Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Luis M Soria Morillo"'
Autor:
Alejandro Rodríguez-Molinero, Carlos Pérez-López, Jose L Salazar González, Esther Garcia-Lerma, Juan A Álvarez-García, Luis M Soria Morillo, Tomás Salas Fernández
Publikováno v:
JMIR Research Protocols, Vol 12, p e48925 (2023)
BackgroundOnly 5% of the molecules tested in oncology phase 1 trials reach the market after an average of 7.5 years of waiting and at a cost of tens of millions of dollars. To reduce the cost and shorten the time of discovery of new treatments, “dr
Externí odkaz:
https://doaj.org/article/fba67baf4ddc4a59a24325e95ab57ac4
Autor:
Ángel Torregrosa-Domínguez, Juan A. Álvarez-García, Jose L. Salazar-González, Luis M. Soria-Morillo
Publikováno v:
Applied Sciences, Vol 14, Iss 18, p 8198 (2024)
Gun violence is a global problem that affects communities and individuals, posing challenges to safety and well-being. The use of autonomous weapons detection systems could significantly improve security worldwide. Despite notable progress in the fie
Externí odkaz:
https://doaj.org/article/bc1f48e388674c3ebf465a8873856a07
Publikováno v:
Sensors, Vol 24, Iss 16, p 5429 (2024)
This paper presents a comprehensive approach to detect violent events in videos by combining CrimeNet, a Vision Transformer (ViT) model with structured neural learning and adversarial regularization, with an adaptive threshold sliding window model ba
Externí odkaz:
https://doaj.org/article/2f64e4688d8a4986888912fd7c00c94c
Autor:
Alejandro Rodríguez-Molinero, Carlos Pérez-López, Jose L. Salazar González, Esther Garcia-Lerma, Juan A. Álvarez-García, Luis M. Soria Morillo, Tomás Salas Fernández
UNSTRUCTURED Only 5% of the molecules tested in oncology phase I trials reach the market after an average of 7.5 years of waiting and at a cost of tens of millions of euros. To reduce the cost and shorten the times of discovery of new treatments, “
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6e956f9570feee16e0dcb21e98b0cb01
https://doi.org/10.2196/preprints.48925
https://doi.org/10.2196/preprints.48925
Autor:
Damián Fernández-Cerero, Jorge Yago Fernández-Rodríguez, Juan A. Álvarez-García, Luis M. Soria-Morillo, Alejandro Fernández-Montes
Publikováno v:
Sensors, Vol 19, Iss 13, p 3026 (2019)
The number of connected sensors and devices is expected to increase to billions in the near future. However, centralised cloud-computing data centres present various challenges to meet the requirements inherent to Internet of Things (IoT) workloads,
Externí odkaz:
https://doaj.org/article/ae7b140560e2469d942b6ead221fd1f3
Autor:
Luis M. Soria-Morillo, Miguel A. Martínez-del-Amor, Fernando Sancho-Caparrini, Enrique J. López-Ortiz, Juan Antonio Álvarez-García
Publikováno v:
idUS: Depósito de Investigación de la Universidad de Sevilla
Universidad de Sevilla (US)
idUS. Depósito de Investigación de la Universidad de Sevilla
instname
Universidad de Sevilla (US)
idUS. Depósito de Investigación de la Universidad de Sevilla
instname
In recent years we have seen multiple incidents with a large number of people injured and killed by one or more armed attackers. Since this type of violence is difficult to predict, detecting threats as early as possible allows to generate early warn
Autor:
Juan Antonio Álvarez-García, Alejandro Fernández-Montes, Jorge Yago Fernández-Rodríguez, Luis M. Soria-Morillo, Damián Fernández-Cerero
Publikováno v:
Sensors
Volume 19
Issue 13
Sensors (Basel, Switzerland)
idUS. Depósito de Investigación de la Universidad de Sevilla
instname
Sensors, Vol 19, Iss 13, p 3026 (2019)
Volume 19
Issue 13
Sensors (Basel, Switzerland)
idUS. Depósito de Investigación de la Universidad de Sevilla
instname
Sensors, Vol 19, Iss 13, p 3026 (2019)
The number of connected sensors and devices is expected to increase to billions in the near future. However, centralised cloud-computing data centres present various challenges to meet the requirements inherent to Internet of Things (IoT) workloads,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4bff25bedb5b02a7eb33538c1eb9cb21
Publikováno v:
idUS. Depósito de Investigación de la Universidad de Sevilla
instname
instname
This paper presents a Deep Learning approach for traffic sign recognition systems. Several classification experiments are conducted over publicly available traffic sign datasets from Germany and Belgium using a Deep Neural Network which comprises Con
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ff7f6867e13b8b5e46fa82bd93795904
Publikováno v:
idUS. Depósito de Investigación de la Universidad de Sevilla
instname
instname
Traffic sign detection systems constitute a key component in trending real-world applications, such as autonomous driving, and driver safety and assistance. This paper analyses the state-of-the-art of several object-detection systems (Faster R-CNN, R
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c3b929314ad407fdc261a1cf9444413f
Autor:
Luis M. Soria-Morillo, Tom Gross, Juan Antonio Ortega-Ramirez, Joerg Doerflinger, Olga Lyra, Eiman Kanjo, Miguel Ángel Valero Duboy, Ismael Cuadrado-Cordero, Iván Pau de la Cruz, Evangelos Karapanos, Vassilis Kostakos, Luis Gonzalez-Abril
Publikováno v:
IEEE Pervasive Computing. 11:43-45
This issue's Works-In-Progress department has four entries related to the issue's theme, Information and Communication Technologies for Development (ICTD). They are “Sustainable ICT in Agricultural Value Chains”, “Measuring Social Inclusion in