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 ...

Get ready for your aha moment: Every weekday, host Meghna Chakrabarti pierces your news bubble to expose the whole story. Getting answers to the questions that need to be asked, examining our history ...

Semantic communications focus on understanding the meaning behind transmitted data, ensuring effective task execution and seamless information exchange. However, when AI-native devices employ ...