Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Alamin Talukder"'
Autor:
Md. Ashraf Uddin, Sunil Aryal, Mohamed Reda Bouadjenek, Muna Al-Hawawreh, Md. Alamin Talukder
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-25 (2024)
Abstract The rapid expansion of varied network systems, including the Internet of Things (IoT) and the Industrial Internet of Things (IIoT), has led to an increasing range of cyber threats. Ensuring robust protection against these threats necessitate
Externí odkaz:
https://doaj.org/article/4ebe2228ac6e41db84b9ad713f93db0b
Publikováno v:
Journal of Big Data, Vol 11, Iss 1, Pp 1-25 (2024)
Abstract Fraudulent transactions continue to pose a concern for financial institutions and organizations, necessitating the development of effective detection tools. Identification and prevention of fraudulent transactions depend heavily on the detec
Externí odkaz:
https://doaj.org/article/e0c9809422984fb38746972cd0a5f339
Autor:
Md. Alamin Talukder, Rakib Hossen, Md Ashraf Uddin, Mohammed Nasir Uddin, Uzzal Kumar Acharjee
Publikováno v:
Cybersecurity, Vol 7, Iss 1, Pp 1-16 (2024)
Abstract Financial institutions and businesses face an ongoing challenge from fraudulent transactions, prompting the need for effective detection methods. Detecting credit card fraud is crucial for identifying and preventing unauthorized transactions
Externí odkaz:
https://doaj.org/article/2a0b5858b25d47509c72441c284f3a88
Autor:
Abanti Bhattacharjya, Md Manowarul Islam, Md Ashraf Uddin, Md Alamin Talukder, AKM Azad, Sunil Aryal, Bikash Kumar Paul, Wahia Tasnim, Muhammad Ali Abdulllah Almoyad, Mohammad Ali Moni
Publikováno v:
FEBS Open Bio, Vol 14, Iss 7, Pp 1166-1191 (2024)
Hypopharyngeal cancer is a disease that is associated with EGFR‐mutated lung adenocarcinoma. Here we utilized a bioinformatics approach to identify genetic commonalities between these two diseases. To this end, we examined microarray datasets from
Externí odkaz:
https://doaj.org/article/ff10c7f1ff30402a9c27930ef8ca1fb1
Autor:
Ferdaus Anam Jibon, Alif Tasbir, Md. Alamin Talukder, Md. Ashraf Uddin, Fazla Rabbi, Md. Salam Uddin, Fars K. Alanazi, Mohsin Kazi
Publikováno v:
Digital Health, Vol 10 (2024)
Objective Early detection of Parkinson's disease (PD) is essential for halting its progression, yet challenges remain in leveraging deep learning for accurate identification. This study aims to overcome these obstacles by introducing a hybrid deep le
Externí odkaz:
https://doaj.org/article/11b4878a920c4972b118d9233282c122
Autor:
Sadia Maduri Rasa, Md. Manowarul Islam, Md. Alamin Talukder, Md. Ashraf Uddin, Majdi Khalid, Mohsin Kazi, Md. Zobayer Kazi
Publikováno v:
Digital Health, Vol 10 (2024)
Objective Brain tumors are a leading global cause of mortality, often leading to reduced life expectancy and challenging recovery. Early detection significantly improves survival rates. This paper introduces an efficient deep learning model to expedi
Externí odkaz:
https://doaj.org/article/7db7c209ab8f494ba90a5216ff689a0f
Autor:
Md. Alamin Talukder, Md. Manowarul Islam, Md Ashraf Uddin, Mohsin Kazi, Majdi Khalid, Arnisha Akhter, Mohammad Ali Moni
Publikováno v:
Digital Health, Vol 10 (2024)
Objective Diabetes is a metabolic disorder that causes the risk of stroke, heart disease, kidney failure, and other long-term complications because diabetes generates excess sugar in the blood. Machine learning (ML) models can aid in diagnosing diabe
Externí odkaz:
https://doaj.org/article/9ba2419f5e0e44d5b127c778f8894fa8
Autor:
Md. Alamin Talukder, Md. Manowarul Islam, Md Ashraf Uddin, Khondokar Fida Hasan, Selina Sharmin, Salem A. Alyami, Mohammad Ali Moni
Publikováno v:
Journal of Big Data, Vol 11, Iss 1, Pp 1-44 (2024)
Abstract Cybersecurity has emerged as a critical global concern. Intrusion Detection Systems (IDS) play a critical role in protecting interconnected networks by detecting malicious actors and activities. Machine Learning (ML)-based behavior analysis
Externí odkaz:
https://doaj.org/article/a1d26e2f87894971aa195dabb30b0430
Autor:
Md. Ashraf Uddin, Md. Alamin Talukder, Muhammad Sajib Uzzaman, Chandan Debnath, Moumita Chanda, Souvik Paul, Md. Manowarul Islam, Ansam Khraisat, Ammar Alazab, Sunil Aryal
Publikováno v:
International Journal of Cognitive Computing in Engineering, Vol 5, Iss , Pp 259-268 (2024)
Human activity recognition (HAR) plays a crucial role in assisting the elderly and individuals with vascular dementia by providing support and monitoring for their daily activities. This paper presents a deep learning (DL)-based approach to HAR, leve
Externí odkaz:
https://doaj.org/article/c7992cded3cd4885a865617103179814
Autor:
Wahida Ferdose Urmi, Mohammed Nasir Uddin, Md Ashraf Uddin, Md. Alamin Talukder, Md. Rahat Hasan, Souvik Paul, Moumita Chanda, John Ayoade, Ansam Khraisat, Rakib Hossen, Faisal Imran
Publikováno v:
International Journal of Cognitive Computing in Engineering, Vol 5, Iss , Pp 316-331 (2024)
The exponential growth of data and increased reliance on interconnected systems have heightened the need for robust network security. Cyber-Attack Detection Systems (CADS) are essential for identifying and mitigating threats through network traffic a
Externí odkaz:
https://doaj.org/article/dcde3e5bbd6b4b9cb2a40a55824dbdfd