Stream Reasoning approach on Human Behavior for Medication Risks Detection using LARS Framework-Reference-Cited by-同舟云学术

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Stream Reasoning approach on Human Behavior for Medication Risks Detection using LARS Framework

Published:2023-10-25 Issue: Volume: Page:
ISSN:
Container-title:2023 5th International Conference on Pattern Analysis and Intelligent Systems (PAIS)
language:
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Author:

Nadia Agti¹,Lyazid Sabri¹,Okba Kazar²,Abdelghani Chibani³

Affiliation:

1. University of Mohamed El Bachir El Ibrahimi,Department of Computer Science,Bordj Bou Arreridj,Algeria

2. LINFI University of Biskra,Computer Sciences Department,Biskra,Algeria

3. Signals and Intelligent Systems University Paris-Est Vitry-sur-Seine,LISSI-The Laboratory of Images,Paris,France

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10321956/10321971/10322064.pdf?arnumber=10322064

Reference18 articles.

1. Healthylife: An activity recognition system with smartphone using logic-based stream reasoning;do;Mobile and Ubiquitous Systems Computing Networking and Services 9th International Conference MobiQuitous 2012 Beijing China December 12-14 2012,2013

2. MyActivity: Cloud-Hosted Continuous Activity Recognition Using Ontology-Based Stream Reasoning

3. Adaptive semantic stream reasoning for healthcare;de brouwer;Ph D Dissertation,2023

4. Stream Reasoning approach for Anticipating Human Activities in Ambient Intelligence environments

5. A logic programming approach to activity recognition

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