Browsing by Subject "neural networks"
Now showing items 1-5 of 5
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Distributed Inference in Resource-Constrained IoT for Real-Time Video Surveillance
( IEEE , 2023 , Article)Advances in communication technologies and computational capabilities of Internet of Things (IoT) devices enable a range of complex applications that require ever increasing processing of sensors' data. An illustrative ... -
Identifying mortality risk factors amongst acute coronary syndrome patients admitted to Arabian Gulf hospitals using machine‐learning methods
( Wiley , 2019 , Article)Acute coronary syndrome (ACS) is a leading cause of mortality and morbidity in the Arabian Gulf. In this study, the in‐hospital mortality amongst patients admitted with ACS to Arabian Gulf hospitals is predicted using a ... -
MASACAD: a multiagent based approach to information customization
( IEEE , 2006 , Article)MASACAD is a multiagent information customization system that adopts the machine-learning paradigm to advise students by mining the Web. In the distributed problem-solving paradigm, systems can distribute among themselves ... -
Mathematics anxiety and cognition: An integrated neural network model
( De Gruyter , 2019 , Article)Many students suffer from anxiety when performing numerical calculations. Mathematics anxiety is a condition that has a negative effect on educational outcomes and future employment prospects. While there are a multitude ... -
Prognosis and Health Monitoring of Nonlinear Systems Using a Hybrid Scheme Through Integration of PFs and Neural Networks
( Institute of Electrical and Electronics Engineers Inc. , 2017 , Article)In this paper, a novel hybrid architecture is proposed for developing a prognosis and health monitoring methodology for nonlinear systems through integration of model-based and computationally intelligent-based techniques. ...