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Results for “"Md Golam Morshed"”

16+ results

Human Action Recognition: A Taxonomy-Based Survey, Updates, and Opportunities

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Md Golam Morshed, Tangina Sultana, Aftab Alam, Young-Koo Lee

Journal: SensorsYear: 2023Citations: 139

Human action recognition systems use data collected from a wide range of sensors to accurately identify and interpret human actions. One of the most challenging issues for computer vision is the automatic and precise identification of human activities. A significant increase in feature learning-base...

Physical SciencesComputer ScienceComputer Vision and Pattern RecognitionOpen Access
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Understanding the impact of COVID-19 on the informal sector workers in Bangladesh

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Nahrin Rahman Swarna, Iffat Anjum, Nimmi Nusrat Hamid, Golam Ahmed Rabbi et al.

Journal: PLoS ONEYear: 2022Citations: 40

The COVID-19 pandemic put dents on every sector of the affected countries, and the informal sector was no exception. This study is based on the quantitative analyses of the primary data of 1,867 informal workers of Bangladesh to shed light on the impact of the pandemic-induced economic crisis on thi...

Social SciencesEconomics, Econometrics and FinanceEconomics and EconometricsOpen Access
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Autism Barta — A smart device based automated autism screening tool for Bangladesh

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Sharmistha Bardhan, G. M. Monjur Morshed Mridha, Eshtiak Ahmed, Md. Anwar Ullah et al.

Year: 2016Citations: 27

Autism is a neurodevelopmental disorder which is not fully curable. However, early intervention can improve the condition of the children which requires early detection of autism. For this purpose, screening tools have been immensely used in developed countries. Whereas in developing countries, peop...

Life SciencesNeuroscienceCognitive Neuroscience
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LeL-GNN: Learnable Edge Sampling and Line Based Graph Neural Network for Link Prediction

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Md Golam Morshed, Tangina Sultana, Young-Koo Lee

Journal: IEEE AccessYear: 2023Citations: 21

Graph neural networks lose a lot of their computing power when more network layers are added. As a result, the majority of existing graph neural networks have a shallow depth of learning. Over-smoothing and information loss are two of the key issues that restrict graph neural networks from going dee...

Physical SciencesComputer ScienceArtificial IntelligenceOpen Access
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A new approach of Boosting using decision tree classifier for classifying noisy data

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Dewan Md. Farid, Golam Morshed Maruf, Chowdhury Mofizur Rahman

Year: 2013Citations: 14

In the last decade, a good number of supervised learning algorithms have been introduced by the intelligent computational researchers in machine learning and data mining. Recently research in classification problems to reduce misclassification rate focuses on aggregation methods like Boosting, which...

Physical SciencesComputer ScienceArtificial Intelligence
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The state of climate change adaptation research in Bangladesh: a systematic literature review

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Golam Morshed, Cecilia Tortajada, Md Sarwar Hossain

Journal: Mitigation and Adaptation Strategies for Global ChangeYear: 2025Citations: 12

Abstract Climate change is severely affecting livelihoods, especially in developing countries, where adaptation strategies are becoming crucial. While the body of empirical research on adaptation is steadily growing, the status of such research in Bangladesh has received little attention. This paper...

Life SciencesAgricultural and Biological SciencesEcology, Evolution, Behavior and SystematicsOpen Access
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Computer aided prediction and identification of potential epitopes in the receptor binding domain (RBD) of spike (S) glycoprotein of MERS-CoV

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Mohammad Tuhin Ali, Mohammed Monzur Morshed, Md. Abu Musa, Md. Abu Shale Musa et al.

Journal: BioinformationYear: 2014Citations: 12

Middle East Respiratory Syndrome Coronavirus (MERS-CoV) belongs to the coronaviridae family. In spite of several outbreaks in the very recent years, no vaccine against this deadly virus is developed yet. In this study, the receptor binding domain (RBD) of Spike (S) glycoprotein of MERS-CoV was analy...

Life SciencesBiochemistry, Genetics and Molecular BiologyMolecular BiologyOpen Access
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Genomic and In Vitro Analysis of Pediococcus pentosaceus MBBL4 Implicated Its Therapeutic Use Against Mastitis Pathogens and as a Potential Probiotic

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Md. Morshedur Rahman, Naim Siddique, Michael Gilman, Soharth Hasnat et al.

