Browsing Conference paper by Issue Date

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Artificial Intelligence of Things (AIoT) Technologies and Applications

Sung, Tien-Wen; Tsai, Pei-Wei; Gaber, Tarek; Lee, Chao-Yang (Scopus, 2021-08-15)

AIoT (Artificial Intelligence of Things) is a relatively new term that has recently become a hot topic that combines two of the hottest acronyms, AI (Artificial Intelligence) and IoT (Internet of Things). IoT consists of ...
Artificial Intelligence of Things (AIoT) Technologies and Applications

Sung, Tien-Wen; Tsai, Pei-Wei; Gaber, Tarek; Lee, Chao-Yang (Scopus, 2021-08-15)

AIoT (Artificial Intelligence of Things) is a relatively new term that has recently become a hot topic that combines two of the hottest acronyms, AI (Artificial Intelligence) and IoT (Internet of Things). IoT consists of ...
The Biggest Global Issues Facing Humankind: A Meta-Analysis of Poverty Alleviation and Poverty Eradication

Islam, Md. Aminul; Thottoli, Mohammed Muneerali; Abdullah, ABM; Ahmad, Tunku Salha Tunku; Rahmane, Shafiqur (Scopus, 2023-09-04)

This study conducted a comprehensive literature review on global poverty alleviation and eradication. A structured literature review (SLR) was employed, collecting 955 articles from the Scopus database spanning from 1990 ...
Investigation of Air Effluence Using IoT and Machine Learning

Perbhez Shakil, Shalah Uddin; Abul Kashem, Mohammod; Monirul Islam, Md.; Mahmud Nayan, Nasim; Uddin, Jia (2023-12-20)

Air pollution poses a significant issue in numerous cities worldwide, impacting public health and the environment. We study three significant cities under the Dhaka division, including Kuril Bishow Road, Uttara, and Tongi. ...
Sentiment Analysis of Various Ride Sharing Applications Reviews: A Comparative Analysis Between Deep Learning and Machine Learning Algorithms

Ahammad, Md. Saymon; Sinthia, Sadia Akter; Chowdhury, Md. Muaj; Asif, Nur-A-All; Ikram, Md. Nurul Afsar (Scopus, 2024)

The exponential growth of ride sharing platforms in developing countries has significantly transformed the landscape of urban transportation. It is crucial for service providers to comprehend customer feedback and opinions ...
Zero- and Few-Shot Prompting with LLMs: A Comparative Study with Fine-tuned Models for Bangla Sentiment Analysis

Hasan, Md. Arid; Das, Shudipta; Anjum, Afiyat; Alam, Firoj; Anjum, Anika; Sarker, Avijit; Noori, Sheak Rashed Haider (Scopus, 2024)

The rapid expansion of the digital world has propelled sentiment analysis into a critical tool across diverse sectors such as marketing, politics, customer service, and healthcare. While there have been significant ...
Predicting Pre-Owned Bike Values with Machine Learning Techniques in Bangladesh

Ferdous, Kazi Hassanul; Arman, Md.Shohel; Ahmed, Kazi Rifat; Tasnim, Nusrat; Mahmud, Imran; Revathi, P. (Scopus, 2024)

As the importance of sustainable practices in the automobile sector grows, it's critical to anticipate motorcycle prices and offerings. With so many variables to consider when buying a secondhand motorcycle-condition, ...
AttNet: An Attention-Based BiGRU Network for Remaining Useful Life Prediction

Shakil, Ahsanul Haque; Orin, Mst. Afsana; Rahman, Mostafijur; Kabir, Md Alamgir (Scopus, 2024)

Remaining Useful Life (RUL) prediction is crucial for prognostics and health management (PHM) in industrial applications, as it helps to reduce unexpected maintenance and downtime costs. This study introduces AttNet, an ...
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 ...
Advancing Agricultural Diagnostics with a Hybrid Deep Learning Model for Sugarcane Leaf Disease Classification

Nirob, Md. Asraful Sharker; Deeya, Ikteshad Binte Kalam; Rukhsara, Lamia; Rabeya, Tapasy; Jahan, Israt (Scopus, 2024)

Sugarcane, an essential crop for sugar production and biofuel, is susceptible to diseases that greatly affect its yield and quality. To address this, we propose a hybrid deep learning model combining ResNet152 and ...
Age and Gender Classification using Multiple Convolutional Neural Network

Hadi, Israa; Hassan, Khaled Rahman (Scopus, 2024)

Since the advent of social media, there has been an increased interest in automatic age and gender classification through facial images. So, the process of age and gender classification is a crucial stage for many applications ...
Advancements in Jute Leaf Disease Detection: A Comprehensive Study Utilizing Machine Learning and Deep Learning Techniques

