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Mostrando ítems 61-70 de 1075
Detection of soybean pests and diseases through machine learning techniquesDetecção de pragas e doenças da soja através de técnicas de aprendizado de máquina
(Universidade Federal de LavrasPrograma de Pós-graduação em Ciência da ComputaçãoUFLAbrasilDepartamento de Ciência da Computação, 2023)
Revisión del estado del arte de la evaluación de riesgos en instalaciones portuarias
(Ciencia e Ingeniería, 2014)
TRIS: A Three-Rings IoT Sentinel to Protect Against Cyber-Threats
(IEEE XploreSpain, 2018)
The Internet of Things (IoT) is considered as an emerging technology with considerable potentialities. Its paradigm of everything connected together invaded the real world, with smart objects located in several daily ...
TRIS: A Three-Rings IoT Sentinel to Protect Against Cyber-Threats
(IEEE XploreValencia, España., 2018-10)
The Internet of Things (IoT) is considered as an emerging technology with considerable potentialities. Its paradigm of everything connected together invaded the real world, with smart objects located in several daily ...
MÉTODO DE CLASSIFICAÇÃO DE PRAGAS POR MEIO DE REDE NEURAL CONVOLUCIONAL PROFUNDA
(Universidade Estadual de Ponta GrossaBrasilDepartamento de InformáticaPrograma de Pós Graduação Computação AplicadaUEPG, 2019)
The Impact of Ict on Teaching by Procedural Simulation
In medicine, using simulation as a teaching method enables meeting training requirements. These requirements can be technical (gestures, procedures, decision-making) as well as non-technical (communication, collaborations, ...
N-grams Based Supervised Machine Learning Model for Mobile Agent Platform Protection against Unknown Malicious Mobile Agents
From many past years, the detection of unknown malicious mobile agents before they invade the Mobile Agent Platform has been the subject of much challenging activity. The ever-growing threat of malicious agents calls for ...
Privacy-preserving machine learning for collaborative data sharing via auto-encoder latent space embeddings
(Universidad de los AndesMaestría en Ingeniería IndustrialFacultad de IngenieríaDepartamento de Ingeniería Industrial, 2022-12-05)
Privacy-preserving machine learning in data-sharing processes is an ever-critical
task that enables collaborative training of Machine Learning (ML) models without
the need to share the original data sources. It is ...