Zobrazeno 1 - 10
of 313 077
pro vyhledávání: '"A., ISLAM"'
In the face of increasing cyber threats, particularly ransomware attacks, there is a pressing need for advanced detection and analysis systems that adapt to evolving malware behaviours. Throughout the literature, using machine learning (ML) to obviat
Externí odkaz:
http://arxiv.org/abs/2501.01089
In response to the increasing ransomware threat, this study presents a novel detection system that integrates Convolutional Neural Networks (CNNs) and Long Short-Term Memory (LSTM) networks. By leveraging Sysmon logs, the system enables real-time ana
Externí odkaz:
http://arxiv.org/abs/2501.01083
Autor:
Islam, Md Mirajul, Uddin, Md Nahiyan, Hasana, Maoyejatun, Pandit, Debojit, Rahman, Nafis Mahmud, Chellappan, Sriram, Azam, Sami, Islam, A. B. M. Alim Al
People exhibit unique emotional responses. In the same scenario, the emotional reactions of two individuals can be either similar or vastly different. For instance, consider one person's reaction to an invitation to smoke versus another person's resp
Externí odkaz:
http://arxiv.org/abs/2412.19041
Autor:
Rahman, Md. Naimur, Sozol, Shafak Shahriar, Samsuzzaman, Md., Hossin, Md. Shahin, Islam, Mohammad Tariqul, Islam, S. M. Taohidul, Maniruzzaman, Md.
In the modern agricultural industry, technology plays a crucial role in the advancement of cultivation. To increase crop productivity, soil require some specific characteristics. For watermelon cultivation, soil needs to be sandy and of high temperat
Externí odkaz:
http://arxiv.org/abs/2411.17731
Autor:
Uddin, Md. Kutub, Islam, Md. Saiful, Jahin, Md Abrar, Irfan, Md. Tanjid Hossen, Seam, Md. Saiful Islam, Mridha, M. F.
In the design of cellular manufacturing systems (CMS), numerous technological and managerial decisions must be made at both the design and operational stages. The first step in designing a CMS involves grouping parts and machines. In this paper, four
Externí odkaz:
http://arxiv.org/abs/2411.15361
Deep Learning Approach for Enhancing Oral Squamous Cell Carcinoma with LIME Explainable AI Technique
Autor:
Islam, Samiha, Mahmud, Muhammad Zawad, Alve, Shahran Rahman, Chowdhury, Md. Mejbah Ullah, Oishe, Faija Islam
The goal of the present study is to analyze an application of deep learning models in order to augment the diagnostic performance of oral squamous cell carcinoma (OSCC) with a longitudinal cohort study using the Histopathological Imaging Database for
Externí odkaz:
http://arxiv.org/abs/2411.14184
Autor:
Rabby, Md Insiat Islam, Sharif, Mohammad Ali Rob, Islam, Mohammad Tarequl, Islam, Md. Rakidul, Alam, Md. Mahidul
This article delves into a numerical exploration of two-dimensional, incompressible, laminar flow within a confined diverging jet. The study aims to understand how variations in the inlet opening fraction and Reynolds number affect the heat transfer
Externí odkaz:
http://arxiv.org/abs/2411.08573
This paper focuses on the generalized grouping problem in the context of cellular manufacturing systems (CMS), where parts may have more than one process route. A process route lists the machines corresponding to each part of the operation. Inspired
Externí odkaz:
http://arxiv.org/abs/2411.04685
Autor:
Ananthu, Gopi Chand, Islam, Riadul
This project focuses on the design and implementation of an AHB to APB Bridge for efficient communication in System-on-Chip (SoC) architectures. The Advanced High-performance Bus (AHB) is used for high-speed operations, typically connecting processor
Externí odkaz:
http://arxiv.org/abs/2501.01147
This research presents a robust approach to classifying COVID-19 cough sounds using cutting-edge machine-learning techniques. Leveraging deep neural decision trees and deep neural decision forests, our methodology demonstrates consistent performance
Externí odkaz:
http://arxiv.org/abs/2501.01117