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

Improving the Accuracy of an Absolute Magnetic Encoder by Using Harmonic Rejection and a Dual-Phase-Locked Loop

Abstract: This paper proposes a method to improve the accuracy of an absolute magnetic encoder by using harmonic rejection (HR) and a dual-phase-locked loop (DPLL). The encoder consists of two ...