Redirigiendo al acceso original de articulo en 18 segundos...
Inicio  /  Atmósfera  /  Vol: 30 Núm: 2 Par: 0 (2017)  /  Artículo
ARTÍCULO
TITULO

Preface to the thematic issue on Climate, economics and statistics

Francisco Estrada    
Carlos Gay-García    
René Garduño-López    

Resumen

Environmental problems are typically produced by the interactions of complex natural and human systems and can entail far-reaching and sometimes irreversible consequences. Their study is characterized by the existence of incomplete knowledge and high levels of uncertainty and, in some cases, ambiguousness in the definition of the problem itself and its boundaries. These so-called wicked problems openly challenge the traditional disciplinary approach commonly used in natural and social sciences and call for the development of interdisciplinary, integrated research, as well as for innovative methods and frameworks.

 Artículos similares

       
 
Jinghua Groppe, Sven Groppe, Daniel Senf and Ralf Möller    
Given a set of software programs, each being labeled either as vulnerable or benign, deep learning technology can be used to automatically build a software vulnerability detector. A challenge in this context is that there are countless equivalent ways to... ver más
Revista: Information

 
Aliyye Kara, Ibrahim Eksin and Ata Mugan    
The design optimization of structures can be conducted in either the time domain or the frequency domain. The frequency domain approach is advantageous compared to its time domain counterpart, especially if the degree of freedom is large, the objectives ... ver más
Revista: Applied Sciences

 
Abdullahi T. Sulaiman, Habeeb Bello-Salau, Adeiza J. Onumanyi, Muhammed B. Mu?azu, Emmanuel A. Adedokun, Ahmed T. Salawudeen and Abdulfatai D. Adekale    
The particle swarm optimization (PSO) algorithm is widely used for optimization purposes across various domains, such as in precision agriculture, vehicular ad hoc networks, path planning, and for the assessment of mathematical test functions towards ben... ver más
Revista: Algorithms

 
Jiaming Li, Ning Xie and Tingting Zhao    
In recent years, with the rapid advancements in Natural Language Processing (NLP) technologies, large models have become widespread. Traditional reinforcement learning algorithms have also started experimenting with language models to optimize training. ... ver más
Revista: Algorithms

 
Xiaonan Si, Lei Wang, Wenchang Xu, Biao Wang and Wenbo Cheng    
Gout is one of the most painful diseases in the world. Accurate classification of gout is crucial for diagnosis and treatment which can potentially save lives. However, the current methods for classifying gout periods have demonstrated poor performance a... ver más
Revista: Algorithms