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Results for “"Shams Nafisa Ali"”

16+ results

CardioXNet: A Novel Lightweight Deep Learning Framework for Cardiovascular Disease Classification Using Heart Sound Recordings

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Samiul Based Shuvo, Shams Nafisa Ali, Soham Irtiza Swapnil, Mabrook Al‐Rakhami et al.

Journal: IEEE AccessYear: 2021Citations: 201

The alarmingly high mortality rate and increasing global prevalence of cardiovascular diseases (CVDs) signify the crucial need for early detection schemes. Phonocardiogram (PCG) signals have been historically applied in this domain owing to its simplicity and cost-effectiveness. In this article, we ...

Health SciencesMedicinePulmonary and Respiratory MedicineOpen Access
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A web-based mpox skin lesion detection system using state-of-the-art deep learning models considering racial diversity

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Shams Nafisa Ali, Md. Tazuddin Ahmed, Tasnim Jahan, Joydip Paul et al.

Journal: Biomedical Signal Processing and ControlYear: 2024Citations: 81
Life SciencesImmunology and MicrobiologyVirology
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An End-to-End Deep Learning Framework for Real-Time Denoising of Heart Sounds for Cardiac Disease Detection in Unseen Noise

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Shams Nafisa Ali, Samiul Based Shuvo, Muhammad Ishtiaque Sayeed Al-Manzo, Anwarul Hasan et al.

Journal: IEEE AccessYear: 2023Citations: 54

Objective: The heart sound signals captured via a digital stethoscope are often distorted by environmental and physiological noise, altering their salient and critical properties. The problem is exacerbated in crowded low-resource hospital settings with high noise levels which degrades the diagnosti...

Health SciencesMedicinePulmonary and Respiratory MedicineOpen Access
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CovTANet: A Hybrid Tri-Level Attention-Based Network for Lesion Segmentation, Diagnosis, and Severity Prediction of COVID-19 Chest CT Scans

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Tanvir Mahmud, Md. Jahin Alam, Sakib Chowdhury, Shams Nafisa Ali et al.

Journal: IEEE Transactions on Industrial InformaticsYear: 2020Citations: 50

Rapid and precise diagnosis of COVID-19 is one of the major challenges faced by the global community to control the spread of this overgrowing pandemic. In this article, a hybrid neural network is proposed, named CovTANet, to provide an end-to-end clinical diagnostic tool for early diagnosis, lesion...

Health SciencesMedicineRadiology, Nuclear Medicine and ImagingOpen Access
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Benchmarking Deep Learning Frameworks for Automated Diagnosis of Ocular Toxoplasmosis: A Comprehensive Approach to Classification and Segmentation

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Syed Samiul Alam, Samiul Based Shuvo, Shams Nafisa Ali, Fardeen Ahmed et al.

Journal: IEEE AccessYear: 2024Citations: 18

Diagnosis of Ocular toxoplasmosis (OT) usually involves clinical examination and imaging, which can be expensive and require specialized personnel. The use of artificial intelligence (AI) to analyze fundus images for diagnosing ocular diseases is gaining traction. Despite that, there has not been mu...

Health SciencesMedicineOphthalmologyOpen Access
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Optimization of Acetic Acid Production Rate by Thermotolerant <i>Acetobacter</i> spp.

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Tahsina Islam, Farzana Diba, Roni Miah, Ayesha Siddiqa et al.

Journal: Advances in MicrobiologyYear: 2017Citations: 12

Thermotolerant microorganisms were collected, identified and characterized under different physiological conditions from various rotten fruits in Bangladesh for vinegar production. Among the 15-isolates characterized previously, the strains F-1, F-3 and F-10 represented Staphylococcus, Bacillus and ...

Life SciencesBiochemistry, Genetics and Molecular BiologyMolecular BiologyOpen Access
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Coding-Complete Genome Sequences and Mutation Profiles of Nine SARS-CoV-2 Strains Detected from COVID-19 Patients in Bangladesh

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Nihad Adnan, Mohib Ullah Khondoker, M. Shaminur Rahman, Firoz Ahmed et al.

Journal: Microbiology Resource AnnouncementsYear: 2021Citations: 9

Here, we report the coding-complete genome sequences of nine clinical severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants and their mutations. The samples were collected from nine Bangladeshi coronavirus disease 2019 (COVID-19) patients. We have identified the E484K escape mutation...

Health SciencesMedicineInfectious DiseasesOpen Access
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A Lightweight CNN Model for Detecting Respiratory Diseases From Lung Auscultation Sounds Using EMD-CWT-Based Hybrid Scalogram

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Samiul Based Shuvo, Shams Nafisa Ali, Soham Irtiza Swapnil, Taufiq Hasan et al.

