Garuda - Garba Rujukan Digital

Intelligent Infrastructure for Urban Transportation: The Role of Artificial Intelligence in Predictive Maintenance Alqasi, Mohammed Ali Younus; Alkelanie, Youssif Ahmed Mohamed; Alnagrat, Ahmed Jamah Ahmed
Brilliance: Research of Artificial Intelligence Vol. 4 No. 2 (2024): Brilliance: Research of Artificial Intelligence, Article Research November 2024
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v4i2.4889

Urban transportation infrastructure, encompassing roads, bridges, and tunnels, is vital for city mobility but remains vulnerable to wear and damage over time. Traditional maintenance methods, which rely on reactive repairs and scheduled inspections, often fall short in preventing sudden failures, resulting in costly disruptions and safety risks. This study examines how artificial intelligence (AI) is revolutionizing infrastructure management through predictive maintenance. By deploying smart sensors and utilizing predictive analytics, AI enables the continuous monitoring of structural health and the proactive identification of potential issues before they escalate into serious failures. The research develops and tests an AI-based predictive maintenance model, which analyzes real-time data from embedded sensors in urban infrastructure to detect anomalies and predict failure patterns. Results indicate that the predictive maintenance model can enhance response times, reduce maintenance costs by 30%, and prevent approximately 92% of unexpected failures. These findings underscore the potential of AI-driven approaches to reduce unplanned disruptions, optimize resource allocation, and extend infrastructure lifespan, ultimately creating safer and more sustainable urban transportation systems. However, challenges in data variability and environmental interference are noted, suggesting areas for future refinement. This study provides a framework for integrating AI in urban infrastructure maintenance, highlighting its potential to transform how cities approach long-term infrastructure health and reliability.

Learning in Immersive Virtual Worlds from the Perspective of Media Didactics Salem, Asma Al Mokhtar Miftah Alhaj; Alfaqi, Rawad Mansour Abdulhafith; Alnagrat, Ahmed Jamah Ahmed
Brilliance: Research of Artificial Intelligence Vol. 4 No. 2 (2024): Brilliance: Research of Artificial Intelligence, Article Research November 2024
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v4i2.4893

Virtual Reality (VR) technologies are increasingly recognized for their potential to enrich educational settings, yet their integration often emphasizes technological novelty over pedagogical effectiveness. In the domain of media didactics, VR’s value lies not only in its immersive and interactive capabilities but also in its capacity to fulfill specific educational objectives through structured engagement. This study explores the role of immersive VR environments in supporting educational activities by aligning VR’s affordances—such as realism, interactivity, and user engagement—with established didactic principles. The primary objective is to provide a framework that encourages educators to implement VR in ways that are pedagogically sound, thereby enhancing learner engagement and skill acquisition. Using a qualitative approach, the study synthesizes recent literature and analyzes case studies within four key VR applications: training environments, construction tools, exploration experiences, and experimental simulations. Results indicate that VR significantly contributes to experiential learning across these domains, with applications including skill-based training in virtual workshops, exploratory learning through virtual field trips, and controlled experimentation that supports hypothesis testing in virtual worlds. The study concludes that VR holds transformative potential for education; however, its impact is maximized when embedded within a purposeful didactic framework. By aligning VR applications with clear educational goals, VR can foster cognitive and emotional engagement, improving learning outcomes across diverse disciplines.

Intelligent Infrastructure for Urban Transportation: The Role of Artificial Intelligence in Predictive Maintenance Alqasi, Mohammed Ali Younus; Alkelanie, Youssif Ahmed Mohamed; Alnagrat, Ahmed Jamah Ahmed
Brilliance: Research of Artificial Intelligence Vol. 4 No. 2 (2024): Brilliance: Research of Artificial Intelligence, Article Research November 2024
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v4i2.4889

