AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
2 papers indexed here
We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.
Not the right person? Other researchers publish under this name.
Onboard AI is gaining interest for space applications such as vessel, wildfire, and cloud detection, where real-time processing can improve mission reactivity and reduce downlink needs. However, onboard models may operate on raw or minimally processed imagery rather than on restored ground products. This study evaluate...
TriCCOT is introduced, a tri-part architecture for robust and deployable onboard object detection that combines a convolutional region proposal network, a conformal prediction stage, and Aper-GATES, the authors' hardware-friendly attention-based classifier, enabling unified CNN-Transformer inference for spaceborne embe...
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.