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Results for “"Maheen Islam"”

16+ results

Surface Plasmon Resonance Based Titanium Coated Biosensor for Cancer Cell Detection

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Md. Asaduzzaman Jabin, Kawsar Ahmed, Md. Juwel Rana, Bikash Kumar Paul et al.

Journal: IEEE photonics journalYear: 2019Citations: 313

A new optimized bowl-shaped mono-core surface plasmon resonance based cancer sensor is proposed for the rapid detection of different types of cancer affected cell. By considering the refractive index of each individual cancer contaminated cell with respect to their normal cell, some major optical pa...

Physical SciencesEngineeringBiomedical EngineeringOpen Access
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LeafNet: A proficient convolutional neural network for detecting seven prominent mango leaf diseases

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Redwan Ahmed Rizvee, Tasnim Hossain Orpa, Adil Ahnaf, Md Ahsan Kabir et al.

Journal: Journal of Agriculture and Food ResearchYear: 2023Citations: 58

Fruit production plays a significant role in meeting nutritional needs and contributing to the lessening of the global food crisis. Plant diseases are quite a common phenomenon that hampers gross production and causes huge losses for farmers in tropical South Asian weather conditions. In context, ea...

Life SciencesAgricultural and Biological SciencesPlant ScienceOpen Access
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Organizational Culture and Knowledge Sharing: Empirical Evidence from Service Organizations

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Md. Zahidul Islam, Sylvana Maheen Ahmed, Ikramul Hasan, Sarwar Uddin Ahmed

Journal: SSRN Electronic JournalYear: 2011Citations: 45

This paper aims to investigate the relationship between organizational cultural elements and knowledge sharing. This is a quantitative research by nature. A questionnaire is derived from previous studies. The survey covered seven service organizations in Bangladesh. Regression was adopted to test hy...

Social SciencesCommunicationKnowledge Management and SharingOpen Access
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Design of a real-time crime monitoring system using deep learning techniques

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Md. Muktadir Mukto, Mahamudul Hasan, Md. Maiyaz Al Mahmud, Ikramul Haque et al.

Journal: Intelligent Systems with ApplicationsYear: 2023Citations: 43

Criminal Activities and Crime Monitoring System has long been a research topic. In this paper, we propose an effective Crime Monitoring System (CMS) that can detect a crime in real-time using a camera surveillance system and notify the appropriate law enforcement officer. The CMS was proposed to cou...

Physical SciencesComputer ScienceArtificial IntelligenceOpen Access
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Voicing demands : feminist activism in transitional contexts

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Sohela Nazneen, Maheen Sultan

Journal: Medical Entomology and ZoologyYear: 2014Citations: 33

* Introduction: Voicing Demands: Feminist Activism in Transitional Contexts * Sohela Nazneen and Maheen Sultan * 1. Well-Chosen Compromises? Feminists Legitimizing Voice in Bangladesh * Sohela Nazneen and Maheen Sultan * 2. Feminisms in Brazil: Voicing and Channelling Women's Diverse Demands * Cecil...

Social SciencesPolitical Science and International RelationsPolitics and Conflicts in Afghanistan, Pakistan, and Middle EastOpen Access
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Performance Evaluation of Intrusion Detection System Using Machine Learning and Deep Learning Algorithms

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Md Sabbir Hossain, Dipayan Ghose, All Masror Partho, Minhaz Uddin Ahmed et al.

Year: 2023Citations: 26

Now that Internet access is so widely used, our society has a greater number of networked technologies. Data travels between them because of their daily activities. Due to the server's weaknesses, hackers may get access to the system through difficult-to-identify network breaches. One of the most we...

Physical SciencesComputer ScienceComputer Networks and Communications
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Improving Sleep Disorder Diagnosis Through Optimized Machine Learning Approaches

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Md. Atiqur Rahman, Israt Jahan, Maheen Islam, Taskeed Jabid et al.

Journal: IEEE AccessYear: 2025Citations: 25

Classifying sleep disorders, such as obstructive sleep apnea and insomnia, is crucial for improving human quality of life due to their significant impact on health. The traditional expert-based classification of sleep stages, particularly through visual inspection, is challenging and prone to errors...

Social SciencesPsychologyExperimental and Cognitive PsychologyOpen Access
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Prediction of Hazardous Effect of Heavy Metals of Point-Source Wastewater on Fish (Anabas cobojius) and Human Health

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Maheen Mehnaz, Yeasmin Nahar Jolly, A.K.M. Rashidul Alam, Jamiul Kabir et al.

