Zobrazeno 1 - 10
of 291
pro vyhledávání: '"Reaz Mamun Bin Ibne"'
Autor:
Minhad Khairun Nisa’, Farayez Araf, Reaz Mamun Bin Ibne, Bhuiyan Mohammad Arif Sobhan, Samdin Siti Balqis, Miraz Mahdi H.
Publikováno v:
Measurement Science Review, Vol 23, Iss 2, Pp 86-91 (2023)
Dementia is not a specific disease, but a general term for age-related decline or loss of memory, cognitive abilities including problem solving and decision-making, and one’s own language, which significantly interfere with daily life. Researchers
Externí odkaz:
https://doaj.org/article/7d3c9cb602674e6fa08f010c84f84441
Context: The advent of Large Language Model-driven tools like ChatGPT offers software engineers an interactive alternative to community question-answering (CQA) platforms like Stack Overflow. While Stack Overflow provides benefits from the accumulate
Externí odkaz:
http://arxiv.org/abs/2409.17473
Autor:
Islam, Md. Johirul, Rumman, Umme, Ferdousi, Arifa, Pervez, Md. Sarwar, Ara, Iffat, Ahmad, Shamim, Haque, Fahmida, Hamid, Sawal, Ali, Md., Zaman, Kh Shahriya, Reaz, Mamun Bin Ibne, Chowdhury, Mustafa Habib, Islam, Md. Rezaul
Objective: Variation of forearm orientation is one of the crucial factors that drastically degrades the forearm orientation invariant hand gesture recognition performance or the degree of freedom and limits the successful commercialization of myoelec
Externí odkaz:
http://arxiv.org/abs/2410.00029
Autor:
Rumman, Umme, Ferdousi, Arifa, Saha, Bipin, Hossain, Md. Sazzad, Islam, Md. Johirul, Ahmad, Shamim, Reaz, Mamun Bin Ibne, Islam, Md. Rezaul
Surface electromyography (sEMG) signals hold significant potential for gesture recognition and robust prosthetic hand development. However, sEMG signals are affected by various physiological and dynamic factors, including forearm orientation, electro
Externí odkaz:
http://arxiv.org/abs/2409.07484
Autor:
Saha, Bipin, Islam, Md. Johirul, Mostaque, Shaikh Khaled, Bhowmik, Aditya, Taton, Tapodhir Karmakar, Chowdhury, Md. Nakib Hayat, Reaz, Mamun Bin Ibne
The success of autonomous navigation relies on robust and precise vehicle recognition, hindered by the scarcity of region-specific vehicle detection datasets, impeding the development of context-aware systems. To advance terrestrial object detection
Externí odkaz:
http://arxiv.org/abs/2405.12150
Autor:
Hemel, Md. Shahriar Khan, Reaz, Mamun Bin Ibne, Ali, Sawal Hamid Bin Md, Bhuiyan, Mohammad Arif Sobhan, Miraz, Mahdi H.
Publikováno v:
Annals of Emerging Technologies in Computing (AETiC), Print ISSN: 2516-0281, Online ISSN: 2516-029X, pp. 13-21, Vol. 8, No. 1, 1st January 2024, Available: http://aetic.theiaer.org/archive/v8/v8n1/p1.html
The Internet of Things (IoT) is pivotal in transforming the way we live and interact with our surroundings. To cope with the advancement in technologies, it is vital to acquire accuracy with the speed. A phase frequency detector (PFD) is a critical d
Externí odkaz:
http://arxiv.org/abs/2401.03389
Autor:
Mahmud, Sakib, Khandakar, Amith, Chowdhury, Muhammad E. H., AbdulMoniem, Mohammed, Reaz, Mamun Bin Ibne, Mahbub, Zaid Bin, Sadasivuni, Kishor Kumar, Murugappan, M, Alhatou, Mohammed
Various foot complications can be easily avoided by continuous monitoring of foot plantar temperature and pressure. In this work, the design, characterization, and implementation of a Fiber Bragg Gratings (FBG) based smart insole capable of simultane
Externí odkaz:
http://arxiv.org/abs/2208.12201
Autor:
Khandakar, Amith, Mahmud, Sakib, Chowdhury, Muhammad E. H., Reaz, Mamun Bin Ibne, Kiranyaz, Serkan, Mahbub, Zaid Bin, Ali, Sawal Hamid Md, Bakar, Ahmad Ashrif A, Alhatou, Mohammed, AbdulMoniem, Mohammed
A complete smart insole solution that continuously monitors the foot plantar pressure and temperature can detect foot complications early and that too from the convenience of the user home. Widespread health complications such as Diabetic Mellitus ne
Externí odkaz:
http://arxiv.org/abs/2206.07779
Autor:
Haque, Fahmida, Reaz, Mamun Bin Ibne, Chowdhury, Muhammad Enamul Hoque, Kiranyaz, Serkan, Abdelmoniem, Mohamed, Hussein, Emadeddin, Shaat, Mohammed, Ali, Sawal Hamid Md, Bakar, Ahmad Ashrif A, Srivastava, Geetika, Bhuiyan, Mohammad Arif Sobhan, Mokhtar, Mohd Hadri Hafiz, Kurniawan, Edi
Diabetic sensorimotor polyneuropathy (DSPN) is one of the prevalent forms of neuropathy affected by diabetic patients that involves alterations in biomechanical changes in human gait. In literature, for the last 50 years, researchers are trying to ob
Externí odkaz:
http://arxiv.org/abs/2205.10581
Autor:
Hossain, Md Shafayet, Chowdhury, Muhammad E. H., Reaz, Mamun Bin Ibne, Ali, Sawal H. M., Bakar, Ahmad Ashrif A., Kiranyaz, Serkan, Khandakar, Amith, Alhatou, Mohammed, Habib, Rumana, Hossain, Muhammad Maqsud
The electroencephalogram (EEG) and functional near-infrared spectroscopy (fNIRS) signals, highly non-stationary in nature, greatly suffers from motion artifacts while recorded using wearable sensors. This paper proposes two robust methods: i) Wavelet
Externí odkaz:
http://arxiv.org/abs/2204.04533