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of 12 613
pro vyhledávání: '"Miah OF"'
We present experimental evidence of orbital Hall torque and unidirectional magnetoresistance (UMR), arising from the orbital Hall effect generated by the transverse flow of orbital angular momentum in light metals under an applied electric current. T
Externí odkaz:
http://arxiv.org/abs/2411.08346
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
Autor:
Miah, Abdullah Arafat, Bi, Yu
Deep neural networks (DNNs) have long been recognized as vulnerable to backdoor attacks. By providing poisoned training data in the fine-tuning process, the attacker can implant a backdoor into the victim model. This enables input samples meeting spe
Externí odkaz:
http://arxiv.org/abs/2409.01952
Backdoor attacks pose a significant threat when using third-party data for deep learning development. In these attacks, data can be manipulated to cause a trained model to behave improperly when a specific trigger pattern is applied, providing the ad
Externí odkaz:
http://arxiv.org/abs/2409.02251
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
Autor:
Haque, Farhanul, Al-Hasan, Md., Mou, Sumaiya Tabssum, Miah, Abu Saleh Musa, Shin, Jungpil, Rahim, Md Abdur
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. However, other languages such as English, Arabic, Turkey, and Chinese c
Externí odkaz:
http://arxiv.org/abs/2408.10955