Zobrazeno 1 - 10
of 127
pro vyhledávání: '"WILSON Vicente Ruggiero"'
Publikováno v:
Data, Vol 9, Iss 6, p 82 (2024)
Although hardware trojans impose a relevant threat to the hardware security of RISC-V and Web3 applications, existing datasets have a limited set of examples, as the most famous hardware trojan dataset TrustHub has 106 different trojans. RISC-V speci
Externí odkaz:
https://doaj.org/article/350c2b1dc37a43e0831328c012d3346a
Autor:
Felipe Coelho de Abreu Pinna, Victor Takashi Hayashi, João Carlos Néto, Rosangela de Fátima Pereira Marquesone, Maísa Cristina Duarte, Rodrigo Suzuki Okada, Wilson Vicente Ruggiero
Publikováno v:
Applied Sciences, Vol 14, Iss 4, p 1585 (2024)
Complex and long interactions (e.g., a change of topic during a conversation) justify the use of dialog systems to develop task-oriented chatbots and intelligent virtual assistants. The development of dialog systems requires considerable effort and t
Externí odkaz:
https://doaj.org/article/a108e6da423045d2aac8664e16eef63a
Autor:
Victor Takashi Hayashi, Wilson Vicente Ruggiero, Júlio Cezar Estrella, Artino Quintino Filho, Matheus Ancelmo Pita, Reginaldo Arakaki, Cairo Ribeiro, Bruno Trazzi, Romeo Bulla
Publikováno v:
Sensors, Vol 22, Iss 23, p 9498 (2022)
Robust, fault tolerant, and available systems are fundamental for the adoption of Internet of Things (IoT) in critical domains, such as finance, health, and safety. The IoT infrastructure is often used to collect a large amount of data to meet the bu
Externí odkaz:
https://doaj.org/article/66ed229fcbca4d3dbefb2b2a28c7cd1b
Publikováno v:
Sensors, Vol 22, Iss 4, p 1325 (2022)
Virtual assistants, deployed on smartphone and smart speaker devices, enable hands-free financial transactions by voice commands. Even though these voice transactions are frictionless for end users, they are susceptible to typical attacks to authenti
Externí odkaz:
https://doaj.org/article/540c1fd98f7d4355a5d02cd4e4575417
Autor:
Tiago Yukio Fujii, Victor Takashi Hayashi, Reginaldo Arakaki, Wilson Vicente Ruggiero, Romeo Bulla, Fabio Hirotsugu Hayashi, Khalil Ahmad Khalil
Publikováno v:
Machines, Vol 10, Iss 1, p 23 (2021)
Using extensive databases and known algorithms to predict short-term energy consumption comprises most computational solutions based on artificial intelligence today. State-of-the-art approaches validate their prediction models in offline environment
Externí odkaz:
https://doaj.org/article/936adef558274729b03382c6c3f0ebcf
Autor:
Graça Bressan, Fernando Luís Gutiérrez López, Fernando Frota Redigolo, Ákio Nogueira Barbosa, Regina Melo Silveira, Wilson Vicente Ruggiero
Publikováno v:
Brazilian Journal of Development. 8:74848-74863
As limitações impostas pelo distanciamento social durante a pandemia representaram um grande desafio para todos os educadores manterem o ensino com tais limitações. Neste artigo, primeiramente apresentamos como a disciplina Laboratório de Redes
Autor:
Tiago Yukio Fujii, Victor Takashi Hayashi, Reginaldo Arakaki, Wilson Vicente Ruggiero, Romeo Bulla, Fabio Hirotsugu Hayashi, Khalil Ahmad Khalil
Publikováno v:
Machines, Vol 10, Iss 23, p 23 (2022)
Machines; Volume 10; Issue 1; Pages: 23
Machines; Volume 10; Issue 1; Pages: 23
Using extensive databases and known algorithms to predict short-term energy consumption comprises most computational solutions based on artificial intelligence today. State-of-the-art approaches validate their prediction models in offline environment
Publikováno v:
Anais Estendidos do XXII Simpósio Brasileiro de Segurança da Informação e de Sistemas Computacionais (SBSeg Estendido 2022).
Assistentes pessoais em dispositivos móveis e smart speakers permitem transações financeiras sem o uso das mãos por comandos de voz. Mesmo que essas transações de voz sejam úteis para os usuários finais em ambientes conectados confiáveis, el
Autor:
Tiago Yukio Fujii, Victor Takashi Hayashi, Khalil Ahmad Khalil, Haroldo L. M. do Amaral, Wilson Vicente Ruggiero, Reginaldo Arakaki
Publikováno v:
2021 14th IEEE International Conference on Industry Applications (INDUSCON).
Modelos de previsao do consumo energetico residencial a curto prazo (horizonte de horas ou dias) permitem a seus usuarios planejar e tomar decisoes de modo a reduzir seu consumo. Entretanto, grande parte dos trabalhos academicos nesta area utiliza am