Zobrazeno 1 - 10
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pro vyhledávání: '"Alamin, A"'
Skin cancer is a serious and potentially fatal disease caused by DNA damage. Early detection significantly increases survival rates, making accurate diagnosis crucial. In this groundbreaking study, we present a hybrid framework based on Deep Learning
Externí odkaz:
http://arxiv.org/abs/2410.14489
Acute lymphoblastic leukaemia (ALL) is a blood malignancy that mainly affects adults and children. This study looks into the use of deep learning, specifically Convolutional Neural Networks (CNNs), for the detection and classification of ALL. Convent
Externí odkaz:
http://arxiv.org/abs/2409.06687
This research introduces an advanced method for diagnosing diseases in sweet orange leaves by utilising advanced artificial intelligence models like YOLOv8 . Due to their significance as a vital agricultural product, sweet oranges encounter significa
Externí odkaz:
http://arxiv.org/abs/2409.06671
Power law systems have been studied extensively due to their wide-ranging applications, particularly in chemistry. In this work, we focus on power law systems that can be decomposed into stoichiometrically independent subsystems. We show that for suc
Externí odkaz:
http://arxiv.org/abs/2404.00958
Autor:
Uddin, Md. Ashraf, Aryal, Sunil, Bouadjenek, Mohamed Reda, Al-Hawawreh, Muna, Talukder, Md. Alamin
The rapid expansion of varied network systems, including the Internet of Things (IoT) and Industrial Internet of Things (IIoT), has led to an increasing range of cyber threats. Ensuring robust protection against these threats necessitates the impleme
Externí odkaz:
http://arxiv.org/abs/2403.11180
Autor:
Uddin, Md. Ashraf, Aryal, Sunil, Bouadjenek, Mohamed Reda, Al-Hawawreh, Muna, Talukder, Md. Alamin
With the increased use of network technologies like Internet of Things (IoT) in many real-world applications, new types of cyberattacks have been emerging. To safeguard critical infrastructures from these emerging threats, it is crucial to deploy an
Externí odkaz:
http://arxiv.org/abs/2403.13013
Autor:
Uddin, Md. Ashraf, Aryal, Sunil, Bouadjenek, Mohamed Reda, Al-Hawawreh, Muna, Talukder, Md. Alamin
In today's digital age, our dependence on IoT (Internet of Things) and IIoT (Industrial IoT) systems has grown immensely, which facilitates sensitive activities such as banking transactions and personal, enterprise data, and legal document exchanges.
Externí odkaz:
http://arxiv.org/abs/2403.13010
Autor:
Khatun, Maleka, Islam, Md Manowarul, Rifat, Habibur Rahman, Shahid, Md. Shamim Bin, Talukder, Md. Alamin, Uddin, Md Ashraf
Brain-related diseases are more sensitive than other diseases due to several factors, including the complexity of surgical procedures, high costs, and other challenges. Alzheimer's disease is a common brain disorder that causes memory loss and the sh
Externí odkaz:
http://arxiv.org/abs/2403.05353
Autor:
Bhattacharjya, Abanti, Islam, Md Manowarul, Uddin, Md Ashraf, Talukder, Md. Alamin, Azad, AKM, Aryal, Sunil, Paul, Bikash Kumar, Tasnim, Wahia, Almoyad, Muhammad Ali Abdulllah, Moni, Mohammad Ali
With the advent of Information technology, the Bioinformatics research field is becoming increasingly attractive to researchers and academicians. The recent development of various Bioinformatics toolkits has facilitated the rapid processing and analy
Externí odkaz:
http://arxiv.org/abs/2402.17807
Autor:
Talukder, Md. Alamin, Hossen, Rakib, Uddin, Md Ashraf, Uddin, Mohammed Nasir, Acharjee, Uzzal Kumar
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.Timely d
Externí odkaz:
http://arxiv.org/abs/2402.14389