IEEE

Implementation of Dual Three-Phase Linear Hall Sensor-Based Embedded Magnetic Encoder in Permanent Magnet Synchronous Motors

Abstract: Normally, three-phase linear Hall sensor-based embedded magnetic encoder (EME) are used in permanent magnet synchronous motors to detect the rotor angle, in which prefilters are used to ...
IEEE

Multi-Modal Sleep Stage Classification With Two-Stream Encoder-Decoder

Abstract: Sleep staging serves as a fundamental assessment for sleep quality measurement and sleep disorder diagnosis. Although current deep learning approaches have successfully integrated multimodal ...
GitHub

Bi-encoder Entity Linking Architecture (BELA)

The end to end transformer based model for entity linking in 98 languages. The BELA architecture is described in the following paper: Multilingual End to End Entity Linking.
IEEE

SPGformer: Serial–Parallel Hybrid GCN-Transformer With Graph-Oriented Encoder for 2-D-to-3-D Human Pose Estimation

Abstract: Accurate acquisition of 3-D human joint poses holds significant implications for tasks such as human action recognition. Monocular single-frame 2-D -to-3-D pose estimation focuses on ...
IEEE

Implementing the Fast Full-Wave Electromagnetic Forward Solver Using the Deep Convolutional Encoder-Decoder Architecture

Abstract: In this communication, a novel deep learning (DL)-based solver is proposed for the electromagnetic forward (EMF) process. It is based on the complex-valued deep convolutional neural networks ...
IEEE

A Decomposition-based Encoder-Decoder Framework for Multi-step Prediction of Burn-Through Point in Sintering Process

Abstract: Sintering process is a critical step in the ironmaking process. Burn-through point (BTP), as a key performance index of sintering ore, has a great influence on the quality of the sintering ...
IEEE

Fractional Fourier Transform Meets Transformer Encoder

Abstract: Utilizing signal processing tools in deep learning models has been drawing increasing attention. Fourier transform (FT), one of the most popular signal processing tools, is employed in many ...
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

Dual Encoder–Decoder Network for Land Cover Segmentation of Remote Sensing Image

Abstract: Although the vision transformer-based methods (ViTs) exhibit an excellent performance than convolutional neural networks (CNNs) for image recognition tasks, their pixel-level semantic ...
IEEE

A Study of Bidirectional Encoder Representations from Transformers for Sequential Recommendations

Abstract: Sequential recommender systems seek to capture information about user affinities and behaviors considering their sequential series of interactions. While former models based on Markov Chains ...
IEEE

DHE-Net: Dual-Encoder Hierarchical Network for Real-World Low-Cost LiDAR Point Cloud Denoising

Abstract: Light detection and ranging (LiDAR) point cloud denoising is critical for reliable environmental perception in autonomous driving and robotics. To overcome the lack of real-noise datasets ...
IEEE

Power Quality Disturbances Detection and Classification Based on Deep Convolution Auto-Encoder Networks

Abstract: Power quality issues are required to be addressed properly in forthcoming era of smart meters, smart grids and increase in renewable energy integration. In this paper, Deep Auto-encoder (DAE ...