|
|
|
|
|
Chowdhury Abrar Faiyaz, Pabel Shahrear, Rakibul Alam Shamim, Thilo Strauss and Taufiquar Khan
This paper aims to determine whether regularization improves image reconstruction in electrical impedance tomography (EIT) using a radial basis network. The primary purpose is to
investigate the effect of regularization to estimate the network parameters...
ver más
|
|
|
|
|
|
|
|
|
Yongtao Lyu, Yibiao Niu, Tao He, Limin Shu, Michael Zhuravkov and Shutao Zhou
In this paper, a new method using the backpropagation (BP) neural network combined with the improved genetic algorithm (GA) is proposed for the inverse design of thin-walled reinforced structures. The BP neural network model is used to establish the mapp...
ver más
|
|
|
|
|
|
|
|
|
Haojie Zhu, Mou Chen, Zengliang Han and Mihai Lungu
This paper concerns the fire-control command calculation (FCCC) of an unmanned autonomous helicopter (UAH). It determines the final effect of the UAH attack. Although many different FCCC methods have been proposed for finding optimal or near-optimal fire...
ver más
|
|
|
|
|
|
|
|
|
Yazeed S. Jweihan, Mazen J. Al-Kheetan and Musab Rabi
Moisture susceptibility is a complex phenomenon that induces various distresses in asphalt pavements and can be assessed by the Retained Stability Index (RSI). This study proposes a robust model to predict the RSI using a hybrid machine learning techniqu...
ver más
|
|
|
|
|
|
|
|
|
Hichem Tahraoui, Selma Toumi, Amel Hind Hassein-Bey, Abla Bousselma, Asma Nour El Houda Sid, Abd-Elmouneïm Belhadj, Zakaria Triki, Mohammed Kebir, Abdeltif Amrane, Jie Zhang, Amin Aymen Assadi, Derradji Chebli, Abdallah Bouguettoucha and Lotfi Mouni
Monitoring stations have been established to combat water pollution, improve the ecosystem, promote human health, and facilitate drinking water production. However, continuous and extensive monitoring of water is costly and time-consuming, resulting in l...
ver más
|
|
|
|