Machine vision systems that sense, interpret, and act on visual data within strict time limits underpin applications from autonomous driving and industrial inspection to UAVs, precision agriculture, and image-guided surgery. Background: Deep learning has pushed detection, segmentation, and tracking accuracy well past e...
Background: Chronic disease management, an ageing global population, and the aftermath of the COVID-19 pandemic have pushed real-time, continuous health monitoring from a research curiosity toward routine clinical practice. Artificial intelligence (AI), the Internet of Medical Things (IoMT), edge computing, and next-ge...
The paradigms of the generative adversarial networks (GANs), variational autoencoders (VAEs), transformer-based designs, and diffusion models, with the last one representing the state of the art in image generation models are discussed.
Task offloading is a key enabler for delay-sensitive Internet of Vehicles (IoV) services, where vehicular applications must be executed under strict latency constraints. This paper proposes a Proximal Policy Optimization (PPO)-based binary offloading framework that selects between Multi-access Edge Computing (MEC) and...
Kaouther Gasmi, Marco Mamei, Sergio Saponara· International Conference on...· 0 citations
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