Abstract: Traffic flow prediction is critical for Intelligent Transportation Systems to alleviate congestion and optimize traffic management. The existing basic Encoder-Decoder Transformer model for ...
Abstract: Transformers are widely used in natural language processing and computer vision, and Bidirectional Encoder Representations from Transformers (BERT) is one of the most popular pre-trained ...
Abstract: The ionosphere is vital for satellite navigation and radio communication, but observational limitations necessitate ionospheric forecasting. The least squares collocation (LSC) method is ...
Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...
What is a rotary encoder? A rotary encoder looks like a potentiometer, but it is fundamentally different. A rotary encoder can rotate freely unlike a potentiometer and instead of variating resistance, ...
OVERVIEW This repository contains PyTorch Lightning code for training and evaluating the PE-AG-GMoE model. It supports single- and multi-GPU runs (DDP), gradient accumulation and automatic ...
The pretrain-finetune paradigm has achieved great success in NLP and 2D image fields because of the high-quality representation ability and transferability of their pretrained models. However, ...
Abstract: To address the shortcomings of existing knowledge extraction techniques in semantic fusion, variable-length processing, and long tail discrimination, this paper proposes a method of sentence ...
Semantic communications focus on understanding the meaning behind transmitted data, ensuring effective task execution and seamless information exchange. However, when AI-native devices employ ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results