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Results for “"Izazul Haque Saad"”

5 results

An automated approach for eggplant disease recognition using transfer learning

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Izazul Haque Saad, Md. Mazharul Islam, Isa Khan Himel, Md. Jueal Mia

Journal: Bulletin of Electrical Engineering and InformaticsYear: 2022Citations: 18

In Bangladesh, eggplant is a widely grown crop that is vital to the country’s food security. The vegetable is consumed on a regular basis by the majority of people. Since Bangladesh’s economy is heavily reliant on agriculture, eggplant growing might help the country’s economy and productivity flouri...

Life SciencesAgricultural and Biological SciencesPlant ScienceOpen Access
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Optimizing CNN Architectures for Deep Learning based Classification of X-ray images

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Tasriful Haque, Ravina Akter Youki, Tazwar Mahmud, Izazul Haque Saad et al.

Year: 2025

With the widespread deployment of smart meters across power systems, researchers now have access to high-resolution big data, enabling advanced analysis and the development of optimized power management strategies. This paper explores the application of explainable artificial intelligence (XAI) in p...

Physical SciencesEngineeringElectrical and Electronic Engineering
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Optimizing CNN Architectures for Deep Learning based Classification of X-ray images

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Tasriful Haque, Ravina Akter Youki, Tazwar Mahmud, Izazul Haque Saad et al.

Year: 2025

Medical imaging, especially X-ray radiography, plays a pivotal role in diagnosing musculoskeletal disorders. However, the clinical diagnosis by radiologists can be labor-intensive and somewhat variable, thus making it attractive to consider deep learning approaches for automating the classification ...

Health SciencesMedicineHealth Informatics
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A Study of Predicting Social Networking Sites(SNS) Media Disorder Survey Data Using a Machine Learning Approach

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Jerin Akther Munia, K.B.M Tahmiduzzaman, Izazul Haque Saad, Md Tariqul Islam et al.

Year: 2025

This study uses survey data and machine learning algorithms to forecast social media disorder in people. A total of 600 individuals answered questions on their social media usage patterns, internet habits, demographics, and signs of social media disorder. This dataset was used to train a number of m...

Physical SciencesComputer ScienceInformation Systems
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An Ensemble Model to Detect Awareness of Malicious Software by Analyzing Users’ Mobile Usage Patterns in the Context of Bangladesh

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Rabaya Akhter Trisha, Md Sajjad, Izazul Haque Saad, K.B.M Tahmiduzzaman et al.

Year: 2024

The aim of this research was to discover how well-informed the people of Bangladesh are when it comes to malicious software and how much of an awareness level they have of the problem. The system is able to examine usage patterns and trends in awareness by applying supervised machine learning techno...

Physical SciencesComputer ScienceComputer Networks and Communications
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