DIU Faculty Publication: Recent submissions

Now showing items 481-500 of 3702

The disproportionate case–fatality ratio of COVID-19 between countries with the highest vaccination rates and the rest of the world

Haider, Najmul; Hasan, Mohammad Nayeem; Guitian, Javier; Khan, Rumi A.; McCoy, David; Ntoumi, Francine; Dar, Osman; Ansumana, Rashid; Uddin, Md. Jamal; Zumla, Alimuddin; Kock, Richard A. (Daffodil International University, 2023-03-23)

Objectives The global reported cumulative case–fatality ratios (rCFRs) and excess mortality rates of the 20 countries with the highest coronavirus disease 2019 (COVID-19) vaccination rates, the rest of the world and ...
The economics of additive manufacturing ikand topology optimisation–a case analysis of the electric scooter

Toshev, Rayko; Kolatsis, Nikos; Shamzzuzoha, Ahm; Helo, Petri (Daffodil International University, 2023-04-28)

This article describes the process of topology optimisation (TO) of three components of an electric scooter, namely the neck, platform, and suspension bracket. We use these example parts to investigate the additive ...
Preparation, Phase Stability, and Magnetization Behavior of High Entropy Hexaferrites

Zhivulin, Vladimir E.; Trofimov, Evgeniy A.; Zaitseva, Olga V.; Zubar, Tatiana I.; Trukhanov, Alex V. (Elsevier, 2023-07-21)

The polycrystalline SrFe12O19 samples deeply substituted up to at.67% by Al3+, Ga3+, In3+, Co3+, and Cr3+ cations with a high configurational mixing entropy were prepared by solid-phase synthesis. Phase purity and unit ...
Preparation and Characterization of Snake Plant Fiber Reinforced Composite: A Sustainable Utilization of Biowaste

Mishfa, K.F.; Alim, M.A.; Repon, M.R.; Habibullah, M.D.; Tonmoy, M.A.H.; Jurkonienė, S.; Shukhratov, S. (John Wiley and Sons, 2023-01-15)

Natural fibers are one of the most attractive materials in biocomposites due to their potential for sustainability. This study aims to prepare sustainable composite materials using fibers from Sansevieria trifasciata (snake ...
Preliminary Exploratory Study Are HEPs Ready for Communication & Multimedia Micro Credentials Adoption in Malaysia

Keoy, Kay Hooi; Iqbal, Javid; Ho, Meng Chuan; Ooi, Pei Boon; Anjum, Shaik Shabana; Koh, Yung Jing; Yeo, Sook Fern; Teoh, Wai Yee; Lillian, Siew Yick Kek (IEEE, 2023-10-15)

Micro-credentials are officially recognized records that demonstrate the completion of learning objectives during shorter, less time-consuming educational or training events. They concentrate on validating competency-based ...
Preferences and Practices of Face Mask to Halt the Spread of COVID-19: A Multi-Country Research on the New Normal

Abid, Khadijah; Ahmed, Hassan; Bari, Yashfika Abdul; Younus, Maryam; Khambati, Zainab Pervez; Jabbar, Abdul; Billah, Abul Hasan Md. Khaza Baki; Khura, Bikash; Khurshid, Zohaib; Dhufera, Hailu Tamiru; Goharinezhad, Salime (Creative Commons Attribution License, 2023-01-15)

"Objective: To determine preferences and practices regarding facemasks in order to prevent COVID-19 spread among citizens of different countries. Methods: It was a cross-sectional study conducted from July to August, ...
Prediction of Typhoid Using Machine Learning and ANN Prior to Clinical Test

Bhuiyan, Md. Atik; Rad, Sharaf Shahariare; Johora, Fatema Tuj; Islam, Abdullah; Hossain, Md Ismail; Khan, Aliza Ahmed (IEEE, 2023-05-24)

One of the most prevalent illnesses, typhoid causes a large number of fatalities each year, primarily in Africa. A quick and accurate diagnosis is essential in the medical sector. Self-medication, delayed diagnosis, a lack ...
Prediction of COVID-19 Using Machine Learning and Deep Learning Approaches: A Data Driven Study

Akhter, Thanzina; Barua, Labannya; Sultana, Mahmuda; Masum, Abdul Kadar Muhammad (IEEE, 2023-10-27)

COVID-19 is generated by the SARS-CoV2 virus, which has caused an outbreak around the world. Since 2020, it has been labeled a pandemic. Due to the daily growth in the number of cases, this takes time for demonstrating the ...
Prediction of Breast Cancer using Traditional and Ensemble Technique: A Machine Learning Approach

Islam, Tamanna; Akhi, Amatul Bushra; Akter, Farzana; Hasan, Md. Najmul; Lata, Munira Akter (Science and Information Ogranization, 2023-01-15)

Breast cancer is a prevalent and potentially life-threatening disease that affects millions of individuals worldwide. Early detection plays a crucial role in improving patient outcomes and increasing the chances of survival. ...
Predicting the Level of Safety Feeling of Bangladeshi Internet users using Data Mining and Machine Learning

