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This study analyses the relationship between air quality and sentiments expressed on social media, focusing on the Saharan dust episode that affected Lisbon in March 2022. Environmental data were collected alongside geolocated Twitter posts (now rebranded as X) from the Lisbon area. The content of these posts was analysed using the Valence Aware Dictionary and sEntiment Reasoner...

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Proactive Infrastructure Monitoring in Smart Cities via WSNs

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Medical vision foundation models pretrained on large-scale domain-specific data achieve strong clinical performance, but their computational cost precludes deployment on resource-constrained edge devices. We investigate whether the domain-specific representations of a medical foundation model transfer more effectively through knowledge distillation (KD) than generic ImageNet-pre...

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As transportation networks grow increasingly complex and data-rich, the need for intelligent, adaptive routing mechanisms has become essential for efficient and resilient mobility operations. This study presents a deep learning–enabled framework for real-time dynamic route optimization in logistics systems, addressing fundamental limitations of traditional static routing and heu...

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