Journal: IEEE Journal of Biomedical and Health InformaticsYear: 2020Citations: 9

Listening to lung sounds through auscultation is vital in examining the respiratory system for abnormalities. Automated analysis of lung auscultation sounds can be beneficial to the health systems in low-resource settings where there is a lack of skilled physicians. In this work, we propose a lightw...

Health SciencesMedicinePulmonary and Respiratory MedicineOpen Access
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A RNN Based Parallel Deep Learning Framework for Detecting Sentiment Polarity from Twitter Derived Textual Data

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Sakib Chowdhury, Md. Latifur Rahman, Shams Nafisa Ali, Md. Jahin Alam

Year: 2020Citations: 7

Social media platforms have become one of the primary mediums of communication nowadays. Along with communication, they are currently being utilized in a wide range of activities like digital marketing, customer care, e-learning etc. The unceasing use of social media is generating gigantic amount of...

Physical SciencesComputer ScienceArtificial Intelligence
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Demographic Characteristics of 1082 Positive Cases of COVID-19 Patients: Experience at National Referral Laboratory of Bangladesh

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Arifa Akram, Mahmuda Yeasmin, THM Enayet Ullah Khan, Mohammad Abdullah Az Zubayer Khan et al.

Journal: Bangladesh Journal of Infectious DiseasesYear: 2020Citations: 6

Background: COVID-19 has now become a pandemic.
 Objective: The aim of this study was to characterize the demographic features with infection rate of SARS-CoV-2 in 4/5 divisions of Bangladesh.
 Methodology: This cross-sectional study was conducted at National institute of Laboratory Medici...

Health SciencesMedicineInfectious DiseasesOpen Access
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An End-to-end Deep Learning Framework for Real-Time Denoising of Heart Sounds for Cardiac Disease Detection in Unseen Noise

Verified

Shams Nafisa Ali, Samiul Based Shuvo, Muhammad Ishtiaque Sayeed Al-Manzo, MD. Anwarul Hasan et al.

Year: 2022Citations: 5

<p>Objective: The heart sound signals captured via a digital stethoscope are often distorted by environmental and physiological noise, altering their salient and critical properties. The problem is exacerbated in crowded low-resource hospital settings with high noise levels which degrades the ...

Health SciencesMedicinePulmonary and Respiratory MedicineOpen Access
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Cellulose-based biocomposites

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Shams Nafisa Ali, M. Tarik Arafat

Journal: Elsevier eBooksYear: 2021Citations: 3

Cellulose is a versatile material with multiple derivatives and numerous composites. Owing to great biocompatibility, biodegradability, light weight, ample chemically modifying capacity, actuation capability, and eco-friendly nature of cellulose, nowadays natural resource-based renewable cellulosic ...

Physical SciencesMaterials ScienceBiomaterials
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Development of a Wearable 3-Risk Factor Accumulated Epileptic Seizure Detection System with IoT Based Warning Alarm

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Shams Nafisa Ali, Md. Jahin Alam

Year: 2020Citations: 3

In this work, a fully-functional prototype of a wristworn device has been developed for detecting convulsive epileptic seizure. A 3-risk factor based detection scheme employing accelerometer derived muscle spasm, PPG acquired heart rate variability and body temperature variation has been proposed by...

Life SciencesNeuroscienceCognitive Neuroscience
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SARS-CoV-2 Infection Reduces Human Nasopharyngeal Commensal Microbiome With Inclusion of Pathobionts

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M. Nazmul Hoque, Md. Murshed Hasan Sarkar, M. Shaminur Rahman, Shahina Akter et al.

Journal: SSRN Electronic JournalYear: 2021Citations: 2

Background: The SARS-CoV-2 primarily enters into the human body through nasopharyngeal tract (NT) and is the etiological agent of COVID-19. The microbiota of the nasopharyngeal tract may play a role in host immunity against respiratory infectious diseases. However, scant information is available on ...

Life SciencesBiochemistry, Genetics and Molecular BiologyMolecular BiologyOpen Access
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Evaluating the Impact of Cryoprobe Tip Structure for Effective Cryoablation of Breast Cancer

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Fiaz Ahmed, Shams Nafisa Ali, Tanzila Akter, Jahid Ferdous

Year: 2021Citations: 2

This study aims to analyze the impact of the structure of a cryoprobe tip on the transient thermal phenomenon that takes place during cryoablation of breast cancer. A 2D axisymmetric breast model with an embedded tumor has been constructed using COMSOL Multiphysics® interface. Three different tip st...

Health SciencesMedicineRadiology, Nuclear Medicine and Imaging
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