Article Per Year (5 Year)
p-Index From 2021 - 2026
0.882
P-Index
This Author published in this journals
All Journal International Journal of Electrical and Computer Engineering International Journal of Public Health Science (IJPHS) International Journal of Integrated Health Sciences Public Health of Indonesia
Rahman, Md Mizanur
Unknown Affiliation
Computer Science & IT Electrical & Electronics Engineering Health Professions Public Health

Published : 5 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 5 Documents
Search

 1 
Automated tomato leaf disease recognition using deep convolutional networks Sohel, Amir; Rahman, Md Mizanur; Hasan, Md Umaid; Islam, MD Kafiul; Rukhsara, Lamia; Rabeya, Tapasy
International Journal of Electrical and Computer Engineering (IJECE) Vol 15, No 2: April 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v15i2.pp1850-1860

Abstract

Agriculture is essential for the entire global population. An advanced, robust, and empirically sound agriculture sector is essential for nourishing the global population. Various leaf diseases cause financial hardships for farmers and related businesses. Early identification of foliar diseases in crops would greatly help farmers, leading to a substantial increase in agricultural productivity. The tomato is a widely recognized and nourishing food that is easily accessible and highly favored by farmers. Early diagnosis of tomato leaf diseases is crucial to maximize tomato crop production. This study aims to utilize a deep learning approach to accurately detect and classify damaged leaves and disease patterns in tomato leaf images. By employing a substantial quantity of deep convolutional network models, we achieved a high level of precision in diagnosing the condition. The dataset used in our study work is a self-contained dataset obtained by direct observation of tomato fields in rural areas of Bangladesh. It consists of four classes: healthy, black mold, grey mold, and powdery mildew. In this study work, we utilized various image pre-processing techniques and applied VGG16, InceptionV3, DenseNet121, and AlexNet models. Our results showed that the DenseNet121 model attained the higher accuracy of 97%. This discovery guarantees accurate detection of tomato diseases in a rapid manner, ushering in a new agricultural revolution.
Cucumber leaf disease identification in real-time via deep learning based algorithms Rahman, Md Mizanur; Nadim, Mahimul Islam; Akther, Mahinur; Ullah, Ahad; Ahmed, Jakaria; Ahmed, Muhammad Jalal Uddin; Jahan, Israt
International Journal of Electrical and Computer Engineering (IJECE) Vol 15, No 3: June 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v15i3.pp3127-3138

Abstract

Cucumber is a cash crop in Bangladesh as it is a side dish grown commercially in cultivable lands year-round. The early prediction of disease-prone crops could save grooming time and minimize losses. The conventional method of examining leaves just through observation of the human eye could only detect the diseases at an advanced stage without a concrete decision of which disease it might be and regular inspection is labour intensive, inaccurate and often unreliable. This study evaluates machine learning-based image analysis for classifying healthy and diseased cucumber leaves by training deep learning models to detect and identify observable traits. Total 1,629 images use as primary dataset and all the data collected from the cucumber field of Bangladesh. To fulfill this purpose, convolutional neural network (CNN), InceptionV3, and EfficientNetB4 are the models implemented in this paper to improve the classification of objects. The dataset was optimized by pre-processing techniques and the leaves are classified into four categories, namely angular leaf spot, downy mildew, powdery mildew, and good leaf. The EfficienNetB4 model achieved the highest train and test accuracy respectively 95% and 87%. A comparative examination of the available models was conducted in this paper to reach a solid decision.
Intention to Consume Alcohol among Dayak Adolescents in Sarawak: An Application of Theory of Planned Behavior Gahamat, Mohd Faiz; Rahman, Md Mizanur; Safii, Razitasham; Daud, Muhammad Siddiq; Ajeng, Rudy Ngau
International Journal of Integrated Health Sciences Vol 11, No 2 (2023)
Publisher : Faculty of Medicine Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15850/ijihs.v11n2.3353

