An Agent-Based Social Simulation for Citizenship Competences and Conflict Resolution Styles

Avila, Cecilia; Balaguera, Manuel Ignacio; Morales, Valentina Tabares

doi:10.4018/ijswis.306749

Cited by 6 publications

(2 citation statements)

References 42 publications

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“…Social media also presents challenges and opportunities for sport psychology practitioners, who need to communicate with their clients through platforms like Facebook, Instagram, and Twitter (Cotterill, 2020;Hamadeh et al, 2020;Ginzarly, 2021). Additionally, social media, particularly Twitter, is widely used in intercollegiate athletics, and it has both advantages and disadvantages for college students (David et al, 2018;Possik et al, 2022;Avila-Garzon et al, 2022). Athletes' use of Facebook is also important, as it can impact their privacy and how they are represented online.…”

Section: Impact Of Social Media On Athletic Psychologymentioning

confidence: 99%

Exploring the Intersection of Athletic Psychology and Emerging Technologies

Li,

Chui

et al. 2023

International Journal on Semantic Web and Information Systems

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This paper delves into the dynamic intersection of athletic psychology and emerging technologies, aiming to understand their interplay and implications for sports performance. The study examines the latest research and literature in this field, encompassing the use of social media, digital devices, and virtual reality as technological advancements. It explores the impact of these technologies on athlete psychology, mental resilience, motivation, and goal setting. By analyzing country-specific scientific production, author contributions, and keyword trends, the paper provides insights into the global landscape of research in athletic psychology and emerging technologies. The findings contribute to a better understanding of the evolving relationship between technology and athlete psychology, offering potential avenues for optimizing performance, mental well-being, and training strategies in the realm of sports.

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Section: Impact Of Social Media On Athletic Psychologymentioning

confidence: 99%

Exploring the Intersection of Athletic Psychology and Emerging Technologies

Li,

Chui

et al. 2023

International Journal on Semantic Web and Information Systems

View full text Add to dashboard Cite

show abstract

“…The need for IoT security in smart cities is of paramount importance due to the potential risks and vulnerabilities associated with interconnected devices and systems [12][13][14]. As the adoption of the IoT in smart cities continues to grow, it is crucial to address the security challenges that arise.…”

Section: Introductionmentioning

confidence: 99%

A Novel Hybrid Convolutional Neural Network- and Gated Recurrent Unit-Based Paradigm for IoT Network Traffic Attack Detection in Smart Cities

Gupta,

Chui,

Gaurav

et al. 2023

Sensors

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Internet of Things (IoT) devices within smart cities, require innovative detection methods. This paper addresses this critical challenge by introducing a deep learning-based approach for the detection of network traffic attacks in IoT ecosystems. Leveraging the Kaggle dataset, our model integrates Convolutional Neural Networks (CNNs) and Gated Recurrent Units (GRUs) to capture both spatial and sequential features in network traffic data. We trained and evaluated our model over ten epochs, achieving an impressive overall accuracy rate of 99%. The classification report reveals the model’s proficiency in distinguishing various attack categories, including ‘Normal’, ‘DoS’ (Denial of Service), ‘Probe’, ‘U2R’ (User to Root), and ‘Sybil’. Additionally, the confusion matrix offers valuable insights into the model’s performance across these attack types. In terms of overall accuracy, our model achieves an impressive accuracy rate of 99% across all attack categories. The weighted- average F1-score is also 99%, showcasing the model’s robust performance in classifying network traffic attacks in IoT devices for smart cities. This advanced architecture exhibits the potential to fortify IoT device security in the complex landscape of smart cities, effectively contributing to the safeguarding of critical infrastructure

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