Zobrazeno 1 - 10
of 2 420
pro vyhledávání: '"Apache Spark"'
Publikováno v:
Big Data Mining and Analytics, Vol 7, Iss 2, Pp 500-511 (2024)
The current large-scale Internet of Things (IoT) networks typically generate high-velocity network traffic streams. Attackers use IoT devices to create botnets and launch attacks, such as DDoS, Spamming, Cryptocurrency mining, Phishing, etc. The serv
Externí odkaz:
https://doaj.org/article/2a238a0ca8ac41738cf1f1c0977240e5
Autor:
Yasmeen Alslman, Ashwaq Khalil, Remah Younisse, Eman AlNagi, Jaafer Al-Saraireh, Rawan Ghnemat
Publikováno v:
Jordanian Journal of Computers and Information Technology, Vol 10, Iss 2, Pp 123-137 (2024)
We live in an era when time is a precious resource. Thus, dealing with the vast amount of data collected from different resources for various purposes requires creating systems that can process the data in a reasonable time to make it worthwhile. Acc
Externí odkaz:
https://doaj.org/article/a218afe976bb4f6aae99bc9bcb522edf
Publikováno v:
Journal of Big Data, Vol 11, Iss 1, Pp 1-26 (2024)
Abstract Using recent information and communication technologies for monitoring and management initiates a revolution in the smart grid. These technologies generate massive data that can only be processed using big data tools. This paper emphasizes t
Externí odkaz:
https://doaj.org/article/0b589433183e48dba4cb5296da7ca2f3
Publikováno v:
IEEE Access, Vol 12, Pp 105080-105095 (2024)
The rise of smart cities as solutions to urban challenges has garnered significant attention in recent years. With technological advancements, particularly in wireless communication and artificial intelligence, smart cities aim to optimize decision-m
Externí odkaz:
https://doaj.org/article/4c35b540232743ec85828415fec59d30
Autor:
Nafees Akhter Farooqui, Mohammad Kamrul Hasan, Mohammed Ahsan Raza Noori, Abdul Hadi Abd Rahman, Shayla Islam, Mohammad Haleem, Sheikh Fahad Ahmad, Asif Khan, Fatima Rayan Awad Ahmed, Nissrein Babiker Mohammed Babiker, Thowiba E. Ahmed, Atta Ur Rehman Khan
Publikováno v:
IEEE Access, Vol 12, Pp 103908-103920 (2024)
Twitter is a useful tool for effectively tracking and managing crisis-related incidents. However, due to many irrelevant features in textual data, the problem of high dimensionality arises, which eventually increases the computational cost and decrea
Externí odkaz:
https://doaj.org/article/8b4919c6cf9c43c6b0260c161e016612
Publikováno v:
BMC Bioinformatics, Vol 24, Iss 1, Pp 1-22 (2023)
Abstract Background Quality control of DNA sequences is an important data preprocessing step in many genomic analyses. However, all existing parallel tools for this purpose are based on a batch processing model, needing to have the complete genetic d
Externí odkaz:
https://doaj.org/article/9bdf2f125c774fa6a400e7e755aecf09
Publikováno v:
Information, Vol 15, Iss 7, p 404 (2024)
The novelty of this paper is in determining and using hyperparameters to improve the Extended Isolation Forest (EIF) algorithm, a relatively new algorithm, to detect malicious activities in network traffic. The EIF algorithm is a variation of the Iso
Externí odkaz:
https://doaj.org/article/7d1cca7e046b4fe3851d8dc539540b4b
Publikováno v:
Engineering, Technology & Applied Science Research, Vol 14, Iss 1 (2024)
The agriculture sector plays a crucial role in the economy of Pakistan, contributing significantly to the Gross Domestic Product (GDP) and the employment rate. However, this sector faces challenges such as climate change, water scarcity, and low prod
Externí odkaz:
https://doaj.org/article/a08be4066c6746b0911f804010dc74dd
Autor:
Deng Caiyan, Liu Meiling
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
We investigate the viability of using data mining technologies to identify college students’ mental health issues in light of the rising number of these issues. To address the limitations of the traditional Apriori algorithm in data mining of menta
Externí odkaz:
https://doaj.org/article/5e184ef3e673441c838a8aa779de5642
Publikováno v:
Sensors, Vol 24, Iss 13, p 4237 (2024)
The transition to smart manufacturing introduces heightened complexity in regard to the machinery and equipment used within modern collaborative manufacturing landscapes, presenting significant risks associated with equipment failures. The core ambit
Externí odkaz:
https://doaj.org/article/013e9c93337743e79fecfaf3a4b0a9e2