|
|
|
|
|
Alireza Hajiheidari, Mahmoud Reza Delavar and Abbas Rajabifard
Enriching and updating maps are among the most important tasks of any urban management organization for informed decision making. Urban cadastral map enrichment is a time-consuming and costly process, which needs an expert?s opinion for quality control. ...
ver más
|
|
|
|
|
|
|
|
|
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
|
|
|
|
|
|
|
|
|
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
|
|
|
|
|
|
|
|
|
Jiangnan Zhang and Mehrdad Zangeneh
In this paper, we present the design and optimization of a centrifugal fan with requirements of maximizing the total-to-static pressure rise and total-to-static efficiency at two operating points and the maximum torque provided by the motor power using a...
ver más
|
|
|
|
|
|
|
|
|
Yazheng Ren, Huiying Zhang, Xinhua Wang, Zhanfei Gu, Linie Fu and Yang Cheng
Currently, most of the studies using optimization algorithms to mitigate the urban flooding problem have no more than three optimization objectives, and few of them take the operation status of the traditional drainage system as one of the optimization o...
ver más
|
|
|
|