Zobrazeno 1 - 10
of 444 190
pro vyhledávání: '"Rahman IN"'
Traveling through toll plazas is one of the primary causes of congestion, as identified in recent studies. Electronic Toll Collection (ETC) systems can mitigate this problem. This experiment focuses on enhancing the security of ETC using RFID tags an
Externí odkaz:
http://arxiv.org/abs/2412.01728
Autor:
Dastagir, R. B., Jami, J. T., Chanda, S., Hafiz, F., Rahman, M., Dey, K., Rahman, M. M., Qureshi, M., Chowdhury, M. M.
Rapid diagnostic tests are crucial for timely disease detection and management, yet accurate interpretation of test results remains challenging. In this study, we propose a novel approach to enhance the accuracy and reliability of rapid diagnostic te
Externí odkaz:
http://arxiv.org/abs/2411.18007
Autor:
Samin, Md. Nazmus Sadat, Ahad, Jawad Ibn, Medha, Tanjila Ahmed, Rahman, Fuad, Amin, Mohammad Ruhul, Mohammed, Nabeel, Rahman, Shafin
This study focuses on recognizing Bangladeshi dialects and converting diverse Bengali accents into standardized formal Bengali speech. Dialects, often referred to as regional languages, are distinctive variations of a language spoken in a particular
Externí odkaz:
http://arxiv.org/abs/2411.10879
Autor:
Ahad, Jawad Ibn, Sultan, Rafeed Mohammad, Kaikobad, Abraham, Rahman, Fuad, Amin, Mohammad Ruhul, Mohammed, Nabeel, Rahman, Shafin
This study investigates the automation of meta-analysis in scientific documents using large language models (LLMs). Meta-analysis is a robust statistical method that synthesizes the findings of multiple studies support articles to provide a comprehen
Externí odkaz:
http://arxiv.org/abs/2411.10878
A significant challenge in automating hate speech detection on social media is distinguishing hate speech from regular and offensive language. These identify an essential category of content that web filters seek to remove. Only automated methods can
Externí odkaz:
http://arxiv.org/abs/2411.05819
Data is the main fuel of a successful machine learning model. A dataset may contain sensitive individual records e.g. personal health records, financial data, industrial information, etc. Training a model using this sensitive data has become a new pr
Externí odkaz:
http://arxiv.org/abs/2411.01447
This paper introduces the Adaptive Context-Aware Multi-Path Transmission Control Protocol (ACMPTCP), an efficient approach designed to optimize the performance of Multi-Path Transmission Control Protocol (MPTCP) for data-intensive applications such a
Externí odkaz:
http://arxiv.org/abs/2412.19737
Reinforcement learning (RL) has shown great promise in simulated environments, such as games, where failures have minimal consequences. However, the deployment of RL agents in real-world systems such as autonomous vehicles, robotics, UAVs, and medica
Externí odkaz:
http://arxiv.org/abs/2412.19311
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