Articles: Recent submissions

Now showing items 561-580 of 4282

A review of microplastic threat mitigation in Asian lentic environments

Sadia, Moriom Rahman; Hasan, Mehedi; Islam, Abu Reza Md. Towfiqul; Jion, Most. Mastura Munia Farjana; Masud, Md Abdullah Al; Rahman, Md. Naimur (Scopus, 2024-01-31)

Microplastic (MP) pollution has evolved into a significant worldwide environmental concern due to its widespread sources, enduring presence, and adverse effects on lentic ecosystems and human well-being. The growing awareness ...
A Review of Experimentation Numerical Simulation of Low-Velocity Impact Performances and Damages of Fiber-Reinforced Composites

Rahman, Md. Mominur; Ismail, Al Emran; Ramli, Muhammad Faiz; Rashid, Azrin Hani Abdul (Scopus, 2024)

Fiber-reinforced composites (FRCs) are extensively utilized in various industries due to their lightweight and high-strength properties, making the understanding of their response to low-velocity impact (LVI) crucial for ...
A Reflection Of Covid-19 Pandemic On The Tourism Sector In Bangladesh: Financial And Economic Aspects

Khan, Sunjida; Chowdhury, Shanjida; Stavska, Yuliia; Dobrіanska, Natalia; Mazur, Yuliia; Shekera, Svitlana (Scopus, 2024)

Bangladesh has been experiencing the tourism industry as one of the most potential sectors proving a great contribution to the economy in recent years. However, at the beginning of 2020, this sector has transformed reversely ...
A real-time dataset of air quality index monitoring using IoT and machine learning in the perspective of Bangladesh

Islam, Md. Monirul; Jibon, Ferdaus Anam; Tarek, M. Masud; Kanchan, Muntasir Hasan; Shakil, Shalah Uddin Perbhez (Scopus, 2024-08-30)

This paper produces a real-time air quality index dataset of three places named Kuril Bishow Road, Uttara, and Tongi in Dhaka and Gazipur City, Bangladesh. The IoT framework consists of MQ9, MQ135, MQ131, and dust or PM ...
Architectural design and affecting factors of MXene-based textronics for real-world application

Repon, Md. Reazuddin; Mikučionienė, Daiva; Paul, Tamal Krishna; Rahman, Mohammed M.; Islam, Tarekul; Shukhratov, Sharof (Scopus, 2024-05-20)

Today, textile-based wearable electronic devices (textronics) have been developed by taking advantage of nanotechnology and textile substrates. Textile substrates offer flexibility, air permeability, breathability, and ...
A rapid and large volume synthesis of mono-, di-, tri-, and tetra-substituted imidazole derivatives via ultrasonic radiation-driven technique

Shaikh, Mohd Sayeed; Kale, Mayura A.; Zehravi, Mehrukh; Unnisa, Aziz; Haque, M. Akiful; Kumar, Kusuma Praveen; Khan, Sharuk L.; Siddiqui, Syed Sarfaraz Ali Falak A.; Khandaker, Mayeen Uddin (Scopus, 2024-01-12)

Sonochemistry under controlled conditions has proven effective in medicinal chemistry and drug development. It can substantially shorten reaction timelines from days or hours to minutes. A convenient one-pot synthesis of ...
Aquila Optimizer-Based Hybrid Predictive Model for Traffic Congestion in an IoT-Enabled Smart City

Chahal, Ayushi; Gulia, Preeti; Gill, Nasib Singh; Sultana, Nishat (Scopus, 2024-01-31)

Effective traffic congestion prediction is need of the hour in a modern smart city to save time and improve the quality of life for citizens. In this study, AB_AO (ARIMA Bi-LSTM using Aquila optimizer), a hybrid predictive ...
Aptamer biosensor design for the detection of endocrine-disrupting chemicals small organic molecules using novel bioinformatics methods

Bayıl, Imren; Hossain, Md. Sarowar; Tamanna, Sonia; Uddin, Md Jamir; Ahamed, .M. Mashood; Jardan, Yousef A. Bin; Bourhia, Mohammed; Tok, Tugba Taskin (Scopus, 2024-09-30)

Endocrine-disrupting chemicals (EDCs) are substances that can disrupt the normal functioning of hormones . Using aptamers, which are biological recognition elements, biosensors can quickly and accurately detect EDCs in ...
A Probabilistic Approach for Missing Data Imputation

Arefin, Muhammed Nazmul; Masum, Abdul Kadar Muhammad (Scopus, 2024-01-19)

: In the context of data analysis, missing data imputation is a vital issue due to the typically large scale and complexity of the datasets. It often results in a higher incidence of missing data. So, addressing missing ...
Aprecise machine learning model: Detecting cervical cancer using feature selection and explainable AI

Shakil, Rashiduzzaman; Islam, Sadia; Akter, Bonna (Scopus, 2024-12-30)

