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Results for “"Chowdhury Rafeed Rahman"”

16+ results

Identification and recognition of rice diseases and pests using convolutional neural networks

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Chowdhury Rafeed Rahman, Preetom S. Arko, Mohammed Eunus Ali, Mohammad Ashik Iqbal Khan et al.

Journal: Biosystems EngineeringYear: 2020Citations: 542

Accurate and timely detection of diseases and pests in rice plants can help farmers in applying timely treatment on the plants and thereby can reduce the economic losses substantially. Recent developments in deep learning-based convolutional neural networks (CNN) have greatly improved image classifi...

Life SciencesAgricultural and Biological SciencesPlant ScienceOpen Access
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iPromoter-BnCNN: a novel branched CNN-based predictor for identifying and classifying sigma promoters

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Ruhul Amin, Chowdhury Rafeed Rahman, Sajid Ahmed, Md. Habibur Rahman Sifat et al.

Journal: BioinformaticsYear: 2020Citations: 63

MOTIVATION: Promoter is a short region of DNA which is responsible for initiating transcription of specific genes. Development of computational tools for automatic identification of promoters is in high demand. According to the difference of functions, promoters can be of different types. Promoters ...

Life SciencesBiochemistry, Genetics and Molecular BiologyMolecular BiologyOpen Access
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A convolution based computational approach towards DNA N6-methyladenine site identification and motif extraction in rice genome

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Chowdhury Rafeed Rahman, Ruhul Amin, Swakkhar Shatabda, Md. Sadrul Islam Toaha

Journal: Scientific ReportsYear: 2021Citations: 18

DNA N6-methylation (6mA) in Adenine nucleotide is a post replication modification responsible for many biological functions. Automated and accurate computational methods can help to identify 6mA sites in long genomes saving significant time and money. Our study develops a convolutional neural networ...

Life SciencesBiochemistry, Genetics and Molecular BiologyMolecular BiologyOpen Access
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Automatic signboard detection and localization in densely populated developing cities

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Md. Sadrul Islam Toaha, Sakib Bin Asad, Chowdhury Rafeed Rahman, Shafin Haque et al.

Journal: Signal Processing Image CommunicationYear: 2022Citations: 6

. Most city establishments of developing cities are digitally un-labeled because of the lack of automatic annotation systems. Hence location and trajectory services such as Google Maps, Uber etc remain un-derutilized in such cities. Accurate signboard detection in natural scene images is the foremos...

Physical SciencesComputer ScienceComputer Vision and Pattern Recognition
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Automatic Signboard Detection from Natural Scene Image in Context of Bangladesh Google Street View

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Md. Sadrul Islam Toaha, Chowdhury Rafeed Rahman, Sakib Bin Asad, Tashin Ahmed et al.

Journal: arXiv (Cornell University)Year: 2020Citations: 5

Automatic signboard region detection is the first step of information extraction about establishments from an image, especially when there is a complex background and multiple signboard regions are present in the image. Automatic signboard detection in Bangladesh is a challenging task because of low...

Physical SciencesEngineeringMedia TechnologyOpen Access
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iPromoter-BnCNN: a novel branched CNN based predictor for identifying and classifying sigma promoters

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Ruhul Amin, Chowdhury Rafeed Rahman, Md. Habibur Rahman Sifat, Nazmul Khan Liton et al.

Journal: bioRxiv (Cold Spring Harbor Laboratory)Year: 2019Citations: 5

Abstract Motivation Promoter is a short region of DNA which is responsible for initiating transcription of specific genes. Development of computational tools for automatic identification of promoters is in high demand. According to the difference of functions, promoters can be of different types. Pr...

Life SciencesBiochemistry, Genetics and Molecular BiologyMolecular BiologyOpen Access
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Electroencephalogram-based Emotion Recognition with Hybrid Graph Convolutional Network Model

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Rakibul Alam Nahin, Md. Tahmidul Islam, Abrar Kabir, Sadiya Afrin et al.

Year: 2023Citations: 4

In this rapidly changing world, machine learning has been creating a huge impact in daily aspects from smart cities to self-driving cars. One of these will be the contribution to the brain-computer interface (BCI), where brain signals are used to identify the emotions of people during various events...

Life SciencesNeuroscienceCognitive Neuroscience
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An Efficient Deep Learning Approach to Detect Neurodegenerative Diseases Using Retinal Images

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Chowdhury Mohammad Irfanuddin, Wasique Islam Shafin, Koushik Ahmed, M. Khan et al.

Year: 2023Citations: 3

Neurodegenerative disorders like Multiple Sclerosis, Parkinson's disease, and Alzheimer's disease typically get diagnosed through brain MRI, CT scans, genetic testing, and various laboratory screening tests that are often tedious, time-consuming, and beyond the reach of the financial capability of m...

Health SciencesMedicineRadiology, Nuclear Medicine and Imaging
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Synthetic Error Dataset Generation Mimicking Bengali Writing Pattern

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Md. Habibur Rahman Sifat, Chowdhury Rafeed Rahman, Mohammad Rafsan, Hasibur Rahman

Journal: 2020 IEEE Region 10 Symposium (TENSYMP)Year: 2020Citations: 3

While writing Bengali using English keyboard, users often make spelling mistakes. The accuracy of any Bengali spell checker or paragraph correction module largely depends on the kind of error dataset it is based on. Manual generation of such error dataset is a cumbersome process. In this research, W...

Physical SciencesComputer ScienceComputer Vision and Pattern RecognitionOpen Access
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ReviewRanker: A Semi-Supervised Learning Based Approach for Code Review Quality Estimation

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Saifullah Mahbub, Md. Easin Arafat, Chowdhury Rafeed Rahman, Zannatul Ferdows et al.

Year: 2024Citations: 2

Inspection of code review process effectiveness and continuous improvement can boost development productivity. Such inspection is a time-consuming and human-bias-prone task. We propose a semi-supervised learning based system ReviewRanker which is aimed at assigning each code review a confidence scor...

Physical SciencesComputer ScienceInformation SystemsOpen Access
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Confronting the Constraints for Optical Character Segmentation from Printed Bangla Text Image

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Abu Saleh Md. Abir, Sanjana Rahman, Samia Ellin, Maisha Farzana et al.

Year: 2020Citations: 2

In a world of digitization, optical character recognition holds the automation to written history. Optical character recognition system basically converts printed images into editable texts for better storage and usability. To be completely functional, the system needs to go through some crucial met...

Physical SciencesComputer ScienceComputer Vision and Pattern RecognitionOpen Access
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A Convolution Based Computational Approach Towards DNA N6-methyladenine Site Identification and Motif Extraction in Rice Genome

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Chowdhury Rafeed Rahman, Ruhul Amin, Swakkhar Shatabda, Md. Sadrul Islam Toaha

Journal: bioRxiv (Cold Spring Harbor Laboratory)Year: 2020Citations: 1

ABSTRACT DNA N6-methylation (6mA) in Adenine nucleotide is a post replication modification responsible for many biological functions. Automated and accurate computational methods can help to identify 6mA sites in long genomes saving significant time and money. Our study develops a convolutional neur...

Life SciencesBiochemistry, Genetics and Molecular BiologyMolecular BiologyOpen Access
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A Comprehensive Comparison of Machine Learning Based Methods Used in Bengali Question Classification

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Afra Anika, Md. Hasibur Rahman, Salekul Islam, Abu Shafin Mohammad Mahdee Jameel et al.

Year: 2019Citations: 1

QA classification system maps questions asked by humans to an appropriate answer category. A sound question classification (QC) system model is the pre-requisite of a sound QA system. This work demonstrates phases of assembling a QA type classification model. We present a comprehensive comparison (p...

Physical SciencesComputer ScienceArtificial IntelligenceOpen Access
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ReviewRanker: A Semi-supervised Learning-Based Approach for Code Review Quality Estimation

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Saifullah Mahbub, Md. Easin Arafat, Chowdhury Rafeed Rahman, Zannatul Ferdows et al.

Journal: Lecture notes in electrical engineeringYear: 2024
Physical SciencesComputer ScienceInformation Systems
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Street View Signboard Objects (SVSO)

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Md. Sadrul Islam Toaha, Sakib Bin Asad, Chowdhury Rafeed Rahman, S. M. Shahriar Haque et al.

Journal: Zenodo (CERN European Organization for Nuclear Research)Year: 2022

<strong>Street View Signboard Objects (SVSO), a dataset that contains a total of 5000 signboard images of establishments. All images are in PNG file format with bit depth of 32 bits per pixel. The SVSO data includes signboard images of various shapes and colors from Dhaka, Chottogram, Sylhet, Mymens...

Physical SciencesEngineeringOcean EngineeringOpen Access
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