GI-CTC - Artigos: Envíos recentes
Mostrando ítems 66-70 de 74
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Delving into Android Malware Families with a Novel Neural Projection Method
(Willey-Hindawi, 2019)[Abstract] Present research proposes the application of unsupervised and supervised machine-learning techniques to characterize Android malware families. More precisely, a novel unsupervised neural-projection method for ... -
Short-Term Energy Demand Forecast in Hotels Using Hybrid Intelligent Modeling
(MDPI, 2019)[Abstract] The hotel industry is an important energy consumer that needs efficient energy management methods to guarantee its performance and sustainability. The new role of hotels as prosumers increases the difficulty ... -
Radon Mitigation Approach in a Laboratory Measurement Room
(MDPI, 2017-05-11)[Abstract] Radon gas is the second leading cause of lung cancer, causing thousands of deaths annually. It can be a problem for people or animals in houses, workplaces, schools or any building. Therefore, its mitigation has ... -
Hybrid Intelligent System to Perform Fault Detection on BIS Sensor During Surgeries
(Multidisciplinary Digital Publishing Institute, 2017)This paper presents a new fault detection system in hypnotic sensors used for general anesthesia during surgery. Drug infusion during surgery is based on information received from patient monitoring devices; accordingly, ... -
A Hybrid Algorithm for Missing Data Imputation and Its Application to Electrical Data Loggers
(Multidisciplinary Digital Publishing Institute, 2016)The storage of data is a key process in the study of electrical power networks related to the search for harmonics and the finding of a lack of balance among phases. The presence of missing data of any of the main electrical ...