Clustering based Max-Min Scheduling in Cloud Environment von Ahmed, Zonayed, Ferdous, Adnan, Mahbub, Maliha

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Genetic Sequence compression using Machine Learning and Arithmetic Encoding Decoding Techniques von Sarkar, Mehedi Hasan, Adnan Ferdous Ashrafi

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MCFFA-Net: Multi-Contextual Feature Fusion and Attention Guided Network for Apple Foliar Disease Classification von Ahmed, Md Rayhan, Adnan Ferdous Ashrafi, Raihan Uddin Ahmed, Ahmed, Tanveer

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DoubleU-NetPlus: a novel attention and context-guided dual U-Net with multi-scale residual feature fusion network for semantic segmentation of medical images von Ahmed, Md. Rayhan, Ashrafi, Adnan Ferdous, Ahmed, Raihan Uddin, Shatabda, Swakkhar, Islam, A. K. M. Muzahidul, Islam, Salekul

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DoubleU-NetPlus: A Novel Attention and Context Guided Dual U-Net with Multi-Scale Residual Feature Fusion Network for Semantic Segmentation of Medical Images von Ahmed, Md Rayhan, Adnan Ferdous Ashrafi, Raihan Uddin Ahmed, Shatabda, Swakkhar, A K M Muzahidul Islam, Islam, Salekul

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A novel approach towards the classification of Bone Fracture from Musculoskeletal Radiography images using Attention Based Transfer Learning von Ruhi, Sayeda Sanzida Ferdous, Nahar, Fokrun, Ashrafi, Adnan Ferdous

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A novel approach towards the classification of Bone Fracture from Musculoskeletal Radiography images using Attention Based Transfer Learning von Sayeda Sanzida Ferdous Ruhi, Nahar, Fokrun, Adnan Ferdous Ashrafi

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Prediction of a Gene Regulatory Network from Gene Expression Profiles With Linear Regression and Pearson Correlation Coefficient von Onik, Md Mehedi Hassan, Nobin, Shakhawat Ahmmed, Ashrafi, Adnan Ferdous, Chowdhury, Tareque Mohmud

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Prediction of a Gene Regulatory Network from Gene Expression Profiles With Linear Regression and Pearson Correlation Coefficient von Md Mehedi Hassan Onik, Shakhawat Ahmmed Nobin, Adnan Ferdous Ashrafi, Chowdhury, Tareque Mohmud

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