IEEE

FPGA IP Core for DC Motor Control With Adaptive Neural Network PID Tuning, and High-Resolution Encoder Interface

Abstract: Traditional proportional integral derivative (PID) falls short for precise control of DC motor speed under changing conditions. This paper presents a novel FPGA based IP (intellectual ...
IEEE

An Optimized Model With Encoder-Decoder ConvLSTM for Global Ionospheric Forecasting

Abstract: The ionosphere is vital for satellite navigation and radio communication, but observational limitations necessitate ionospheric forecasting. The least squares collocation (LSC) method is ...
IEEE

Exchanging Dual-Encoder–Decoder: A New Strategy for Change Detection With Semantic Guidance and Spatial Localization

Abstract: Change detection is a critical task in earth observation applications. Recently, deep-learning-based methods have shown promising performance and are quickly adopted in change detection.
GitHub

Create a set of commands that can be send to any receipt printer that supports ESC/POS, StarLine or StarPRNT.

This library is part of @point-of-sale, a collection of libraries for interfacing browsers and Node with Point of Sale devices such as receipt printers, barcode scanners and customer facing displays.
IEEE

MPCT: Multiscale Point Cloud Transformer With a Residual Network

Abstract: The self-attention (SA) network revisits the essence of data and has achieved remarkable results in text processing and image analysis. SA is conceptualized as a set operator that is ...
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 ...
IEEE

Wav2Seq: Pre-Training Speech-to-Text Encoder-Decoder Models Using Pseudo Languages

Abstract: We introduce Wav2Seq, the first self-supervised approach to pre-train both parts of encoder-decoder models for speech data. We induce a pseudo language as a compact discrete representation, ...
IEEE

MoVAE: Multi-Omics Variational Auto-Encoder for Cancer Subtype Detection

Abstract: With the advent of advanced genomic data extraction methods, numerous studies have been utilized these data to identify cancer subtypes. Given the complexity of cancer subtyping and the ...
IEEE

DMFNet: Dual-Encoder Multistage Feature Fusion Network for Infrared Small Target Detection

Abstract: Infrared small target detection (IRSTD) is the challenging task of identifying small targets with low signal-to-noise ratios in complex backgrounds. Traditional methods in the complex ...
IEEE

Encoder-Free Multiaxis Physics-Aware Fusion Network for Remote Sensing Image Dehazing

Abstract: Current methods for remote sensing image dehazing confront noteworthy computational intricacies and yield suboptimal dehazed outputs, thereby circumscribing their pragmatic applicability. To ...
IEEE

Sentence-Level Text Key Point Extraction Based on Transformer Bidirectional Encoder

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 ...
IEEE

Rethinking Encoder-Decoder Flow Through Shared Structures

Abstract: Dense prediction tasks have enjoyed a growing complexity of encoder architectures, decoders, however, have remained largely the same. They rely on individual blocks decoding intermediate ...