IEEE3d
Extrinsic Calibration of High Resolution LiDAR and Camera Based on Vanishing Points
Abstract: Parallel lines, common geometric elements in daily environments, can form vanishing points in projective geometry. In this article, we introduce a novel method for the extrinsic calibration ...
IEEE9d
Self-Aligned InGaZnO Thin-Film Transistors and Circuits on Transparent Thin Glass and FEP Film
Persistent Link: https://ieeexplore.ieee.org/servlet/opac?punumber=9552934 ...
IEEE15d
DC and AC Performance of InGaZnO Thin-Film Transistors on Flexible PEEK Substrate
Persistent Link: https://ieeexplore.ieee.org/servlet/opac?punumber=16 ...
IEEE17d
X-YOLO: An Efficient Detection Network of Dangerous Objects in X-Ray Baggage Images
Abstract: X-ray safety inspection machines are essential for maintaining security. In the past few years, the rapid development and widespread application of deep learning have significantly ...
IEEE18d
Multilevels Domain Alignment Adaptation-Based Transfer Fault Diagnosis Method for Different Machines
Abstract: Under small distribution discrepancies between source and target domains (TDs), the existing domain adaptation-based fault diagnosis methods can achieve encouraging results. However, in ...
IEEE19d
Fast and High-Performance Learned Image Compression With Improved Checkerboard Context Model, Deformable Residual Module, and Knowledge Distillation
Abstract: Deep learning-based image compression has made great progresses recently. However, some leading schemes use serial context-adaptive entropy model to improve the rate-distortion (R-D) ...
IEEE23d
Modeling and Analysis of Oblique-Chamber and Symmetric Oblique-Chamber Pneu-Net Soft Actuators
Abstract: Oblique-chamber pneu-net soft actuators (OC-PNSAs) exhibit helical deformation upon inflation. The symmetric oblique-chamber pneu-net soft actuator (SOC-PNSA) consists of two symmetric ...
IEEE23d
Single Image Denoising via a New Lightweight Learning-Based Model
Abstract: Restoring a high-quality image from a noisy version poses a significant challenge in computer vision, particularly in today’s context where high-resolution and large-sized images are ...
IEEE24d
GTCN: Gated Temporal Convolutional Networks for Controlled-Source Electromagnetic Data Denoising
Abstract: To improve the signal-to-noise ratio (SNR) of controlled-source electromagnetic (CSEM) data observed in strong interference environments, a new deep learning network is proposed and named ...
IEEE24d
Deep Reinforcement Learning for Integrated Sensing and Communication in RIS-assisted 6G V2X System
Abstract: The recent advancements in integrated sensing and communications (ISAC) technology have introduced new possibilities to address the quality of communication and high-resolution positioning ...
IEEE24d
Fault Diagnosis of Photovoltaic Strings Based on SiamMN Networks and Panoramic I-V Features
Abstract: Accurate fault diagnosis is crucial to ensuring the stable operation of photovoltaic (PV) systems. With the increasing availability of condition monitoring data such as current-voltage (I-V) ...
IEEE24d
A Controllable T-type Broadband Impedance Matching Network for Ultra-low Frequency Electroacoustic Transducers
Abstract: The ultra-low frequency (ULF) electroacoustic transducers are normally operated in a high quality factor for efficient radiation and can be treated as nonlinear load. These unique ...