Event Prediction Based on Unsupervised Graph-Based Rank-Fusion Models

2019 ◽  
pp. 88-98 ◽  
Author(s):  
Icaro Cavalcante Dourado ◽  
Salvatore Tabbone ◽  
Ricardo da Silva Torres
Keyword(s):  
Event Prediction

A Research Study on Event Prediction in IoT Based Upon WBAN

2018 ◽  
Vol 8 (5) ◽  
pp. 116
Author(s):  
Krittika Singh
Keyword(s):  
Research Study ◽  
Network Connectivity ◽  
Physical World ◽  
Flight Schedules ◽  
Event Prediction ◽  
Software Sensors ◽  
Medical Emergencies ◽  
Computer Based ◽  
The Internet Of Things ◽  
Exchange Data

The Internet of things is the internetworking of physical devices, vehicles, buildings, and other items—embedded with electronics, software, sensors, actuators, and network connectivity that enable these objects to collect and exchange data. The IoT allows objects to be sensed and/or controlled remotely across existing network infrastructure, creating opportunities for more direct integration of the physical world into computer-based systems, and resulting in improved efficiency, accuracy and economic benefit in addition to reduced human intervention. In this research an expert system based upon the IOT is developed in which the next event in the flight schedules due to any kind of medical emergencies is to be predicted. For this the medical data of all the patients are to be collected through WBAN.

Modelling Fixed Odds Betting for Future Event Prediction

2015 ◽  
Author(s):  
Weiyun Chen ◽  
Xin Li ◽  
Daniel Dajun Zeng
Keyword(s):  
Future Event ◽  
Event Prediction

scholarly journals Event Prediction Technology Based on Graph Neural Network

2021 ◽  
Vol 1852 (4) ◽  
pp. 042037
Author(s):  
Qiang Fu ◽  
Yongchao Wei
Keyword(s):  
Neural Network ◽  
Event Prediction

On-line rule matching for event prediction

2010 ◽  
Vol 20 (3) ◽  
pp. 303-334 ◽  
Author(s):  
Chung-Wen Cho ◽  
Yi-Hung Wu ◽  
Show-Jane Yen ◽  
Ying Zheng ◽  
Arbee L. P. Chen
Keyword(s):  
Event Prediction ◽  
On Line

scholarly journals AEP-DLA: Adverse Event Prediction in Hospitalized Adult Patients Using Deep Learning Algorithms

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 55673-55689
Author(s):  
Chieh-Liang Wu ◽  
Ming-Ju Wu ◽  
Lun-Chi Chen ◽  
Ying-Chih Lo ◽  
Chien-Chung Huang ◽  
...  
Keyword(s):  
Adverse Event ◽  
Deep Learning ◽  
Learning Algorithms ◽  
Adult Patients ◽  
Event Prediction
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