Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Manuel Eugenio Morocho-Cayamcela"'
Autor:
Argenis Ronaldo Andrade-Zambrano, Juan Pablo Astudillo Leon, Manuel Eugenio Morocho-Cayamcela, Leticia Lemus Cardenas, Luis J. de la Cruz Llopis
Publikováno v:
IEEE Access, Vol 12, Pp 75072-75092 (2024)
Modern electrical systems are evolving with data communication networks, ushering in upgraded electrical infrastructures and enabling bidirectional communication between utility grids and consumers. The selection of communication technologies is cruc
Externí odkaz:
https://doaj.org/article/779020c4416343e6823192c06ae3728c
Autor:
Leo Ramos, Edmundo Casas, Cristian Romero, Francklin Rivas-Echeverria, Manuel Eugenio Morocho-Cayamcela
Publikováno v:
IEEE Access, Vol 12, Pp 13711-13728 (2024)
This study explores the effectiveness of the ConvNeXt model, an advanced computer vision architecture, in the task of image captioning. We integrated ConvNeXt with a Long Short-Term Memory network that includes a visual attention module, focusing on
Externí odkaz:
https://doaj.org/article/98f9f35886c346faaa431208d3718d55
Publikováno v:
Computation, Vol 11, Iss 12, p 252 (2023)
In August 2020, the World Health Assembly launched a global initiative to eliminate cervical cancer by 2030, setting three primary targets. One key goal is to achieve a 70% screening coverage rate for cervical cancer, primarily relying on the precise
Externí odkaz:
https://doaj.org/article/d462e76371f249d28f594d763051bb85
Publikováno v:
ICT Express, Vol 8, Iss 2, Pp 230-234 (2022)
The concept of drone base stations (DBSs) has been applied to reduce the distance of the wireless link between a macro base station and its active users under diverse scenarios in military communications, smart industries, and high-density networks,
Externí odkaz:
https://doaj.org/article/e5e64b8dc3844da391c4cc159177c15b
Autor:
Judith Nkechinyere Njoku, Manuel Eugenio Morocho-Cayamcela, Angela Caliwag, Pei Xiao, Wansu Lim
Publikováno v:
ICT Express, Vol 8, Iss 2, Pp 207-212 (2022)
Issues in spectrum allocation between wireless network users have arisen due to the fast increase in the number of broadband services. Such issues include the failure to maximize the performance of all users by considering only a particular category
Externí odkaz:
https://doaj.org/article/85667d8d779d4f2c97bb2f6874f663f1
Publikováno v:
IEEE Access, Vol 10, Pp 33679-33694 (2022)
This paper focuses on visual attention, a state-of-the-art approach for image captioning tasks within the computer vision research area. We study the impact that different hyperparemeter configurations on an encoder-decoder visual attention architect
Externí odkaz:
https://doaj.org/article/8fea6da931654af09bd4e411c0513d2e
Publikováno v:
Applied Artificial Intelligence, Vol 35, Iss 6, Pp 476-487 (2021)
In this paper, we study a deep learning (DL)-based multimodal technology for military, surveillance, and defense applications based on a pixel-by-pixel classification of soldier’s image dataset. We explore the acquisition of images from a remote ta
Externí odkaz:
https://doaj.org/article/a69b426d05664be292226c5bbb4e9a8d
Publikováno v:
IEEE Access, Vol 7, Pp 137184-137206 (2019)
Driven by the demand to accommodate today's growing mobile traffic, 5G is designed to be a key enabler and a leading infrastructure provider in the information and communication technology industry by supporting a variety of forthcoming services with
Externí odkaz:
https://doaj.org/article/a1ff9bb15927414fa2635de4de1ab442
Autor:
Fabricio Crespo, Anthony Crespo, Luz Marina Sierra-Martínez, Diego Hernán Peluffo-Ordóñez, Manuel Eugenio Morocho-Cayamcela
Publikováno v:
Applied Sciences, Vol 12, Iss 14, p 6924 (2022)
Face mask detection has become a great challenge in computer vision, demanding the coalition of technology with COVID-19 awareness. Researchers have proposed deep learning models to detect the use of face masks. However, the incorrect use of a face m
Externí odkaz:
https://doaj.org/article/e8a262dc31c24ec9b133f68b56f8151d
Publikováno v:
ELCVIA Electronic Letters on Computer Vision and Image Analysis, Vol 19, Iss 2 (2021)
This thesis addresses the environmental uncertainty in satellite images as a computer vision task using semantic image segmentation. We focus in the reduction of the error caused by the use of a single-environment models in wireless communications. W
Externí odkaz:
https://doaj.org/article/b35e126e2fd34526a84df6f7634b2f6b