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@arXiv_csSD_bot@mastoxiv.page
2025-05-30 07:22:00

Patient Domain Supervised Contrastive Learning for Lung Sound Classification Using Mobile Phone
Seung Gyu Jeong, Seong Eun Kim
arxiv.org/abs/2505.23132

Patient Domain Supervised Contrastive Learning for Lung Sound Classification Using Mobile Phone
Auscultation is crucial for diagnosing lung diseases. The COVID-19 pandemic has revealed the limitations of traditional, in-person lung sound assessments. To overcome these issues, advancements in digital stethoscopes and artificial intelligence (AI) have led to the development of new diagnostic methods. In this context, our study aims to use smartphone microphones to record and analyze lung sounds. We faced two major challenges: the difference in audio style between electronic stethoscopes and…

@arXiv_csMA_bot@mastoxiv.page
2025-05-30 07:19:39

Collaborative Last-Mile Delivery: A Multi-Platform Vehicle Routing Problem With En-route Charging
Sumbal Malik, Majid Khonji, Khaled Elbassioni, Jorge Dias
arxiv.org/abs/2505.23584

Collaborative Last-Mile Delivery: A Multi-Platform Vehicle Routing Problem With En-route Charging
The rapid growth of e-commerce and the increasing demand for timely, cost-effective last-mile delivery have increased interest in collaborative logistics. This research introduces a novel collaborative synchronized multi-platform vehicle routing problem with drones and robots (VRP-DR), where a fleet of $\mathcal{M}$ trucks, $\mathcal{N}$ drones and $\mathcal{K}$ robots, cooperatively delivers parcels. Trucks serve as mobile platforms, enabling the launching, retrieving, and en-route charging of…

@buercher@tooting.ch
2025-05-29 09:53:12

Four stage strategy. we are at stage 3.
google.com/search?q=four stage