Zobrazeno 1 - 10
of 226
pro vyhledávání: '"Muhammad E H, Chowdhury"'
Autor:
Md. Sohanur Rahman, Khandaker Reajul Islam, Johayra Prithula, Jaya Kumar, Mufti Mahmud, Mohammed Fasihul Alam, Mamun Bin Ibne Reaz, Abdulrahman Alqahtani, Muhammad E. H. Chowdhury
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 24, Iss 1, Pp 1-26 (2024)
Abstract Background Sepsis poses a critical threat to hospitalized patients, particularly those in the Intensive Care Unit (ICU). Rapid identification of Sepsis is crucial for improving survival rates. Machine learning techniques offer advantages ove
Externí odkaz:
https://doaj.org/article/14efc041e39a446190c9720da757a03a
Autor:
Johayra Prithula, Muhammad E. H. Chowdhury, Muhammad Salman Khan, Khalid Al-Ansari, Susu M. Zughaier, Khandaker Reajul Islam, Abdulrahman Alqahtani
Publikováno v:
Respiratory Research, Vol 25, Iss 1, Pp 1-16 (2024)
Abstract The growing concern of pediatric mortality demands heightened preparedness in clinical settings, especially within intensive care units (ICUs). As respiratory-related admissions account for a substantial portion of pediatric illnesses, there
Externí odkaz:
https://doaj.org/article/edf5250cc913443db322d501029d3307
Autor:
Md. Faysal Ahamed, Md. Rabiul Islam, Md. Nahiduzzaman, Muhammad E. H. Chowdhury, Abdulrahman Alqahtani, M. Murugappan
Publikováno v:
Human-Centric Intelligent Systems, Vol 4, Iss 2, Pp 299-315 (2024)
Abstract The early detection of colorectal polyps is crucial for the reduction of mortality rates. However, manually identifying polyps is time-consuming and expensive, increasing the risk of missing them. Our paper aims to address this issue by pres
Externí odkaz:
https://doaj.org/article/54d78b4f5b244acd8d0caca64ffde329
Autor:
M. Nithya Mylakumar, B. Geethanjali, Jagannath Mohan, Raamanarayanan AnanthaNarayanan, M. Murugappan, Muhammad E. H. Chowdhury
Publikováno v:
IEEE Access, Vol 12, Pp 143823-143841 (2024)
Anxiety disorder affects 264 million people worldwide. According to the Anxiety and Depression Association of America, 31% of the population experiences anxiety problems at some point in time. There are more than 18% of people with anxiety disorder i
Externí odkaz:
https://doaj.org/article/5958720681d34814bc27c655f57117b2
Publikováno v:
IEEE Access, Vol 12, Pp 119015-119038 (2024)
Automatic speech recognition (ASR) plays a pivotal role in our daily lives, offering utility not only for interacting with machines but also for facilitating communication for individuals with partial or profound hearing impairments. The process invo
Externí odkaz:
https://doaj.org/article/e074eab643e0468d830665a12cb513e5
Autor:
Iqbal Hassan, Monica Zolezzi, Hanan Khalil, Rafif Mahmood Al Saady, Shona Pedersen, Muhammad E. H. Chowdhury
Publikováno v:
IEEE Access, Vol 12, Pp 118785-118801 (2024)
The increasing prevalence of non-invasive, portable Electroencephalography (EEG) sensors for neuro-physiological measurements has propelled EEG-based assessments of cognitive load (CL) into the spotlight. In this study, we harnessed the capabilities
Externí odkaz:
https://doaj.org/article/f0f50a41651141afbc1a670189c13e27
Autor:
Zakaria Shams Siam, Rubyat Tasnuva Hasan, Moajjem Hossain Chowdhury, Md. Shaheenur Islam Sumon, Mamun Bin Ibne Reaz, Sawal Hamid Bin Md Ali, Adam Mushtak, Israa Al-Hashimi, Sohaib Bassam Zoghoul, Muhammad E. H. Chowdhury
Publikováno v:
IEEE Access, Vol 12, Pp 116498-116515 (2024)
Brain magnetic resonance imaging (MRI) offers intricate soft tissue contrasts that are essential for diagnosing diseases and conducting neuroscience research. At 7 Tesla (7T) magnetic field intensity, MRI enables increased resolution, enhanced tissue
Externí odkaz:
https://doaj.org/article/d3c501b124d54a7abe7ac30c7eedf970
Autor:
Abdus Salam, Mansura Naznine, Nusrat Jahan, Emama Nahid, Md Nahiduzzaman, Muhammad E. H. Chowdhury
Publikováno v:
IEEE Access, Vol 12, Pp 83575-83588 (2024)
Mulberry leaves serve as the primary food source for Bombyx mori silkworms, crucial for silk thread production. However, mulberry trees are highly susceptible to diseases, spreading rapidly and causing significant losses. Manual disease identificatio
Externí odkaz:
https://doaj.org/article/1ab1bda38f6c4319ba09c7fccde67b5d
Autor:
Md Nazmul Islam Shuzan, Moajjem Hossain Chowdhury, Muhammad E. H. Chowdhury, Khalid Abualsaud, Elias Yaacoub, Md Ahasan Atick Faisal, Mazun Alshahwani, Noora Al Bordeni, Fatima Al-Kaabi, Sara Al-Mohannadi, Sakib Mahmud, Nizar Zorba
Publikováno v:
IEEE Access, Vol 12, Pp 77774-77790 (2024)
Patients with hyperglycemia require routine glucose monitoring to effectively treat their condition. We have developed a lightweight wristband device to capture Photoplethysmography (PPG) signals. We collected PPG signals, demographic information, an
Externí odkaz:
https://doaj.org/article/a0ef36cfa888475cb4b62ce27a70dedc
Autor:
Shahd Sameer Mohammed Gaben, Nada Abughanam, Nabil Ibtehaz, Sakib Mahmud, Ghada Al Noaimi, Abdulrahman Alqahtani, Amith Khandakar, Muhammad E. H. Chowdhury
Publikováno v:
IEEE Access, Vol 12, Pp 61828-61847 (2024)
The emergence of COVID-19 resulted in significant shortages of mechanical ventilators globally. This prompted investigations into developing new, cost-effective methods for producing ventilators. Different types of ventilators, such as positive press
Externí odkaz:
https://doaj.org/article/1280935664d0472fb804e71136f827bd