Point cloud semantic segmentation technology for road scenes plays an important role in the field of autonomous driving. However, accurate semantic segmentation of large-scale and non-uniformly dense ...
This research paper presents a proactive approach to congestion control in IoT networks using an encoder–decoder LSTM (ED-LSTM) model to predict packet loss ratios ahead of time. By forecasting ...
ABSTRACT: This work presents an innovative Intrusion Detection System (IDS) for Edge-IoT environments, based on an unsupervised architecture combining LSTM networks and Autoencoders. Deployed on ...
ABSTRACT: Magnetic Resonance Imaging (MRI) is commonly applied to clinical diagnostics owing to its high soft-tissue contrast and lack of invasiveness. However, its sensitivity to noise, attributable ...
Call it the return of Clippy — this time with AI. Microsoft’s new small language model shows us the future of interfaces. Microsoft announced this week a new generative AI (genAI) system called Mu, ...
I've been transcoding videos on handbrake using AV1 which I think is the latest encoder. AV1 on the Mac is often incredibly efficient. I'm talking 3gb -> 300mb efficient. Even tougher material with ...
A recent paper from Friedrich-Alexander University benchmarks energy consumption and compression efficiency for six video codecs across software and hardware decoders. While the study uses VP9 as a ...
Transformers are the backbone of modern Large Language Models (LLMs) like GPT, BERT, and LLaMA. They excel at processing and generating text by leveraging intricate mechanisms like self-attention and ...
Abstract: In urban road scenarios with coexistence of vehicles and pedestrians, the ability of predicting pedestrians' future position is essential for the intelligent vehicle to avoid potential ...
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