Zobrazeno 1 - 10
of 84
pro vyhledávání: '"José Cecílio"'
Publikováno v:
Journal of NeuroEngineering and Rehabilitation, Vol 14, Iss 1, Pp 1-13 (2017)
Abstract Background We aimed to investigate the separability of the neural correlates of 2 types of motor imagery, self and third person (actions owned by the participant himself vs. another individual). If possible this would allow for the developme
Externí odkaz:
https://doaj.org/article/dd38576259dc4959b01d602ef1642562
Publikováno v:
Sensors, Vol 20, Iss 14, p 4034 (2020)
Global climate change originates frequent floods that may cause severe damage, justifying the need for real-time remote monitoring and alerting systems. Several works deal with LoRa (Long Range) communications over land and in the presence of obstacl
Externí odkaz:
https://doaj.org/article/2e6bc441b13646ae8c6ad96c27a028df
Publikováno v:
ACM SIGAda Ada Letters. 42:86-89
Wireless Sensor Networks used in aquatic environments for continuous monitoring are typically subject to physical or environmental factors that create anomalies in collected data. A possible approach to identify and correct these anomalies, hence to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1bf8dcd48c02ef2c53478cc37ddd3150
https://doi.org/10.1145/3577949.3577966
https://doi.org/10.1145/3577949.3577966
Autor:
Anabela Oliveira, Pedro D'Orey, Luis Ramos Pinto, Miguel Gutiérrez Gaitán, Luis Almeida, José Cecílio, Marta Rodrigues, Antonio Casimiro, Pedro Miguel Salgueiro dos Santos
Publikováno v:
IEEE Sensors Journal. 22:21312-21325
Low-power wide-area networks are extending beyond the conventional terrestrial domain. Coastal zones, rivers, wetlands, among others, are nowadays common deployment settings for Internet-of-Things nodes where communication technologies such as LoRa a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7217eff6546ef042025e9ed0ebea5938
https://doi.org/10.1109/jsen.2022.3205760
https://doi.org/10.1109/jsen.2022.3205760
Publikováno v:
IEEE Transactions on Network and Service Management. :1-1
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::313dcde75092008be1514652f8d8ef75
https://doi.org/10.1109/tnsm.2023.3275011
https://doi.org/10.1109/tnsm.2023.3275011
Publikováno v:
Journal of Ambient Intelligence and Humanized Computing. 11:3907-3919
The complex way radio waves propagate indoors, leads to the derivation of location using fngerprinting techniques. In this cases, location is computed relying on WiFi signals strength mapping. Recent Bluetooth low energy (BLE) provides new opportunit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ce50517de22f6b8c0ad608766d08b032
https://doi.org/10.1007/s12652-019-01626-2
https://doi.org/10.1007/s12652-019-01626-2
Publikováno v:
ICARCV
Clinical laboratories use a myriad of medical devices (e.g., automated analyzers) to determine the results of its tests. Modern laboratories have evolved towards almost complete automation, by making use of laboratory information systems (LIS) that i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1a79b4be4f34883efdaffb0ff98a7ee8
https://doi.org/10.1109/icarcv50220.2020.9305428
https://doi.org/10.1109/icarcv50220.2020.9305428
Publikováno v:
ANT/SEIT
Indoor navigation technologies rely on accurately determining the position of a moving person or robot to guide her actively through the building. This cannot be done using GPS because it is indoors. We have been dealing with this problem in the cont
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::247fa56a53eff527f25b759d9cfb8387
https://doi.org/10.1016/j.procs.2018.04.061
https://doi.org/10.1016/j.procs.2018.04.061
Publikováno v:
ANT/SEIT
Distributed IoT Systems with time guaranties need to be carefully dimensioned to provide correct operations timings. In heterogeneous systems, with wired and wireless components, there are many factors that have implications regarding timings. Beside
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9c6428e8279ee2497b4eba027c36f6fd
https://doi.org/10.1016/j.procs.2017.05.347
https://doi.org/10.1016/j.procs.2017.05.347
Publikováno v:
Beyond Databases, Architectures and Structures. Paving the Road to Smart Data Processing and Analysis ISBN: 9783030190927
BDAS
BDAS
Computer vision image recognition has undergone remarkable evolution due to available large-scale datasets (e.g., ImageNet, UECFood) and the evolution of deep Convolutional Neural Networks (CNN). CNN’s learning method is data-driven from a sufficie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c62eebc56b32dcbb39cce9a05d020554
https://doi.org/10.1007/978-3-030-19093-4_9
https://doi.org/10.1007/978-3-030-19093-4_9
