Redirigiendo al acceso original de articulo en 17 segundos...
Inicio  /  Sustainability  /  Vol: 11 Núm: 2 Par: January (2019)  /  Artículo
ARTÍCULO
TITULO

Application of Artificial Neural Networks for Multi-Criteria Yield Prediction of Winter Rapeseed

Resumen

No disponible

 Artículos similares

       
 
Sarah A. Chauncey and H. Patricia McKenna    
The purpose of this study is to advance conceptual understandings of the cognitive flexibility construct, in support of creativity and innovation in smart city civic spaces, employing the use of large language model artificial intelligence chatbots such ... ver más
Revista: Urban Science

 
Sachin Gowda, Vaishakh Kunjar, Aakash Gupta, Govindaswamy Kavitha, Bishnu Kant Shukla and Parveen Sihag    
In the realm of urban geotechnical infrastructure development, accurate estimation of the California Bearing Ratio (CBR), a key indicator of the strength of unbound granular material and subgrade soil, is paramount for pavement design. Traditional labora... ver más
Revista: Urban Science

 
Sepideh Molaei, Stefano Cirillo and Giandomenico Solimando    
MicroRNAs (miRNAs) play a crucial role in cancer development, but not all miRNAs are equally significant in cancer detection. Traditional methods face challenges in effectively identifying cancer-associated miRNAs due to data complexity and volume. This ... ver más

 
Wei He and Mingze Chen    
The advancement of cutting-edge technologies significantly transforms urban lifestyles and is indispensable in sustainable urban design and planning. This systematic review focuses on the critical role of innovative technologies and digitalization, parti... ver más
Revista: Buildings

 
Carmine Massarelli and Vito Felice Uricchio    
This study focuses on the analysis, implementation and integration of techniques and methods, also based on mathematical algorithms and artificial intelligence (AI), to acquire knowledge of some phenomena that produce pollution with an impact on environm... ver más
Revista: Urban Science