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Results for “"Khandakar Ahmed"”

16+ results

Explainable deep learning model for automatic mulberry leaf disease classification

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Md. Nahiduzzaman, Muhammad E. H. Chowdhury, Abdus Salam, Emama Nahid et al.

Journal: Frontiers in Plant ScienceYear: 2023Citations: 65

Mulberry leaves feed Bombyx mori silkworms to generate silk thread. Diseases that affect mulberry leaves have reduced crop and silk yields in sericulture, which produces 90% of the world's raw silk. Manual leaf disease identification is tedious and error-prone. Computer vision can categorize leaf di...

Life SciencesAgricultural and Biological SciencesPlant ScienceOpen Access
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Vulnerability to HIV infection among sex worker and non-sex worker female injecting drug users in Dhaka, Bangladesh: evidence from the baseline survey of a cohort study.

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Tasnim Azim, Ezazul Islam Chowdhury, Masud Reza, Munir Ahmed et al.

Journal: Harm Reduction JournalYear: 2006Citations: 64

BACKGROUND: Very little is known about female injecting drug users (IDU) in Bangladesh but anecdotal evidence suggests that they are hidden and very vulnerable to HIV through both their injection sharing and sexual risk behaviors. In order to better understand the risks and vulnerability to HIV of f...

Health SciencesMedicineEpidemiologyOpen Access
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Conjunctive use of saline and fresh water increases the productivity of maize in saline coastal region of Bangladesh

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Khandakar Faisal Ibn Murad, Akbar Hossain, Oli Ahmed Fakir, Sujit K. Biswas et al.

Journal: Agricultural Water ManagementYear: 2018Citations: 54
Life SciencesAgricultural and Biological SciencesPlant Science
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Diabetic Foot Ulcer Detection: Combining Deep Learning Models for Improved Localization

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Rusab Sarmun, Muhammad E. H. Chowdhury, M. Murugappan, Ahmed Aqel et al.

Journal: Cognitive ComputationYear: 2024Citations: 50

Abstract Diabetes mellitus (DM) can cause chronic foot issues and severe infections, including Diabetic Foot Ulcers (DFUs) that heal slowly due to insufficient blood flow. A recurrence of these ulcers can lead to 84% of lower limb amputations and even cause death. High-risk diabetes patients require...

Health SciencesMedicineEndocrinology, Diabetes and MetabolismOpen Access
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Pattern Discovery of Web Usage Mining

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Shahnaz Parvin Nina, Mahmudur Rahman, Khairul Islam Bhuiyan, Khandakar Ahmed

Year: 2009Citations: 50

This paper provides a comprehensive idea about the pattern discovery of web usage mining. Web site designers should have clear understanding of user’s profile and site objectives, as well as an emphasized knowledge of the way users will browse web pages. The designers can study the visitor’s activit...

Physical SciencesComputer ScienceInformation SystemsOpen Access
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NDDNet: a deep learning model for predicting neurodegenerative diseases from gait pattern

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Md. Ahasan Atick Faisal, Muhammad E. H. Chowdhury, Zaid Bin Mahbub, Shona Pedersen et al.

Journal: Applied IntelligenceYear: 2023Citations: 34
Physical SciencesEngineeringBiomedical Engineering
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Signature Verification Using Convolutional Neural Network

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Shayekh Mohiuddin Ahmed Navid, Shamima Haque Priya, Nabiul Hoque Khandakar, Zannatul Ferdous et al.

Year: 2019Citations: 34

Signatures are widely used to validate the authentication of an individual. A robust method is still awaited that can correctly certify the authenticity of a signature. The proposed solution provided in this paper is going to help individuals to distinguish signatures for determining whether a signa...

Physical SciencesComputer ScienceComputer Vision and Pattern Recognition
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Groundwater Level Prediction Using a Multiple Objective Genetic Algorithm-Grey Relational Analysis Based Weighted Ensemble of ANFIS Models

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Dilip Kumar Roy, Sujit K. Biswas, Mohamed A. Mattar, Ahmed A. El-Shafei et al.

Journal: WaterYear: 2021Citations: 33

Predicting groundwater levels is critical for ensuring sustainable use of an aquifer’s limited groundwater reserves and developing a useful groundwater abstraction management strategy. The purpose of this study was to assess the predictive accuracy and estimation capability of various models based o...

