1 code implementation • 30 Apr 2024 • Trung Thanh Nguyen, Yasutomo Kawanishi, Takahiro Komamizu, Ichiro Ide
Closed-vocab TAD is typically confined to localizing and classifying actions based on a predefined set of categories.
1 code implementation • 24 Aug 2023 • Mai Peng, Zeneng She, Delaram Yazdani, Danial Yazdani, Wenjian Luo, Changhe Li, Juergen Branke, Trung Thanh Nguyen, Amir H. Gandomi, Yaochu Jin, Xin Yao
In this paper, to assist researchers in performing experiments and comparing their algorithms against several EDOAs, we develop an open-source MATLAB platform for EDOAs, called Evolutionary Dynamic Optimization LABoratory (EDOLAB).
1 code implementation • 2 Sep 2022 • Trung Thanh Nguyen, Hoang Dang Nguyen, Thanh Hung Nguyen, Huy Hieu Pham, Ichiro Ide, Phi Le Nguyen
Medication mistaking is one of the risks that can result in unpredictable consequences for patients.
no code implementations • 4 Aug 2022 • Nang Hung Nguyen, Phi Le Nguyen, Duc Long Nguyen, Trung Thanh Nguyen, Thuy Dung Nguyen, Huy Hieu Pham, Truong Thao Nguyen
The uneven distribution of local data across different edge devices (clients) results in slow model training and accuracy reduction in federated learning.
1 code implementation • 11 Jun 2021 • Danial Yazdani, Michalis Mavrovouniotis, Changhe Li, Wenjian Luo, Mohammad Nabi Omidvar, Amir H. Gandomi, Trung Thanh Nguyen, Juergen Branke, XiaoDong Li, Shengxiang Yang, Xin Yao
This document introduces the Generalized Moving Peaks Benchmark (GMPB), a tool for generating continuous dynamic optimization problem instances that is used for the CEC 2024 Competition on Dynamic Optimization.
no code implementations • 22 Jul 2014 • Truyen Tran, Trung Thanh Nguyen, Hoang Linh Nguyen
This paper studies a class of enhanced diffusion processes in which random walkers perform L\'evy flights and apply it for global optimization.