Genetic Sequence compression using Machine Learning and Arithmetic Encoding Decoding Techniques

no code implementations • 6 Dec 2022 • Mehedi Hasan Sarkar, Adnan Ferdous Ashrafi

We live in a period where bio-informatics is rapidly expanding, a significant quantity of genomic data has been produced as a result of the advancement of high-throughput genome sequencing technology, raising concerns about the costs associated with data storage and transmission.

DoubleU-NetPlus: A Novel Attention and Context Guided Dual U-Net with Multi-Scale Residual Feature Fusion Network for Semantic Segmentation of Medical Images

no code implementations • 25 Nov 2022 • Md. Rayhan Ahmed, Adnan Ferdous Ashrafi, Raihan Uddin Ahmed, Swakkhar Shatabda, A. K. M. Muzahidul Islam, Salekul Islam

In addition, we introduce a novel triple attention gate module and a hybrid triple attention module to encourage selective modeling of relevant medical image features.

Image Segmentation Medical Image Segmentation +1

MCFFA-Net: Multi-Contextual Feature Fusion and Attention Guided Network for Apple Foliar Disease Classification

no code implementations • 25 Nov 2022 • Md. Rayhan Ahmed, Adnan Ferdous Ashrafi, Raihan Uddin Ahmed, Tanveer Ahmed

Therefore, it is crucial to study the identification and classification of different apple foliar diseases.

Transfer Learning