Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Santiago Sanchez-Viteri"'
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 Artificial Intelligence, Vol 7 (2024)
In the contemporary realm of industry, the imperative for influential and steadfast systems to detect anomalies is critically recognized. Our study introduces a cutting-edge approach utilizing a deep learning model of the Long-Short Term Memory varie
Externí odkaz:
https://doaj.org/article/7c7c2c6dc93b4f32806e9246cc964e99
Publikováno v:
Intelligent Systems with Applications, Vol 24, Iss , Pp 200438- (2024)
This study presents implementing and evaluating a computer vision platform to optimize warehouse inventory management. Integrating machine learning and computer vision technologies, this solution addresses critical challenges in inventory accuracy an
Externí odkaz:
https://doaj.org/article/0399e0ae6ca645e8a2484e1dc29f4366
Publikováno v:
IEEE Access, Vol 12, Pp 164634-164651 (2024)
Writing is a fundamental skill in children’s educational development, but many face significant difficulties in learning it, which can affect their academic progress and self-esteem. Traditional handwriting assessment methods are based on manual ob
Externí odkaz:
https://doaj.org/article/1eefd0304554437bbd19233ee0e77b7c
Publikováno v:
IEEE Access, Vol 12, Pp 121114-121130 (2024)
Given the inherent diversity in learning styles and rhythms, the current educational landscape demands continuous adaptation toward methodologies that enhance individualized learning. This study addresses the effectiveness of learning personalization
Externí odkaz:
https://doaj.org/article/9e7ee1f2a7b2478a83d1a6aec52cb84e
Publikováno v:
IEEE Access, Vol 12, Pp 95599-95612 (2024)
Real-time object detection in urban environments is critical for security, transportation, and surveillance applications. This work presents an approach based on the You Only Look Once model for real-time object detection in urban scenarios. The meth
Externí odkaz:
https://doaj.org/article/8565327a5b694b52bd6511531e8a4121
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:
IEEE Access, Vol 11, Pp 38010-38022 (2023)
Educational models currently integrate a variety of technologies and computer applications that seek to improve learning environments. With this objective, information technologies have increasingly adapted to assume the role of educational assistant
Externí odkaz:
https://doaj.org/article/18ac76e7ca574f24924b2ac897149d9c