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of 2 738
pro vyhledávání: '"A. Abu-Saleh"'
Knee osteoporosis weakens the bone tissue in the knee joint, increasing fracture risk. Early detection through X-ray images enables timely intervention and improved patient outcomes. While some researchers have focused on diagnosing knee osteoporosis
Externí odkaz:
http://arxiv.org/abs/2412.09330
Autor:
Haque, Mahfuzul, Miah, Abu Saleh Musa, Gupta, Debashish, Prince, Md. Maruf Al Hossain, Alam, Tanzina, Sharmin, Nusrat, Ali, Mohammed Sowket, Shin, Jungpil
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 Health Organization (WHO), non-communicable diseases, including heart di
Externí odkaz:
http://arxiv.org/abs/2412.04792
Post-traumatic stress disorder (PTSD) is a significant mental health challenge that affects individuals exposed to traumatic events. Early detection and effective intervention for PTSD are crucial, as it can lead to long-term psychological distress i
Externí odkaz:
http://arxiv.org/abs/2411.10661
Autor:
Miah, Abu Saleh Musa, Tusher, Md Mahbubur Rahman, Hossain, Md. Moazzem, Hossain, Md Mamun, Rahim, Md Abdur, Hamid, Md Ekramul, Islam, Md. Saiful, Shin, Jungpil
In recent years, advanced artificial intelligence technologies, such as ChatGPT, have significantly impacted various fields, including education and research. Developed by OpenAI, ChatGPT is a powerful language model that presents numerous opportunit
Externí odkaz:
http://arxiv.org/abs/2411.02816
Autor:
Hasan, Mahamudul, Prince, Md Maruf Al Hossain, Ansari, Mohammad Samar, Jahan, Sabrina, Miah, Abu Saleh Musa, Shin, Jungpil
Fire hazards are extremely dangerous, particularly in sectors such as the transportation industry, where political unrest increases the likelihood of their occurrence. By employing IP cameras to facilitate the setup of fire detection systems on trans
Externí odkaz:
http://arxiv.org/abs/2409.20384
Autor:
Kaneko, Yuta, Miah, Abu Saleh Musa, Hassan, Najmul, Lee, Hyoun-Sup, Jang, Si-Woong, Shin, Jungpil
Weakly supervised video anomaly detection (WS-VAD) is a crucial area in computer vision for developing intelligent surveillance systems. This system uses three feature streams: RGB video, optical flow, and audio signals, where each stream extracts co
Externí odkaz:
http://arxiv.org/abs/2409.11223
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 range of applications. HAR can leverage various data modalities, such
Externí odkaz:
http://arxiv.org/abs/2409.09678
Autor:
Miah, Abu Saleh Musa, Hasan, Md. Al Mehedi, Hadiuzzaman, Md, Islam, Muhammad Nazrul, Shin, Jungpil
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 years, many researchers have widely explored and studied how to address
Externí odkaz:
http://arxiv.org/abs/2408.14111
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 presents a novel methodology for classifying hand gestures using EMG s
Externí odkaz:
http://arxiv.org/abs/2408.13723
Autor:
Shin, Jungpil, Miah, Abu Saleh Musa, Egawa1, Rei, Hirooka, Koki, Hasan, Md. Al Mehedi, Tomioka, Yoichi, Hwang, Yong Seok
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 incidence of falls among the elderly, coupled with the urgent need to prevent
Externí odkaz:
http://arxiv.org/abs/2408.12211