Alam, Md. Safiul; Roy, Anirban; Majumder, Partha Protim; Khushbu, Sharun Akter (Science and Information Ogranization, 2023-01-15)

An amazing combination of cutting-edge data mining and machine learning methodologies to predict the level of safety feeling among Bangladeshi internet users, which is a significant departure in this subject. By leveraging ...
Predicting User Perception Regarding Usefulness of Google Classroom Through Machine Learning Algorithms

Khan, Emran; Akter, Afroza; Prity, Sabrina Sultana; Rahman, Fahim Ur (IEEE, 2023-11-23)

To investigate the attitudes of the students at the tertiary level of different institutes towards using google classroom as a convenient online platform for learning the English Language, especially contemplating reading ...
Predicting Sugarcane Yields using Supervised Learning: A Comparative Study

Papon, Parvez Ahmed; Rahman, Md Mahfuzur; Ahamed, Shafin; Mamun, Shahriar; Mehadi, Md Zahirul Islam; Polin, Johora Akter (IEEE, 2023-12-23)

Bangladesh's sole source of white sugar is sugarcane, an agricultural commodity used to produce biofuels and other products. In recent years, ML techniques have been used to forecast yield, with encouraging outcomes. In ...
Predicting Saving Intention and Behavior Among University Students Using Partial Least Square Structural Equation Modelling

Rhu, Ng Xin; Yian, Chong Tiang; Zainol, Noor Raihani; Abi, Tanvir; Mamun, Abdullah Al; Salameh, Anas A. (Springer Nature, 2022-07-08)

In Malaysia, many university students have different views on saving management based on different factors. Therefore, this study aims to examine the intention and behaviours towards saving among Malaysian students. A ...
Predicting Public Willingness to Use Autonomous Shuttles: Evidence from an Emerging Economy

Liew, Ying Wei; Vafaei-Zadeh, Ali; Ramayah, Thurasamy (SAGE Publications, 2023-08-28)

The purpose of this paper is to investigate the public’s willingness to adopt autonomous shuttles for public transport. This study proposes a research framework to explain people’s adoption intentions. Therefore, this study ...
Predicting Bangladesh Life Expectancy Using Multiple Depend Features and Regression Models

Jannat, Fatema Tuj; Biplob, Khalid Been Md. Badruzzaman; Bitto, Abu Kowshir (Springer Nature, 2023-05-16)

The average longevity of a person is measured by life expectancy. The length of one's life is determined by several factors. In this study, we utilized GDP, rural population growth, urban population growth, services value, ...
PreCKD_ML: Machine Learning Based Development of Prediction Model for Chronic Kidney Disease and Identify Significant Risk Factors

Mia, Md. Rajib; Rahman, Md. Ashikur; Ali, Md. Mamun; Ahmed, Kawsar; Bui, Francis M.; Mahmud, S M Hasan (Springer Nature, 2023-06-11)

Chronic Kidney Disease (CKD) is major concern of death in recent years that can be cured by early treatment and proper supervision. But early detection of CKD and exact risk factors should be known to ensure proper treatment. ...
Potential Candidates From Marine and Terrestrial Resources Targeting Mitochondrial Inhibition

Mitra, Saikat; Rauf, Abdur; Sutradhar, Hriday; Sadaf, Samia; Hossain, Md. Jamal; Soma, Mahfuza Afroz; Emran, Talha Bin; Ahmad, Bashir; Aljohani, Abdullah S.M.; Abdulmonem, Waleed Al; Thiruvengadam, Muthu (Elsevier, 2023-02-15)

Mitochondria are the target sites for multiple disease manifestations, for which it is appealing to researchers' attention for advanced pharmacological interventions. Mitochondrial inhibitors from natural sources are of ...
Predicting Participants’ Performance in Programming Contests Using Deep Learning Techniques

Rahman, Md. Mahbubur; Das, Badhan Chandra; Biswas, Al Amin; Anwar, Md. Musfique (Tech Science Press, 2023-02-11)

" In recent days, the number of technology enthusiasts is increasing day by day with the prevalence of technological products and easy access to the internet. Similarly, the amount of people working behind this rapid ...
Predicting BPL Match Winners: An Empirical Study Using Machine Learning Approach

Adhikari, Bornita; Ahamed, Md. Sazzadur (IEEE, 2023-11-23)

With the evolution of computer science, every company is implementing the newest technologies to survive in market with better decision-making capabilities, better communication and customer satisfaction. The only means ...
Pre and Present COVID-19 Situation: A Framework of Educational Transformation in South Asia RegionPre and Present COVID-19 Situation

Khan, Sunjida; Zayed, Nurul Mohammad; Darwish, Saad; Nitsenko, Vitalii; Islam, K. M. Anwarul; Hassan, Md. Arif; Dubrova, Oksana (Wolters Kluwer Health, Inc, 2023-02-15)

"This study is designed to support the development of strategies to recover from the disrupted impact of COVID-19 on HE institutes of the South Asian Region (SAR), as the nations in this region are severely cursed by poverty ...

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