161   Artículos

 
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
Khalid Alnajim and Ahmed A. Abokifa    
In the wake of the terrorist attacks of 11 September 2001, extensive research efforts have been dedicated to the development of computational algorithms for identifying contamination sources in water distribution systems (WDSs). Previous studies have ext... ver más
Revista: Water    Formato: Electrónico

 
en línea
Wei Wang, Huanhuan Feng, Yanzong Li, Quanwei You and Xu Zhou    
At present, the determination of tunnel parameters mainly rely on engineering experience and human judgment, which leads to the subjective decision of parameters and an increased construction risk. Machine learning algorithms could provide an objective t... ver más
Revista: Buildings    Formato: Electrónico

 
en línea
Yu Yao and Quan Qian    
We develop the online process parameter design (OPPD) framework for efficiently handling streaming data collected from industrial automation equipment. This framework integrates online machine learning, concept drift detection and Bayesian optimization t... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Vedat Dogan and Steven Prestwich    
In a multi-objective optimization problem, a decision maker has more than one objective to optimize. In a bilevel optimization problem, there are the following two decision-makers in a hierarchy: a leader who makes the first decision and a follower who r... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Dilip Kumar Roy, Mohamed Anower Hossain, Mohamed Panjarul Haque, Abed Alataway, Ahmed Z. Dewidar and Mohamed A. Mattar    
This study addresses the crucial role of temperature forecasting, particularly in agricultural contexts, where daily maximum (???????? T m a x ) and minimum (???????? T m i n ) temperatures significantly impact crop growth and irrigation planning. While ... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Han Zhang, Yadong Wu, Weihan Zhang and Yuling Zhang    
The precise ascertainment of stellar ages is pivotal for astrophysical research into stellar characteristics and galactic dynamics. To address the prevalent challenges of suboptimal accuracy in stellar age determination and limited proficiency in apprehe... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Saile Zhang, Qingzhen Yang, Rui Wang and Xufei Wang    
The use of traditional optimization methods in engineering design problems, specifically in aerodynamic and infrared stealth optimization for engine nozzles, requires a large number of objective function evaluations, therefore introducing a considerable ... ver más
Revista: Aerospace    Formato: Electrónico

 
en línea
Yunzhou Chen, Shumin Wang, Ziying Gu and Fan Yang    
Spatial population distribution data is the discretization of demographic data into spatial grids, which has vital reference significance for disaster emergency response, disaster assessment, emergency rescue resource allocation, and post-disaster recons... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Danilo Pau, Andrea Pisani and Antonio Candelieri    
In the context of TinyML, many research efforts have been devoted to designing forward topologies to support On-Device Learning. Reaching this target would bring numerous advantages, including reductions in latency and computational complexity, stronger ... ver más
Revista: Algorithms    Formato: Electrónico

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