Browsing by Title
Now showing items 23956-23975 of 32078
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Predicción y vigilancia de fenómenos meteorológicos adversos para la circulación ferroviaria
(Universidade da Coruña, 1998) -
Predición de preferencia de usuario mediante técnicas de Soft Computing
(2021)[Resumo] O contido desta tese por compendio é a agrupación de tres artigos de investigación publicados en revistas de prestixio, que abordan a necesidade e a forma de mellorar os métodos de predición de preferencia ... -
Predicted and actual 2-year structural and pain progression in the IMI-APPROACH knee osteoarthritis cohort
(Oxford Academic, 2023-01)[Abstract] Objectives: The IMI-APPROACH knee osteoarthritis study used machine learning (ML) to predict structural and/or pain progression, expressed by a structural (S) and pain (P) predicted-progression score, to select ... -
Predicting changes to macrobenthic communities due to fishing disturbance in a shrimp fishing ground of the Mexican central Pacific
(2002)[Abstract] We test predicted short-term structural changes in the macroinvertebrate assemblages of a shrimp fishing ground in the tropical Mexican Pacific subject to low effort with seasonal closures. During two years, ... -
Predicting Inflow Flow in Hydraulic Dams Using Artificial Neural Networks
(Universidade da Coruña, Servizo de Publicacións, 2023)[Abstract] Accurate prediction of inflow in dams plays a crucial role in water resource management Kim et al. (2019); Vargas-Garay et al. (2018); Zhong et al. (2018) and risk mitigation Costabile et al. (2020); Rabuñal et ... -
Predicting pharmaceutical inkjet printing outcomes using machine learning
(Elsevier B.V., 2023)[Abstract]: Inkjet printing has been extensively explored in recent years to produce personalised medicines due to its low cost and versatility. Pharmaceutical applications have ranged from orodispersible films to complex ... -
Predicting rainfall and irrigation requirements of corn in Ecuador
(Elsevier Ltd, 2023-08)[Abstract]: This work is a case study whose objective is prediction of irrigation needs of corn crops in different regions of Ecuador; being this a fundamental basic food for the country's economy, as in the remaining ... -
Predicting vertical urban growth using genetic evolutionary algorithms in Tokyo’s minato ward
(American Society of Civil Engineers, 2018-03)[Abstract] This article explores the use of evolutionary genetic algorithms to predict scenarios of urban vertical growth in large urban centers. Tokyo’s Minato Ward is used as a case study because it has been one of the ... -
Predicting Weathering Indices in Soils Using FTIR Spectra and Random Forest Models
(Elsevier, 2021-05-19)[Abstract] Weathering indices based on the relative proportions of different chemical elements are a useful tool to investigate the degree of weathering of soils. This characterization is missing in West Azerbaijan, northern ... -
Prediction Model for Physical Activity Level in Primary School Students
(MDPI, 2022-03-04)[Abstract] The aim of this study was to provide an explanatory prediction model for physical activity level in children, involving a number of influencing variables. In total, 1971 people participated in the study: 657 ... -
Prediction of Anti-Glioblastoma Drug-Decorated Nanoparticle Delivery Systems Using Molecular Descriptors and Machine Learning
(MDPI, 2021)[Abstract] The theoretical prediction of drug-decorated nanoparticles (DDNPs) has become a very important task in medical applications. For the current paper, Perturbation Theory Machine Learning (PTML) models were built ... -
Prediction of Antimalarial Drug-Decorated Nanoparticle Delivery Systems with Random Forest Models
(MDPI, 2020-07)[Abstract]: Drug-decorated nanoparticles (DDNPs) have important medical applications. The current work combined Perturbation Theory with Machine Learning and Information Fusion (PTMLIF). Thus, PTMLIF models were proposed ... -
Prediction of Breast Cancer Proteins Involved in Immunotherapy, Metastasis, and RNA-Binding Using Molecular Descriptors and Artifcial Neural Networks
(Springer Nature, 2020-05-22)[Abstract] Breast cancer (BC) is a heterogeneous disease where genomic alterations, protein expression deregulation, signaling pathway alterations, hormone disruption, ethnicity and environmental determinants are involved. ... -
Prediction of bronchopulmonary dysplasia in very preterm infants: competitive risk model nomogram
(Frontiers, 2024-02-20)[Abstract] Objective: To develop predictive clinical models of bronchopulmonary dysplasia (BPD) through competing risk analysis. Methods: Retrospective observational cohort study, including preterm newborns ≤32 weeks ... -
Prediction of cardiovascular, cancer and non-cardiovascular non-cancer death by exercise echocardiography
(Oxford Academic, 2020-12-01) -
Prediction of compound-target interaction using several artificial intelligence algorithms and comparison with a consensus-based strategy
(BMC, 2024-03-07)[Absctract]: For understanding a chemical compound’s mechanism of action and its side effects, as well as for drug discovery, it is crucial to predict its possible protein targets. This study examines 15 developed ... -
Prediction of daily global solar radiation and air temperature using six machine learning algorithms; a case of 27 European countries
(Elsevier, 2022)[Abstract] The prediction of global solar radiation in a region is of great importance as it provides investors and politicians with more detailed knowledge about the solar resource of that region, which can be very ... -
Prediction of forest fires occurrences with area-level Poisson mixed models
(Academic Press, 2015-05-01)[Abstract] The number of fires in forest areas of Galicia (north-west of Spain) during the summer period is quite high. Local authorities are interested in analyzing the factors that explain this phenomenon. Poisson ... -
Prediction of high anti-angiogenic activity peptides in silico using a generalized linear model and feature selection
(Nature, 2018-10-24)[Abstract] Screening and in silico modeling are critical activities for the reduction of experimental costs. They also speed up research notably and strengthen the theoretical framework, thus allowing researchers to ... -
Prediction of insulin therapy in women with gestational diabetes: a systematic review and meta-analysis of observational studies
(De Gruyter, 2022-03-22)[Abstract] Objectives: To identify antenatal risk factors that may predict the need for insulin treatment upon diagnosis of gestational diabetes (GDM), that is, to identify the specific characteristics of women diagnosed ...