ARTÍCULO
TITULO

Prediction of Research Project Execution using Data Augmentation and Deep Learning

Anibal Flores    
Hugo Tito-Chura    
Lissethe Zea-Rospigliosi    

Resumen

No disponible

 Artículos similares

       
 
Xiaohui Yan, Tianqi Zhang, Wenying Du, Qingjia Meng, Xinghan Xu and Xiang Zhao    
Water quality prediction, a well-established field with broad implications across various sectors, is thoroughly examined in this comprehensive review. Through an exhaustive analysis of over 170 studies conducted in the last five years, we focus on the a... ver más

 
Seyed Mohammad Hashemi, Ruxandra Mihaela Botez and Georges Ghazi    
Accurate aircraft trajectory prediction is fundamental for enhancing air traffic control systems, ensuring a safe and efficient aviation transportation environment. This research presents a detailed study on the efficacy of the Random Forest (RF) methodo... ver más
Revista: Aerospace

 
Jianan Yin, Mingwei Zhang, Yuanyuan Ma, Wei Wu, He Li and Ping Chen    
Airport arrival and departure movements are characterized by high dynamism, stochasticity, and uncertainty. Therefore, it is of paramount importance to predict and analyze surface taxi time accurately and scientifically. This paper conducts a comprehensi... ver más
Revista: Applied Sciences

 
Bon-Ho Gu, Seung-Buhm Woo, Jae-Il Kwon, Sung-Hwan Park and Nam-Hoon Kim    
This study presents a comprehensive analysis of contaminant transport in estuarine environments, focusing on the impact of tidal creeks and flats. The research employs advanced hydrodynamic models with irregular grid systems and conducts a detailed resid... ver más
Revista: Water

 
Gilbert Hinge, Mohamed A. Hamouda and Mohamed M. Mohamed    
In recent years, there has been a growing interest in flood susceptibility modeling. In this study, we conducted a bibliometric analysis followed by a meta-data analysis to capture the nature and evolution of literature, intellectual structure networks, ... ver más
Revista: Water