|
|
|
|
|
Li Yu, Liuquan Xu and Xuefeng Jiang
The increasing prevalence of unknown-type attacks on the Internet highlights the importance of developing efficient intrusion detection systems. While machine learning-based techniques can detect unknown types of attacks, the need for innovative approach...
ver más
|
|
|
|
|
|
|
|
|
Jiada Li, Courtenay Strong, Jun Wang and Steven Burian
Assessing the resilience of urban drainage systems requires the consideration of future disturbances that will disrupt the system?s performance and trigger urban flooding failures. However, most existing resilience assessments of urban drainage systems r...
ver más
|
|
|
|
|
|
|
|
|
Bin Zhang, Hongyi Lu, Shun Liu, Yucheng Yang and Doudou Sang
Multi-stage disc rotor assembly is an important part of the aero-engine rotor manufacturing process. To solve the problem that excessive unbalance of assembly affects the vibration of the whole machine, this paper presents an optimization method for aero...
ver más
|
|
|
|
|
|
|
|
|
Zhiqian Zhang, Lei Liu, Lin Quan, Guohong Shen, Rui Zhang, Yuqi Jiang, Yuxiong Xue and Xianghua Zeng
Accurately predicting proton flux in the space radiation environment is crucial for satellite in-orbit management and space science research. This paper proposes a proton flux prediction method based on a hybrid neural network. This method is a predictiv...
ver más
|
|
|
|
|
|
|
|
|
Ismail Mohsine, Ilias Kacimi, Shiny Abraham, Vincent Valles, Laurent Barbiero, Fabrice Dassonville, Tarik Bahaj, Nadia Kassou, Abdessamad Touiouine, Meryem Jabrane, Meryem Touzani, Badr El Mahrad and Tarik Bouramtane
Defining homogeneous units to optimize the monitoring and management of groundwater is a key challenge for organizations responsible for the protection of water for human consumption. However, the number of groundwater bodies (GWBs) is too large for targ...
ver más
|
|
|
|