Urban transportation infrastructure, encompassing roads, bridges, and tunnels, is vital for city mobility but remains vulnerable to wear and damage over time. Traditional maintenance methods, which rely on reactive repairs and scheduled inspections, often fall short in preventing sudden failures, resulting in costly disruptions and safety risks. This study examines how artificial intelligence (AI) is revolutionizing infrastructure management through predictive maintenance. By deploying smart sensors and utilizing predictive analytics, AI enables the continuous monitoring of structural health and the proactive identification of potential issues before they escalate into serious failures. The research develops and tests an AI-based predictive maintenance model, which analyzes real-time data from embedded sensors in urban infrastructure to detect anomalies and predict failure patterns. Results indicate that the predictive maintenance model can enhance response times, reduce maintenance costs by 30%, and prevent approximately 92% of unexpected failures. These findings underscore the potential of AI-driven approaches to reduce unplanned disruptions, optimize resource allocation, and extend infrastructure lifespan, ultimately creating safer and more sustainable urban transportation systems. However, challenges in data variability and environmental interference are noted, suggesting areas for future refinement. This study provides a framework for integrating AI in urban infrastructure maintenance, highlighting its potential to transform how cities approach long-term infrastructure health and reliability.

Learning in Immersive Virtual Worlds from the Perspective of Media Didactics Salem, Asma Al Mokhtar Miftah Alhaj; Alfaqi, Rawad Mansour Abdulhafith; Alnagrat, Ahmed Jamah Ahmed
Brilliance: Research of Artificial Intelligence Vol. 4 No. 2 (2024): Brilliance: Research of Artificial Intelligence, Article Research November 2024
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v4i2.4893

Virtual Reality (VR) technologies are increasingly recognized for their potential to enrich educational settings, yet their integration often emphasizes technological novelty over pedagogical effectiveness. In the domain of media didactics, VR’s value lies not only in its immersive and interactive capabilities but also in its capacity to fulfill specific educational objectives through structured engagement. This study explores the role of immersive VR environments in supporting educational activities by aligning VR’s affordances—such as realism, interactivity, and user engagement—with established didactic principles. The primary objective is to provide a framework that encourages educators to implement VR in ways that are pedagogically sound, thereby enhancing learner engagement and skill acquisition. Using a qualitative approach, the study synthesizes recent literature and analyzes case studies within four key VR applications: training environments, construction tools, exploration experiences, and experimental simulations. Results indicate that VR significantly contributes to experiential learning across these domains, with applications including skill-based training in virtual workshops, exploratory learning through virtual field trips, and controlled experimentation that supports hypothesis testing in virtual worlds. The study concludes that VR holds transformative potential for education; however, its impact is maximized when embedded within a purposeful didactic framework. By aligning VR applications with clear educational goals, VR can foster cognitive and emotional engagement, improving learning outcomes across diverse disciplines.

Harnessing Artificial Intelligence for Education Reform in Libya: Opportunities and Challenges Aboseta , Abdarahmah Kamees A Aboseta; Salem, Asma Al Mokhtar Miftah Alhaj; Alnagrat, Ahmed Jamah Ahmed
PERFECT: Journal of Smart Algorithms Vol. 2 No. 2 (2025): PERFECT: Journal of Smart Algorithms, Article Research July 2025
Publisher : LEMBAGA KAJIAN PEMBANGUNAN PERTANIAN DAN LINGKUNGAN (LKPPL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62671/perfect.v2i2.117

Many education systems are seeking ways to improve teaching quality, personalize learning, and increase administrative efficiency. Libya faces recovery challenges and regional disparities that make scalable solutions especially important. Objective: This study examines how artificial intelligence could contribute to education reform in Libya while safeguarding equity, privacy, and academic integrity. Methods: We conducted a scoping review of recent empirical studies and policy documents, compared implementation frameworks, and completed a Libya‑focused desk review on governance, infrastructure, human capacity, and curriculum‑aligned content. Results: The synthesis indicates that intelligent tutoring, adaptive practice, automated feedback for low‑stakes writing, and responsible data use can support gains in achievement and teacher efficiency when aligned with curriculum and accompanied by sustained professional development. Constraints include uneven connectivity, capacity gaps, and limited high‑quality Arabic content; these factors can widen disparities if not addressed. Conclusion: A staged roadmap is proposed that prioritizes national guidance and safeguards, teacher capacity building, targeted pilots in foundational literacy, mathematics, and writing support, and careful scale‑up based on evidence and inclusiveness across regions.

Title

Found 5 Documents
Search

Abstract

Abstract

Abstract

Abstract

Abstract

Title Search

Found 5 Documents Search

Abstract

Abstract

Abstract

Abstract

Abstract

Title

Found 5 Documents
Search