Zobrazeno 1 - 10
of 446 208
pro vyhledávání: '"A. Rahman"'
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
Autor:
Rahman, Md Abdur, Barek, Md Abdul, Riad, ABM Kamrul Islam, Rahman, Md Mostafizur, Rashid, Md Bajlur, Ambedkar, Smita, Miaa, Md Raihan, Wu, Fan, Cuzzocrea, Alfredo, Ahamed, Sheikh Iqbal
Although software developers of mHealth apps are responsible for protecting patient data and adhering to strict privacy and security requirements, many of them lack awareness of HIPAA regulations and struggle to distinguish between HIPAA rules catego
Externí odkaz:
http://arxiv.org/abs/2410.20664
Autor:
Rahman, Md. Sohanur, Chowdhury, Muhammad E. H., Rahman, Hasib Ryan, Ahmed, Mosabber Uddin, Kabir, Muhammad Ashad, Roy, Sanjiban Sekhar, Sarmun, Rusab
In this study, we propose a novel and robust framework, Self-DenseMobileNet, designed to enhance the classification of nodules and non-nodules in chest radiographs (CXRs). Our approach integrates advanced image standardization and enhancement techniq
Externí odkaz:
http://arxiv.org/abs/2410.12584
Exterior painting of high-rise buildings is a challenging task. In our country, as well as in other countries of the world, this task is accomplished manually, which is risky and life-threatening for the workers. Researchers and industry experts are
Externí odkaz:
http://arxiv.org/abs/2409.05153
The nitrogen vacancy centre in diamond is a versatile color center widely used for magnetometry, quantum computing, and quantum communications. In this article, we develop a new magnetometer using an ensemble of nitrogen vacancy centers and the Farad
Externí odkaz:
http://arxiv.org/abs/2411.10437
Autor:
Li, Fei, Rahman, Mubdi, Murray, Norman, Kereš, Dušan, Wetzel, Andrew, Faucher-Giguère, Claude-André, Hopkins, Philip F., Moreno, Jorge
Simulations and observations suggest that galaxy interactions may enhance the star formation rate (SFR) in merging galaxies. One proposed mechanism is the torque exerted on the gas and stars in the larger galaxy by the smaller galaxy. We analyze the
Externí odkaz:
http://arxiv.org/abs/2411.10373
Autor:
Rahman, Abdul, Upadhye, Neelesh
In high frequency trading, accurate prediction of Order Flow Imbalance (OFI) is crucial for understanding market dynamics and maintaining liquidity. This paper introduces a hybrid predictive model that combines Vector Auto Regression (VAR) with a sim
Externí odkaz:
http://arxiv.org/abs/2411.08382
Autor:
Barua, Saikat, Rahman, Mostafizur, Sadek, Md Jafor, Islam, Rafiul, Khaled, Shehnaz, Hossain, Md. Shohrab
The principles of automation and innovation serve as foundational elements for advancement in contemporary science and technology. Here, we introduce Pygen, an automation platform designed to empower researchers, technologists, and hobbyists to bring
Externí odkaz:
http://arxiv.org/abs/2411.08932
Autor:
Sykot, Arman, Rahman, Mohammad Hasibur, Anannya, Rifat Tasnim, Upoma, Khan Shariya Hasan, Mahdy, M. R. C.
This paper presents a novel hybrid Quantum Key Distribution ,QKD, protocol that combines entanglement based and non entanglement based approaches to optimize security and the number of generated keys. We introduce a dynamic system that integrates a t
Externí odkaz:
http://arxiv.org/abs/2411.06586