Zobrazeno 1 - 10
of 4 994
pro vyhledávání: '"BAO Liang"'
Autor:
Bao Liang
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
As people gradually pay attention to sports, it has driven the economic growth of sports consumption. In order to be able to better understand the consumption situation of residents, an Internet-based study of urban residents’ sports consumption de
Externí odkaz:
https://doaj.org/article/b8560ce6b2a7491ebad40f0fc927d785
Publikováno v:
He huaxue yu fangshe huaxue, Vol 44, Iss 6, Pp 610-618 (2022)
The formation of Am(Ⅲ) colloid and its adsorption behaviors on bentonite colloid were investigated in Beishan 03 groundwater. A series of influencing factors, such as, pH, CO2 concentration in gas atmosphere, ionic strength and temperature, on coll
Externí odkaz:
https://doaj.org/article/f49ee73ff6f047f58620a29f5f5f084a
Publikováno v:
网络与信息安全学报, Vol 7, Iss 3, Pp 1-28 (2021)
For the numerous existing adversarial attack and defense methods on GNN, the main adversarial attack and defense algorithms of GNN were reviewed comprehensively, as well as robustness analysis techniques. Besides, the commonly used benchmark datasets
Externí odkaz:
https://doaj.org/article/2929d3705ffe4a6983555f9127bc6dc7
Autor:
Liu, Huan, Yang, Shusen, Zhang, Yuzhe, Wang, Mengze, Gong, Fanyu, Xie, Chengxi, Liu, Guanjian, Liu, Zejun, Liu, Yong-Jin, Lu, Bao-Liang, Zhang, Dalin
EEG-based emotion recognition (EER) has gained significant attention due to its potential for understanding and analyzing human emotions. While recent advancements in deep learning techniques have substantially improved EER, the field lacks a convinc
Externí odkaz:
http://arxiv.org/abs/2410.09767
While electroencephalogram (EEG) based brain-computer interface (BCI) has been widely used for medical diagnosis, health care, and device control, the safety of EEG BCI has long been neglected. In this paper, we propose Professor X, an invisible and
Externí odkaz:
http://arxiv.org/abs/2409.20158
Recent advancements for large-scale pre-training with neural signals such as electroencephalogram (EEG) have shown promising results, significantly boosting the development of brain-computer interfaces (BCIs) and healthcare. However, these pre-traine
Externí odkaz:
http://arxiv.org/abs/2409.00101
Retrosynthesis analysis is pivotal yet challenging in drug discovery and organic chemistry. Despite the proliferation of computational tools over the past decade, AI-based systems often fall short in generalizing across diverse reaction types and exp
Externí odkaz:
http://arxiv.org/abs/2408.10285
Autor:
Dongfang Xiang, Bao Liang, Yongyi Wang, Biao Li, Juan Peng, Sheng Zhang, Bei Chen, Chuandong Yan, Chao Xu
Publikováno v:
Frontiers in Psychiatry, Vol 12 (2021)
Objectives: To explore the influencing factors of residents' psychological status during standardized training in COVID-19 for finding ways to promote their mental health.Methods: A total of 760 residents were surveyed with a structured questionnaire
Externí odkaz:
https://doaj.org/article/cbe06a10476541fdb41c3f3db6e2b702
With the rapid advancement in machine learning, the recognition and analysis of brain activity based on EEG and eye movement signals have attained a high level of sophistication. Utilizing deep learning models for learning EEG and eye movement featur
Externí odkaz:
http://arxiv.org/abs/2407.09508
Publikováno v:
The Twelfth International Conference on Learning Representations, 2024
The current electroencephalogram (EEG) based deep learning models are typically designed for specific datasets and applications in brain-computer interaction (BCI), limiting the scale of the models and thus diminishing their perceptual capabilities a
Externí odkaz:
http://arxiv.org/abs/2405.18765