Haque, Rezaul; Miah, Md Miraz; Sultana, Shayma; Fardin, Hasib; Noman, Abdullah Al; Sakib, Abdullah Al-; Hasan, Md Kamrul; Rafy, Al; Rahman, Md Shihabur; Rahman, Shafiur (Scopus, 2024)

Detecting diseases in jute leaves is difficult due to the variability in how the diseases appear. Manually identifying these diseases is challenging because it requires expert knowledge and visual inspections take a lot ...
Efficient Water Pliability Prediction for Human Consumption-Exploratory data analysis (EDA) and Multi Algos

Rimi, Tanzina Afroz; Readoy, Tanmoy Komer; Chowdhury, Md Tahmid; Noori, Sheak Rashed Haider; Chakraborty, Narayan Ranjan; Mojumdar, Mayen Uddin (Scopus, 2024)

Water quality assessment is crucial for public health, prompting the gathering and preprocessing of a comprehensive dataset encompassing diverse quality parameters. This study focuses on enhancing the prediction of water ...
Advances in Medical Imaging: Deep Learning Strategies for Pneumonia Identification in Chest X-rays

Khan, Sadman Sadik; Rupak, Afraz Ul Haque; Faieaz, Washik Wali; Jannat, Sayma; Prova, Nuzhat Noor Islam (Scopus, 2024)

Pneumonia poses a widespread international fitness mission, in particular affecting prone populations which include youngsters and the elderly. Rapid and accurate analysis is crucial for powerful remedy and the prevention ...
Air Pollution or Gases Behind Toxicity for People Awareness

Ferdous, Munira; Mojumdar, Mayen Uddin; Chakraborty, Narayan Ranjan; Bhuiyan, Touhid (Scopus, 2024)

A report by world quality showed Bangladesh was ranked the second most air polluted country in 2019. The PM2.5 intensity on typical was 83.3 µg per cubic meter. Forests and trees are being cut down for creating buildings. ...
AI-Powered Approaches to Unmasking Fake News: A Simple Comparison of ML and DL Techniques

Bormon, Sajib; Prova, Jebin Ahmed; Ahmad, MD Hasan; Rimon, Rimon; Sohag, Sohanur Rahman; Shishir, Hasanur Rahman (Scopus, 2024)

False news spreads quickly due to the extensive distribution of incorrect or misleading information across digital channels, which is a global problem. This bias undermines the credibility of information, promotes the ...
Predictive modeling for breast cancer classification in the context of Bangladeshi patients by use of machine learning approach with explainable AI

Islam, Taminul; Sheakh, Md. Alif; Tahosin, Mst. Sazia; Hena, Most. Hasna; Akash, Shopnil; Jardan, Yousef A. Bin; Wondmie, Gezahign Fentahun; Nafidi, Hiba-Allah; Bourhia, Mohammed (Scopus, 2024)

Breast cancer has rapidly increased in prevalence in recent years, making it one of the leading causes of mortality worldwide. Among all cancers, it is by far the most common. Diagnosing this illness manually requires ...
GDRNet: A Novel Graph Neural Network Architecture for Diabetic Retinopathy Detection

Hossain, Shahed; Hasan, Md. Zahid; Jim, Risul Islam; Bulbul, Abdullah Al-Mamun; Khan, Risala Tasin; Kaise, M. Shamim; Ali Moni, Mohammad (2024-01-24)

Diabetic retinopathy is a significant cause of global blindness, requiring practical early detection approaches that could save vision loss in millions of people. However, manual DR analysis is time-consuming and requires ...
Symmetrically structured epsilon negative metamaterial for antenna gain enhancement

Moniruzzaman, Md.; Mobarak, Mahjabin; Alqahtani, Abdulrahman; Rahman, Tawfikur; Islam, Mohammad Tariqul; Samsuzzaman, Md (Scopus, 2024-02)

An epsilon negative metamaterial (MTM) is presented in this article that bears a symmetrical structure and shows a transmission coefficient (S21) resonance at 2.78 GHz. The proposed MTM unit cell comprises an outer square ...
Observations on big data concerning storage and security management

Hasan, Mohammad Manzurul; Ali, Shaulin; Mahmood, Faisal Wazed; Hossain, Shahadat; Rahman, Mohammad Mahmudur; Barid, Mimun (2024-02-08)

Due to the exponential rate of expanding data, the interest in big data terminology is growing in both logical and physical disciplines for its potential efficacy. The Internet of Things (IoT) and cloud computing hold ...

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