Journal: Biological Trace Element ResearchYear: 2022Citations: 22

Aquatic ecosystems are exceedingly contrived due to industrial dispenses, as a huge amount of toxicants especially heavy metals are released, causing drastic effects on aquatic lives and the human body. This study was performed to assess the quality of point-source industrial wastewater at varying p...

Physical SciencesEnvironmental ScienceWater Science and Technology
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Using Deep Learning Systems for Imaging Methods for Recognising Brain Tumors

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Monjurul Islam Sumon, Md Tanvir Chowdhury, Syed Salman Hayat, Mahir Tagwar et al.

Year: 2023Citations: 21

Uncontrolled and abnormal cell proliferation is the cause of a brain tumor, a type of cancer. The healthcare industry has benefited from recent advancements in deep learning by using diagnostic imaging to identify various disorders. Task If you want to learn about images or identify images, CNN is t...

Life SciencesNeuroscienceNeurology
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Leukemia Prediction from Microscopic Images of Human Blood Cell Using HOG Feature Descriptor and Logistic Regression

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Hossain Abedy, Faysal Ahmed, Md. Nuruddin Qaisar Bhuiyan, Maheen Islam et al.

Year: 2018Citations: 21

Leukemia originates in bone marrow. It massively affects the production of appropriate blood cells. Hence, its early detection is very crucial for human living. Generally, computational approaches for Leukemia detection use microscopic blood cells images. Then, machine learning based models are trai...

Physical SciencesComputer ScienceComputer Vision and Pattern Recognition
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An Ensemble Learning Framework with Explainable AI for interpretable leaf disease detection

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Mohammad Rifat Ahmmad Rashid, Md. AL Ehtesum Korim, Mahamudul Hasan, Md Sawkat Ali et al.

Journal: ArrayYear: 2025Citations: 20

The early and accurate detection of plant diseases is critical for sustainable agriculture, ensuring crop health, reducing losses, and supporting food security. To address this challenge, we present an Ensemble Learning Framework with Explainable AI (XAI) tailored to disease detection, using cucumbe...

Life SciencesAgricultural and Biological SciencesPlant ScienceOpen Access
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Comparison of Feasibility between Machine Learning Algorithms In Terms of Predicting Energy Consumption of Smart Grid

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Md Tanvir Chowdhury, Noshin Samiha Prova, Md.Akram Uddin, Diba Akter Supti et al.

Year: 2023Citations: 20

Electricity is one of the most important things. There are so many sectors in where we need the supply of electricity continuously. Smart Grid is an automated system which can automatically control the supply of the electricity according to demand. Artificial Intelligence and Machine Learning is ess...

Physical SciencesComputer ScienceSignal Processing
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Deep learning for early detection of chronic kidney disease stages in diabetes patients: A TabNet approach

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Md Nakib Hayat Chowdhury, Mamun Bin Ibne Reaz, Sawal Hamid Md Ali, M.L. Crespo et al.

Journal: Artificial Intelligence in MedicineYear: 2025Citations: 19

Chronic kidney disease (CKD) poses a significant risk for diabetes patients, often leading to severe complications. Early and accurate CKD stage detection is crucial for timely intervention. However, it remains challenging due to its asymptomatic progression, the oversight of routine CKD tests durin...

Health SciencesHealth ProfessionsHealth Information Management
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Transforming agri-food value chains in Bangladesh: A practical application of blockchain for traceability and fair pricing

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Mohammad Rifat Ahmmad Rashid, Mahamudul Hasan, Md. Ariful Islam, Syeda Tasfia Tasnim et al.

Journal: HeliyonYear: 2024Citations: 14

The agricultural sector is a vital component of Bangladesh's economy, but its agri-food supply chain faces signifi-cant inefficiencies primarily due to the involvement of numerous intermediaries. This complexity not only reduces the profits for farmers but also affects the overall transparency and e...

Physical SciencesComputer ScienceInformation SystemsOpen Access
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ArsenicSkinImageBD: A comprehensive image dataset to classify affected and healthy skin of arsenic-affected people

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Ismot Ara Emu, Nishat Tasnim Niloy, Bhuyan Md Anowarul Karim, Anindya Chowdhury et al.

Journal: Data in BriefYear: 2023Citations: 14

Compared to other popular research domains, dermatology got less attention among machine learning researchers. One of the main concerns for this problem is an inadequate dataset since collecting samples from the human body is very sensitive. In recent years, arsenic has emerged as a significant issu...

Physical SciencesEnvironmental ScienceEnvironmental ChemistryOpen Access
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