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12,598 results on '"Al Mamun, A."'

1. Unveiling the Nexus between Quality and Student Engagement in Web-Based Collaborative Learning Systems

Author

Na Su, Abdullah Al Mamun, Mohammad Nurul Hassan Reza, Qing Yang, and Muhammad Mehedi Masud

Abstract

This study aims to address this research gap by thoroughly examining the intricate associations between the quality dimensions of web-based collaborative learning systems and student satisfaction toward continued usage of the system. We propose a theoretical model that integrates instructor quality, collaboration quality, and task technology fit into an information system model. Using a cross-sectional research design, data were collected from 575 Chinese university students and evaluated using partial least squares-structural equation modeling. The results showed that the system and service quality of web-based collaborative learning systems significantly influenced student satisfaction, whereas information, collaboration, and instructor quality had no significant impact. The task-technology fit of the web-based collaborative learning systems also influenced student satisfaction with continued usage of the system. Additionally, students' satisfaction with the web-based collaborative learning systems stimulated their continued use of the system. The study also validated the mediating effect of student satisfaction on the relationship between the quality dimensions of the web-based collaborative learning systems and continued usage of the system. The novelty of this study lies in the integration of three distinct variables--collaboration quality, instructor quality, and task-technology fit--into an established information system model. The findings of this study can aid policymakers and practitioners in higher education in planning, assessing, and implementing web-based collaborative learning systems to acquire more comprehensive insight into student satisfaction with the sustained use of web-based collaborative learning systems.

Published
2024
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2. Yoga Pose Classification Using Transfer Learning

Author

Akash, M. M., Mohalder, Rahul Deb, Khan, Md. Al Mamun, Paul, Laboni, and Ali, Ferdous Bin

Subjects
Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning
Abstract

Yoga has recently become an essential aspect of human existence for maintaining a healthy body and mind. People find it tough to devote time to the gym for workouts as their lives get more hectic and they work from home. This kind of human pose estimation is one of the notable problems as it has to deal with locating body key points or joints. Yoga-82, a benchmark dataset for large-scale yoga pose recognition with 82 classes, has challenging positions that could make precise annotations impossible. We have used VGG-16, ResNet-50, ResNet-101, and DenseNet-121 and finetuned them in different ways to get better results. We also used Neural Architecture Search to add more layers on top of this pre-trained architecture. The experimental result shows the best performance of DenseNet-121 having the top-1 accuracy of 85% and top-5 accuracy of 96% outperforming the current state-of-the-art result.

Published
2024

4. Internet of Educational Things (IoET): Enhancing Learning Experiences for People with Disabilities

Author

Ahmed, Afrin, Kaiser, M. Shamim, Rahman, Md. Sazzadur, Al Mamun, Shamim, Rahman, M. Mostafizur, Mahmud, Mufti, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Mahmud, Mufti, editor, Kaiser, M. Shamim, editor, Bandyopadhyay, Anirban, editor, Ray, Kanad, editor, and Al Mamun, Shamim, editor

Published
2025
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5. An Optimal Feature Selection-Based Approach to Predict Cervical Cancer Using Machine Learning

Author

Al Mamun, Abdullah, Uddin, Khandaker Mohammad Mohi, Chakrabarti, Anamika, Nur-A-Alam, Md., Mahbubur Rahman, Md., Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Mahmud, Mufti, editor, Kaiser, M. Shamim, editor, Bandyopadhyay, Anirban, editor, Ray, Kanad, editor, and Al Mamun, Shamim, editor

Published
2025
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6. NewBreeze: A Comprehensive Solution to a Beginner-Friendly Arch Linux Distribution with Zen Kernel

Author

Al Mamun, Abdullah, Najrul Howlader, S. M., Khanom, Shoma, Yousuf, Mohammad Abu, Moni, Mohammad Ali, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Mahmud, Mufti, editor, Kaiser, M. Shamim, editor, Bandyopadhyay, Anirban, editor, Ray, Kanad, editor, and Al Mamun, Shamim, editor

Published
2025
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7. High Voltage (~2 kV) field-plated Al0.64Ga0.36N-channel HEMTs

Author

Alam, Md Tahmidul, Chen, Jiahao, Stephenson, Kenneth, Mamun, Md Abdullah-Al, Mazumder, Abdullah Al Mamun, Pasayat, Shubhra S., Khan, Asif, and Gupta, Chirag

Subjects
Physics - Applied Physics
Abstract

High voltage (~2 kV) AlGaN-channel HEMTs were fabricated with 64% Aluminum composition in the channel. The average on-resistance was ~75 ohm. mm (~21 miliohm. cm^2) for LGD = 20 microns. Breakdown voltage reached >3 kV (tool limit) before passivation however it reduced to ~2 kV after SiN surface passivation and field plates. The apparent high breakdown voltage prior to passivation can possibly be attributed to the field plate effect of the charged trap states of the surface. The breakdown voltage and RON demonstrated a strong linear correlation in a scattered plot with ~50 measured transistors. In pulsed IV measurements with 100 microsecond pulse width and 40 V of off-state bias (tool limit), the dynamic RON increased by ~5% compared to DC RON and current collapse was <10%., Comment: 4 pages, 6 figures

Published
2024

20. Tolerant Tracking Control Protocol for PMSM Based on Policy Iteration Algorithm and Fault Compensation

Author

Yan, Shuya, Li, Xiaocong, Qian, Huaming, Ma, Jun, Al Mamun, Abdullah, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Li, Haizhou, editor, Schultz, Tanja, editor, Bi, Yalei, editor, Zhu, Jian, editor, He, Hongsheng, editor, Ma, Jun, editor, Cai, Siqi, editor, Jiang, Wanyue, editor, and Ge, Shuzhi Sam, editor

