|
|
|
|
|
Piotr Bortnowski, Robert Król, Natalia Suchorab-Matuszewska, Maksymilian Ozdoba and Mateusz Szczerbakowicz
This study examines the optimization of ore receiving bins in underground copper mines, targeting the reduction of rapid wear and tear on bin components. The investigation identifies the primary wear contributors as the force exerted by the accumulated o...
ver más
|
|
|
|
|
|
|
|
|
|
|
Nikola ?igulic, Matko Glucina, Ivan Lorencin and Dario Matika
This study delves into the vital missions of the armed forces, encompassing the defense of territorial integrity, sovereignty, and support for civil institutions. Commanders grapple with crucial decisions, where accountability underscores the imperative ...
ver más
|
|
|
|
|
|
|
|
|
|
|
George Tzougas and Konstantin Kutzkov
We developed a methodology for the neural network boosting of logistic regression aimed at learning an additional model structure from the data. In particular, we constructed two classes of neural network-based models: shallow?dense neural networks with ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Chao Wang, Jianhui Xu, Yuefeng Li, Tuanhui Wang and Qiwei Wang
Rockbursts are serious threats to the safe production of mining, resulting in great casualties and property losses. The accurate prediction of rockburst is an important premise that influences the safety and health of miners. As a classical machine learn...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jian Zheng, Wenjun Sun, Yun Li and Jiayin Hu
In order to solve the multi-objective planning and trajectory tracking control problem related to maritime autonomous surface ships (MASSs), a new design scheme for autonomous navigation is proposed in this paper, with a receding horizon navigation and c...
ver más
|
|
|
|
|
|
|
|
|
|
|
Gaiya Feng, Jiongran Wen and Chengwei Fei
To achieve the low-cycle fatigue (LCF) lifetime prediction and reliability estimation of turbine blisks, a Marine Predators Algorithm (MPA)-based Kriging (MPA-Kriging) method is developed by introducing the MPA into the Kriging model. To obtain the optim...
ver más
|
|
|
|
|
|
|
|
|
|
|
Gongfa Chen, Xuedi Chen, Linqing Yang, Zejun Han and David Bassir
Based on the spectral element method (SEM) and a convolutional neural network (CNN), an inversion algorithm for the dynamic modulus of concrete pavement structures is proposed in this paper. In order to evaluate the service performance of pavement struct...
ver más
|
|
|
|
|
|
|
|
|
|
|
Joseph Isabona, Agbotiname Lucky Imoize, Oluwasayo Akinloye Akinwumi, Okiemute Roberts Omasheye, Emughedi Oghu, Cheng-Chi Lee and Chun-Ta Li
Benchmarking different optimization algorithms is tasky, particularly for network-based cellular communication systems. The design and management process of these systems involves many stochastic variables and complex design parameters that demand an unb...
ver más
|
|
|
|
|
|
|
|
|
|
|
Xiangpeng Fan and Zhibin Guan
The automatic recognition of crop diseases based on visual perception algorithms is one of the important research directions in the current prevention and control of crop diseases. However, there are two issues to be addressed in corn disease identificat...
ver más
|
|
|
|
|
|
|
|
|
|
|
Kyeong Ryong Kim, Aaron Lim and Jae Hyung Cho
The exterior location of a user can be accurately determined using a global positioning system (GPS). However, accurately locating objects indoors poses challenges due to signal penetration limitations within buildings. In this study, an MLP with stochas...
ver más
|
|
|
|
|
|