Copertina

Temporal Micro-Doppler Spectrogram-based ViT Multiclass Target Classification

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Nguyen, Nghia Thinh, Do, Tri Nhu
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Signal Processing Artificial Intelligence Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Generative and Explainable AI for High-Dimensional Channel Estimation
di: Nguyen, Nghia Thinh, et al.
Pubblicazione: (2025)

AI-Open-RAN for Non-Terrestrial Networks
di: Do, Tri Nhu
Pubblicazione: (2025)

Fusing Pretrained ViTs with TCNet for Enhanced EEG Regression
di: Modesitt, Eric, et al.
Pubblicazione: (2024)

Neural Network-based Information-Theoretic Transceivers for High-Order Modulation Schemes
di: Pham, Ngoc Long, et al.
Pubblicazione: (2025)

AudioFuse: Unified Spectral-Temporal Learning via a Hybrid ViT-1D CNN Architecture for Robust Phonocardiogram Classification
di: Siddiqui, Md. Saiful Bari, et al.
Pubblicazione: (2025)

How Homogenizing the Channel-wise Magnitude Can Enhance EEG Classification Model?
di: Ngo, Huyen, et al.
Pubblicazione: (2024)

Spectrogram features for audio and speech analysis
di: McLoughlin, Ian, et al.
Pubblicazione: (2026)

TRLS: A Time Series Representation Learning Framework via Spectrogram for Medical Signal Processing
di: Xie, Luyuan, et al.
Pubblicazione: (2024)

A XAI-based Framework for Frequency Subband Characterization of Cough Spectrograms in Chronic Respiratory Disease
di: Amado-Caballero, Patricia, et al.
Pubblicazione: (2025)

Learning Temporal Resolution in Spectrogram for Audio Classification
di: Liu, Haohe, et al.
Pubblicazione: (2022)

Smooth-Distill: A Self-distillation Framework for Multitask Learning with Wearable Sensor Data
di: Vu, Hoang-Dieu, et al.
Pubblicazione: (2025)

Self-Supervised Radio Pre-training: Toward Foundational Models for Spectrogram Learning
di: Aboulfotouh, Ahmed, et al.
Pubblicazione: (2024)

Optimization and Deployment of Deep Neural Networks for PPG-based Blood Pressure Estimation Targeting Low-power Wearables
di: Burrello, Alessio, et al.
Pubblicazione: (2024)

Spatio-Temporal Attention Network for Epileptic Seizure Prediction
di: Li, Zan, et al.
Pubblicazione: (2025)

Temporal Context and Architecture: A Benchmark for Naturalistic EEG Decoding
di: Ergezer, Mehmet
Pubblicazione: (2026)

TADA: Temporal Adversarial Data Augmentation for Time Series Data
di: Lee, Byeong Tak, et al.
Pubblicazione: (2024)

TolerantECG: A Foundation Model for Imperfect Electrocardiogram
di: Nguyen, Huynh Dang, et al.
Pubblicazione: (2025)

Low-Complexity CNN-Based Classification of Electroneurographic Signals
di: Gokdag, Arek Berc, et al.
Pubblicazione: (2025)

Calibration of Deep Learning Classification Models in fNIRS
di: Cao, Zhihao, et al.
Pubblicazione: (2024)

Electrocardiogram Classification with Transformers Using Koopman and Wavelet Features
di: Ghosh, Sucheta, et al.
Pubblicazione: (2026)

Online Test-Time Adaptation of Spatial-Temporal Traffic Flow Forecasting
di: Guo, Pengxin, et al.
Pubblicazione: (2024)

Guiding Masked Representation Learning to Capture Spatio-Temporal Relationship of Electrocardiogram
di: Na, Yeongyeon, et al.
Pubblicazione: (2024)

PITN: Physics-Informed Temporal Networks for Cuffless Blood Pressure Estimation
di: Wang, Rui, et al.
Pubblicazione: (2024)

Large-Scale Classification of Shortwave Communication Signals with Machine Learning
di: Scholl, Stefan
Pubblicazione: (2025)

Evaluation of Deep Learning Models for LBBB Classification in ECG Signals
di: Ordóñez, Beatriz Macas, et al.
Pubblicazione: (2025)

MedMamba: Recasting Mamba for Medical Time Series Classification
di: He, ZhengXiao, et al.
Pubblicazione: (2026)

Resilient Temporal GCN for Smart Grid State Estimation Under Topology Inaccuracies
di: Haghshenas, Seyed Hamed, et al.
Pubblicazione: (2024)

Transformer-Based Bearing Fault Detection using Temporal Decomposition Attention Mechanism
di: Mirzaeibonehkhater, Marzieh, et al.
Pubblicazione: (2024)

ST-HCSS: Deep Spatio-Temporal Hypergraph Convolutional Neural Network for Soft Sensing
di: Tew, Hwa Hui, et al.
Pubblicazione: (2025)

TDANet: A Novel Temporal Denoise Convolutional Neural Network With Attention for Fault Diagnosis
di: Li, Zhongzhi, et al.
Pubblicazione: (2024)

FoME: A Foundation Model for EEG using Adaptive Temporal-Lateral Attention Scaling
di: Shi, Enze, et al.
Pubblicazione: (2024)

Benchmarking Machine Learning Models for Fault Classification and Localization in Power System Protection
di: Oelhaf, Julian, et al.
Pubblicazione: (2025)

DCentNet: Decentralized Multistage Biomedical Signal Classification using Early Exits
di: Li, Xiaolin, et al.
Pubblicazione: (2025)

Generative Resident Separation and Multi-label Classification for Multi-person Activity Recognition
di: Chen, Xi, et al.
Pubblicazione: (2024)

Coronary Artery Disease Classification Using One-dimensional Convolutional Neural Network
di: Phoemsuk, Atitaya, et al.
Pubblicazione: (2024)

Improving EEG Signal Classification Accuracy Using Wasserstein Generative Adversarial Networks
di: Park, Joshua, et al.
Pubblicazione: (2024)

Medformer: A Multi-Granularity Patching Transformer for Medical Time-Series Classification
di: Wang, Yihe, et al.
Pubblicazione: (2024)

HRVConformer: Neonatal Hypoxic-Ischemic Encephalopathy Classification from the Heart Rate signals
di: Yu, Shuwen, et al.
Pubblicazione: (2026)

TSRNet: Simple Framework for Real-time ECG Anomaly Detection with Multimodal Time and Spectrogram Restoration Network
di: Bui, Nhat-Tan, et al.
Pubblicazione: (2023)

Lightweight and Interpretable Transformer via Mixed Graph Algorithm Unrolling for Traffic Forecast
di: Qi, Ji, et al.
Pubblicazione: (2025)