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Results for “"Fazla Rabbi Mashrur"”

16+ results

SCNN: Scalogram-based convolutional neural network to detect obstructive sleep apnea using single-lead electrocardiogram signals

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Fazla Rabbi Mashrur, Md. Saiful Islam, D Saha, S. M. Riazul Islam et al.

Journal: Computers in Biology and MedicineYear: 2021Citations: 117

Sleep apnea is a common symptomatic disease affecting nearly 1 billion people around the world. The gold standard approach for determining the severity of sleep apnea is full-night polysomnography conducted in the laboratory, which is very costly and cumbersome. In this work, we propose a novel scal...

Health SciencesMedicinePhysiologyOpen Access
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Silver Nanoparticles as Potential Antiviral Agents

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Zubair Ahmed Ratan, Fazla Rabbi Mashrur, Anisha Parsub Chhoan, Sadi Shahriar et al.

Journal: PharmaceuticsYear: 2021Citations: 112

Since the early 1990s, nanotechnology has led to new horizons in nanomedicine, which encompasses all spheres of science including chemistry, material science, biology, and biotechnology. Emerging viral infections are creating severe hazards to public health worldwide, recently, COVID-19 has caused m...

Physical SciencesMaterials ScienceMaterials ChemistryOpen Access
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An intelligent neuromarketing system for predicting consumers’ future choice from electroencephalography signals

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Fazla Rabbi Mashrur, Khandoker Mahmudur Rahman, Mohammad Tohidul Islam Miya, Ravi Vaidyanathan et al.

Journal: Physiology & BehaviorYear: 2022Citations: 44

Neuromarketing utilizes Brain-Computer Interface (BCI) technologies to provide insight into consumers responses on marketing stimuli. In order to achieve insight information, marketers spend about $400 billion annually on marketing, promotion, and advertisement using traditional marketing research t...

Life SciencesNeuroscienceCognitive Neuroscience
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BCI-Based Consumers' Choice Prediction From EEG Signals: An Intelligent Neuromarketing Framework

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Fazla Rabbi Mashrur, Khandoker Mahmudur Rahman, Mohammad Tohidul Islam Miya, Ravi Vaidyanathan et al.

Journal: Frontiers in Human NeuroscienceYear: 2022Citations: 43

750 billion annually on traditional marketing camping. They use traditional marketing research procedures such as Personal Depth Interviews, Surveys, Focused Group Discussions, and so on, which are frequently criticized for failing to extract true consumer preferences. On the other hand, Neuromarket...

Life SciencesNeuroscienceCognitive NeuroscienceOpen Access
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Automatic Identification of Arrhythmia from ECG Using AlexNet Convolutional Neural Network

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Fazla Rabbi Mashrur, Amit Dutta Roy, D Saha

Journal: 2019 4th International Conference on Electrical Information and Communication Technology (EICT)Year: 2019Citations: 39

Atrial fibrillation (AF) is one of the most widespread cardiovascular diseases and impacts the overall general population of the world. Most of the current techniques are based on hand-crafted features for automatic AF classification. The primary task of this work is to design a deep learning-based ...

Health SciencesMedicineCardiology and Cardiovascular Medicine
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Fibro-CoSANet: Pulmonary Fibrosis Prognosis Prediction using a Convolutional Self Attention Network

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Zabir Al Nazi, Fazla Rabbi Mashrur, Md Amirul Islam, Shumit Saha

Journal: arXiv (Cornell University)Year: 2021Citations: 26

Idiopathic pulmonary fibrosis (IPF) is a restrictive interstitial lung disease that causes lung function decline by lung tissue scarring. Although lung function decline is assessed by the forced vital capacity (FVC), determining the accurate progression of IPF remains a challenge. To address this ch...

Health SciencesMedicinePulmonary and Respiratory MedicineOpen Access
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Intelligent neuromarketing framework for consumers' preference prediction from electroencephalography signals and eye tracking

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Fazla Rabbi Mashrur, Khandoker Mahmudur Rahman, Mohammad Tohidul Islam Miya, Ravi Vaidyanathan et al.

Journal: Journal of Consumer BehaviourYear: 2023Citations: 22

Abstract Neuromarketing uses brain‐computer interface technology to understand customer preferences in response to marketing stimuli. Every year, marketing professionals spend over $750 Billion (US dollars) on traditional marketing, which is usually behavioral and subjective, focusing on self‐report...

Life SciencesNeuroscienceCognitive NeuroscienceOpen Access
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Ginseng, a promising choice for SARS-COV-2: A mini review

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Zubair Ahmed Ratan, Fazla Rabbi Mashrur, Nusrat Jahan Runa, Ki Woong Kwon et al.

