ListarArtículos, capítulos, libros...UCO por tema "Machine learning"
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A Review of Classification Problems and Algorithms in Renewable Energy Applications
(MDPI, 2016)Classification problems and their corresponding solving approaches constitute one of the fields of machine learning. The application of classification schemes in Renewable Energy (RE) has gained significant attention in ... -
A Taxonomy of Information Attributes for Test Case Prioritisation: Applicability, Machine Learning
(Association for Computing Machinery, 2023)Most software companies have extensive test suites and re-run parts of them continuously to ensure recent changes have no adverse effects. Since test suites are costly to execute, industry needs methods for test case ... -
A weed monitoring system using UAV-imagery and the Hough transform
(2015)Usually, crops require the use of herbicides as a useful manner of controlling the quality and quantity of crop production. Although there are weed-free areas, the most common approach is to broadcast herbicides entirely ... -
AgroML: An Open-Source Repository to Forecast Reference Evapotranspiration in Different Geo-Climatic Conditions Using Machine Learning and Transformer-Based Models
(MDPI, 2022)Accurately forecasting reference evapotranspiration (ET0) values is crucial to improve crop irrigation scheduling, allowing anticipated planning decisions and optimized water resource management and agricultural production. ... -
Artificial intelligence to automate the systematic review of scientific literature
(Springer, 2023)Artificial intelligence (AI) has acquired notorious relevance in modern computing as it effectively solves complex tasks traditionally done by humans. AI provides methods to represent and infer knowledge, efficiently ... -
Assessing Machine Learning Models for Gap Filling Daily Rainfall Series in a Semiarid Region of Spain
(MDPI, 2021)The presence of missing data in hydrometeorological datasets is a common problem, usually due to sensor malfunction, deficiencies in records storage and transmission, or other recovery procedures issues. These missing ... -
Attention is all water need: Multistep time series irrigation water demand forecasting in irrigation disctrics
(Elsevier, 2024)Energy demand, energy cost and water scarcity are three of the main problems in the new Irrigation districts (ID) where the irrigation distribution networks are pressurized and frequently organized on-demand (water is ... -
Data mining in predictive maintenance systems: A taxonomy and systematic review
(Wiley, 2022)Predictive maintenance is a field of study whose main objective is to optimize the timing and type of maintenance to perform on various industrial systems. This aim involves maximizing the availability time of the monitored ... -
Energy Management Expert Assistant, a New Concept
(MDPI, 2021)In recent years, interest in home energy management systems (HEMS) has grown significantly, as well as the development of Voice Assistants that substantially increase home comfort. This paper presents a novel merging of ... -
GEML: A grammar-based evolutionary machine learning approach for design-pattern detection
(Elsevier, 2021)Design patterns (DPs) are recognised as a good practice in software development. However, the lack of appropriate documentation often hampers traceability, and their benefits are blurred among thousands of lines of code. ... -
New memory-based hybrid model for middle-term water demand forecasting in irrigated areas
(Elsevier, 2023)The energy demand and their associated costs in pressurized irrigation networks together with water scarcity are currently causing serious challenges for irrigation district’s (ID) managers. Additionally, most of the new ... -
Predicting the risk of verticillium wilt in olive orchards using fuzzy logic
(MDPI, 2023)Developing models to understand disease dynamics and predict the risk of disease outbreaks to facilitate decision making is an integral component of plant disease management. However, these models have not yet been developed ... -
SDM-CropProj – A model-assisted framework to forecast crop environmental suitability and fruit production
(Elsevier, 2021)The effects of climate change (CC) will impact species ranges, and crops are no exception. Anticipating these changes through forecasting the environmentally suitable area of crops would help to reduce or mitigate the ... -
Use of Data Mining Techniques for the Prediction of Surface Roughness of Printed Parts in Polylactic Acid (PLA) by Fused Deposition Modeling (FDM): A Practical Application in Frame Glasses Manufacturing
(MDPI, 2020)In the present work, ten data mining algorithms have been used to generate models capable of predicting the surface roughness of parts printed on polylactic acid (PLA) by using fused deposition modeling (FDM). The models ... -
Use of recommendation models to provide support to dyslexic students
(Elsevier, 2024)Dyslexia is the most widespread specific learning disorder and significantly impair different cognitive domains. This, in turn, negatively affects dyslexic students during their learning path. Therefore, specific support ... -
Use of the support vector machine (SVM) algorithm to predict geometrical accuracy in the manufacture of molds via single point incremental forming (SPIF) using aluminized steel sheets
(Elsevier, 2021)In the present work, the use of the support vector machine (SVM) algorithm is proposed to generate models that allow predicting the geometrical accuracy of molds manufactured via single point incremental forming (SPIF) ...