Zobrazeno 1 - 10
of 96
pro vyhledávání: '"William Villegas-Ch"'
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-21 (2024)
Abstract In the era of Industry 4.0, mastering the management and analysis of large volumes of data has become essential to foster technological advances and improve operations. Our work presents a methodology combining spatial and temporal data with
Externí odkaz:
https://doaj.org/article/9168c6463902417cb783e5dfa89a60c2
Publikováno v:
Frontiers in Computer Science, Vol 6 (2024)
Accurate pain detection is a critical challenge in healthcare, where communication and interpretation of pain often limit traditional subjective assessments. The current situation is characterized by the need for more objective and reliable methods t
Externí odkaz:
https://doaj.org/article/fbb8515d185146f39715ced3ffcaced9
Publikováno v:
PeerJ Computer Science, Vol 10, p e2041 (2024)
Cybersecurity has become a central concern in the contemporary digital era due to the exponential increase in cyber threats. These threats, ranging from simple malware to advanced persistent attacks, put individuals and organizations at risk. This st
Externí odkaz:
https://doaj.org/article/418c2006d1f14736b27087bb32595917
Autor:
Rommel Gutierrez, William Villegas-Ch, Lorena Naranjo Godoy, Aracely Mera-Navarrete, Sergio Lujan-Mora
Publikováno v:
IEEE Access, Vol 12, Pp 107742-107756 (2024)
The increase in the sophistication and volume of cyberattacks has made traditional malware detection methods, such as those based on signatures and heuristics, obsolete. These conventional techniques struggle to identify new malware variants that emp
Externí odkaz:
https://doaj.org/article/e8cc2dc8dd5b4f20b510c324910711b8
Publikováno v:
IEEE Access, Vol 12, Pp 73045-73065 (2024)
The accelerated growth of online education in recent decades has made it a trendy educational option. Despite this, significant challenges persist regarding student retention and academic performance in these courses. Addressing these challenges requ
Externí odkaz:
https://doaj.org/article/0c6e2e2cf9ed43c5b6ddd0306bf6a419
Publikováno v:
IEEE Access, Vol 12, Pp 59093-59112 (2024)
This work delves into the emerging field of the metaverse and its application in education, exploring how virtual and augmented reality technologies can transform teaching and learning methods. Focusing on aspects of educational effectiveness, securi
Externí odkaz:
https://doaj.org/article/da4f43dcfca546c6b44f315b72c12376
Publikováno v:
IEEE Access, Vol 12, Pp 40368-40386 (2024)
In the contemporary era, the intersection of the Internet of Things and artificial intelligence revolutionizes how industries monitor and optimize their operations. In this work, we present a system that combines real-time monitoring provided by Inte
Externí odkaz:
https://doaj.org/article/5398db92afa34951a780f7f19a91b086
Publikováno v:
Systems, Vol 12, Iss 5, p 165 (2024)
This work explores the integration and effectiveness of artificial intelligence in improving the security of critical energy infrastructure, highlighting its potential to transform cybersecurity practices in the sector. The ability of artificial inte
Externí odkaz:
https://doaj.org/article/34dd6ba546a44401abbdc32e7dd472a8
Publikováno v:
Computers, Vol 13, Iss 5, p 122 (2024)
Currently, in the digital era, critical infrastructure is increasingly exposed to cyber threats to their operation and security. This study explores the use of blockchain technology to address these challenges, highlighting its immutability, decentra
Externí odkaz:
https://doaj.org/article/d533fd921b8a4c88a38c9de6db09e4fe
Publikováno v:
Applied Sciences, Vol 14, Iss 5, p 1737 (2024)
In the era of digitalization, the interaction between humans and machines, particularly in Natural Language Processing, has gained crucial importance. This study focuses on improving the effectiveness and accuracy of chatbots based on Natural Languag
Externí odkaz:
https://doaj.org/article/6f0e95a39a284651a10877292420e1a2