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Results for “"Khondaker A. Mamun"”

16+ results

Progress in Brain Computer Interface: Challenges and Opportunities

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Simanto Saha, Khondaker A. Mamun, Khawza Ahmed, Raqibul Mostafa et al.

Journal: Frontiers in Systems NeuroscienceYear: 2021Citations: 353

Brain computer interfaces (BCI) provide a direct communication link between the brain and a computer or other external devices. They offer an extended degree of freedom either by strengthening or by substituting human peripheral working capacity and have potential applications in various fields such...

Life SciencesNeuroscienceCognitive NeuroscienceOpen Access
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Technological advancements and opportunities in Neuromarketing: a systematic review

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Ferdousi Sabera Rawnaque, Khandoker Mahmudur Rahman, Syed Ferhat Anwar, Ravi Vaidyanathan et al.

Journal: Brain InformaticsYear: 2020Citations: 152

Neuromarketing has become an academic and commercial area of interest, as the advancements in neural recording techniques and interpreting algorithms have made it an effective tool for recognizing the unspoken response of consumers to the marketing stimuli. This article presents the very first syste...

Life SciencesNeuroscienceSensory SystemsOpen Access
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Exploration of EEG-Based Depression Biomarkers Identification Techniques and Their Applications: A Systematic Review

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Antora Dev, N. Roy, Md. Kafiul Islam, Chiranjeeb Biswas et al.

Journal: IEEE AccessYear: 2022Citations: 99

Depression is the most common mental illness, which has become the major cause of fear and suicidal mortality or tendencies. Currently, about 10% of the world population has been suffering from depression. The classical approach for detecting depression relies on the clinical questionnaire, which de...

Life SciencesNeuroscienceCognitive NeuroscienceOpen Access
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Telemonitoring Parkinson’s disease using machine learning by combining tremor and voice analysis

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Md Sajal, Md. Tanvir Ehsan, Ravi Vaidyanathan, Shouyan Wang et al.

Journal: Brain InformaticsYear: 2020Citations: 93

BACKGROUND: With the growing number of the aged population, the number of Parkinson's disease (PD) affected people is also mounting. Unfortunately, due to insufficient resources and awareness in underdeveloped countries, proper and timely PD detection is highly challenged. Besides, all PD patients' ...

Health SciencesMedicinePhysiologyOpen Access
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Climate Change Mitigation Pathways for the Aviation Sector

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Md Arif Hasan, Abdullah Al Mamun, Syed Masiur Rahman, Karim Malik et al.

Journal: SustainabilityYear: 2021Citations: 81

Even though the contribution of the aviation sector to the global economy is very notable, it also has an adverse impact on climate change. Improvements have been made in different areas (i.e., technology, sustainable aviation fuel, and design) to mitigate these adverse effects. However, the rate of...

Physical SciencesEnvironmental ScienceGlobal and Planetary ChangeOpen Access
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Cloud based framework for Parkinson’s disease diagnosis and monitoring system for remote healthcare applications

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Khondaker A. Mamun, Musaed Alhussein, Kashfia Sailunaz, Md. Sadequl Islam

Journal: Future Generation Computer SystemsYear: 2015Citations: 77
Health SciencesMedicinePhysiology
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A Critical Review on World University Ranking in Terms of Top Four Ranking Systems

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Farzana Anowar, Mustakim A. Helal, Saida Afroj, S. Tasneem Sultana et al.

Journal: Lecture notes in electrical engineeringYear: 2014Citations: 66
Social SciencesPolitical Science and International RelationsHigher Education Governance and Development
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Evaluation of diagnostic performance of rK28 ELISA using urine for diagnosis of visceral leishmaniasis

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Prakash Ghosh, Khondaker Rifat Hasan Bhaskar, Faria Hossain, Md Anik Ashfaq Khan et al.

Journal: Parasites & VectorsYear: 2016Citations: 50

BACKGROUND: Recombinant fusion proteins are now commonly used to detect circulating antibodies for the serodiagnosis of visceral leishmaniasis (VL) in Asia, Africa and the Americas. Although simple, these tests still require blood collection and their use in remote settings can be limited due to the...

Health SciencesMedicinePublic Health, Environmental and Occupational HealthOpen 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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CMED: Cloud based medical system framework for rural health monitoring in developing countries

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Kashfia Sailunaz, Musaed Alhussein, Md. Shahiduzzaman, Farzana Anowar et al.

Journal: Computers & Electrical EngineeringYear: 2016Citations: 43
Physical SciencesComputer ScienceComputer Networks and Communications
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An in-depth investigation of lead-free KGeCl<sub>3</sub> perovskite solar cells employing optoelectronic, thermomechanical, and photovoltaic properties: DFT and SCAPS-1D frameworks

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Md. Tarekuzzaman, Mohammad Hasin Ishraq, Md. Shahazan Parves, M. A. Rayhan et al.

Journal: Physical Chemistry Chemical PhysicsYear: 2024Citations: 40

(current-voltage density) and quantum efficiency (QE) characteristics.

Physical SciencesEngineeringElectrical and Electronic Engineering
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Therapeutic implications of granulocyte colony stimulating factor in patients with acute-on-chronic liver failure: increased survival and containment of liver damage

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APASL ACLF working party, Biplob Kumar Saha, Mamun Al Mahtab, Sheikh Mohammad Fazle Akbar et al.

Journal: Hepatology InternationalYear: 2017Citations: 38

Background and purpose Mobilization of bone marrow-derived stem cells by granulocyte colony stimulating factor (G-CSF) supports hepatic regeneration and may augment clinical improvement in patients with acute-on-chronic liver failure (ACLF). The aim of this study is to assess the impact of G-CSF on ...

Health SciencesMedicineHepatology
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Recommender System in Academic Choices of Higher Education: A Systematic Review

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Nabila Kamal, Farhana Sarker, Arifur Rahman, Sazzad Hossain et al.

Journal: IEEE AccessYear: 2024Citations: 37

Recommender systems have gained significant attention as powerful tools for supporting decision-making processes in various domains. However, the understanding of their impact and application in the field of academic choices in higher education remains limited. This systematic review aims to provide...

Physical SciencesComputer ScienceInformation SystemsOpen Access
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Movement decoding using neural synchronization and inter-hemispheric connectivity from deep brain local field potentials

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Khondaker A. Mamun, Michael Mace, M.E. Lutman, John Stein et al.

Journal: Journal of Neural EngineeringYear: 2015Citations: 35

OBJECTIVE: Correlating electrical activity within the human brain to movement is essential for developing and refining interventions (e.g. deep brain stimulation (DBS)) to treat central nervous system disorders. It also serves as a basis for next generation brain-machine interfaces (BMIs). This stud...

Health SciencesMedicineNeurologyOpen Access
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