3.501   Artículos

 
en línea
Julio Garrote, Ignacio Gutiérrez-Pérez and Andrés Díez-Herrero    
Calibration and validation of flood risk maps at a national or a supra-national level remains a problematic aspect due to the limited information available to carry out these tasks. However, this validation is essential to define the representativeness o... ver más
Revista: Water    Formato: Electrónico

 
en línea
Aleksy Kwilinski     Pág. 7 - 16
The article establishes that the development of an industrial enterprise in the conditions of the information economy requires an assessment of the competitiveness of the enterprise. To solve this problem, a mechanism for assessing the competitiveness of... ver más
Revista: Research Papers in Economics and Finance    Formato: Electrónico

 
en línea
Saeed Samadianfard, Salar Jarhan, Ely Salwana, Amir Mosavi, Shahaboddin Shamshirband and Shatirah Akib    
Advancement in river flow prediction systems can greatly empower the operational river management to make better decisions, practices, and policies. Machine learning methods recently have shown promising results in building accurate models for river flow... ver más
Revista: Water    Formato: Electrónico

 
en línea
Bahareh Kalantar, Husam A. H. Al-Najjar, Biswajeet Pradhan, Vahideh Saeidi, Alfian Abdul Halin, Naonori Ueda and Seyed Amir Naghibi    
Assessment of the most appropriate groundwater conditioning factors (GCFs) is essential when performing analyses for groundwater potential mapping. For this reason, in this work, we look at three statistical factor analysis methods?Variance Inflation Fac... ver más
Revista: Water    Formato: Electrónico

 
en línea
José Luis da Silva Pinho,António Pereira,Rolando Faria     Pág. 69 - 82
Os sistemas de previsão e alerta utilizados na gestão de recursos hídricos e operação de sistemas de drenagem tiveram desenvolvimentos significativos nos últimos anos. Esses desenvolvimentos resultaram da disponibilidade de informações meteorológicas em ... ver más
Revista: Revista Eletrônica de Gestão e Tecnologias Ambientais    Formato: Electrónico

 
en línea
Guy Austern, Tanya Bloch and Yael Abulafia    
The application of machine learning (ML) for the automatic classification of building elements is a powerful technique for ensuring information integrity in building information models (BIMs). Previous work has demonstrated the favorable performance of s... ver más
Revista: Buildings    Formato: Electrónico

 
en línea
Sabrina De Nardi, Claudio Carnevale, Sara Raccagni and Lucia Sangiorgi    
Models are a core element in performing local estimation of the climate change input. In this work, a novel approach to perform a fast downscaling of global temperature anomalies on a regional level is presented. The approach is based on a set of data-dr... ver más
Revista: Forecasting    Formato: Electrónico

 
en línea
Madhav Mukherjee, Ngoc Thuy Le, Yang-Wai Chow and Willy Susilo    
As the demand for cybersecurity experts in the industry grows, we face a widening shortage of skilled professionals. This pressing concern has spurred extensive research within academia and national bodies, who are striving to bridge this skills gap thro... ver más
Revista: Information    Formato: Electrónico

 
en línea
Alexander Robitzsch    
Item response theory (IRT) models are frequently used to analyze multivariate categorical data from questionnaires or cognitive test data. In order to reduce the model complexity in item response models, regularized estimation is now widely applied, addi... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Kenneth Thibodeau    
Constructed Past Theory (CPT) is an abstract representation of how information about the past is produced and interpreted. It is grounded in the assertion that whatever we can write or say about anything in the past is the product of cognition. Understan... ver más
Revista: Information    Formato: Electrónico

« Anterior     Página: 1 de 211     Siguiente »