ListarProducción Científica por tema "Machine learning"
Mostrando ítems 1-20 de 28
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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 ... -
Automatic melanoma diagnosis via modern machine learning techniques
(Universidad de Córdoba, UCOPress, 2022)The incidence and mortality rates of skin cancer remain a huge concern in many countries. According to the latest statistics about melanoma skin cancer, only in the Unites States, 7,650 deaths are expected in 2022, which ... -
Bioinformatic approaches for identification of epigenetic profiles in neuropathology processes
(Universidad de Córdoba, UCOPress, 2022)Degenerative neurological diseases, such as Alzheimer, Multiple Sclerosis or Huntington Disease, are illnesses that are not well-known while at the same time having a significant impact on the quality of life of the ... -
Clustering, prediction and ordinal classification of time series using machine learning techniques: applications
(Universidad de Córdoba, UCOPress, 2021)In the last years, there has been an increase in the number of fields improving their standard processes by using machine learning (ML) techniques. The main reason for this is that the vast amount of data generated by these ... -
Comprehensive comparison of several data-driven methods for Mediterranean water resources management across diferent temporal scales
(Universidad de Córdoba, UCOPress, 2021)Since the beginning of time, there has been innovation in the knowledge and technology of water and the hydraulic systems, to achieve an efficient and upgrade management of them. In this project, as an opening hypothesis, ... -
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 ... -
Desarrollo y aplicación de nuevos modelos de aprendizaje automático para el estudio del cáncer colorrectal
(Universidad de Córdoba, UCOPress, 2023)En la actualidad, en el ámbito sanitario, hay un interés creciente en la consideración de técnicas de Inteligencia Artificial, en concreto técnicas de Aprendizaje Automático o Machine Learning, que tan buenos resultados ... -
Determination of the potential influence of soil in the differentiation of productivity and in the classification of susceptible areas to Banana Wilt in Venezuela
(Universidad de Córdoba, UCOPress, 2022)Banana, the edible fruit of Musaceae, is a staple food for more than 400 million people worldwide due to their nutritional and energy attributes. This makes Musaceae a crop of worldwide relevance, particularly in tropical ... -
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. ... -
Mortalidad en pacientes en diálisis: importancia y desarrollo de nuevos métodos fiables de predicción
(Universidad de Córdoba, UCOPress, 2022)Introducción: Actualmente, con el fin de generar modelos predictivos, se están usando métodos no paramétricos basados en técnicas conocidas como “Machine Learning”, por ejemplo, Random Forest, además del análisis de Regresión ... -
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 ... -
Novel support vector machines for diverse learning paradigms
(Universidad de Córdoba, UCOPress, 2019)