|
|
|
|
|
Hanqiao Huang, Weiye Weng, Huan Zhou, Zijian Jiang and Yue Dong
When facing problems in the aerial pursuit game, most of the current unmanned aerial vehicles (UAVs) have good maneuverability performance, but it is difficult to utilize the overload maneuverability of UAVs properly; further, UAVs tend to be more costly...
ver más
|
|
|
|
|
|
|
|
|
Feifei He, Qinjuan Wan, Yongqiang Wang, Jiang Wu, Xiaoqi Zhang and Yu Feng
Accurately predicting hydrological runoff is crucial for water resource allocation and power station scheduling. However, there is no perfect model that can accurately predict future runoff. In this paper, a daily runoff prediction method with a seasonal...
ver más
|
|
|
|
|
|
|
|
|
Jo?ef ?imenko, Nik Mahnic, David Kukovica, Hrvoje Sertic, Ivan Segedi, Radoje Milic, Damir Karpljuk, Bayram Ceylan and Samo Rauter
This paper highlights the importance of young athletes? testing and comparison to correct variables of available normative values in upper body Wingate testing. Therefore, we must be careful which results (absolute or relative) we compare to the establis...
ver más
|
|
|
|
|
|
|
|
|
Meng-Leong How and Sin-Mei Cheah
The fusion of quantum computing and artificial intelligence (AI) heralds a transformative era for Industry 4.0, offering unprecedented capabilities and challenges. This paper delves into the intricacies of quantum AI, its potential impact on Industry 4.0...
ver más
|
|
|
|
|
|
|
|
|
Wenhao Sun, Yidong Zou, Yunhe Wang, Boyi Xiao, Haichuan Zhang and Zhihuai Xiao
In the practical production environment, the complexity and variability of hydroelectric units often result in a need for more fault data, leading to inadequate accuracy in fault identification for data-driven intelligent diagnostic models. To address th...
ver más
|
|
|
|