Development of Goat Behaviour Prediction with Accelerometer Data: A Machine Learning and Pre-Processing Approach Article Swipe
Diego Méndez
,
Blanca Fajardo Viloria
,
Sergi Sanjuan
,
J. M. Calabuig
,
Roger Arnau
,
Arantxa Villagrá
,
Salvador Calvet
,
Fernándo Estellés
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.2139/ssrn.5183988
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.2139/ssrn.5183988
Related Topics
Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.2139/ssrn.5183988
- OA Status
- green
- Cited By
- 1
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4408661704
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4408661704Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.2139/ssrn.5183988Digital Object Identifier
- Title
-
Development of Goat Behaviour Prediction with Accelerometer Data: A Machine Learning and Pre-Processing ApproachWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2025Year of publication
- Publication date
-
2025-01-01Full publication date if available
- Authors
-
Diego Méndez, Blanca Fajardo Viloria, Sergi Sanjuan, J. M. Calabuig, Roger Arnau, Arantxa Villagrá, Salvador Calvet, Fernándo EstellésList of authors in order
- Landing page
-
https://doi.org/10.2139/ssrn.5183988Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.2139/ssrn.5183988Direct OA link when available
- Concepts
-
Accelerometer, Artificial intelligence, Machine learning, Computer science, Operating systemTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
1Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 1Per-year citation counts (last 5 years)
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4408661704 |
|---|---|
| doi | https://doi.org/10.2139/ssrn.5183988 |
| ids.doi | https://doi.org/10.2139/ssrn.5183988 |
| ids.openalex | https://openalex.org/W4408661704 |
| fwci | 6.35848368 |
| type | preprint |
| title | Development of Goat Behaviour Prediction with Accelerometer Data: A Machine Learning and Pre-Processing Approach |
| biblio.issue | |
| biblio.volume | |
| biblio.last_page | |
| biblio.first_page | |
| topics[0].id | https://openalex.org/T10594 |
| topics[0].field.id | https://openalex.org/fields/13 |
| topics[0].field.display_name | Biochemistry, Genetics and Molecular Biology |
| topics[0].score | 0.49889999628067017 |
| topics[0].domain.id | https://openalex.org/domains/1 |
| topics[0].domain.display_name | Life Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/1311 |
| topics[0].subfield.display_name | Genetics |
| topics[0].display_name | Genetic and phenotypic traits in livestock |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C89805583 |
| concepts[0].level | 2 |
| concepts[0].score | 0.7560040950775146 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q192940 |
| concepts[0].display_name | Accelerometer |
| concepts[1].id | https://openalex.org/C154945302 |
| concepts[1].level | 1 |
| concepts[1].score | 0.5429697632789612 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q11660 |
| concepts[1].display_name | Artificial intelligence |
| concepts[2].id | https://openalex.org/C119857082 |
| concepts[2].level | 1 |
| concepts[2].score | 0.5246893763542175 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q2539 |
| concepts[2].display_name | Machine learning |
| concepts[3].id | https://openalex.org/C41008148 |
| concepts[3].level | 0 |
| concepts[3].score | 0.5049853920936584 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[3].display_name | Computer science |
| concepts[4].id | https://openalex.org/C111919701 |
| concepts[4].level | 1 |
| concepts[4].score | 0.0 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q9135 |
| concepts[4].display_name | Operating system |
| keywords[0].id | https://openalex.org/keywords/accelerometer |
| keywords[0].score | 0.7560040950775146 |
| keywords[0].display_name | Accelerometer |
| keywords[1].id | https://openalex.org/keywords/artificial-intelligence |
| keywords[1].score | 0.5429697632789612 |
| keywords[1].display_name | Artificial intelligence |
| keywords[2].id | https://openalex.org/keywords/machine-learning |
| keywords[2].score | 0.5246893763542175 |
| keywords[2].display_name | Machine learning |
| keywords[3].id | https://openalex.org/keywords/computer-science |
| keywords[3].score | 0.5049853920936584 |
| keywords[3].display_name | Computer science |
| language | en |
| locations[0].id | doi:10.2139/ssrn.5183988 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S4210172589 |
| locations[0].source.issn | 1556-5068 |
| locations[0].source.type | repository |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | 1556-5068 |
| locations[0].source.is_core | False |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | SSRN Electronic Journal |
| locations[0].source.host_organization | https://openalex.org/I1318003438 |
| locations[0].source.host_organization_name | RELX Group (Netherlands) |
| locations[0].source.host_organization_lineage | https://openalex.org/I1318003438 |
| locations[0].license | |
| locations[0].pdf_url | |
| locations[0].version | acceptedVersion |
| locations[0].raw_type | posted-content |
| locations[0].license_id | |
| locations[0].is_accepted | True |
| locations[0].is_published | False |
| locations[0].raw_source_name | |
| locations[0].landing_page_url | https://doi.org/10.2139/ssrn.5183988 |
| indexed_in | crossref |
| authorships[0].author.id | https://openalex.org/A5036687213 |
| authorships[0].author.orcid | https://orcid.org/0000-0002-9866-4416 |
| authorships[0].author.display_name | Diego Méndez |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Daniel Alexander Méndez |
| authorships[0].is_corresponding | False |
| authorships[1].author.id | https://openalex.org/A5116673018 |
| authorships[1].author.orcid | |
