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A Review of Deep Learning-Based Automated Biometric Attendance Monitoring Systems for Educational Institutions: Algorithms, Architectures, and Deployment Challenges
Automated biometric attendance monitoring has emerged as a critical research domain within educational technology, driven by the persistent limitations of conventional attendance methods such as manual roll calls, sign-in sheets, and card-based systems. Recent advances in deep learning and computer vision have substantially transformed this field, enabling the development of robust, contactless, and scalable face …
Labor Force Participation Gaps in Sri Lanka, Gender Disparities, Youth Unemployment, and Sectoral Shifts
This study examines the evolution of Sri Lanka’s labor market over the critical decade spanning 2014-2024, analyzing data from the Annual Labour Force Survey to identify structural transformations, persistent inequalities, and emerging challenges. Using a decade-long longitudinal analysis, the research investigates trends in labor force participation rates, unemployment patterns disaggregated by gender and age, sectoral …
Reframing Relic-Based Spiritual Tourism in Anuradhapura
The historic city of Anuradhapura represents a deeply layered sacred landscape shaped by relic veneration, ritual continuity, and Buddhist philosophical traditions over more than two millennia. Anchored by revered sites such as Ruwanweliseya and the Jaya Sri Maha Bodhi, the city holds exceptional spiritual and cultural values. However, its translation into a cohesive and globally …
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