Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Mohammed R. Elkobaisi"'
Publikováno v:
Sensors, Vol 20, Iss 3, p 825 (2020)
Due to significant advances in sensor technology, studies towards activity recognition have gained interest and maturity in the last few years. Existing machine learning algorithms have demonstrated promising results by classifying activities whose i
Externí odkaz:
https://doaj.org/article/59b897428bb344f7bd35632f624ecd7d
Autor:
Mohammed R. Elkobaisi, Fadi Al Machot
Publikováno v:
Journal of Ambient Intelligence and Humanized Computing. 13:4009-4017
The use of IoT-based Emotion Recognition (ER) systems is in increasing demand in many domains such as active and assisted living (AAL), health care and industry. Combining the emotion and the context in a unified system could enhance the human suppor
Publikováno v:
SN Computer Science. 3
Emotions are an essential part of a person’s mental state and influence her/his behavior accordingly. Consequently, emotion recognition and assessment can play an important role in supporting people with ambient assistance systems or clinical treat
Publikováno v:
Sensors, Vol 20, Iss 3, p 825 (2020)
Sensors
Volume 20
Issue 3
Sensors (Basel, Switzerland)
Sensors
Volume 20
Issue 3
Sensors (Basel, Switzerland)
Due to significant advances in sensor technology, studies towards activity recognition have gained interest and maturity in the last few years. Existing machine learning algorithms have demonstrated promising results by classifying activities whose i
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030658465
ER (Workshops)
ER (Workshops)
Human emotions are considered as decision factors in specific knowledge-based systems. However, there is neither a consolidated conceptualization of the emotion domain nor a widely used modeling language, let alone a method. To close this gap, this p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9eecc3bc74cb5bd89c3821945e73b70b
https://doi.org/10.1007/978-3-030-65847-2_7
https://doi.org/10.1007/978-3-030-65847-2_7
Publikováno v:
Computers & Electrical Engineering. 61:275-286
In this article, a new agent approach has been proposed for recognizing the research trends in wearable systems. In addition, we have formulated a mathematical model to predict the agent development trends in the field of wearable systems. The propos
Publikováno v:
2016 International Conference on Engineering & MIS (ICEMIS)
This paper highlights the functionality of object-based database systems by comparing the performance of relational database (RDB) and object-relational database (ORDB) systems. The study focuses on assessing the efficiency of database systems based
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9be455826aca1ced85e5782363ed7b5e
Publikováno v:
Proceedings of the The International Conference on Engineering & MIS 2015.
This paper presents a novel approach to recognize research trends in a particular domain of research (i.e. Agent development) that is based on the number of data extracted from search engines. Several well-known mathematical and statistical theories