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Results for “"M. M. Mahbubul Syeed"”

16+ results

Surface water quality profiling using the water quality index, pollution index and statistical methods: A critical review

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M. M. Mahbubul Syeed, Md Shakhawat Hossain, Md. Rajaul Karim, Mohammad Faisal Uddin et al.

Journal: Environmental and Sustainability IndicatorsYear: 2023Citations: 161

Surface water is heavily exposed to contamination as this is the ubiquitous source for most of the water needs. This situation is exaggerated by the excessive population, heavy industrialization, rapid urbanization, and improper sanitation. Comprehensive measurement and knowledge extraction of surfa...

Physical SciencesEnvironmental ScienceWater Science and TechnologyOpen Access
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Adoption of Unmanned Aerial Vehicle (UAV) imagery in agricultural management: A systematic literature review

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Md. Abrar Istiak, M. M. Mahbubul Syeed, Md Shakhawat Hossain, Mohammad Faisal Uddin et al.

Journal: Ecological InformaticsYear: 2023Citations: 131
Life SciencesAgricultural and Biological SciencesPlant Science
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Outcome Based Education (OBE): Defining the Process and Practice for Engineering Education

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M. M. Mahbubul Syeed, ASM Shihavuddin, Mohammad Faisal Uddin, Mahady Hasan et al.

Journal: IEEE AccessYear: 2022Citations: 87

Outcome Based Education aka OBE is one of the de-facto standards for modern educational system. An outcome is a culminating demonstration of learning that the students should be able to do at the end of a course, and in process at end of the degree program. Therefore, OBE is an approach to education...

Physical SciencesEngineeringMedia TechnologyOpen Access
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Region of interest (ROI) selection using vision transformer for automatic analysis using whole slide images

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Md Shakhawat Hossain, Galib Muhammad Shahriar, M. M. Mahbubul Syeed, Mohammad Faisal Uddin et al.

Journal: Scientific ReportsYear: 2023Citations: 65

Selecting regions of interest (ROI) is a common step in medical image analysis across all imaging modalities. An ROI is a subset of an image appropriate for the intended analysis and identified manually by experts. In modern pathology, the analysis involves processing multidimensional and high resol...

Physical SciencesComputer ScienceArtificial IntelligenceOpen Access
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DeepPoly: Deep Learning-Based Polyps Segmentation and Classification for Autonomous Colonoscopy Examination

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Md Shakhawat Hossain, Md Mahmudur Rahman, M. M. Mahbubul Syeed, Mohammad Faisal Uddin et al.

Journal: IEEE AccessYear: 2023Citations: 44

Colorectal cancer (CRC) is the third most common cause of cancer-related deaths in the United States and is anticipated to cause another 52,580 deaths in 2023. The standard medical procedure for screening and treating colorectal disease is a colonoscopy. By effectively examining the colonoscopy to i...

Health SciencesMedicineOncologyOpen Access
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The Perception of Health Professionals in Bangladesh toward the Digitalization of the Health Sector

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Md Shakhawat Hossain, M. M. Mahbubul Syeed, Kaniz Fatema, Mohammad Faisal Uddin

Journal: International Journal of Environmental Research and Public HealthYear: 2022Citations: 28

Bangladesh is undertaking a major transformation towards digitalization in every sector, and healthcare is no exception. Digitalization of the health sector is expected to improve healthcare services while reducing human effort and ensuring the satisfaction of patients and health professionals. Howe...

Health SciencesMedicineHealth InformaticsOpen Access
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Tissue Artifact Segmentation and Severity Assessment for Automatic Analysis Using WSI

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Md Shakhawat Hossain, Galib Muhammad Shahriar, M. M. Mahbubul Syeed, Mohammad Faisal Uddin et al.

Journal: IEEE AccessYear: 2023Citations: 27

Traditionally, pathological analysis and diagnosis are performed by manually eyeballing glass-slide specimen under a microscope by an expert. Whole slide image (WSI) is the digital specimen produced from the glass-slide. WSI enabled specimen to be observed on a computer-screen and led to computation...

Physical SciencesComputer ScienceArtificial IntelligenceOpen Access
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Lightweight and Parameter-Optimized Real-Time Food Calorie Estimation from Images Using CNN-Based Approach

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Rakib Ul Haque, Razib Hayat Khan, ASM Shihavuddin, M. M. Mahbubul Syeed et al.

