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Resource Allocation Using Deep Deterministic Policy Gradient-Based Federated Learning for Multi-Access Edge Computing
The study focuses on utilizing the computational resources present in vehicles to enhance the performance of multi-access edge computing (MEC)...
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Comparing and Improving Active Learning Uncertainty Measures for Transformer Models by Discarding Outliers
Despite achieving state-of-the-art results in nearly all Natural Language Processing applications, fine-tuning Transformer-encoder based language...
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Acnn: arbitrary trace attacks based on leakage area detection
Deep Learning-based Side-Channel Analysis (DL-SCA) has emerged as a powerful method in the field of side-channel analysis. Current works on DL-SCA...
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Skyline-based Exploration of Temporal Property Graphs
In this paper, we focus on temporal property graphs, that is, property graphs whose labeled nodes and edges as well as the values of the properties...
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Impact Assessment as a Legal Design Pattern—A “Timeless Way” of Managing Future Risks?
Impact assessments are increasingly employed and debated as instruments for mitigating the fundamental rights risks associated with artificial...
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Technology and pronouns: disrupting the ‘Natural Attitude about Gender’
I consider how video conferencing platforms have changed practices of pronoun sharing, how this development fits into recent philosophical work on...
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Combating Fake News Using Implementation Intentions
The rise of misinformation on social media platforms is an extremely worrisome issue and calls for the development of interventions and strategies to...
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Using Design Patterns to Build and Maintain the Rule of Law
Law is, and has, an architecture. This article investigates that architecture by reference to the idea of ‘pattern languages’, as described in...
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Exploiting Shared Sub-Expression and Materialized View Reuse for Multi-Query Optimization
Querying in isolation lacks the potential of reusing intermediate results, which ends up wasting computational resources. Multi-Query Optimization...
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The impacts of relevance of recommendations and goal commitment on user experience in news recommender design
Cold start and data sparsity are problems hindering the function of news recommender systems. Optimally serving first-time users through relevant...
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Residual attention UNet GAN Model for enhancing the intelligent agents in retinal image analysis
A unique method for improving the intelligent agents in retinal image processing is the proposed RAUGAN (Residual Attention UNet GAN) model....
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Map** the landscape of ethical considerations in explainable AI research
With its potential to contribute to the ethical governance of AI, eXplainable AI (XAI) research frequently asserts its relevance to ethical...
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Patterns and factors associated with dental service utilization among insured people: a data mining approach
BackgroundInsurance databases contain valuable information related to the use of dental services. This data is instrumental in decision-making...
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An Economic Framework for Creating AI-Augmented Solutions Across Countries Over Time
This paper examines the potential for collaboration between countries with differential resource endowments to advance AI innovation and achieve...
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Modelling forest fire dynamics using conditional variational autoencoders
Forest fires have far-reaching consequences, threatening human life, economic stability, and the environment. Understanding the dynamics of forest...
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Generalisable sensor-free frustration detection in online learning environments using machine learning
Learning can generally be categorised into three domains, which include cognitive (thinking), affective (emotions or feeling) and psychomotor...
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Development of a quantitative index system for evaluating the quality of electronic medical records in disease risk intelligent prediction
ObjectiveThis study aimed to develop and validate a quantitative index system for evaluating the data quality of Electronic Medical Records (EMR) in...
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A tree-based explainable AI model for early detection of Covid-19 using physiological data
With the outbreak of COVID-19 in 2020, countries worldwide faced significant concerns and challenges. Various studies have emerged utilizing...
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Linguistics-based dialogue simulations to evaluate argumentative conversational recommender systems
Conversational recommender systems aim at recommending the most relevant information for users based on textual or spoken dialogues, through which...
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Motivation of persons with cerebral palsy through participatory design: where there is a will, there is a way
Researchers and practitioners have been seeking the active participation of persons with disabilities (PwD) in participatory design (PD) to assign a...
