• A Machine Learning Based Approach to Classify Tense from English Text 

  Ayman, Umme; Islam, Md. Shafiqul; Rahat, Md. Azmain Mahtab; Raza, Dewan Mamun; Chakraborty, Narayan Ranjan; Bijoy, Md. Hasan Imam (Scopus, 2024-12-19)

  This paper investigates the classification of tense in English text using machine learning algorithms. Support Vector Machine (SVM), Random Forest (RF), Multinomial Naive Bayes (MNB), Decision Tree (DT), XGBoost, and ...
• 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 ...
• ALPR: ResNet50 powered Bangla License Plate Detectionand OCR by Root Mean Square Propagation Optimizer and Linear SVM Classifier 

  Chowdhury, Abdulla Nasir; Summit, Samya Pal; Laskar, Md. Fuad Ahmed; Chowdhury, Gulam Mahfuz; Chowdhury, Ishmam Ahmed; Hasan, Mehedi (Scopus, 2024-06-10)

  This paper implements the MATLAB Image Processing Toolbox in detecting the license plate region using several user-defined functions in order to pre-process and process the image up until the point of extraction of characters. ...
• NewsNet: A Comprehensive Neural Network Hybrid Model for Efficient Bangla News Categorization 

  Rana, Shakil; Haque, Md. Injamul; Sultana, Naznin; Amid, Abdul Fattah; Hosen, Md Jabed; Islam, Saiful (2024-11-04)

  Through the internet, Bangla news has grown enormously within the modern era of digital information. Every news outlet came up with its own categorizing system in order to handle such a huge quantity of content. The ...
• The crucial role of the cerebellum in autism spectrum disorder: Neuroimaging, neurobiological, and anatomical insights 

  Biswas, Mohammad Shahangir; Roy, Suronjit Kumar; Hasan, Rubait; Uddin, Md Moyen (Scopus, 2024-07-03)

  Background and Aims Autism spectrum disorder (ASD) is a complex neurodevelopmental condition characterized by a wide range of symptoms and challenges. While ASD is primarily associated with atypical social and communicative ...
• 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 ...
• 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 ...
• A Fuzzy-Based Vision Transformer Model for Tea Leaf Disease Detection 

  Ahmed, Faruk; Emon, Yousuf Rayhan; Ahad, Md. Taimur; Munna, Mehedi Hasan; Mamun, Sajib Bin (Scopus, 2024-06-14)

  Recently, vision transformer has gained significant attention in the field of precision agriculture for its ability to transfer knowledge from pre-trained deep models. However, very small studies shed light on the capabilities ...
• 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 ...
• 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 ...
• 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 ...
• 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 ...

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