| authorships[1].author.display_name | Blanca Fajardo Viloria |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Blanca Fajardo Viloria |
| authorships[1].is_corresponding | False |
| authorships[2].author.id | https://openalex.org/A5106642989 |
| authorships[2].author.orcid | |
| authorships[2].author.display_name | Sergi Sanjuan |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Sergi Sanjuan |
| authorships[2].is_corresponding | False |
| authorships[3].author.id | https://openalex.org/A5022826124 |
| authorships[3].author.orcid | https://orcid.org/0000-0001-8398-8664 |
| authorships[3].author.display_name | J. M. Calabuig |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Jose Manuel Calabuig |
| authorships[3].is_corresponding | False |
| authorships[4].author.id | https://openalex.org/A5044321329 |
| authorships[4].author.orcid | https://orcid.org/0000-0003-2544-8875 |
| authorships[4].author.display_name | Roger Arnau |
| authorships[4].author_position | middle |
| authorships[4].raw_author_name | Roger Arnau |
| authorships[4].is_corresponding | False |
| authorships[5].author.id | https://openalex.org/A5045070033 |
| authorships[5].author.orcid | https://orcid.org/0000-0001-8812-9455 |
| authorships[5].author.display_name | Arantxa Villagrá |
| authorships[5].author_position | middle |
| authorships[5].raw_author_name | Arantxa Villagrá |
| authorships[5].is_corresponding | False |
| authorships[6].author.id | https://openalex.org/A5048622987 |
| authorships[6].author.orcid | |
| authorships[6].author.display_name | Salvador Calvet |
| authorships[6].author_position | middle |
| authorships[6].raw_author_name | Salvador Calvet |
| authorships[6].is_corresponding | False |
| authorships[7].author.id | https://openalex.org/A5023703843 |
| authorships[7].author.orcid | https://orcid.org/0000-0001-6774-6075 |
| authorships[7].author.display_name | Fernándo Estellés |
| authorships[7].author_position | last |
| authorships[7].raw_author_name | Fernando Estellés |
| authorships[7].is_corresponding | False |
| has_content.pdf | False |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://doi.org/10.2139/ssrn.5183988 |
| open_access.oa_status | green |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Development of Goat Behaviour Prediction with Accelerometer Data: A Machine Learning and Pre-Processing Approach |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T10594 |
| primary_topic.field.id | https://openalex.org/fields/13 |
| primary_topic.field.display_name | Biochemistry, Genetics and Molecular Biology |
| primary_topic.score | 0.49889999628067017 |
| primary_topic.domain.id | https://openalex.org/domains/1 |
| primary_topic.domain.display_name | Life Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/1311 |
| primary_topic.subfield.display_name | Genetics |
| primary_topic.display_name | Genetic and phenotypic traits in livestock |
| related_works | https://openalex.org/W2961085424, https://openalex.org/W4306674287, https://openalex.org/W4387369504, https://openalex.org/W4394896187, https://openalex.org/W3170094116, https://openalex.org/W4386462264, https://openalex.org/W3107602296, https://openalex.org/W4364306694, https://openalex.org/W4312192474, https://openalex.org/W4283697347 |
| cited_by_count | 1 |
| counts_by_year[0].year | 2025 |
| counts_by_year[0].cited_by_count | 1 |
| locations_count | 1 |
| best_oa_location.id | doi:10.2139/ssrn.5183988 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S4210172589 |
| best_oa_location.source.issn | 1556-5068 |
| best_oa_location.source.type | repository |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | 1556-5068 |
| best_oa_location.source.is_core | False |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | SSRN Electronic Journal |
| best_oa_location.source.host_organization | https://openalex.org/I1318003438 |
| best_oa_location.source.host_organization_name | RELX Group (Netherlands) |
| best_oa_location.source.host_organization_lineage | https://openalex.org/I1318003438 |
| best_oa_location.license | |
| best_oa_location.pdf_url | |
| best_oa_location.version | acceptedVersion |
| best_oa_location.raw_type | posted-content |
| best_oa_location.license_id | |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | False |
| best_oa_location.raw_source_name | |
| best_oa_location.landing_page_url | https://doi.org/10.2139/ssrn.5183988 |
| primary_location.id | doi:10.2139/ssrn.5183988 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S4210172589 |
| primary_location.source.issn | 1556-5068 |
| primary_location.source.type | repository |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | 1556-5068 |
| primary_location.source.is_core | False |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | SSRN Electronic Journal |
| primary_location.source.host_organization | https://openalex.org/I1318003438 |
| primary_location.source.host_organization_name | RELX Group (Netherlands) |
| primary_location.source.host_organization_lineage | https://openalex.org/I1318003438 |
| primary_location.license | |
| primary_location.pdf_url | |
| primary_location.version | acceptedVersion |
| primary_location.raw_type | posted-content |
| primary_location.license_id | |
| primary_location.is_accepted | True |
| primary_location.is_published | False |
| primary_location.raw_source_name | |
| primary_location.landing_page_url | https://doi.org/10.2139/ssrn.5183988 |
| publication_date | 2025-01-01 |
| publication_year | 2025 |
| referenced_works_count | 0 |
| abstract_inverted_index | |
| cited_by_percentile_year.max | 95 |
| cited_by_percentile_year.min | 91 |
| countries_distinct_count | 0 |
| institutions_distinct_count | 8 |
| citation_normalized_percentile.value | 0.87144852 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |