no code implementations • 24 May 2023 • Lucas Giroto de Oliveira, Elizabeth Bekker, Axel Diewald, Benjamin Nuss, Theresa Antes, Yueheng Li, Akanksha Bhutani, Thomas Zwick
Finally, results from proof-of-concept measurements are presented to illustrate the effects of the choice of system and signal parameters and validate the investigated PMCW-based RadCom system and synchronization strategy.
1 code implementation • 5 May 2023 • Chuang Zhu, ShengJie Liu, Zekuan Yu, Feng Xu, Arpit Aggarwal, Germán Corredor, Anant Madabhushi, Qixun Qu, Hongwei Fan, Fangda Li, Yueheng Li, Xianchao Guan, Yongbing Zhang, Vivek Kumar Singh, Farhan Akram, Md. Mostafa Kamal Sarker, Zhongyue Shi, Mulan Jin
For invasive breast cancer, immunohistochemical (IHC) techniques are often used to detect the expression level of human epidermal growth factor receptor-2 (HER2) in breast tissue to formulate a precise treatment plan.
no code implementations • 21 Jul 2022 • Lucas Giroto de Oliveira, Benjamin Nuss, Mohamad Basim Alabd, Axel Diewald, Yueheng Li, Linda Gehre, Xueyun Long, Theresa Antes, Johannes Galinsky, Thomas Zwick
This article investigates the suitability of the aforementioned discrete-Fresnel domain channel estimation in OCDM-based radar systems as an alternative to the correlation-based processing previously adopted, e. g., in the radar-communication (RadCom) literature, which yields high sidelobe level depending on the symbols modulated onto the orthogonal subchirps.
no code implementations • 9 Mar 2021 • Tianhao Zhang, Yueheng Li, Shuai Li, Qiwei Ye, Chen Wang, Guangming Xie
In this paper, the circle formation control problem is addressed for a group of cooperative underactuated fish-like robots involving unknown nonlinear dynamics and disturbances.
no code implementations • 1 Jan 2021 • Yueheng Li, Tianhao Zhang, Chen Wang, Jinan Sun, Shikun Zhang, Guangming Xie
We explore energy-based solutions for cooperative multi-agent reinforcement learning (MARL) using the idea of function factorization in centralized training with decentralized execution (CTDE).
Multi-agent Reinforcement Learning reinforcement-learning +3