Abstract

Objectives: To explore the application of a model that integrates various factors that influence Dayak adolescents' intentions to consume alcohol in Sarawak, Malaysia.Methods: A cross-sectional quantitative study was conducted from September 2019 to February 2022. Through multistage stratified cluster sampling, 12 districts were selected from 12 divisions. Respondents were selected randomly and were interviewed using a questionnaire.Results: Structural equation modeling was used to test the Theory of Planned Behavior (TPB) and explore the relationship between various variables and respondents' intention to consume alcohol. The findings suggest that attitude (β=.22, p<.001), subjective norm (β = .33, p < .001), and perceived behavior control (β =−.41, p<.001) influenced the intention to consume alcohol. In contrast, alcohol consumption was associated with intention (β=.15, p < .001), attitude (β=.20, p<.001), and perceived behavior control (β=−.32, p<.001).Conclusion: The findings demonstrated that the TPB model can be used to explore various variables that influence the intention to consume alcohol among Dayak adolescents, with attitude, subjective norm, and perceived behavior control as the variable influencing the intention. This highlights the need for paying attention to those variables when developing age-appropriate strategies that address various social levels to curb alcohol consumption. Given the concerning rates of risky drinking and dependency, school-based health initiatives and focused screening for Dayak adolescents are crucial.
Supportive work environment for people with Down syndrome in Malaysia: a cross-sectional study Rahman, Md Mizanur; Ting, Chuong Hock; Safii, Razitasham; Saimon, Rosalia; Chen, Yoke Yong; Puteh, Sharifa Ezat Wan; Adenan, Abg Safuan
International Journal of Public Health Science (IJPHS) Vol 14, No 3: September 2025
Publisher : Intelektual Pustaka Media Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijphs.v14i3.25124

Abstract

Understanding organizational culture, knowledge of employment rights, and positive attitudes towards people with disabilities is crucial for creating inclusive workplaces. This Malaysian study compared the perspectives of employers, employees, and community members with disabilities using a cross-sectional design and convenience sampling of 595 respondents. Data on demographics, organizational culture, legislative knowledge, and attitudes were collected via a validated survey and analyzed using descriptive statistics, one-way analysis of variance (ANOVA), and multiple linear regression in JAMOVI and SPSS, with a p-value<.05 indicating significance. The study found a moderately supportive organizational culture for employing people with disabilities, with the highest scores in supportive work environments and inclusive culture. Employers and employees perceived greater top management commitment and inclusivity than community members with Down syndrome. Legislative knowledge and positive attitudes significantly shaped perceptions of a supportive and inclusive workplace. Muslim participants reported greater support and disability-accommodating human resource (HR) practices than those of other religions. The findings underscore the need for targeted training and awareness programs on disability rights to enhance inclusivity among all stakeholders in Malaysia.
Adolescent Sexual and Reproductive Health Knowledge and Behavior: A Scoping Review of Interventions Ahi, Gerraint Gillan; Rahman, Md Mizanur; Ramli, Rafazila; Safii, Rasitasam; Minoi, Jacey Lynn; Li, Stephanie Chua Hui; Shminan, Ahmad Sofian; Choi, Lee Jun
Public Health of Indonesia Vol. 11 No. 4 (2025): October - December
Publisher : YCAB Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36685/phi.v11i4.1070

Abstract

Background: Adolescent sexual and reproductive health (SRH) education requires accurate knowledge, understanding of risks, and supportive access to well-being. Objectives: This review aims to assess how knowledge about sexual and reproductive health (SRH) influences adolescent behaviour, identifying barriers, effective strategies, and communication methods. It evaluates interventions like school-based programs and online resources to empower informed decision-making among adolescents regarding SRH. Method: A systematic search from January 2013 yielded 14 articles, mostly quantitative studies involving adolescents aged 14-19. A narrative analysis identified two main themes: (i) Enhancing SRH knowledge, attitudes, and skills for positive outcomes and innovative intervention strategies. The findings were organized by Endnote 20. Results: The key findings of the review highlight the effectiveness of interventions in improving adolescents’ knowledge, attitudes, and skills related to sexual and reproductive health (SRH). These interventions have shown success in enhancing adolescents’ understanding of SRH issues, fostering positive attitudes toward SRH topics, and building self-efficacy for safe sexual practices. Furthermore, the review highlights the importance of innovative and targeted intervention strategies, such as technology-driven approaches, customized interventions, and the synergistic combination of multiple strategies, to effectively address the diverse needs for SRH of adolescents and promote positive outcomes for SRH. Conclusions: This review emphasizes the impact of SRH interventions on adolescent well-being, advocating for tailored gender-specific approaches, policy integration, and long-term efficacy evaluations for sustained positive outcomes.
Co-Authors Adenan, Abg Safuan Ahi, Gerraint Gillan Ahmad, Sk Akhtar Ahmed, Jakaria Ahmed, Muhammad Jalal Uddin Ajeng, Rudy Ngau Akther, Mahinur Chen, Yoke Yong Choi, Lee Jun Daud, Muhammad Siddiq Gahamat, Mohd Faiz Hasan, Md Umaid Islam, Md Kafiul Jahan, Israt Li, Stephanie Chua Hui Minoi, Jacey Lynn Mizan, Sharmin Nadim, Mahimul Islam Puteh, Sharifa Ezat Wan Rabeya, Tapasy Ramli, Rafazila Rukhsara, Lamia Safii, Rasitasam Safii, Razitasham Safii, Razitasham binti Saimon, Rosalia Shminan, Ahmad Sofian Sohel, Amir Ting, Chuong Hock Ullah, Ahad