Journal: Probiotics and Antimicrobial ProteinsYear: 2025Citations: 11

Pediococcus pentosaceus has the potential to be used as probiotics and biologics amid rising trends of global antimicrobial resistance (AMR) and non-communicable diseases. This study analyzed the genome of P. pentosaceus MBBL4, isolated from healthy cow milk, to assess its probiotic properties and a...

Life SciencesAgricultural and Biological SciencesFood Science
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Recycling of Plastic Polymer: Reinforcement of Building Material Using Polymer Plastics of Used COVID-19 Syringes

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Golam Fahim, Md. Tofazzal Hossain, Stapheny Penheiro, Md. Iffat Bin Zakir et al.

Journal: BuildingsYear: 2023Citations: 10

Plastic waste causes severe environmental impacts worldwide and threatens the lives of all creatures. In the medical field, most of the equipment, especially personal protective equipment (PPE), is made from single-use plastic. During COVID-19, the usage of PPE has increased, and is disposed of in l...

Physical SciencesEngineeringCivil and Structural EngineeringOpen Access
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People’s Perceptions about the Socio-Economic and Environmental Impact of Coastal Green Belt in Bangladesh

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Tanmoy Dey, Md. Golam Morshed Rajib, Md. Akramul Islam

Journal: Indonesian Journal of Social and Environmental Issues (IJSEI)Year: 2021Citations: 10

Understanding the perceptions and attitudes of local people towards afforestation is crucial for successful afforestation. To better understand the people's perceptions about the coastal green belt, we surveyed the Satkhira and Bhola districts during January 2021. A questionnaire survey of 200 respo...

Physical SciencesEnvironmental ScienceGlobal and Planetary ChangeOpen Access
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Optimization of Bacillus subtilis-based fermentation of anaerobic digestate and biohazard-free application in endophyte-assisted hardening of micropropagated plantlets for increasing survivability

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Md Abuhena, Jubair Al-Rashid, Md. Faisal Azim, Nirmal Chandra Barman et al.

Journal: Biocatalysis and Agricultural BiotechnologyYear: 2022Citations: 8
Physical SciencesEngineeringBuilding and Construction
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Genomic characterisation of Pseudomonas asiatica as an emerging mastitis pathogen in dairy cows with resistance and virulence implications

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Taniya Sultana, Md. Morshedur Rahman, Monira Rahaman, Kh. Yeashir Arafat et al.

Journal: Journal of Global Antimicrobial ResistanceYear: 2025Citations: 7

OBJECTIVE: Mastitis, a major concern in the dairy industry, is often caused by multidrug-resistant (MDR) pathogens, making treatment more challenging. This study aimed to elucidate the prevalence, antimicrobial resistance (AMR), antibiotic resistance genes (ARGs) and virulence genes (VGs) profiles o...

Life SciencesAgricultural and Biological SciencesAgronomy and Crop ScienceOpen Access
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Spatio-Temporal Feature Engineering and Selection-Based Flight Arrival Delay Prediction Using Deep Feedforward Regression Network

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Md. Emran Biswas, Tangina Sultana, Ashis Kumar Mandal, Md Golam Morshed et al.

Journal: ElectronicsYear: 2024Citations: 7

Flight delays continue to pose a substantial concern in the aviation sector, impacting both operational efficiency and passenger satisfaction. Existing systems, while attempting to predict delays, often lack accurate predictive capabilities due to poor modeling setups, insufficient feature engineeri...

Physical SciencesEngineeringAerospace EngineeringOpen Access
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LSTM-ANN Based Price Hike Sentiment Analysis from Bangla Social Media Comments

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Sovon Chakraborty, Muhammad Borahn Uddin Talukdar, Muhammed Yaseen Morshed Adib, Sowmen Mitra et al.

Year: 2022Citations: 7

Price hike has always been a substantial concern for people all over the world. The crisis gets more conspicuous, and people find themselves more confounded when even the bare minimum of expenses still exceeds the amount they can get to earn. This tension tends to invite chaos in society as the numb...

Physical SciencesComputer ScienceArtificial Intelligence
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An Empirical Study on Diabetes Mellitus Prediction for Typical and Non-Typical Cases using Machine Learning Approaches

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Md Tanvir Islam, M. Raihan, Fahmida Dil Farzana, Md. Golam Morshed Raju et al.

Year: 2019Citations: 7

Diabetes is a non-communicable disease and increasing at an alarming rate all over the world. Having a high sugar level in blood or lack of insulin are the primary reasons. So, it is important to find an effective way to predict diabetes before it turns into a major problem for human health. It is p...

Health SciencesHealth ProfessionsHealth Information Management
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