Classifying active and inactive states of growing rabbits from accelerometer data using machine learning algorithms
Fuente:
arXiv
Saved in:
| Main Authors: | Mora, Mónica, Riaboff, Lucile, David, Ingrid, Sánchez, Juan Pablo, Piles, Miriam |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Evaluating ROCKET and Catch22 features for calf behaviour classification from accelerometer data using Machine Learning models
by: Dissanayake, Oshana, et al.
Published: (2024)
by: Dissanayake, Oshana, et al.
Published: (2024)
Development of a digital tool for monitoring the behaviour of pre-weaned calves using accelerometer neck-collars
by: Dissanayake, Oshana, et al.
Published: (2024)
by: Dissanayake, Oshana, et al.
Published: (2024)
Genetic determinism of circadian rhythm of feed intake and relation with feed efficiency evaluated in group-housed growing Large White pigs
by: Riaboff, Lucile, et al.
Published: (2026)
by: Riaboff, Lucile, et al.
Published: (2026)
Accelerometer-Based Multivariate Time-Series Dataset for Calf Behavior Classification
by: Dissanayake, Oshana, et al.
Published: (2024)
by: Dissanayake, Oshana, et al.
Published: (2024)
Detecting train driveshaft damages using accelerometer signals and Differential Convolutional Neural Networks
by: Galdo, Antía López, et al.
Published: (2022)
by: Galdo, Antía López, et al.
Published: (2022)
Depression diagnosis from patient interviews using multimodal machine learning
by: Weber, Jana, et al.
Published: (2025)
by: Weber, Jana, et al.
Published: (2025)
Heart rate measurement using the built-in triaxial accelerometer from a commercial digital writing device
by: Payette, Julie, et al.
Published: (2023)
by: Payette, Julie, et al.
Published: (2023)
Clinical translation of machine learning algorithms for seizure detection in scalp electroencephalography: systematic review
by: Moutonnet, Nina, et al.
Published: (2024)
by: Moutonnet, Nina, et al.
Published: (2024)
Damage identification for bridges using machine learning: Development and application to KW51 bridge
by: Qiu, Yuqing, et al.
Published: (2024)
by: Qiu, Yuqing, et al.
Published: (2024)
An active-set algorithm for spectral unmixing
by: Foix-Colonier, Nils, et al.
Published: (2025)
by: Foix-Colonier, Nils, et al.
Published: (2025)
Auto-differentiable data assimilation: Co-learning of states, dynamics, and filtering algorithms
by: Adrian, Melissa, et al.
Published: (2026)
by: Adrian, Melissa, et al.
Published: (2026)
Interpretable machine learning for cardiogram-based biometrics
by: Tanasković, Ilija, et al.
Published: (2025)
by: Tanasković, Ilija, et al.
Published: (2025)
Explainable and externally validated machine learning for neurocognitive diagnosis via electrocardiograms
by: Alcaraz, Juan Miguel Lopez, et al.
Published: (2025)
by: Alcaraz, Juan Miguel Lopez, et al.
Published: (2025)
Efficient machine learning for motion sensing for lighting applications
by: Pijlman, Fetze
Published: (2024)
by: Pijlman, Fetze
Published: (2024)
Improvement of Performance in Freezing of Gait detection in Parkinsons Disease using Transformer networks and a single waist worn triaxial accelerometer
by: Sigcha, Luis, et al.
Published: (2024)
by: Sigcha, Luis, et al.
Published: (2024)
Operational machine learning for park-scale irrigation to support urban cooling
by: Koçyiğit, Mesut, et al.
Published: (2025)
by: Koçyiğit, Mesut, et al.
Published: (2025)
Meta-learning based Selective Fixed-filter Active Noise Control System with ResNet Classifier
by: Xiao, Y., et al.
Published: (2025)
by: Xiao, Y., et al.
Published: (2025)
Explainable machine learning for neoplasms diagnosis via electrocardiograms: an externally validated study
by: Alcaraz, Juan Miguel Lopez, et al.
Published: (2024)
by: Alcaraz, Juan Miguel Lopez, et al.
Published: (2024)
Assessing cognitive function among older adults using machine learning and wearable device data: a feasibility study
by: Sakal, Collin, et al.
Published: (2023)
by: Sakal, Collin, et al.
Published: (2023)
Bayesian quantum sensing using graybox machine learning
by: Youssry, Akram, et al.
Published: (2026)
by: Youssry, Akram, et al.
Published: (2026)
Electrocardiogram-based diagnosis of liver diseases: an externally validated and explainable machine learning approach
by: Alcaraz, Juan Miguel Lopez, et al.
Published: (2024)
by: Alcaraz, Juan Miguel Lopez, et al.
