Search Results - "Ahsan, Md Manjurul"
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1
Monkeypox Diagnosis With Interpretable Deep Learning
Published in IEEE access (2023)“…As the world gradually recovers from the impacts of COVID-19, the recent global spread of Monkeypox disease has raised concerns about another potential…”
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2
Unlocking the Potential of XAI for Improved Alzheimer’s Disease Detection and Classification Using a ViT-GRU Model
Published in IEEE access (2024)“…Alzheimer’s Disease (AD) is a significant cause of dementia worldwide, and its progression from mild to severe affects an individual’s ability to perform daily…”
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3
Machine-Learning-Based Disease Diagnosis: A Comprehensive Review
Published in Healthcare (Basel) (15-03-2022)“…Globally, there is a substantial unmet need to diagnose various diseases effectively. The complexity of the different disease mechanisms and underlying…”
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4
Industry 4.0 in Healthcare: A systematic review
Published in International journal of information management data insights (01-04-2022)“…Healthcare 4.0 has changed dramatically over the last century. It is evolving daily, with physicians and researchers alike developing new tools and strategies…”
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5
Effect of Data Scaling Methods on Machine Learning Algorithms and Model Performance
Published in Technologies (Basel) (01-09-2021)“…Heart disease, one of the main reasons behind the high mortality rate around the world, requires a sophisticated and expensive diagnosis process. In the recent…”
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Deep MLP-CNN Model Using Mixed-Data to Distinguish between COVID-19 and Non-COVID-19 Patients
Published in Symmetry (Basel) (01-09-2020)“…The limitations and high false-negative rates (30%) of COVID-19 test kits have been a prominent challenge during the 2020 coronavirus pandemic. Manufacturing…”
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Detection of COVID-19 Patients from CT Scan and Chest X-ray Data Using Modified MobileNetV2 and LIME
Published in Healthcare (Basel) (25-08-2021)“…The COVID-19 global pandemic caused by the widespread transmission of the novel coronavirus (SARS-CoV-2) has become one of modern history’s most challenging…”
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COVID-19 Symptoms Detection Based on NasNetMobile with Explainable AI Using Various Imaging Modalities
Published in Machine learning and knowledge extraction (01-12-2020)“…The outbreak of COVID-19 has caused more than 200,000 deaths so far in the USA alone, which instigates the necessity of initial screening to control the spread…”
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Detecting SARS-CoV-2 From Chest X-Ray Using Artificial Intelligence
Published in IEEE access (01-01-2021)“…Chest radiographs (X-rays) combined with Deep Convolutional Neural Network (CNN) methods have been demonstrated to detect and diagnose the onset of COVID-19,…”
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10
A Comparative Analysis on Suicidal Ideation Detection Using NLP, Machine, and Deep Learning
Published in Technologies (Basel) (01-04-2022)“…Social networks are essential resources to obtain information about people’s opinions and feelings towards various issues as they share their views with their…”
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11
A Review on Comparative Remarks, Performance Evaluation and Improvement Strategies of Quadrotor Controllers
Published in Technologies (Basel) (01-06-2021)“…The quadrotor is an ideal platform for testing control strategies because of its non-linearity and under-actuated configuration, allowing researchers to…”
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12
Empirical Study of Autism Spectrum Disorder Diagnosis Using Facial Images by Improved Transfer Learning Approach
Published in Bioengineering (Basel) (01-11-2022)“…Autism spectrum disorder (ASD) is a neurological illness characterized by deficits in cognition, physical activities, and social skills. There is no specific…”
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13
Evaluating the Performance of Eigenface, Fisherface, and Local Binary Pattern Histogram-Based Facial Recognition Methods under Various Weather Conditions
Published in Technologies (Basel) (01-06-2021)“…Facial recognition (FR) in unconstrained weather is still challenging and surprisingly ignored by many researchers and practitioners over the past few decades…”
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14
Applications and Evaluations of Bio-Inspired Approaches in Cloud Security: A Review
Published in IEEE access (2020)“…Cloud computing gained much popularity in the recent past due to its many internet-based services related to data, application, operating system, and…”
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15
Enhancing Monkeypox diagnosis and explanation through modified transfer learning, vision transformers, and federated learning
Published in Informatics in medicine unlocked (2024)“…The Monkeypox outbreak has emerged as a pressing global health challenge, evidenced by rising cases across nations. Individuals afflicted exhibit diverse…”
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16
A Modified Iterative Algorithm for Numerical Investigation of HIV Infection Dynamics
Published in Algorithms (01-05-2022)“…The human immunodeficiency virus (HIV) mainly attacks CD4+ T cells in the host. Chronic HIV infection gradually depletes the CD4+ T cell pool, compromising the…”
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17
Face Recognition in an Unconstrained and Real-Time Environment Using Novel BMC-LBPH Methods Incorporates with DJI Vision Sensor
Published in Journal of sensor and actuator networks (01-12-2020)“…Face recognition (FR) in an unconstrained environment, such as low light, illumination variations, and bad weather is very challenging and still needs…”
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Cardiovascular disease identification using a hybrid CNN-LSTM model with explainable AI
Published in Informatics in medicine unlocked (2023)“…Cardiovascular disease (CVD) is a leading cause of death worldwide, with millions dying each year. The identification and early diagnosis of CVD are critical…”
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Enhancing Atrial Fibrillation detection accuracy: A wavelet transform filtered single lead ECG signal analysis with artificial neural networks and novel feature extraction
Published in Machine learning with applications (15-06-2023)“…Atrial Fibrillation (AF) is a common cardiac arrhythmia that can lead to fatal outcomes. Detecting AF early is crucial for improving patient outcomes and…”
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Efficient Deep Learning-Based Data-Centric Approach for Autism Spectrum Disorder Diagnosis from Facial Images Using Explainable AI
Published in Technologies (Basel) (01-08-2023)“…The research describes an effective deep learning-based, data-centric approach for diagnosing autism spectrum disorder from facial images. To classify ASD and…”
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