Cervical cancer is a cancer that remains a significant global health challenge all over the world. Due to improper screening in the early stages, and healthcare disparities, a large number of women are suffering from this ...
Applied Hypothetical Scenarios to Estimate the Human Risk of U-238 in Leiognathus sp. and Portunus sanguinolentus from Madras Nuclear Power Plant Zone, India

Sharif, Sherif A. AL- (Scopus, 2024-03)

The present investigation was set as a database study that estimated the bioaccumulation and potential human health risks of Uranium 238 (U-238) when consuming Leiognathus sp. and Portunus sanguinolentus from thefrom the ...
Applications of artificial intelligence in the utilisation of imaging modalities in dentistry: A systematic review and meta-analysis of in-vitro studies

Alam, Mohammad Khursheed; Alftaikhah, Sultan Abdulkareem Ali; Issran, Rakhi; Ronsivalle, Vincenzo; Giudice, Antonino Lo; Cicciù, Marco; Minervini, Giuseppe (Scopus, 2024)

Background: In the past, dentistry heavily relied on manual image analysis and diagnostic procedures, which could be time-consuming and prone to human error. The advent of artificial intelligence (AI) has brought transformative ...
Application of Computer Vision and Mobile Systems in Education: A Systematic Review

Dhahi, Thikra S.; Dafhalla, Alaa Kamal Yousif; -Mufti, Wesam Al; Elobaid, Mohamed Elshaikh; Adam, Tijjani; Gopinath, Subash C.B. (Scopus, 2024-12-30)

Neurodegenerative diseases like Alzheimer’s disease and Parkinson’s disease are hard to diagnose and treat early. They are characterized by progressive loss of neuronal function and structure leading to crippling cognitive, ...
An Investigation of Transportation Availability for Socially Sustainable Dhaka, Bangladesh

Razia, Sultana; Akter, Marufa; Rahman, Md. Azizur (Scopus, 2024)

Sustainable urban development stands as a pivotal imperative in contemporary discourse. One of the world's largest megacities, Dhaka, faces immense social sustainability challenges due to rapid urbanization for both present ...
An LSTM network-based model with attention techniques for predicting linear T-cell epitopes of the hepatitis C virus

Hosen, Md. Faruk; Mahmud, S. M. Hasan; Goh, Kah Ong Michael; Uddin, Muhammad Shahin; Nandi, Dip; Shatabda, Swakkhar; Shoombuatong, Watshara (Scopus, 2024)

: Hepatitis C virus (HCV) infection remains a significant global health challenge, often resulting in severe longterm physical complexity and even death. Since its discovery, HCV has exhibited substantial genetic variability, ...
An LSTM network-based model with attention techniques for predicting linear T-cell epitopes of the hepatitis C virus

Ahmed, Md. Kawsar; Nahin, Kamal Hossain; Ahammed, Md. Sharif; Haque, Md. Ashraful; Singh, Narinderjit Singh Sawaran; Ananta, Redwan Al Mahmud Asad; Nirob, Jamal Hossain; Islam, Mirajul; Paul, Liton Chandra (Scopus, 2024)

In this research, we explain comprehensive industrial and innovation results on using an artificial neural network (ANN) method to improve the performance of microstrip patch antennas for 5G, indoor-outdoor, and Ku band ...
A comprehensive exploration of human communal media interaction and its evolving impact on psychological health across demographics and time

Akhund, Tajim Md. Niamat Ullah (Scopus, 2024)

This work presents a comprehensive literature review and real-world survey analysis examining the intricate relationship between communal media and psychological concerns within human–computer interaction (HCI). By ...
A novel approach to analyzing the impact of AI, ChatGPT, and chatbot on education using machine learning algorithms

Hasan, Nahid; Polin, Johora Akter; Ahmmed, Md. Rayhan; Sakib, Md. Mamun; Jahin, Md. Farhan; Rahman, Md. Mahfuzur (Scopus, 2024)

Artificial intelligence (AI) is one of the most common and essential technologies in this modern era, especially in the education and research sectors. It mimics machine-processed human intellect. In modern times, ChatGPT ...
A Novel Extendable MLI Topology on Minimizing Number of Switches

Rahman, Ubaidur; Haque, Iftekhar; Roychoudhury, Srimanti (Scopus, 2024-04-04)

An essential factor in modern power electronics applications involves the use of a power converter that combines efficiency with affordability. The advancement of mature medium-power self converting switching devices has ...
A Novel Approach to Select an Optimal Text Compression Method Based on Application

Rahman, Md. Atiqur; Nirob, Md. Asraful Sharker; Akter, Mashreka; Ayan, Mariyam Bin; Payel, Israt Jahan (Scopus, 2024)

Substantial amounts of text data are now produced on many platforms, especially via social media and in various industries. These data are challenging to store on a local computer or to send over the internet. Compression ...

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