no code implementations • 2 Dec 2021 • Haiquan Wang, Hans-DietrichHaasis, Panpan Du, Xiaobin Xu, Menghao Su, Shengjun Wen, Wenxuan Yue, Shanshan Zhang
As an effective algorithm for solving complex optimization problems, artificial bee colony (ABC) algorithm has shown to be competitive, but the same as other population-based algorithms, it is poor at balancing the abilities of global searching in the whole solution space (named as exploration) and quick searching in local solution space which is defined as exploitation.
no code implementations • 1 Dec 2021 • Haiquan Wang, Wenxuan Yue, Shengjun Wen, Xiaobin Xu, Menghao Su, Shanshan Zhang, Panpan Du
Moreover, XGBoost is used to recognize the faults from the obtained features, and an improved artificial bee colony algorithm(ABC) where the evolution is guided by the importance indices of different search space is proposed to optimize the parameters of XGBoost.
no code implementations • 19 Jan 2019 • Jing Zhang, Jing Tian, Yang Cao, Yuxiang Yang, Xiaobin Xu
Early recognition of abnormal rhythms in ECG signals is crucial for monitoring and diagnosing patients' cardiac conditions, increasing the success rate of the treatment.
no code implementations • 23 Oct 2016 • Jiawei Zhang, Jianbo Jiao, Mingliang Chen, Liangqiong Qu, Xiaobin Xu, Qingxiong Yang
This paper demonstrates that the performance of the state-of-the art tracking/estimation algorithms can be maintained with most stereo matching algorithms on the proposed benchmark, as long as the hand segmentation is correct.