Published: (2024)
Performance of using Mel-Frequency Cepstrum Based Features in Nonlinear Classifiers for Phonocardiography Recordings
by: Ozkan, Ibrahim, et al.
Published: (2024)
by: Ozkan, Ibrahim, et al.
Published: (2024)
A procedure for assessing of machine health index data prediction quality
by: Kuzio, Daniel, et al.
Published: (2025)
by: Kuzio, Daniel, et al.
Published: (2025)
Dimension reduction methods, persistent homology and machine learning for EEG signal analysis of Interictal Epileptic Discharges
by: Stiehl, Annika, et al.
Published: (2025)
by: Stiehl, Annika, et al.
Published: (2025)
A machine-learning sleep-wake classification model using a reduced number of features derived from photoplethysmography and activity signals
by: Almeida, Douglas A., et al.
Published: (2023)
by: Almeida, Douglas A., et al.
Published: (2023)
Angle-distance decomposition based on deep learning for active sonar detection
by: Zhang, Jichao, et al.
Published: (2025)
by: Zhang, Jichao, et al.
Published: (2025)
Early detection of diabetes through transfer learning-based eye (vision) screening and improvement of machine learning model performance and advanced parameter setting algorithms
by: Yousefi, Mohammad Reza, et al.
Published: (2025)
by: Yousefi, Mohammad Reza, et al.
Published: (2025)
Maximum-Entropy-Rate Selection of Features for Classifying Changes in Knee and Ankle Dynamics During Running
by: Einicke, Garry A., et al.
Published: (2025)
by: Einicke, Garry A., et al.
Published: (2025)
A new flower pollination algorithm for equalization in synchronous DS/CDMA multiuser communication systems
by: San-José-Revuelta, Luis M., et al.
Published: (2024)
by: San-José-Revuelta, Luis M., et al.
Published: (2024)
A new data weighted averaging algorithm to reduce tones in the signal band
by: Laguna, Marta, et al.
Published: (2025)
by: Laguna, Marta, et al.
Published: (2025)
A machine-learning optimized vertical-axis wind turbine
by: Liu, Huan, et al.
Published: (2025)
by: Liu, Huan, et al.
Published: (2025)
Two-stage memetic algorithm for blind equalization in direct-sequence/code-division multiple-access Systems
by: San-José-Revuelta, Luis M., et al.
Published: (2024)
by: San-José-Revuelta, Luis M., et al.
Published: (2024)
Analysing PolSAR data from vegetation by using the subaperture decomposition approach
by: Ballester-Berman, J. David
Published: (2024)
by: Ballester-Berman, J. David
Published: (2024)
GPINND: A deep-learning-based state of health estimation for Lithium-ion battery
by: Lei, Yuzhu, et al.
Published: (2026)
by: Lei, Yuzhu, et al.
Published: (2026)
Mitigating Evasion Attacks in Federated Learning-Based Signal Classifiers
by: Wang, Su, et al.
Published: (2023)
by: Wang, Su, et al.
Published: (2023)
Coupled tensor models for probability mass function estimation: Part I, Principles and algorithms
by: Flores, Philippe, et al.
Published: (2025)
by: Flores, Philippe, et al.
Published: (2025)
Classifying Sums of Exponentially Damped Sinusoids Using an Associated Numerical Range
by: Albert, Raymundo, et al.
Published: (2024)
by: Albert, Raymundo, et al.
Published: (2024)
MAC protocol classification in the ISM band using machine learning methods
by: Rashidpour, Hanieh, et al.
Published: (2024)
by: Rashidpour, Hanieh, et al.
Published: (2024)
RIR-Mega: a large-scale simulated room impulse response dataset for machine learning and room acoustics modeling
by: Goswami, Mandip
Published: (2025)
by: Goswami, Mandip
Published: (2025)
Statistical Analysis of using the Shapley Value for Sensor Anomaly Localization with Accurate Classifiers
by: Fang, Xubin, et al.
Published: (2026)
by: Fang, Xubin, et al.
Published: (2026)
Similar Items
-
Evaluating ROCKET and Catch22 features for calf behaviour classification from accelerometer data using Machine Learning models
by: Dissanayake, Oshana, et al.
Published: (2024) -
Development of a digital tool for monitoring the behaviour of pre-weaned calves using accelerometer neck-collars
by: Dissanayake, Oshana, et al.
Published: (2024) -
Genetic determinism of circadian rhythm of feed intake and relation with feed efficiency evaluated in group-housed growing Large White pigs
by: Riaboff, Lucile, et al.
Published: (2026) -
Accelerometer-Based Multivariate Time-Series Dataset for Calf Behavior Classification
by: Dissanayake, Oshana, et al.
Published: (2024) -
Detecting train driveshaft damages using accelerometer signals and Differential Convolutional Neural Networks
by: Galdo, Antía López, et al.
Published: (2022)