Journal: Journal of Ginseng ResearchYear: 2022Citations: 20

The current Covid-19 pandemic has changed the entire world and bought so many unprecedented challenges to the scientific community. More than 5 million people died due to the SARS-COV-2 outbreak. For many thousands of years, ginseng, the traditional herb has been used for various infectious diseases...

Life SciencesBiochemistry, Genetics and Molecular BiologyMolecular BiologyOpen Access
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Impact of demographic, environmental, socioeconomic, and government intervention on the spreading of COVID-19

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Fazla Rabbi Mashrur, Amit Dutta Roy, Anisha Parsub Chhoan, Sumit Sarker et al.

Journal: Clinical Epidemiology and Global HealthYear: 2021Citations: 10

BackgroundThe coronavirus disease 2019 (COVID-19) pandemic is a worldwide epidemiological emergency, and the risk factors for the multiple waves with new COVID-19 strains are concerning. This study aims to identify the most significant risk factors for spreading COVID-19 to help policymakers take ea...

Physical SciencesMathematicsModeling and SimulationOpen Access
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MarketBrain: An EEG based intelligent consumer preference prediction system

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Fazla Rabbi Mashrur, Mohammad Tohidul Islam Miya, Ferdousi Sabera Rawnaque, Khandoker Mahmudur Rahman et al.

Journal: 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)Year: 2021Citations: 8

The traditional marketing research tools (Personal Depth Interview, Surveys, FGD, etc.) are cost-prohibitive and often criticized for not extracting true consumer preferences. Neuromarketing tools promise to overcome such limitations. In this study, we proposed a framework, MarketBrain, to predict c...

Social SciencesPsychologyExperimental and Cognitive Psychology
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AI-based Consumers' Preference Prediction Using a Research-grade BCI and a Commercial-grade BCI for Neuromarketing: A Systematic Comparison

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Farhan Ishtiaque, Fazla Rabbi Mashrur, Mohammad Tohidul Islam Miya, Khandoker Mahmudur Rahman et al.

Year: 2023Citations: 6

In Neuromarketing, BCI technology is used to analyze how a consumer behaves in response to a marketing stimulus, to evaluate the stimuli itself. Traditionally it can be achieved by different marketing research techniques such as questioner-based surveys, interviews, field surveys, etc. But since the...

Life SciencesNeuroscienceCognitive Neuroscience
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Fibro-CoSANet: pulmonary fibrosis prognosis prediction using a convolutional self attention network

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Zabir Al Nazi, Fazla Rabbi Mashrur, Amirul Islam, Shumit Saha

Journal: Physics in Medicine and BiologyYear: 2021Citations: 4

Idiopathic pulmonary fibrosis (IPF) is a restrictive interstitial lung disease that causes lung function decline by lung tissue scarring. Although lung function decline is assessed by the forced vital capacity (FVC), determining the accurate progression of IPF remains a challenge. To address this ch...

Health SciencesMedicinePulmonary and Respiratory MedicineOpen Access
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Machine learning-based viewers’ preference prediction on social awareness advertisements using EEG

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Farhan Ishtiaque, Mohammad Tohidul Islam Miya, Fazla Rabbi Mashrur, Khandoker Mahmudur Rahman et al.

Journal: Frontiers in Human NeuroscienceYear: 2025Citations: 3

Introduction: One of the most promising applications of neuromarketing is to predict true consumer preference for advertisements to quantify their efficacy. Researchers have already established such neuromarketing systems for static advertisements and e-commerce products. However, more research is r...

Social SciencesPsychologyExperimental and Cognitive PsychologyOpen Access
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An Overview of Neuromarketing Research in Developing Countries: Prospects and Challenges

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Ananna Biswas, Fazla Rabbi Mashrur, Khandoker Mahmudur Rahman, Mohammad Tohidul Islam Miya et al.

Year: 2022Citations: 3

Neuromarketing has opened a new door in marketing research understanding behavioral economics with the help of Neuroscience. Over the past decade, Neuroscientists, Psychiatrists, Engineers, and Market-researchers have conducted several groundbreaking studies aiming to understand consumers’ motivatio...

Social SciencesBusiness, Management and AccountingMarketing
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An EEG-based Intelligent Neuromarketing System for Predicting Consumers’ Choice

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Fazla Rabbi Mashrur, Khandoker Mahmudur Rahman, Mohammad Tohidul Islam Miya, Ravi Vaidyanathan et al.

Journal: Lecture notes in electrical engineeringYear: 2023Citations: 2
Life SciencesNeuroscienceCognitive Neuroscience
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