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IEEE18h
V2X-ViTv2: Improved Vision Transformers for Vehicle-to-Everything Cooperative Perception - IEEE Xplore
In this paper, we study the application of Vehicle-to-Everything (V2X) communication to improve the perception performance of autonomous vehicles. We present V2X-ViTs, a robust cooperative perception ...
IEEE19h
18.3: A 93.3dB SNDR, 180.4dB FoMs Calibration-Free Noise-Shaping Pipelined-SAR ADC with Cross-Stage Gain-Mismatch-Error-Shaping Technique and Negative-R-Assisted Residue ...
In high-resolution ADCs, mismatch and gain errors are the main bottlenecks when aiming to achieve lower distortion and noise floor. Various techniques have been proposed to address these issues.
IEEE1d
Ortho-3DGS: True Digital Orthophoto Generation From Unmanned Aerial Vehicle Imagery Using the Depth-Regulated 3D Gaussian Splatting - IEEE Xplore
True digital orthophoto maps (DOMs) are vital spatial data sources due to their high precision, detail, and accessibility. However, traditional generation methods using image differential correction ...
IEEE1d
Recent Advances in Deep-Learning-Based SAR Image Target Detection and Recognition - IEEE Xplore
Synthetic aperture radar (SAR) image target detection and recognition (SAR-TDR) tasks have become research hot spots in the remote sensing application. These targets include ships, vehicles, aircraft, ...
IEEE2d
Spatial Residual for Underwater Object Detection - IEEE Xplore
Feature drift is caused by the dynamic coupling of target features and degradation factors, which reduce underwater detector performance. We redefine feature drift as the instability of target ...
IEEE2d
A Survey on Explainable Artificial Intelligence (XAI): Toward Medical XAI | IEEE Journals & Magazine | IEEE Xplore
Recently, artificial intelligence and machine learning in general have demonstrated remarkable performances in many tasks, from image processing to natural language processing, especially with the ...
IEEE3d
A Review of Current-Limiting Control of Grid-Forming Inverters Under Symmetrical Disturbances - IEEE Xplore
Grid-forming (GFM) inverters are recognized as a viable solution to increase the penetration of renewable energy in bulk power systems. However, they are physically different from synchronous ...
IEEE3d
High-Density Surface EMG Decomposition: Achievements, Challenges, and Concerns - IEEE Xplore
High-density surface electromyography (EMG) decomposition provides a valuable non-invasive approach to accessing key motor unit information for a range of applications. This communication summarizes ...
IEEE3d
Recent Advances in Open Set Recognition: A Survey - IEEE Xplore
Published in: IEEE Transactions on Pattern Analysis and Machine Intelligence ( Volume: 43 , Issue: 10 , 01 October 2021 ) ...
IEEE4d
Toward Early and Accurate Network Intrusion Detection Using Graph Embedding - IEEE Xplore
Early and accurate detection of network intrusions is crucial to ensure network security and stability. Existing network intrusion detection methods mainly use conventional machine learning or deep ...
IEEE4d
Quality Prediction Modeling for Industrial Processes Using Multiscale Attention-Based Convolutional Neural Network - IEEE Xplore
Soft sensors have been increasingly applied for quality prediction in complex industrial processes, which often have different scales of topology and highly coupled spatiotemporal features. However, ...
IEEE4d
Diffusion Model Empowered Data Augmentation for Automatic Modulation Recognition - IEEE Xplore
Automatic modulation recognition (AMR), which distinguishes the modulation type of wireless signals, is crucial for spectrum sensing and signal analysis, providing valuable insights into surrounding ...