Zobrazeno 1 - 10
of 236
pro vyhledávání: '"Md. Mehedi Hassan"'
Autor:
Balraj Singh, Alireza Sepahvand, Parveen Sihag, Karan Singh, Chander Prabha, Anindya Nag, Md. Mehedi Hassan, S. Vimal, Dongwann Kang
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract The Water Quality Index (WQI) is widely used as a classification indicator and essential parameter for water resources management projects. WQI combines several physical and chemical parameters into a single metric to measure the status of W
Externí odkaz:
https://doaj.org/article/60c11220ef69423ead9967a977e40944
Autor:
S. Pradeepa, Elizabeth Jomy, S. Vimal, Md. Mehedi Hassan, Gaurav Dhiman, Asif Karim, Dongwann Kang
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract Text classification plays a major role in research such as sentiment analysis, opinion mining, and customer feedback analysis. Text classification using hypergraph algorithms is effective in capturing the intricate relationships between word
Externí odkaz:
https://doaj.org/article/75c4549caf224408941a588047302eb1
Autor:
Sakhshra Monga, Nitin Saluja, Chander Prabha, Roopali Garg, Anupam Kumar Bairagi, Md. Mehedi Hassan
Publikováno v:
IET Wireless Sensor Systems, Vol 14, Iss 4, Pp 144-156 (2024)
Abstract Wireless communication systems are inherently challenged by factors such as fading, path loss, and shadowing, leading to potential errors in data transmission. Traditional methods to mitigate these issues include power control, diversificati
Externí odkaz:
https://doaj.org/article/80eaa0882f22483986e2a30993aa1563
Publikováno v:
Journal of Air Pollution and Health, Vol 9, Iss 3 (2024)
Introduction: The classroom environment is crucial for fostering effective learning and safeguarding teacher-student health. This study assessed the Indoor Air Quality (IAQ) and noise levels in classrooms across three institutions: a university, a se
Externí odkaz:
https://doaj.org/article/6b690988f6244bfbaefcfd18ca4b9d2d
Autor:
Md. Mehedi Hassan, Rezuana Haque, Sheikh Mohammed Shariful Islam, Hossam Meshref, Roobaea Alroobaea, Mehedi Masud, Anupam Kumar Bairagi
Publikováno v:
AIMS Bioengineering, Vol 11, Iss 1, Pp 85-109 (2024)
This study presented a new approach to seizure classification utilizing electroencephalogram (EEG) data. We introduced the NeuroWave-Net, an innovative hybrid model that seamlessly integrates convolutional neural networks (CNN) and long short-term me
Externí odkaz:
https://doaj.org/article/88d3b5b205a044a1ae1b51c2b1109f9e
Autor:
G. Madhukar Rao, Dharavath Ramesh, Vandana Sharma, Anurag Sinha, Md. Mehedi Hassan, Amir H. Gandomi
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-19 (2024)
Abstract Heart disease is a major global cause of mortality and a major public health problem for a large number of individuals. A major issue raised by regular clinical data analysis is the recognition of cardiovascular illnesses, including heart at
Externí odkaz:
https://doaj.org/article/ce37f7fa475c4ce292e5efde4e95dd15
Autor:
Mejbah Ahammad, Al Sani, Khalilur Rahman, Md Tanvir Islam, Md Mostafizur Rahman Masud, Md. Mehedi Hassan, Mohammad Abu Tareq Rony, Shah Md Nazmul Alam, Md. Saddam Hossain Mukta
Publikováno v:
IEEE Access, Vol 12, Pp 132644-132663 (2024)
In this era of widespread information, combating fake news in less commonly represented languages like Bengali is a significant challenge. Fake news is a critical issue in Bangla, a language that a vast population uses but lacks adequate natural lang
Externí odkaz:
https://doaj.org/article/3fa1d0e35833495aa07351119dce96a2
Autor:
Md. Awlad Hossen Rony, Kaniz Fatema, Mohaimenul Azam Khan Raiaan, Md. Mehedi Hassan, Sami Azam, Asif Karim, Mirjam Jonkman, Jemima Beissbarth, Friso De Boer, Sheikh Mohammed Shariful Islam, Amanda Leach
Publikováno v:
IEEE Access, Vol 12, Pp 99282-99307 (2024)
Otitis Media (OM), predominantly affecting children, is a significant global health issue, with an estimated 360 million pediatric cases yearly worldwide. OM causes mild and moderate conductive hearing loss which can be disabling for young children,
Externí odkaz:
https://doaj.org/article/0d1cbe3e445b400dbaac74619c5f1d53
Autor:
Avi Deb Raha, Mrityunjoy Gain, Rameswar Debnath, Apurba Adhikary, Yu Qiao, Md. Mehedi Hassan, Anupam Kumar Bairagi, Sheikh Mohammed Shariful Islam
Publikováno v:
IEEE Access, Vol 12, Pp 51942-51965 (2024)
In the wake of COVID-19, rising monkeypox cases pose a potential pandemic threat. While less severe than COVID-19, its increasing spread underscores the urgency of early detection and isolation to control the disease. The main difficulty in diagnosin
Externí odkaz:
https://doaj.org/article/bef7b273e9114fa895de7b309d6d0882
Autor:
Md. Zahid Hasan, Sidratul Montaha, Inam Ullah Khan, Md. Mehedi Hassan, Abdullah Al Mahmud, A. K. M. Rakibul Haque Rafid, Sami Azam, Asif Karim, Spyridon Prountzos, Efthymia Alexopoulou, Umama Binta Ashraf, Sheikh Mohammed Shariful Islam
Publikováno v:
IEEE Access, Vol 12, Pp 31117-31135 (2024)
A novel automated multi-classification approach is proposed for the anticipation of lung abnormalities using chest X-ray and CT images. The study leverages a publicly accessible dataset with an insufficient and unbalanced number of images, addressing
Externí odkaz:
https://doaj.org/article/a59305e98d5c4b50aef996bbd44a962d