Journal: Applied SciencesYear: 2022Citations: 26

Automated object identification has seen significant progress during the last decade with close to human-level accuracy, aided by deep learning methods. With the rapid rise of obesity and other lifestyle-related diseases worldwide, the availability of fast, automated, and reliable image-based food c...

Physical SciencesEngineeringBiomedical EngineeringOpen Access
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Improving Traffic Density Forecasting in Intelligent Transportation Systems Using Gated Graph Neural Networks

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Razib Hayat Khan, Jonayet Miah, S. M. Yasir Arafat, M. M. Mahbubul Syeed et al.

Year: 2023Citations: 25

This study delves into the application of Graph Neural Networks (GNNs) in the realm of traffic forecasting, a crucial facet of intelligent transportation systems. Accurate traffic predictions are vital for functions like trip planning, traffic control, and vehicle routing in such systems. Three prom...

Physical SciencesEngineeringBuilding and Construction
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Aedes Larva Detection Using Ensemble Learning to Prevent Dengue Endemic

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Md Shakhawat Hossain, Md Ezaz Raihan, Md. Sakir Hossain, M. M. Mahbubul Syeed et al.

Journal: BioMedInformaticsYear: 2022Citations: 21

Dengue endemicity has become regular in recent times across the world. The numbers of cases and deaths have been alarmingly increasing over the years. In addition to this, there are no direct medications or vaccines to treat this viral infection. Thus, monitoring and controlling the carriers of this...

Health SciencesMedicinePublic Health, Environmental and Occupational HealthOpen Access
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A Comprehensive Dataset of Surface Water Quality Spanning 1940-2023 for Empirical and ML Adopted Research

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Md. Rajaul Karim, M. M. Mahbubul Syeed, Ashifur Rahman, Khondkar Ayaz Rabbani et al.

Journal: Scientific DataYear: 2025Citations: 17

Assessment and monitoring of surface water quality are essential for food security, public health, and ecosystem protection. Although water quality monitoring is a known phenomenon, little effort has been made to offer a comprehensive and harmonized dataset for surface water at the global scale. Thi...

Physical SciencesEnvironmental ScienceWater Science and TechnologyOpen Access
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SmartPoultry: Early Detection of Poultry Disease from Smartphone Captured Fecal Image

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Md Shakhawat Hossain, Umme Sadia Salsabil, M. M. Mahbubul Syeed, Md Mahmudur Rahman et al.

Year: 2023Citations: 14

The outbreak of chicken disease has been a major concern around the world, as the poultry industry supplies a significant portion of t he global protein needs. Such an outbreak can cause enormous financial loss to the poultry farmers and induce food insecurity. The COVID-19 lessons have taught us th...

Life SciencesImmunology and MicrobiologyMicrobiology
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CaViT: Early Stage Dental Caries Detection from Smartphone-image Using Vision Transformer

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Md Shakhawat Hossain, Md Mahmudur Rahman, M. M. Mahbubul Syeed, Ummae Hamida Hannan et al.

Year: 2023Citations: 14

Caries detection is a routine clinical task in dental practice. If caries are detected at an early stage, non-invasive or micro-invasive treatment such as fillings and a root canal can be effective and thereby invasive treatment and therapies such as gum surgery and dental implants can be avoided. I...

Health SciencesDentistryGeneral Dentistry
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A Smart and Integrated Surface Water Monitor System Architecture

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Md. Asiful Islam, Razib Hayat Khan, M. M. Mahbubul Syeed

Year: 2020Citations: 14

Surface water constitutes water on the surface of continents, e.g., river, lake, ponds, or wetland. Measuring and monitoring surface water quality is one of the key concerns of the Government of Bangladesh. This is due to the fact that a large segment of the population, and the industrial buildup in...

Physical SciencesEnvironmental ScienceWater Science and Technology
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Singular Nuclei Segmentation for Automatic HER2 Quantification Using CISH Whole Slide Images

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Md Shakhawat Hossain, M. M. Mahbubul Syeed, Kaniz Fatema, Md Sakir Hossain et al.

Journal: SensorsYear: 2022Citations: 13

Human epidermal growth factor receptor 2 (HER2) quantification is performed routinely for all breast cancer patients to determine their suitability for HER2-targeted therapy. Fluorescence in situ hybridization (FISH) and chromogenic in situ hybridization (CISH) are the US Food and Drug Administratio...

Health SciencesMedicineOncologyOpen Access
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