Published
2025
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21. An Improved Railway Point Machine Control Mechanism for Enhancing Safety and Reliability of Rail Networks

Author

Islam, Saiful, Al Mamun, Abdullah, Nahin, Nazmul Islam, Biswas, Shuvra Prokash, Islam, Rabiul, Shaw, Rabindra Nath, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Tan, Kay Chen, Series Editor, Kalam, Akhtar, editor, Mekhilef, Saad, editor, and Williamson, Sheldon S., editor

Published
2025
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23. A Survey of Learned Indexes for the Multi-dimensional Space

Author

Al-Mamun, Abdullah, Wu, Hao, He, Qiyang, Wang, Jianguo, and Aref, Walid G.

Subjects
Computer Science - Databases, Computer Science - Machine Learning
Abstract

A recent research trend involves treating database index structures as Machine Learning (ML) models. In this domain, single or multiple ML models are trained to learn the mapping from keys to positions inside a data set. This class of indexes is known as "Learned Indexes." Learned indexes have demonstrated improved search performance and reduced space requirements for one-dimensional data. The concept of one-dimensional learned indexes has naturally been extended to multi-dimensional (e.g., spatial) data, leading to the development of "Learned Multi-dimensional Indexes". This survey focuses on learned multi-dimensional index structures. Specifically, it reviews the current state of this research area, explains the core concepts behind each proposed method, and classifies these methods based on several well-defined criteria. We present a taxonomy that classifies and categorizes each learned multi-dimensional index, and survey the existing literature on learned multi-dimensional indexes according to this taxonomy. Additionally, we present a timeline to illustrate the evolution of research on learned indexes. Finally, we highlight several open challenges and future research directions in this emerging and highly active field.

Published
2024

24. Binary Gaussian Copula Synthesis: A Novel Data Augmentation Technique to Advance ML-based Clinical Decision Support Systems for Early Prediction of Dialysis Among CKD Patients

Author

Khosravi, Hamed, Das, Srinjoy, Al-Mamun, Abdullah, and Ahmed, Imtiaz

Subjects
Statistics - Applications, Computer Science - Artificial Intelligence, Computer Science - Machine Learning
Abstract

The Center for Disease Control estimates that over 37 million US adults suffer from chronic kidney disease (CKD), yet 9 out of 10 of these individuals are unaware of their condition due to the absence of symptoms in the early stages. It has a significant impact on patients' quality of life, particularly when it progresses to the need for dialysis. Early prediction of dialysis is crucial as it can significantly improve patient outcomes and assist healthcare providers in making timely and informed decisions. However, developing an effective machine learning (ML)-based Clinical Decision Support System (CDSS) for early dialysis prediction poses a key challenge due to the imbalanced nature of data. To address this challenge, this study evaluates various data augmentation techniques to understand their effectiveness on real-world datasets. We propose a new approach named Binary Gaussian Copula Synthesis (BGCS). BGCS is tailored for binary medical datasets and excels in generating synthetic minority data that mirrors the distribution of the original data. BGCS enhances early dialysis prediction by outperforming traditional methods in detecting dialysis patients. For the best ML model, Random Forest, BCGS achieved a 72% improvement, surpassing the state-of-the-art augmentation approaches. Also, we present a ML-based CDSS, designed to aid clinicians in making informed decisions. CDSS, which utilizes decision tree models, is developed to improve patient outcomes, identify critical variables, and thereby enable clinicians to make proactive decisions, and strategize treatment plans effectively for CKD patients who are more likely to require dialysis in the near future. Through comprehensive feature analysis and meticulous data preparation, we ensure that the CDSS's dialysis predictions are not only accurate but also actionable, providing a valuable tool in the management and treatment of CKD.

Published
2024

27. Text messaging to improve retention in hypertension care in Bangladesh

Author

Jubayer, Shamim, Akhtar, Jubaida, Abrar, Ahmad Khairul, Sayem, Md. Noor Nabi, Islam, Shahinul, Amin, Khondoker Ehsanul, Nahid, Muhtamim Fuwad, Bhuiyan, Mahfuzur Rahman, Al Mamun, Mohammad Abdullah, Alim, Abdul, Amin, Mohammad Robed, Burka, Daniel, Gupta, Prabhanshu, Zhao, Di, Matsushita, Kunihiro, Moran, Andrew E., Choudhury, Sohel Reza, and Gupta, Reena

Published
2024
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48. Prevalence and factors associated with digital addiction among students taking university entrance tests: a GIS-based study

Author

Al-Mamun, Firoj, Hasan, Md Emran, Mostofa, Nahida Bintee, Akther, Marzia, Mashruba, Tahnin, Arif, Mohammad, Chaahat, Amatul Haque, Salam, Anha Bushra, Akter, Maksuda, Abedin, Md Al Asif, Bulbul, Md. Imtiaj Ahmad, Adnan, Md Shoeb, Islam, Md. Shafiul, Ahmed, Mst. Shauda, Shahin, Md. Sultan Mahmud, Islam, Saiful, Hussain, Mumtaz Mohammed, Al Habib, Abdullah, ALmerab, Moneerah Mohammad, Gozal, David, Muhit, Mohammad, Roy, Nitai, and Mamun, Mohammed A.

Published
2024
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