output
20132026
most citedIdentification and Recognition of Rice Diseases and Pests Using Convolutional Neural Networks

551 citations

Showing 2022Show all

5 papers · 1 filter

eess.IV2022★ 34 cited

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

Md. Rayhan Ahmed, Adnan Ferdous Ashrafi, Raihan Uddin Ahmed +3

Accurate segmentation of the region of interest in medical images can provide an essential pathway for devising effective treatment plans for life-threatening diseases. It is still…

cs.CV2022★ 14 cited

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

Md. Rayhan Ahmed, Adnan Ferdous Ashrafi, Raihan Uddin Ahmed +1

Numerous diseases cause severe economic loss in the apple production-based industry. Early disease identification in apple leaves can help to stop the spread of infections and prov…

cs.CL2022★ 8 cited

DPCSpell: A Transformer-based Detector-Purificator-Corrector Framework for Spelling Error Correction of Bangla and Resource Scarce Indic Languages

Mehedi Hasan Bijoy, Nahid Hossain, Salekul Islam +1

Spelling error correction is the task of identifying and rectifying misspelled words in texts. It is a potential and active research topic in Natural Language Processing because of…

cs.CL2022★ 4 cited

BSpell: A CNN-Blended BERT Based Bangla Spell Checker

Chowdhury Rafeed Rahman, MD. Hasibur Rahman, Samiha Zakir +2

Bangla typing is mostly performed using English keyboard and can be highly erroneous due to the presence of compound and similarly pronounced letters. Spelling correction of a miss…

cs.CR2022★ 116 cited

Ransomware Classification and Detection With Machine Learning Algorithms

Mohammad Masum, Md Jobair Hossain Faruk, Hossain Shahriar +3

Malicious attacks, malware, and ransomware families pose critical security issues to cybersecurity, and it may cause catastrophic damages to computer systems, data centers, web, an…