Browsing by Author "Arya, V."

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    Automated Marine Debris Detection from Sentinel-2 Satellite Imagery
    (Institute of Electrical and Electronics Engineers Inc., 2024) Priyadarshini, R.; Arya, V.; Sowmya Kamath, S.
    Marine debris present a severe, escalating threat to oceans and coastal ecosystems, requiring effective monitoring and detection. This work proposes an automated marine debris detection system utilizing satellite imagery data from the MARIDA dataset, sourced from Sentinel-2. Advanced AI techniques are leveraged to analyze high-resolution satellite imagery, and the models are trained to facilitate the identification/tracking of marine debris across various water bodies. Experiments reveal that the machine learning models form a robust baseline, while the UNet model achieves improved precision. The proposed Attention-activated UNet model achieved the best performance, particularly in challenging conditions. © 2024 IEEE.
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    Quality Dimensions of Augmented Reality-based Mobile Apps for Smart-Tourism and its Impact on Customer Satisfaction & Reuse Intention
    (Routledge, 2023) Anand, K.; Arya, V.; Sheena, S.; Sharma, A.
    The COVID-19 pandemic has severely affected the tourism industry, with national lockdowns aimed at curbing the spread of the virus mandating travel restrictions and prohibiting events and gatherings. The shift to online video conferencing tools, which offer limited interactivity, has spurred the need to integrate augmented reality (AR) in various contexts, such as meetings, exhibitions, museums, and travel. This quantitative study examines visitors’ perspectives on AR-based apps in tourism. It investigates the influence of three kinds of quality determinants, such as information quality, system quality, and service quality, on visitors’ perspectives on AR apps. Their impact on visitor satisfaction ultimately triggers visitors to reuse AR-based mobile apps. The research makes a theoretical contribution to the literature on AR and the quality dimensions of mobile apps. We expect demand for AR-based apps to rapidly increase, as people continue to follow preventive measures even after COVID-19. © 2022 Informa UK Limited, trading as Taylor & Francis Group.