Zobrazeno 1 - 10
of 445 352
pro vyhledávání: '"A., RAHMAN"'
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
Autor:
Hassan, Ibne, Mujahid, Aman, Hasib, Abdullah Al, Shagoto, Andalib Rahman, Mondal, Joyanta Jyoti, Manab, Meem Arafat, Noor, Jannatun
Countries in South Asia experience many catastrophic flooding events regularly. Through image classification, it is possible to expedite search and rescue initiatives by classifying flood zones, including houses and humans. We create a new dataset co
Externí odkaz:
http://arxiv.org/abs/2411.00169
In the digital age, the exposure of sensitive information poses a significant threat to security. Leveraging the ubiquitous nature of code-sharing platforms like GitHub and BitBucket, developers often accidentally disclose credentials and API keys, g
Externí odkaz:
http://arxiv.org/abs/2410.23657
The growing volume of biomedical scholarly document abstracts presents an increasing challenge in efficiently retrieving accurate and relevant information. To address this, we introduce a novel approach that integrates an optimized topic modelling fr
Externí odkaz:
http://arxiv.org/abs/2411.00041
Domain Generation Algorithms (DGAs) are malicious techniques used by malware to dynamically generate seemingly random domain names for communication with Command & Control (C&C) servers. Due to the fast and simple generation of DGA domains, detection
Externí odkaz:
http://arxiv.org/abs/2410.21723
Large language models (LLMs) are becoming a popular tool as they have significantly advanced in their capability to tackle a wide range of language-based tasks. However, LLMs applications are highly vulnerable to prompt injection attacks, which poses
Externí odkaz:
http://arxiv.org/abs/2410.21337
We explore red stellar populations toward the W3 giant molecular cloud through the use of optical-to-infrared (IR) photometry and Gaia DR 3 data, simultaneously characterizing stellar content and properties of dust in the molecular medium. We use a R
Externí odkaz:
http://arxiv.org/abs/2410.20194
Autor:
Rahman, Mustazee, Virag, Balint
A basic question about the directed landscape is how much of it can be reconstructed simply by knowing the shapes of its geodesics. We prove that the directed landscape can be reconstructed from the shapes of its semi-infinite geodesics. In order to
Externí odkaz:
http://arxiv.org/abs/2410.19070