75   Artículos

 
en línea
Angel E. Muñoz-Zavala, Jorge E. Macías-Díaz, Daniel Alba-Cuéllar and José A. Guerrero-Díaz-de-León    
This paper reviews the application of artificial neural network (ANN) models to time series prediction tasks. We begin by briefly introducing some basic concepts and terms related to time series analysis, and by outlining some of the most popular ANN arc... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Aristeidis Karras, Anastasios Giannaros, Christos Karras, Leonidas Theodorakopoulos, Constantinos S. Mammassis, George A. Krimpas and Spyros Sioutas    
In the context of the Internet of Things (IoT), Tiny Machine Learning (TinyML) and Big Data, enhanced by Edge Artificial Intelligence, are essential for effectively managing the extensive data produced by numerous connected devices. Our study introduces ... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Lingzhi Yin and Yafei Wang    
Delving into the spatiotemporal evolution of the railway network in different periods can provide guidance and reference for the planning and layout of the railway network. However, most of the existing studies tended to model the railway data separately... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Marko Jevtic, Sa?a Mladenovic and Andrina Granic    
Due to the everchanging and evergrowing nature of programming technologies, the gap between the programming industry?s needs and the educational capabilities of both formal and informal educational environments has never been wider. However, the need to ... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Yao Ding, Yin Wang, Shuming Yang, Xiaolong Zhao, Lili Ouyang and Chengyue Lai    
The current standards used for nitrogen pollution evaluation are lacking, and scientific classification methods are needed for nitrogen pollution to improve water quality management capabilities. This study addresses the important issue of assessing surf... ver más
Revista: Water    Formato: Electrónico

 
en línea
D. Criado-Ramón, L. G. B. Ruiz and M. C. Pegalajar    
Pattern sequence-based models are a type of forecasting algorithm that utilizes clustering and other techniques to produce easily interpretable predictions faster than traditional machine learning models. This research focuses on their application in ene... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Dhan Lord B. Fortela, Ashton C. Fremin, Wayne Sharp, Ashley P. Mikolajczyk, Emmanuel Revellame, William Holmes, Rafael Hernandez and Mark Zappi    
This work focused on demonstrating the capability of unsupervised machine learning techniques in detecting impending anomalies by extracting hidden trends in the datasets of fuel economy and emissions of light-duty vehicles (LDVs), which consist of cars ... ver más
Revista: Clean Technologies    Formato: Electrónico

 
en línea
Dhan Lord B. Fortela, Alyssa M. DeLattre, Wayne W. Sharp, Emmanuel D. Revellame and Mark E. Zappi    
Microalgae are multi-purpose microbial agents due to their capability to efficiently sequester carbon dioxide and produce valuable biomass such as protein and single-cell oils. Formulation and tuning of microalgae kinetics models can significantly contri... ver más
Revista: Clean Technologies    Formato: Electrónico

 
en línea
Xiaoyu Huang, Mingming Liu, Samuel T. Turvey, Mingli Lin and Songhai Li    
Marine mammals are a diverse group of aquatic animals that exhibit wide variation in body size, living conditions, breeding habitat, social behaviour and phylogeny. Although case studies about prenatal investment in cetaceans and pinnipeds have been inve... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Zuxuan Song, Fangmei Liu, Wenbo Lv and Jianwu Yan    
Exploring the transformation process of urban agricultural functions and its interaction with carbon effects based on regional differences is of great positive significance for achieving a low-carbon sustainable development of agriculture in metropolitan... ver más
Revista: Agriculture    Formato: Electrónico

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