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Results for “"Mahmuda Naznin"”

16+ results

Microbiology of Chronic Suppurative Otitis Media: An update from a Tertiary Care Hospital in Bangladesh

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Mst. Romena Khatun, Kh. Md. Faisal Alam, Mahmuda Naznin, Md. Abdus Salam

Journal: Pakistan Journal of Medical SciencesYear: 2021Citations: 27

Objectives: Chronic suppurative otitis media is a major cause of acquired hearing impairment, especially in children of developing countries. The study sought to explore the bacteriological profile and their antimicrobial susceptibility among patients of chronic suppurative otitis media from a terti...

Health SciencesMedicineOtorhinolaryngologyOpen Access
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Stable Sensor Network (SSN): A Dynamic Clustering Technique for Maximizing Stability in Wireless Sensor Networks

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A. B. M. Alim Al Islam, Chowdhury Sayeed Hyder, Humayun Kabir, Mahmuda Naznin

Journal: Wireless Sensor NetworkYear: 2010Citations: 25

Stability is one of the major concerns in advancement of Wireless Sensor Networks (WSN). A number of applications of WSN require guaranteed sensing, coverage and connectivity throughout its operational period. Death of the first node might cause instability in the network. Therefore, all of the sens...

Physical SciencesComputer ScienceComputer Networks and CommunicationsOpen Access
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Recent trends and techniques of blood glucose level prediction for diabetes control

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B. Ahmed, Mohammed Eunus Ali, Mohammad Mehedy Masud, Mahmuda Naznin

Journal: Smart HealthYear: 2024Citations: 24
Health SciencesMedicineEndocrinology, Diabetes and Metabolism
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Finding the Optimal Percentage of Cluster Heads from a New and Complete Mathematical Model on LEACH

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A. B. M. Alim Al Islam, Chowdhury Sayeed Hyder, Humayun Kabir, Mahmuda Naznin

Journal: Wireless Sensor NetworkYear: 2010Citations: 23

Network lifetime is one of the important metrics that indicate the performance of a sensor network. Different techniques are used to elongate network lifetime. Among them, clustering is one of the popular techniques. LEACH (Low-Energy Adaptive Clustering Hierarchy) is one of the most widely cited cl...

Physical SciencesComputer ScienceComputer Networks and CommunicationsOpen Access
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A Study on Food Value Estimation From Images: Taxonomies, Datasets, and Techniques

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Jamalia Sultana, B. Ahmed, Mohammad Mehedy Masud, A. K. Obidul Huq et al.

Journal: IEEE AccessYear: 2023Citations: 20

Monitoring nutritional values in food can help an individual in planning a healthy diet. In addition, regular dietary assessment can improve and maintain the physical and mental health of individuals. Recent advancement in computer vision using Deep Learning has enabled researchers to develop variou...

Health SciencesMedicinePublic Health, Environmental and Occupational HealthOpen Access
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Novel Approaches for VNF Requirement Prediction Using DNN and LSTM

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Zakia Zaman, Sabidur Rahman, Mahmuda Naznin

Year: 2019Citations: 19

Network Function Virtualization (NFV) is gaining popularity among network operators to provide cost effective and dynamic network services. NFV enables faster service by deploying virtual instances of network functions. While serving dynamic and varying traffic demands, network operators can get ben...

Physical SciencesComputer ScienceComputer Networks and Communications
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Health awareness, lifestyle and dietary behavior of university students in the northeast part of Bangladesh

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Mahmuda Mohammad, Muhammad Abdul Baker Chowdhury, Md. Nazrul Islam, Arifa Ahmed et al.

Journal: International Journal of Adolescent Medicine and HealthYear: 2018Citations: 15

INTRODUCTION: University students generally face a variety of challenges. During this period of life, they practice some unhealthy eating patterns and lifestyles. Therefore, we aimed to assess the health awareness status of university students from the northeast part of Bangladesh and to evaluate it...

Health SciencesHealth ProfessionsGeneral Health Professions
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Energy-Efficient Multiple Targets Tracking Using Target Kinematics in Wireless Sensor Networks

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Akond Rahman, Mahmuda Naznin, Md. Atiqul Islam Mollah

Year: 2010Citations: 13

Target tracking is one of the cardinal applications of a wireless sensor network. Tracking multiple targets is more challenging than tracking a single target in a wireless sensor network due to targets' movement in different directions, targets' speed variations and frequent connectivity failures of...

Physical SciencesComputer ScienceComputer Networks and Communications
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Machine learning based finite element analysis (FEA) surrogate for hip fracture risk assessment and visualization

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Rabina Awal, Mahmuda Naznin, Tanvir R. Faisal

Journal: Expert Systems with ApplicationsYear: 2024Citations: 10
Health SciencesMedicineSurgery
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Shortening the Tour-Length of a Mobile Data Collector in the WSN by the Method of Linear Shortcut

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Md. Shaifur Rahman, Mahmuda Naznin

Journal: Lecture notes in computer scienceYear: 2013Citations: 8
Physical SciencesComputer ScienceComputer Networks and Communications
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ZDG: Energy efficient zone based data gathering in a wireless sensor network

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Mahmuda Naznin, Abu Sayed Chowdhury

Year: 2015Citations: 7

In a WSN, it is desirable to keep many sensors active to collect data as much as possible which causes network failure, on the other hand, if most of the sensors are asleep, enough data can not be collected. Therefore, the trade-off between data collection and energy saving has made data gathering a...

Physical SciencesComputer ScienceComputer Networks and Communications
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Orthogonal Drawings of Plane Graphs without Bends

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Md. Saidur Rahman, Mahmuda Naznin, Takao Nishizeki

Journal: Lecture notes in computer scienceYear: 2002Citations: 7
Physical SciencesComputer ScienceComputer Graphics and Computer-Aided Design
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SSDL—an automated semi-supervised deep learning approach for patient-specific 3D reconstruction of proximal femur from QCT images

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Jamalia Sultana, Mahmuda Naznin, Tanvir R. Faisal

Journal: Medical & Biological Engineering & ComputingYear: 2024Citations: 6

Deep Learning (DL) techniques have recently been used in medical image segmentation and the reconstruction of 3D anatomies of a human body. In this work, we propose a semi-supervised DL (SSDL) approach utilizing a CNN-based 3D U-Net model for femur segmentation from sparsely annotated quantitative c...

Health SciencesMedicineSurgery
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After-meal blood glucose level prediction for type-2 diabetic patients

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B. Ahmed, Mohammed Eunus Ali, Mohammad Mehedy Masud, Mohammad Raihan Azad et al.

Journal: HeliyonYear: 2024Citations: 6

Type 2 Diabetes, a metabolic disorder disease, is becoming a fast growing health crisis worldwide. It reduces the quality of life, and increases mortality and health care costs unless managed well. After-meal blood glucose level measure is considered as one of the most fundamental and well-recognize...

Health SciencesMedicineEndocrinology, Diabetes and MetabolismOpen Access
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Automation of Photonic Networks Using Machine Learning: Case Studies and Future Works

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Sabidur Rahman, Nilton F. S. Seixas, Mahmuda Naznin, Gustavo B. Figueiredo

Journal: IEEE Photonics Technology LettersYear: 2021Citations: 6

Although a “Self-Driving” photonic network is still a long way to go, many time-consuming complex tasks and decision making in photonic networks can be automated using machine learning, and other data-driven solutions. This study explores recent contributions towards photonic network automation, suc...

Physical SciencesEngineeringElectrical and Electronic Engineering
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