Výsledky vyhledávání - "Mark Roantree"

Akademický článek

Analyzing Shared Bike Usage Through Graph-Based Spatio-Temporal Modeling

Autor: Dinh Viet Cuong, Vuong M. Ngo, Paolo Cappellari, Mark Roantree

Publikováno v: IEEE Open Journal of Intelligent Transportation Systems, Vol 5, Pp 115-131 (2024)

Bike sharing schemes can be used both to improve mobility around busy city routes but also to contribute to the fight against climate change. Optimization of the network in terms of station locations and routes is a focus for researchers, where usage

Externí odkaz: https://doaj.org/article/737e8ae8afa34af8bd7d6f67a69ffb2c

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Akademický článek

Air Temperature and Relative Humidity Datasets from an Urban Meteorological Network in the City Area of Novi Sad (Serbia)

Autor: Stevan Savić, Ivan Šećerov, Branislava Lalić, Dongyun Nie, Mark Roantree

Publikováno v: Data in Brief, Vol 49, Iss , Pp 109425- (2023)

This data article describes two groups of datasets which capture, firstly - 10-minutes air temperature (Ta) and relative humidity (RH) data from 27 urban and non-urban sites over a period of 3.5 years covering 2014–2018; and secondly - hourly Ta da

Externí odkaz: https://doaj.org/article/07266aa071c74b6ca3e4a4638abb2ef7

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Akademický článek

Engineering Features from Raw Sensor Data to Analyse Player Movements during Competition

Autor: Valerio Antonini, Alessandra Mileo, Mark Roantree

Publikováno v: Sensors, Vol 24, Iss 4, p 1308 (2024)

Research in field sports often involves analysis of running performance profiles of players during competitive games with individual, per-position, and time-related descriptive statistics. Data are acquired through wearable technologies, which genera

Externí odkaz: https://doaj.org/article/a4e9ed800ac94064afcbfda4cece6233

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Akademický článek

A framework for constructing machine learning models with feature set optimisation for evapotranspiration partitioning

Autor: Adam Stapleton, Elke Eichelmann, Mark Roantree

Publikováno v: Applied Computing and Geosciences, Vol 16, Iss , Pp 100105- (2022)

A deeper understanding of the drivers of evapotranspiration and the modelling of its constituent parts (evaporation and transpiration) may be of significant importance to the monitoring and management of water resources globally over the coming decad

Externí odkaz: https://doaj.org/article/abd24322fae5492aac27c586563f3e05

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Akademický článek

Benchmarking Parametric and Machine Learning Models for Genomic Prediction of Complex Traits

Autor: Christina B. Azodi, Emily Bolger, Andrew McCarren, Mark Roantree, Gustavo de los Campos, Shin-Han Shiu

Publikováno v: G3: Genes, Genomes, Genetics, Vol 9, Iss 11, Pp 3691-3702 (2019)

The usefulness of genomic prediction in crop and livestock breeding programs has prompted efforts to develop new and improved genomic prediction algorithms, such as artificial neural networks and gradient tree boosting. However, the performance of th

Externí odkaz: https://doaj.org/article/e9232b2b208c463fbce590a97a1ce31e

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Akademický článek

A Methodology for Validating Diversity in Synthetic Time Series Generation

Autor: Fouad Bahrpeyma, Mark Roantree, Paolo Cappellari, Michael Scriney, Andrew McCarren

Publikováno v: MethodsX, Vol 8, Iss , Pp 101459- (2021)

In order for researchers to deliver robust evaluations of time series models, it often requires high volumes of data to ensure the appropriate level of rigor in testing. However, for many researchers, the lack of time series presents a barrier to a d

Externí odkaz: https://doaj.org/article/677b2700240a4604bb195288aade4b10

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Physical literacy in children: Exploring the construct validity of a multidimensional physical literacy construct

Autor: Úna Britton, Sarahjane Belton, Cameron Peers, Johann Issartel, Hannah Goss, Mark Roantree, Stephen Behan

Publikováno v: European Physical Education Review. 29:183-198

Physical literacy (PL) is highlighted as a construct that can positively impact physical activity (PA). Measurement methods and definitions for PL exist, but vary between research groups. This variation affects the ability to compare research finding

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::10650924dda20cb5bf9012520aa49f66
https://doi.org/10.1177/1356336x221131272

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Constructing a Searchable Knowledge Repository for FAIR Climate Data

Autor: Mark Roantree, Branislava Lalić, Stevan Savić, Dragan Milošević, Michael Scriney

The development of a knowledge repository for climate science data is a multidisciplinary effort between the domain experts (climate scientists), data engineers whos skills include design and building a knowledge repository, and machine learning rese

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dee288fbd6b2237b1dba3a87ca18328e
https://doi.org/10.5194/egusphere-egu23-7786

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