1.513   Artículos

 
en línea
Juan Murillo-Morera, Carlos Castro-Herrera, Javier Arroyo, Ruben Fuentes-Fernandez     Pág. 114 - 137
Today, it is common for software projects to collect measurement data through development processes. With these data, defect prediction software can try to estimate the defect proneness of a software module, with the objective of assisting and guiding so... ver más
Revista: Inteligencia Artificial    Formato: Electrónico

 
en línea
Raymundo Peña-García, Rodolfo Daniel Velázquez-Sánchez, Cristian Gómez-Daza-Argumedo, Jonathan Omega Escobedo-Alva, Ricardo Tapia-Herrera and Jesús Alberto Meda-Campaña    
This research introduces a physics-based identification technique utilizing genetic algorithms. The primary objective is to derive a parametric matrix, denoted as A, describing the time-invariant linear model governing the longitudinal dynamics of an air... ver más
Revista: Aerospace    Formato: Electrónico

 
en línea
María Elena Tejeda-del-Cueto, Manuel Alberto Flores-Alfaro, Miguel Toledo-Velázquez, Lorena del Carmen Santos-Cortes, José Hernández-Hernández and Marco Osvaldo Vigueras-Zúñiga    
The objective of this study is to develop a genetic algorithm that uses the IGP parameterization to increase the lift coefficient (CL) of three airfoils to be used on wings of unmanned aerial vehicles (UAVs). The geometry of three baseline airfoils was m... ver más
Revista: Aerospace    Formato: Electrónico

 
en línea
Hassen Louati, Ali Louati, Rahma Lahyani, Elham Kariri and Abdullah Albanyan    
Responding to the critical health crisis triggered by respiratory illnesses, notably COVID-19, this study introduces an innovative and resource-conscious methodology for analyzing chest X-ray images. We unveil a cutting-edge technique that marries neural... ver más
Revista: Information    Formato: Electrónico

 
en línea
Enrique González-Núñez, Luis A. Trejo and Michael Kampouridis    
This research aims at applying the Artificial Organic Network (AON), a nature-inspired, supervised, metaheuristic machine learning framework, to develop a new algorithm based on this machine learning class. The focus of the new algorithm is to model and ... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Mohamed A. Damos, Jun Zhu, Weilian Li, Elhadi Khalifa, Abubakr Hassan, Rashad Elhabob, Alaa Hm and Esra Ei    
Social media platforms play a vital role in determining valuable tourist objectives, which greatly aids in optimizing tourist path planning. As data classification and analysis methods have advanced, machine learning (ML) algorithms such as the k-means a... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Zhu Wang, Junfeng Cheng and Hongtao Hu    
Port operations have been suffering from hybrid uncertainty, leading to various disruptions in efficiency and tenacity. However, these essential uncertain factors are often considered separately in literature during berth and quay crane assignments, lead... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Changping Sun, Mengxia Li, Linying Chen and Pengfei Chen    
Effective utilization of tugboats is the key to safe and efficient transport and service in ports. With the growth of maritime traffic, more and more large seaports show a trend toward becoming super-scale, and are divided into multiple specialized termi... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Jia Wang, Tianyi Tao, Daohua Lu, Zhibin Wang and Rongtao Wang    
The onboard energy supply of Autonomous Underwater Vehicles (AUVs) is one of the main limiting factors for their development. The existing methods of deploying and retrieving AUVs from mother ships consume a significant amount of energy during submerging... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Damir Karabaic, Marko Kr?ulja, Sven Maricic and Lovro Liveric    
The most commonly used subsea pipeline installation method is the S-Lay method. A very important and complex task in an S-Lay installation engineering analysis is to find the optimal pipelay vessel installation configuration for every distinctive pipelin... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

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