Health Situation Analysis: Regional Aspect

2019 ◽  
pp. 201-207
Author(s):  
N.N. Sokolova ◽  
N.V. Zakharkina ◽  
I.V. Iljin ◽  
◽  
◽  
...  
Keyword(s):  
Situation Analysis ◽  
Regional Aspect ◽  
Health Situation

Cloud method of multi-granularity network security situation analysis

2009 ◽  
Vol 29 (2) ◽  
pp. 370-373 ◽  
Author(s):  
Dai-ping LIU ◽  
Xiao-hua DONG ◽  
Ming-wei ZHANG ◽  
Jia CHEN
Keyword(s):  
Network Security ◽  
Situation Analysis

Case study of achieving context-awareness based on predicate detection

2013 ◽  
Vol 33 (12) ◽  
pp. 3363-3367
Author(s):  
Chao FANG ◽  
Yiling YANG ◽  
Yu HUANG
Keyword(s):  
Context Awareness ◽  
Predicate Detection

scholarly journals A Concept for Context Awareness in Smart Environments

2020 ◽  
Vol 6 (3) ◽  
pp. 380-383
Author(s):  
Jochen Bauer ◽  
Michael Hechtel ◽  
Martin Holzwarth ◽  
Julian Sessner ◽  
Jörg Franke ◽  
...  
Keyword(s):  
Context Awareness ◽  
Smart Home ◽  
Daily Life ◽  
Smart Environments ◽  
Emotion Detection ◽  
Post Intervention ◽  
Detection Software

AbstractAll aspects of daily life increasingly include digitization. So-called „smart home“ technologies, as well as „wearables“, are gaining attention from more and more dwellers. Therefore, sensor-based, individualized, AI-based services for improved post-intervention monitoring and therapy accompaniment will become feasible and possible if these systems offer a related context-awareness. This paper provides an approach on how to sense and interpret specific contexts with the help of wearables, smartwatches, smart home sensors, and emotion detection software.

scholarly journals Context-aware recommender systems and cultural heritage: a survey

2021 ◽  
Author(s):  
Mario Casillo ◽  
Francesco Colace ◽  
Dajana Conte ◽  
Marco Lombardi ◽  
Domenico Santaniello ◽  
...  
Keyword(s):  
Cultural Heritage ◽  
Recommender Systems ◽  
Context Awareness ◽  
Technological Development ◽  
Context Aware ◽  
Human Beings ◽  
Context Analysis ◽  
Analysis Techniques ◽  
The Right ◽  
Technological Improvements

AbstractIn the Big Data era, every sector has adapted to technological development to service the vast amount of information available. In this way, each field has benefited from technological improvements over the years. The cultural and artistic field was no exception, and several studies contributed to the aim of the interaction between human beings and artistic-cultural heritage. In this scenario, systems able to analyze the current situation and recommend the right services play a crucial role. In particular, in the Recommender Systems field, Context-Awareness helps to improve the recommendations provided. This article aims to present a general overview of the introduction of Context analysis techniques in Recommender Systems and discuss some challenging applications to the Cultural Heritage field.

Sign in / Sign up

Export Citation Format

Share Document