1,449,764
edits
Item talk:Q142775: Difference between revisions
no edit summary
(Created page with "{ "OpenAlex": { "id": "https://openalex.org/A5080011681", "orcid": "https://orcid.org/0000-0001-7087-7949", "display_name": "Jeremy Diaz", "display_name_alternatives": [ "J.B. Royo D\u00edaz", "J.R. Diaz", "Jeremy Diaz", "Jeremy B. Diaz" ], "works_count": 16, "cited_by_count": 103, "summary_stats": { "2yr_mean_citedness": 0.6666666666666666, "h_index": 5, "i10_index": 3 }, "ids": {...") |
No edit summary |
||
| Line 520: | Line 520: | ||
"id": "https://openalex.org/T10766", | "id": "https://openalex.org/T10766", | ||
"display_name": "Urban Heat Islands and Mitigation Strategies", | "display_name": "Urban Heat Islands and Mitigation Strategies", | ||
"value": 2e-05, | "value": "2e-05", | ||
"subfield": { | "subfield": { | ||
"id": "https://openalex.org/subfields/2305", | "id": "https://openalex.org/subfields/2305", | ||
| Line 656: | Line 656: | ||
"id": "https://openalex.org/T10430", | "id": "https://openalex.org/T10430", | ||
"display_name": "Agile Software Development in Software Engineering", | "display_name": "Agile Software Development in Software Engineering", | ||
"value": 7e-06, | "value": "7e-06", | ||
"subfield": { | "subfield": { | ||
"id": "https://openalex.org/subfields/1710", | "id": "https://openalex.org/subfields/1710", | ||
| Line 995: | Line 995: | ||
"created_date": "2023-07-21", | "created_date": "2023-07-21", | ||
"_id": "https://openalex.org/A5080011681" | "_id": "https://openalex.org/A5080011681" | ||
}, | |||
"ORCID": { | |||
"@context": "http://schema.org", | |||
"@type": "Person", | |||
"@id": "https://orcid.org/0000-0001-7087-7949", | |||
"mainEntityOfPage": "https://orcid.org/0000-0001-7087-7949", | |||
"givenName": "Jeremy", | |||
"familyName": "Diaz", | |||
"@reverse": { | |||
"creator": [ | |||
{ | |||
"@type": "CreativeWork", | |||
"@id": "https://doi.org/10.3389/frwa.2023.1184992", | |||
"name": "Evaluating deep learning architecture and data assimilation for improving water temperature forecasts at unmonitored locations", | |||
"identifier": { | |||
"@type": "PropertyValue", | |||
"propertyID": "doi", | |||
"value": "10.3389/frwa.2023.1184992" | |||
} | |||
}, | |||
{ | |||
"@type": "CreativeWork", | |||
"@id": "https://doi.org/10.1029/2022wr033880", | |||
"name": "Stream Temperature Prediction in a Shifting Environment: Explaining the Influence of Deep Learning Architecture", | |||
"identifier": { | |||
"@type": "PropertyValue", | |||
"propertyID": "doi", | |||
"value": "10.1029/2022wr033880" | |||
} | |||
}, | |||
{ | |||
"@type": "CreativeWork", | |||
"@id": "https://doi.org/10.14358/pers.87.2.117", | |||
"name": "Fully Convolutional Neural Network for Impervious Surface Segmentation in Mixed Urban Environment", | |||
"identifier": { | |||
"@type": "PropertyValue", | |||
"propertyID": "doi", | |||
"value": "10.14358/pers.87.2.117" | |||
} | |||
}, | |||
{ | |||
"@type": "CreativeWork", | |||
"@id": "https://doi.org/10.1016/j.wace.2019.100216", | |||
"name": "Predicting property damage from tornadoes with zero-inflated neural networks", | |||
"identifier": { | |||
"@type": "PropertyValue", | |||
"propertyID": "doi", | |||
"value": "10.1016/j.wace.2019.100216" | |||
} | |||
}, | |||
{ | |||
"@type": "CreativeWork", | |||
"@id": "https://doi.org/10.1109/igarss.2019.8900453", | |||
"name": "Application of UNet Fully Convolutional Neural Network to Impervious Surface Segmentation in Urban Environment from High Resolution Satellite Imagery", | |||
"identifier": { | |||
"@type": "PropertyValue", | |||
"propertyID": "doi", | |||
"value": "10.1109/igarss.2019.8900453" | |||
} | |||
} | |||
] | |||
} | |||
} | } | ||
} | } | ||