Search results for "feed-forward neural network"

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Deep Learning for Classifying Physical Activities from Accelerometer Data

2021

Physical inactivity increases the risk of many adverse health conditions, including the world’s major non-communicable diseases, such as coronary heart disease, type 2 diabetes, and breast and colon cancers, shortening life expectancy. There are minimal medical care and personal trainers’ methods to monitor a patient’s actual physical activity types. To improve activity monitoring, we propose an artificial-intelligence-based approach to classify the physical movement activity patterns. In more detail, we employ two deep learning (DL) methods, namely a deep feed-forward neural network (DNN) and a deep recurrent neural network (RNN) for this purpose. We evaluate the proposed models on two phy…

Fysisk aktivitetComputer scienceVDP::Informasjons- og kommunikasjonsteknologi: 550physical activityAccelerometercomputer.software_genresensorsBiochemistryMedical careRNNAnalytical Chemistry:Information and communication technology: 550 [VDP]Accelerometer dataAccelerometryartificial_intelligence_roboticsInstrumentationArtificial neural networkhealthAtomic and Molecular Physics and Opticsmachine learningclassificationHealthFeedforward neural network:Informasjons- og kommunikasjonsteknologi: 550 [VDP]Physical activityTP1-1185Movement activityMachine learningHelseFeed-forward neural networksVDP::Information and communication technology: 550ArticleFysisk aktiviteterMachine learningHumansAccelerometer dataElectrical and Electronic EngineeringExercisebusiness.industryPhysical activitySensorsDeep learningChemical technologydeep learningDeep learningfeed-forward neural networkRecurrent neural networkPhysical activitiesDiabetes Mellitus Type 2Recurrent neural networksaccelerometer dataUCIrecurrent neural networkNeural Networks ComputerArtificial intelligenceClassificationsbusinesscomputerDNN
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Neural Networks to Determine the Relationships Between Business Innovation and Gender Aspects

2021

Gender aspects of management, innovation and entrepreneurship are gaining more and more importance as cross-cutting issues for researchers, practitioners and decision makers. Extant literature pays a growing attention to the hypothesis that there exists a correlation between the gender diversity of corporate boards of directors and the business attitude to innovation. In this paper we introduce a working framework to test the aforementioned hypothesis and to examine the correlation between board diversity and innovation perception of a business. This framework is based on correlation computation and feed-forward neural networks, and it is used to evaluate whether the gender component may be…

Innovation and entrepreneurship Gender diversity Corporate Boards of Directors Perception of innovation Feed-forward neural networksSettore SECS-S/06 -Metodi Mat. dell'Economia e d. Scienze Attuariali e Finanz.
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