|
|
|
|
|
Chenglin Yang, Dongliang Xu and Xiao Ma
Due to the increasing severity of network security issues, training corresponding detection models requires large datasets. In this work, we propose a novel method based on generative adversarial networks to synthesize network data traffic. We introduced...
ver más
|
|
|
|
|
|
|
|
|
|
|
Martin Jurícek, Roman Parák and Jakub Kudela
The significance of robot manipulators in engineering applications and scientific research has increased substantially in recent years. The utilization of robot manipulators to save labor and increase production accuracy is becoming a common practice in ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Simone Ciccolella, Gianluca Della Vedova, Vladimir Filipovic and Mauricio Soto Gomez
Being able to infer the clonal evolution and progression of cancer makes it possible to devise targeted therapies to treat the disease. As discussed in several studies, understanding the history of accumulation and the evolution of mutations during cance...
ver más
|
|
|
|
|
|
|
|
|
|
|
Thomas Carolus and Konrad Bamberger
This study targets determining impellers of impeller-only axial fans with an optimal hub-to-tip ratio for the highest achievable total-to-static efficiency. Differently from other studies, a holistic approach is chosen. Firstly, the complete class of the...
ver más
|
|
|
|
|
|
|
|
|
|
|
Vladimir Stanovov, Shakhnaz Akhmedova and Eugene Semenkin
Parameter adaptation is one of the key research fields in the area of evolutionary computation. In this study, the application of neuroevolution of augmented topologies to design efficient parameter adaptation techniques for differential evolution is con...
ver más
|
|
|
|
|
|
|
|
|
|
|
João Correia, Nereida Rodriguez-Fernandez, Leonardo Vieira, Juan Romero and Penousal Machado
Image Enhancement (IE) is an image processing procedure in which the image?s original information is improved, highlighting specific features to ease post-processing analyses by a human or machine. State-of-the-art image enhancement pipelines apply solut...
ver más
|
|
|
|
|
|
|
|
|
|
|
Pamela Al Alam, Joseph Constantin, Ibtissam Constantin and Clelia Lopez
Road traffic congestion has became a major problem in most countries because it affects sustainable mobility. Partitioning a transport network into homogeneous areas can be very useful for monitoring traffic as congestion is spatially correlated in adjac...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jan Strappa, Paola Caymes-Scutari and Germán Bianchini
The problem of wildfire spread prediction presents a high degree of complexity due in large part to the limitations for providing accurate input parameters in real time (e.g., wind speed, temperature, moisture of the soil, etc.). This uncertainty in the ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Aleksei Vakhnin and Evgenii Sopov
Modern real-valued optimization problems are complex and high-dimensional, and they are known as ?large-scale global optimization (LSGO)? problems. Classic evolutionary algorithms (EAs) perform poorly on this class of problems because of the curse of dim...
ver más
|
|
|
|
|
|
|
|
|
|
|
Chong Zhou, Shengjie Li, Yuhe Zhang, Zhikun Chen and Cuijun Zhang
Backtracking Search Algorithm (BSA) is a younger population-based evolutionary algorithm and widely researched. Due to the introduction of historical population and no guidance toward to the best individual, BSA does not adequately use the information in...
ver más
|
|
|
|
|
|