sarker,
Raja Tariqul Hasan Tusher
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Bulletin of Electrical Engineering and Informatics
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fsit |
cse |
2026 |
Click Here |
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Deep reinforcement learning–driven multi-omics integration for constructing gtAge: a novel aging clock from IgG N-glycome and blood transcriptome
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Syed Mohammed Shamsul Islam
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Engineering
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fsit |
cis |
2026 |
Click Here |