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Human risky behaviour recognition during ladder climbing based on multi-modal feature fusion and adaptive graph convolutional network
Human falls during ladder climbing are typically instantaneous, making the timely and accurate determination of security risks during ladder climbing...
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Persuasive strategies and emotional states: towards designing personalized and emotion-adaptive persuasive systems
Persuasive strategies have been widely operationalized in systems or applications to motivate behaviour change across diverse domains. However, no...
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Adaptive user interfaces in systems targeting chronic disease: a systematic literature review
eHealth technologies have been increasingly used to foster proactive self-management skills for patients with chronic diseases. However, it is...
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Comparing perfomance abstractions for collective adaptive systems
Non-functional properties of collective adaptive systems (CAS) are of paramount relevance practically in any application. This paper compares two...
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A cross-setting study of user unlocking behaviour in a graphical authentication scheme: a case study on android Pattern Unlock
Pattern Unlock studies have shown that users’ patterns exhibit biases that could result in ease of compromise. These biases range from the choice of...
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Strong form mesh-free hp-adaptive solution of linear elasticity problem
We present an algorithm for hp -adaptive collocation-based mesh-free numerical analysis of partial differential equations. Our solution procedure...
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Rigorous engineering of collective adaptive systems – 2nd special section
An adaptive system is able to adapt at runtime to dynamically changing environments and to new requirements. Adaptive systems can be single adaptive...
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Improving quality of experience in adaptive low latency live streaming
HTTP Adaptive Streaming (HAS), the most prominent technology for streaming video over the Internet, suffers from high end-to-end latency when...
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DriveSense: Adaptive System for Driving Behaviour Analysis and Ranking
Abnormal drivers are individuals who drive above the speed limit, change speed suddenly, or change vehicle lateral position incessantly. Monitoring... -
Exploring the potential of parallel adaptive filters for audio noise removal
This paper presents a novel adaptive structure for audio noise removal, aiming to enhance the performance of noise reduction. The proposed structure...
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DSAT-IDS: Dissimilarity and Adaptive Threshold-based Intrusion Detection system to mitigate selective forwarding attack in the RPL-based 6LoWPAN
The RPL routing protocol is susceptible to Selective Forwarding Attack (SFA), wherein malicious nodes selectively forward certain packets while...
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ABNGrad: adaptive step size gradient descent for optimizing neural networks
AbstractStochastic adaptive gradient decent algorithms, such as AdaGrad and Adam, are extensively used to train deep neural networks. However,...
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Medical students' perceptions of a novel international adaptive progress test
Between 2018–2021, eight European medical schools took part in a study to develop a medical knowledge Online Adaptive International Progress Test....
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Adaptive step-size control for global approximation of SDEs driven by countably dimensional Wiener process
In this paper, we deal with the global approximation of solutions of stochastic differential equations (SDEs) driven by countably dimensional Wiener...
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Adaptive learning in computer science education: A sco** review
Adaptive learning is a teaching approach aiming to personalize the learning experience for each student. In Computer Science Education (CSE),...
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An energy-efficient black widow-based adaptive VM placement approach for cloud computing
The demand for cloud-based computation is increasing exponentially in the age of information technology virtualization, which is increasing data...
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Belief space-guided approach to self-adaptive particle swarm optimization
Particle swarm optimization (PSO) performance is sensitive to the control parameter values used, but tuning of control parameters for the problem at...
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On Becoming in Sync with Yourself and Others: An Adaptive Agent Model for How Persons Connect by Detecting Intrapersonal and Interpersonal Synchrony
Research indicates that interpersonal synchronisation leads to more closeness, mutual coordination, alliance, or affiliation between the synchronized...
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KnowLang – A Formal Specification Model for Self-adaptive Systems
KnowLang is a framework for knowledge representation and reasoning (KR &R) that aims at efficient and comprehensive knowledge structuring and... -
Emotional intelligence and individuals’ viewing behaviour of human faces: a predictive approach
Although several studies have looked at the relationship between emotional characteristics and viewing behaviour, understanding how emotional...