Physical SciencesEnvironmental ScienceEnvironmental EngineeringOpen Access
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Optimizing tea waste as a sustainable substrate for oyster mushroom (Pleurotus ostreatus) cultivation: a comprehensive study on biological efficiency and nutritional aspect

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Raisa Ahmed, Md Asif Hasan Mazumder Niloy, Md Shafiqul Islam, Md. Selim Reza et al.

Journal: Frontiers in Sustainable Food SystemsYear: 2024Citations: 28

Introduction In Bangladesh, rice straw (RS) and sawdust (SD) substrates have traditionally been used in the production of oyster mushrooms ( Pleurotus ostreatus ). However, the rising costs of these substrates have led many to look for alternatives. Objectives The present study thus focuses on the p...

Health SciencesMedicinePharmacologyOpen Access
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MultiResUNet3+: A Full-Scale Connected Multi-Residual UNet Model to Denoise Electrooculogram and Electromyogram Artifacts from Corrupted Electroencephalogram Signals

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Md Shafayet Hossain, Sakib Mahmud, Amith Khandakar, Nasser Al‐Emadi et al.

Journal: BioengineeringYear: 2023Citations: 28

Electroencephalogram (EEG) signals immensely suffer from several physiological artifacts, including electrooculogram (EOG), electromyogram (EMG), and electrocardiogram (ECG) artifacts, which must be removed to ensure EEG's usability. This paper proposes a novel one-dimensional convolutional neural n...

Life SciencesNeuroscienceCognitive NeuroscienceOpen Access
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PCovNet: A presymptomatic COVID-19 detection framework using deep learning model using wearables data

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Farhan Fuad Abir, Khalid Alyafei, Muhammad E. H. Chowdhury, Amith Khandakar et al.

Journal: Computers in Biology and MedicineYear: 2022Citations: 27

While the advanced diagnostic tools and healthcare management protocols have been struggling to contain the COVID-19 pandemic, the spread of the contagious viral pathogen before the symptom onset acted as the Achilles’ heel. Although reverse transcription-polymerase chain reaction (RT-PCR) has been ...

Health SciencesMedicineRadiology, Nuclear Medicine and ImagingOpen Access
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Reading comprehension based question answering system in Bangla language with transformer-based learning

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Tanjim Taharat Aurpa, Richita Khandakar Rifat, Md Shoaib Ahmed, Md Musfique Anwar et al.

Journal: HeliyonYear: 2022Citations: 26

Question answering (QA) system in any language is an assortment of mechanisms for obtaining answers to user questions with various data compositions. Reading comprehension (RC) is one type of composition, and the popularity of this type is increasing day by day in Natural Language Processing (NLP) r...

Physical SciencesComputer ScienceArtificial IntelligenceOpen Access
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HipXNet: Deep Learning Approaches to Detect Aseptic Loos-Ening of Hip Implants Using X-Ray Images

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Tawsifur Rahman, Amith Khandakar, Khandaker Reajul Islam, Md Mohiuddin Soliman et al.

Journal: IEEE AccessYear: 2022Citations: 24

Radiographic images are commonly used to detect aseptic loosening of the hip implant in patients with total hip replacement (THR) surgeries. These techniques of manual assessment by medical professionals can suffer from the drawback of low accuracy, poor inter-observer reliability, delays due to the...

Physical SciencesEngineeringBiomedical EngineeringOpen Access
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An Effective Hotel Recommendation System through Processing Heterogeneous Data

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Md. Shafiul Alam Forhad, Mohammad Shamsul Arefin, A. S. M. Kayes, Khandakar Ahmed et al.

Journal: ElectronicsYear: 2021Citations: 23

Recommendation systems have recently gained a lot of popularity in various industries such as entertainment and tourism. They can act as filters of information by providing relevant suggestions to the users through processing heterogeneous data from different networks. Many travelers and tourists ro...

Social SciencesSociology and Political ScienceDigital Marketing and Social MediaOpen Access
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Smart aquaponics: An innovative machine learning framework for fish farming optimization

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Amith Khandakar, I. M. Elzein, Md. Nahiduzzaman, Mohamed Arselene Ayari et al.

Journal: Computers & Electrical EngineeringYear: 2024Citations: 22

This study presents an innovative approach to aquaponics by integrating artificial intelligence (AI). The system addresses sustainability challenges by utilizing a novel approach to machine learning to create a fully sustainable system that improves nutrition and fish growth in aquaponics. The study...

Life SciencesAgricultural and Biological SciencesAquatic ScienceOpen Access
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