65 citations · 86 across the 19 of their papers we have counts for
21 papers
Critical Thinking in the Age of Artificial Intelligence: A Survey-Based Study with Machine Learning Insights
M Murshidul Bari, Akif Islam, Mohd Ruhul Ameen +2
The growing use of artificial intelligence (AI) in education, professional work, and everyday problem-solving has raised important questions about its effect on human reasoning. Wh…
A Methodological and Structural Review of Parkinsons Disease Detection Across Diverse Data Modalities
Abu Saleh Musa Miah, taro Suzuki, Jungpil Shin
Parkinsons Disease (PD) is a progressive neurological disorder that primarily affects motor functions and can lead to mild cognitive impairment (MCI) and dementia in its advanced s…
Classification of ADHD and Healthy Children Using EEG Based Multi-Band Spatial Features Enhancement
Md Bayazid Hossain, Md Anwarul Islam Himel, Md Abdur Rahim +3
Attention Deficit Hyperactivity Disorder (ADHD) is a common neurodevelopmental disorder in children, characterized by difficulties in attention, hyperactivity, and impulsivity. Ear…
Electromyography-Based Gesture Recognition: Hierarchical Feature Extraction for Enhanced Spatial-Temporal Dynamics
Jungpil Shin, Abu Saleh Musa Miah, Sota Konnai +2
Hand gesture recognition using multichannel surface electromyography (sEMG) is challenging due to unstable predictions and inefficient time-varying feature enhancement. To overcome…
Stack Transformer Based Spatial-Temporal Attention Model for Dynamic Sign Language and Fingerspelling Recognition
Koki Hirooka, Abu Saleh Musa Miah, Tatsuya Murakami +3
Hand gesture-based Sign Language Recognition (SLR) serves as a crucial communication bridge between deaf and non-deaf individuals. While Graph Convolutional Networks (GCNs) are com…
IoT-Based Real-Time Medical-Related Human Activity Recognition Using Skeletons and Multi-Stage Deep Learning for Healthcare
Subrata Kumer Paul, Abu Saleh Musa Miah, Rakhi Rani Paul +3
The Internet of Things (IoT) and mobile technology have significantly transformed healthcare by enabling real-time monitoring and diagnosis of patients. Recognizing medical-related…
Machine Learning-Based Differential Diagnosis of Parkinson's Disease Using Kinematic Feature Extraction and Selection
Masahiro Matsumoto, Abu Saleh Musa Miah, Nobuyoshi Asai +1
Parkinson's disease (PD), the second most common neurodegenerative disorder, is characterized by dopaminergic neuron loss and the accumulation of abnormal synuclein. PD presents bo…
Parkinson Disease Detection Based on In-air Dynamics Feature Extraction and Selection Using Machine Learning
Jungpil Shin, Abu Saleh Musa Miah, Koki Hirooka +2
Parkinson's disease (PD) is a progressive neurological disorder that impairs movement control, leading to symptoms such as tremors, stiffness, and bradykinesia. Many researchers an…
Multi-class heart disease Detection, Classification, and Prediction using Machine Learning Models
Mahfuzul Haque, Abu Saleh Musa Miah, Debashish Gupta +5
Heart disease is a leading cause of premature death worldwide, particularly among middle-aged and older adults, with men experiencing a higher prevalence. According to the World He…
Enhancing PTSD Outcome Prediction with Ensemble Models in Disaster Contexts
Ayesha Siddiqua, Atib Mohammad Oni, Abu Saleh Musa Miah +1
Post-traumatic stress disorder (PTSD) is a significant mental health challenge that affects individuals exposed to traumatic events. Early detection and effective intervention for…
ChatGPT in Research and Education: Exploring Benefits and Threats
Abu Saleh Musa Miah, Md Mahbubur Rahman Tusher, Md. Moazzem Hossain +5
In recent years, advanced artificial intelligence technologies, such as ChatGPT, have significantly impacted various fields, including education and research. Developed by OpenAI,…
FireLite: Leveraging Transfer Learning for Efficient Fire Detection in Resource-Constrained Environments
Mahamudul Hasan, Md Maruf Al Hossain Prince, Mohammad Samar Ansari +3
Fire hazards are extremely dangerous, particularly in sectors such as the transportation industry, where political unrest increases the likelihood of their occurrence. By employing…
A Comprehensive Methodological Survey of Human Activity Recognition Across Divers Data Modalities
Jungpil Shin, Najmul Hassan, Abu Saleh Musa Miah1 +1
Human Activity Recognition (HAR) systems aim to understand human behaviour and assign a label to each action, attracting significant attention in computer vision due to their wide…
Bengali Sign Language Recognition through Hand Pose Estimation using Multi-Branch Spatial-Temporal Attention Model
Abu Saleh Musa Miah, Md. Al Mehedi Hasan, Md Hadiuzzaman +2
Hand gesture-based sign language recognition (SLR) is one of the most advanced applications of machine learning, and computer vision uses hand gestures. Although, in the past few y…
EMG-Based Hand Gesture Recognition through Diverse Domain Feature Enhancement and Machine Learning-Based Approach
Abu Saleh Musa Miah, Najmul Hassan, Md. Maniruzzaman +2
Surface electromyography (EMG) serves as a pivotal tool in hand gesture recognition and human-computer interaction, offering a non-invasive means of signal acquisition. This study…
Computer-Aided Fall Recognition Using a Three-Stream Spatial-Temporal GCN Model with Adaptive Feature Aggregation
Jungpil Shin, Abu Saleh Musa Miah, Rei Egawa1 +4
The prevention of falls is paramount in modern healthcare, particularly for the elderly, as falls can lead to severe injuries or even fatalities. Additionally, the growing incidenc…
Multichannel Attention Networks with Ensembled Transfer Learning to Recognize Bangla Handwritten Charecter
Farhanul Haque, Md. Al-Hasan, Sumaiya Tabssum Mou +3
The Bengali language is the 5th most spoken native and 7th most spoken language in the world, and Bengali handwritten character recognition has attracted researchers for decades. H…
BAUST Lipi: A BdSL Dataset with Deep Learning Based Bangla Sign Language Recognition
Md Hadiuzzaman, Mohammed Sowket Ali, Tamanna Sultana +3
People commonly communicate in English, Arabic, and Bengali spoken languages through various mediums. However, deaf and hard-of-hearing individuals primarily use body language and…
Cervical Cancer Detection Using Multi-Branch Deep Learning Model
Tatsuhiro Baba, Abu Saleh Musa Miah, Jungpil Shin +1
Cervical cancer is a crucial global health concern for women, and the persistent infection of High-risk HPV mainly triggers this remains a global health challenge, with young women…
An Advanced Deep Learning Based Three-Stream Hybrid Model for Dynamic Hand Gesture Recognition
Md Abdur Rahim, Abu Saleh Musa Miah, Hemel Sharker Akash +3
In the modern context, hand gesture recognition has emerged as a focal point. This is due to its wide range of applications, which include comprehending sign language, factories, h…
A Methodological and Structural Review of Hand Gesture Recognition Across Diverse Data Modalities
Jungpil Shin, Abu Saleh Musa Miah, Md. Humaun Kabir +2
Researchers have been developing Hand Gesture Recognition (HGR) systems to enhance natural, efficient, and authentic human-computer interaction, especially benefiting those who rel…