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IEEE16h
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 ...
IEEE1d
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 ...
IEEE1d
A Benchmark and Frequency Compression Method for Infrared Few-Shot Object Detection - IEEE Xplore
Infrared few-shot object detection (IFSOD) aims to detect infrared objects with limited labeled examples. Current infrared datasets, however, suffer from limited diversity in object types and classes, ...
IEEE1d
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 ...
IEEE1d
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 ...
IEEE1d
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 ) ...
IEEE2d
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, ...
IEEE3d
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 ...
IEEE3d
Short-Term Load Forecasting: A Comprehensive Review and Simulation Study With CNN-LSTM Hybrids Approach - IEEE Xplore
Short-term load forecasting (STLF) is vital in effectively managing the reserve requirement in modern power grids. Subsequently, it supports the grid operator in making effective and economical ...
IEEE3d
VarifocalNet: An IoU-aware Dense Object Detector - IEEE Xplore
Accurately ranking the vast number of candidate detections is crucial for dense object detectors to achieve high performance. Prior work uses the classification score or a combination of ...
IEEE3d
Diffusion-Based Generative Prior for Low-Complexity MIMO Channel Estimation - IEEE Xplore
This letter proposes a novel channel estimator based on diffusion models (DMs), one of the currently top-rated generative models, with provable convergence to t ...
IEEE4d
Applications of Deep Reinforcement Learning in Communications and Networking: A Survey - IEEE Xplore
This paper presents a comprehensive literature review on applications of deep reinforcement learning (DRL) in communications and networking. Modern networks, e.g., Internet of Things (IoT) and ...