Image de couverture de livre

Convolutional neural network for early detection of lameness and irregularity in horses using an IMU sensor

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Savoini, Benoît, Bertolaccini, Jonathan, Montavon, Stéphane, Deriaz, Michel
Format:	Preprint
Publié:	2025
Sujets:	Signal Processing Artificial Intelligence Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Improvement of Performance in Freezing of Gait detection in Parkinsons Disease using Transformer networks and a single waist worn triaxial accelerometer
par: Sigcha, Luis, et autres
Publié: (2024)

Thermal transmittance prediction based on the application of artificial neural networks on heat flux method results
par: Gumbarević, Sanjin, et autres
Publié: (2021)

Overcoming the Intrinsic Performance Limitations of MEMS IMU via Diffusion-Based Generative Learning
par: Lv, Jiarui, et autres
Publié: (2026)

Interpretable cancer cell detection with phonon microscopy using multi-task conditional neural networks for inter-batch calibration
par: Zheng, Yijie, et autres
Publié: (2024)

Coronary Artery Disease Classification Using One-dimensional Convolutional Neural Network
par: Phoemsuk, Atitaya, et autres
Publié: (2024)

Finding One's Bearings in the Hyperparameter Landscape of a Wide-Kernel Convolutional Fault Detector
par: Hudson, Dan, et autres
Publié: (2024)

TDANet: A Novel Temporal Denoise Convolutional Neural Network With Attention for Fault Diagnosis
par: Li, Zhongzhi, et autres
Publié: (2024)

ClST: A Convolutional Transformer Framework for Automatic Modulation Recognition by Knowledge Distillation
par: Hou, Dongbin, et autres
Publié: (2023)

ST-HCSS: Deep Spatio-Temporal Hypergraph Convolutional Neural Network for Soft Sensing
par: Tew, Hwa Hui, et autres
Publié: (2025)

SincVAE: A new semi-supervised approach to improve anomaly detection on EEG data using SincNet and variational autoencoder
par: Pollastro, Andrea, et autres
Publié: (2024)

rECGnition_v1.0: Arrhythmia detection using cardiologist-inspired multi-modal architecture incorporating demographic attributes in ECG
par: Srivastava, Shreya, et autres
Publié: (2024)

Leveraging Convolutional Sparse Autoencoders for Robust Movement Classification from Low-Density sEMG
par: Hristov, Blagoj, et autres
Publié: (2026)

Accoustate: Auto-annotation of IMU-generated Activity Signatures under Smart Infrastructure
par: Chatterjee, Soumyajit, et autres
Publié: (2021)

The OPS-SAT benchmark for detecting anomalies in satellite telemetry
par: Ruszczak, Bogdan, et autres
Publié: (2024)

Arrhythmia Classification from 12-Lead ECG Signals Using Convolutional and Transformer-Based Deep Learning Models
par: Apostol, Andrei, et autres
Publié: (2025)

Wearable-based Fair and Accurate Pain Assessment Using Multi-Attribute Fairness Loss in Convolutional Neural Networks
par: Zhu, Yidong, et autres
Publié: (2023)

DS-MS-TCN: Otago Exercises Recognition with a Dual-Scale Multi-Stage Temporal Convolutional Network
par: Shang, Meng, et autres
Publié: (2024)

Motor Imagery EEG Signal Classification Using Minimally Random Convolutional Kernel Transform and Hybrid Deep Learning
par: Hwaidi, Jamal, et autres
Publié: (2025)

Correlation recurrent units: A novel neural architecture for improving the predictive performance of time-series data
par: Sim, Sunghyun, et autres
Publié: (2022)

Optimizing food taste sensory evaluation through neural network-based taste electroencephalogram channel selection
par: Xia, Xiuxin, et autres
Publié: (2024)

Towards transparent and data-driven fault detection in manufacturing: A case study on univariate, discrete time series
par: Hofmann, Bernd, et autres
Publié: (2025)

IncepFormerNet: A multi-scale multi-head attention network for SSVEP classification
par: Huang, Yan, et autres
Publié: (2025)

A Fairness-Aware Strategy for B5G Physical-layer Security Leveraging Reconfigurable Intelligent Surfaces
par: Pierron, Alex, et autres
Publié: (2025)

To Trust or Not to Trust: On Calibration in ML-based Resource Allocation for Wireless Networks
par: Raina, Rashika, et autres
Publié: (2025)

SCVCNet: Sliding cross-vector convolution network for cross-task and inter-individual-set EEG-based cognitive workload recognition
par: Wang, Qi, et autres
Publié: (2023)

Wearable data from subjects playing Super Mario, sitting university exams, or performing physical exercise help detect acute mood episodes via self-supervised learning
par: Corponi, Filippo, et autres
Publié: (2023)

Towards Generalizable Learning Models for EEG-Based Identification of Pain Perception
par: Rezzouk, Mathis, et autres
Publié: (2025)

Review of algorithms for predicting fatigue using EEG
par: Rakhmatulin, Ildar
Publié: (2024)

Bearing Fault Diagnosis using Graph Sampling and Aggregation Network
par: Chen, Jiaying, et autres
Publié: (2024)

Machine Learning Assisted Postural Movement Recognition using Photoplethysmography(PPG)
par: Maccay, Robbie, et autres
Publié: (2024)

Synthetic EEG Generation using Diffusion Models for Motor Imagery Tasks
par: Alexandre, Henrique de Lima, et autres
Publié: (2025)

DCentNet: Decentralized Multistage Biomedical Signal Classification using Early Exits
par: Li, Xiaolin, et autres
Publié: (2025)

Transformer-Based Bearing Fault Detection using Temporal Decomposition Attention Mechanism
par: Mirzaeibonehkhater, Marzieh, et autres
Publié: (2024)

FoME: A Foundation Model for EEG using Adaptive Temporal-Lateral Attention Scaling
par: Shi, Enze, et autres
Publié: (2024)

Hybrid Quantum Deep Learning Model for Emotion Detection using raw EEG Signal Analysis
par: Chandanwala, Ali Asgar, et autres
Publié: (2024)

Artificial Neural Network for Estimation of Physical Parameters of Sea Water using LiDAR Waveforms
par: Jamal, Saad Ahmed
Publié: (2023)

Online Electric Vehicle Charging Detection Based on Memory-based Transformer using Smart Meter Data
par: Kamoona, Ammar Mansoor, et autres
Publié: (2024)

Anomaly Detection in Time Series of EDFA Pump Currents to Monitor Degeneration Processes using Fuzzy Clustering
par: Schneider, Dominic, et autres
Publié: (2024)

A Survey of IMU Based Cross-Modal Transfer Learning in Human Activity Recognition
par: Kamboj, Abhi, et autres
Publié: (2024)

NapTune: Efficient Model Tuning for Mood Classification using Previous Night's Sleep Measures along with Wearable Time-series
par: Shome, Debaditya, et autres
Publié: (2024)