• 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 Study on Drug Addiction Prediction in Bangladeshi Universities Using Advanced Machine Learning Algorithms 

  Ray, Binota; Ayman, Umme; Akash, Md Atik Asif Khan; Khan, Nusrat; Chakraborty, Narayan Ranjan; Bijoy, Md. Hasan Imam (Scopus, 2024-12-19)

  Infection by alcohol and drugs has become one of the bigger dangers posed to the youth of Bangladesh, and responsible action on the part of society is called for in order to save these tender minds. In a bid to solve this ...
• A Study of Machine Learning Techniques for Predictive Analysis of Suicidal Tendency Across Different Age Groups 

  Zumma, Md. Thoufiq; Rahaman, Md. Anikur; Muneem, Mohammad Abdul; Khan, Obyed Ullah; Prova, Nuzhat Noor Islam (Scopus, 2024-12-03)

  Suicide is a serious public health concern, and life-saving early identification and prevention are essential. When it comes to forecasting suicide, risk based on a variety of criteria and signs, machine learning algorithms ...
• 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 ...
• 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 ...
• Predicting Pancreatic Cancer Survival and Staging: A Machine Learning Approach 

  Hasan, Md Umaid; Khan, Faria Nishat; Jahan, Hasnur; Zaman, Zahura; Mizanur Rahman, Md (2024-12-19)

  Pancreatic cancer, it is known as one of the most aggressive one among cancers due to its sudden progression and hard to treat manner. The insidious characteristic of pancreatic cancer is known to be the main reason behind ...
• Predicting High Volatility Cryptocurrency Prices using Deep Learning 

  Ito, Tsutomu; Ikeda, Satoshi; Takei, Amane; Sakamoto, Makoto; Riajuliislam, Md; Shital, Sabrina Bari; Ito, Takao (2024-02-12)

  Even if you want to make a profit from cryptocurrency, you are worried that you will lose money, and it is difficult to afford it. There are a vast number of papers that study such unpredictable price fluctuations of ...
• Predicting Diabetes in Women through Machine Learning 

  Hasan, Rakib; Islam, Muksitul; Hosen, Md. Mamun; Abdullah-Al-Kafi, Md; Radhakrishnan, Niranchana (2024-03-01)

  Diabetes, a predominant non-communicable illness, presents a significant worldwide open well-being concern with rising incidence rates and noteworthy mortality around the world. Timely determination is essential in moderating ...
• Peripheral Blood Smear Image-Based Blood Cancer Detection Using Transfer Learning 

  Shaha, Sonjoy Prosad; Datta, Sajeeb; Mahmud, Md. Nadim; Ahmad, Md. Hassan; Tuj Johora, Fatema; Rahman, Md. Atiqur (2024-03-30)

  The lymphatic, bone marrow, and blood systems are all affected by hematological malignancy, also known as blood cancer. Early detection is essential for improved blood medical care and better patient outcomes. In the recent ...
• Performance Evaluation of YOLO Models for Detecting Bangladeshi License Plates 

  Ramit, Shahriar Sultan; Alo, Alaya Parvin; Shaqib, Sm; Khan, Sadman Sadik; Rupak, Afraz Ul Haque; Rahman, Md. Sadekur (2024-10-04)

  This research paper presents a comprehensive investigation into the effectiveness of YOLO (You Only Look Once) models, namely YOLOv5, YOLOv7, and YOLOv8, in the domain of Bangladeshi license plate detection. With the ...
• Performance Analysis of LSTM and Bi-LSTM Model with Different Optimizers in Bangla Sentiment Analysis 

  Khan, Sadman Sadik; Mondal, Pronoy Kumar; Shaqib, Sm; Ahmed, Nayeem; Prova, Nuzhat Noor Islam; Sattar, Abdus (2024-11-04)

  Sentiment analysis, the computational study of opinions, emotions, and attitudes expressed in text, has become increasingly vital in understanding public perception across various domains. In the context of Bangla, a ...
• 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 ...
• PAKE – PoS Tagger Augmented Keyword Extraction 

  Kohinoor, Md Saidur Rahman; Miah, Ayesha Loylus; Ali, Shah Fayez; Hossain, Md Sabir; Bijoy, Md. Hasan Imam; Sakib, Shadman (2024-12-19)

  The state-of-the-art techniques for automatic keyword extraction majorly deal with the collection of long documents. However, for several reasons, these do not provide satisfactory results for shorter lengths of documents. ...
• Optimizing Vehicle Insurance Processing through Advanced Deep Learning Models 

  Khan, Sadman Sadik; Rupak, Afraz Ul Haque; Sadekur Rahman, Md. (2024-11-04)

  This paper presents a novel method for predicting insurance claims by utilizing artificial intelligence, specifically a deep learning model within the Convolutional Neural Network (CNN) framework. The purpose is to automate ...
• Optimizing Cervical Cancer Prediction, Harnessing the Power of Machine Learning for Early Diagnosis 

  Hasan, Mahadi; Islam, Jahirul; Al Mamun, Miraz; Mim, Afrin Akter; Sultana, Sharmin; Sabuj, Md Sanowar Hossain (2024-07-10)

  Cervical cancer is one of the most widespread ovarian cancers in the world. It is linked up with multiple risk factors such as Sexually transmitted diseases, human papillomavirus and smoking. Death rate can be reduced if ...
• Optimising e-Learning: Embracing Webex in Malaysian Universities for smarter campus learning 

  Shen Po, Tan Henna; Ling, Tan Cheng; Fern, Yeo Sook (2024-07-04)

  The recent pandemic has forced Malaysian universities to implement technological e-learning platforms to replace the physical classroom, encouraging a growing spur of online learning users. Webex by Cisco’s market share ...
• OS18-7 U-Reserve: Development of a Facility Reservation System for UCSI University 

  Lynn, Esther Chong Jun; Jothi, Neesha; Ahmed, Ismail; Fern, Yeo Sook (Scopus, 2024-02-22)

  : In today's technology-driven era, there is an increasing emphasis on efficient and user-friendly methods to elevate user satisfaction. UCSI University, Kuala Lumpur, currently relies on a manual facility reservation ...
• Optimization of Liver RNA-Seq Analysis through HRNet: Bridging Computational Techniques and Biological Understanding 

  Ahammad, Mejbah; Zaman, Nourin; Tenis, Rishan Hasan; Al Mamun Sakib, Abdullah; Niger, Tasnim; Mama, Tithee Chakma (2025-06-10)

  In the digital era, the rapid proliferation of RNA sequencing (RNA-Seq) has uncovered vast datasets, particularly in liver-specific gene expression, yet the complexity of such high-dimensional data often obscures actionable ...

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