The application of machine learning in self-adaptive systems: A systematic literature review
Context: Self-adaptive systems have been studied in software engineering over the past few
decades attempting to address challenges within the field. There is a continuous significant …
decades attempting to address challenges within the field. There is a continuous significant …
Goal-oriented requirements engineering: State of the art and research trend
Abstract The Goal-Oriented Requirements Engineering (GORE) is one approach that is
widely used for the early stages of software development. This method continues to develop …
widely used for the early stages of software development. This method continues to develop …
Body sensor network: A self-adaptive system exemplar in the healthcare domain
Recent worldwide events shed light on the need of human-centered systems engineering in
the healthcare domain. These systems must be prepared to evolve quickly but safely …
the healthcare domain. These systems must be prepared to evolve quickly but safely …
Compliance Source Authentication Technique for Person Adaptation Networks Utilizing Deep Learning-based Patterns Segmentation
Due to delivering flexible access to apps and assisted support, individual systems with
adaptive capabilities adjust their behaviour in response to input. The adaptation process …
adaptive capabilities adjust their behaviour in response to input. The adaptation process …
Timed-SAS: Modeling and Analyzing the Time Behaviors of Self-Adaptive Software under Uncertainty
D Han, Y Cai, WJ Chen, Z Cui, A Li - Applied Sciences, 2023 - mdpi.com
Featured Application The Timed-SAS approach can be used to design and quantitatively
analyze the complex self-adaptive software systems, such as cloud computing systems …
analyze the complex self-adaptive software systems, such as cloud computing systems …
Using a data-driven context model to support the elicitation of context-aware functionalities–a controlled experiment
Background: Context modeling to support the elicitation of context-aware functionalities has
been overlooked due to its high complexity. To help overcome this, we have implemented a …
been overlooked due to its high complexity. To help overcome this, we have implemented a …
K-means clustering algorithm for determination of clustering of Bangkalan regional development potential
AF Doni, YDP Negera, OAH Maria - Journal of Physics …, 2020 - iopscience.iop.org
Regional potential is the ability of an area that can be developed to improve the area
according to its regional characteristics. This potential can cover social, economic …
according to its regional characteristics. This potential can cover social, economic …
Design and application of adolescent mental health data mining and management system
Y Zhaorong, C Yiwen - … Conference on Smart Grid and Electrical …, 2019 - ieeexplore.ieee.org
The design and development of the adolescent mental health information management
system is mainly to further improve the information management of adolescent mental health …
system is mainly to further improve the information management of adolescent mental health …
An approach based on situation analysis and separation of environment perception to implement adaptive strategies
J Chen, Y Shao, W Jiao - 2020 International Conference on …, 2020 - ieeexplore.ieee.org
In the existing research, most software adaptation is triggered by changes in the
environment. However, the environment of a software system is characterized by uncertainty …
environment. However, the environment of a software system is characterized by uncertainty …
[PDF][PDF] Mining World Talent Indicators among OECD Economies Based on Gini Index
DF Chang, CC Chen - ICIC express letters. Part B, Applications: an …, 2019 - spirit.tku.edu.tw
This study selected OECD 35 economics as the research target to tackle the equality with
their World Talent survey data. The data with three different catalogues from 2014 to 2018 …
their World Talent survey data. The data with three different catalogues from 2014 to 2018 …