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IEEE Transactions on Neural Networks and Learning Systems - new TOC
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Last updated 7 days ago
Cross-Scene Hyperspectral Image Classification via Bidirectional Mamba and Domain Mixing Network
7 months ago
To overcome the challenges posed by domain shift in hyperspectral image (HSI)...
PosFormer: Generalizable Indoor Positioning via Global--Local Feature Fusion Network
7 months ago
Ultra-wideband (UWB), a short-pulse radio technology with high time resolution, has shown...
Seeing Clearly and Detecting Precisely: Perceptual Enhancement and Focus Calibration for Small-Object Detection
7 months ago
Small-object detection remains challenging due to limited pixel information, blurred boundaries, and...
EEGMoE: A Domain-Decoupled Mixture-of-Experts Model for Self-Supervised EEG Representation Learning
7 months ago
Existing deep learning models for electroencephalogram (EEG) are typically tailored for specific...
A Linearized Alternating Direction Multiplier Method for Federated Matrix Completion Problems
7 months ago
Matrix completion (MC) is fundamental for predicting missing data with a wide...
An Attention-Assisted AI Model for Real-Time Underwater Sound Speed Estimation Leveraging Remote Sensing Sea Surface Temperature Data
7 months ago
The estimation of underwater sound velocity distribution serves as a critical basis...
Gradient-Refined Federated Learning on Head-Tail Imbalanced Data
7 months ago
Federated learning has emerged as a transformative paradigm for distributed data collaboration...
Discovering Causality Representations in Graph Convolutional Network for Automated Assessment of Parkinsonian Hand Postural Tremor
7 months ago
Postural tremor of hands, a typical symptom of Parkinson’s disease (PD), is...
NeRF-MIR: Toward High-Quality Restoration of Masked Images With Neural Radiance Fields
7 months ago
Neural radiance fields (NeRFs) have demonstrated remarkable performance in novel view synthesis...
Structure-Enhanced Self-Supervised Weighted Information Bottleneck for Multiview Clustering
7 months ago
Multiview clustering (MVC) is a popular research topic in the fields of...
Where and How: Mining Convertible Outlying Aspect for Outlier Interpretation
7 months ago
Outlier interpretation methods, based on outlying aspect mining, have been extensively utilized...
PromptGCN: Bridging Subgraph Gaps in Lightweight GCNs
7 months ago
Graph convolutional networks (GCNs) are widely used in graph-based applications, such as...