IEEE

On the Dependability of Bidirectional Encoder Representations from Transformers (BERT) to Soft Errors

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 ...
IEEE

Dual-Encoder VAE-GAN With Spatiotemporal Features for Emotional EEG Data Augmentation

Abstract: The current data scarcity problem in EEG-based emotion recognition tasks leads to difficulty in building high-precision models using existing deep learning methods. To tackle this problem, a ...
Billboard

Here’s Who Is Playing Turning Point USA’s All-American Halftime Show

Turning Point USA first announced its alternative to the NFL's official Super Bowl Halftime Show in October. By Jessica Nicholson As Super Bowl LX draws near on Feb. 8, millions of sports fans are ...
IEEE

GCN-Based Encoder-Decoder Networks With Markov Random Field for Unsupervised Community Detection

Abstract: Community discovery is an essential research area with significant real-world applications. Lately, Graph Convolutional Networks (GCNs) have gained popularity for their ability to ...
Game Rant

Rotary Encoder & Ion Sputter Location (With a View Quest) in ARC Raiders

Ayyoun is a staff writer who loves all things gaming and tech. His journey into the realm of gaming began with a PlayStation 1 but he chose PC as his platform of choice. With over 6 years of ...
PC Gamer

How to complete With a View in Arc Raiders

Third Person Shooter I finished Arc Raiders' new Shared Watch event in a single evening thanks to this one easy-to-craft item Third Person Shooter All materials required to complete the Trophy Display ...
IEEE

ConvNeXt-ECA: An Effective Encoder Network for Few-Shot Learning

Abstract: After having introduced a comprehensive general solution framework for few-shot learning (FSL) classification problems, we provide details of the data augmentation schemes and the learning ...
IEEE

Evaluation of Encoder-Only Transformer for Multi-Step Traffic Flow Prediction

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 ...
IEEE

Encoder-Decoder Contrast for Unsupervised Anomaly Detection in Medical Images

Abstract: Unsupervised anomaly detection (UAD) aims to recognize anomalous images based on the training set that contains only normal images. In medical image analysis, UAD benefits from leveraging ...
IEEE

A Multi-Scale Contrast Preserving Encoder-Decoder Architecture for Local Change Detection From Thermal Video Scenes

Abstract: This article presents a new deep-learning architecture based on an encoder-decoder framework that retains contrast while performing background subtraction (BS) on thermal videos. The ...