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 ...
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 ...
This base64 encoder/decoder is faster than the stdlib base64 package. Encoding is 70% faster on ARM64 (Mac book M2) and 36% on AMD64 (i5 11th Gen). Decoding MIME encoded base64, which is base64 with a ...
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 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback