Zobrazeno 1 - 10
of 1 126
pro vyhledávání: '"Keqin Li"'
Publikováno v:
IET Intelligent Transport Systems, Vol 18, Iss 2, Pp 244-257 (2024)
Abstract For the transport networks only equipped with sparse or isolated detectors, short‐term traffic flow forecasting faces the following problems: (1) there are only temporal information and no spatial information; (2) the noises in the traffic
Externí odkaz:
https://doaj.org/article/c09840587ce343e89951277cd14bba6b
Publikováno v:
Energy Reports, Vol 10, Iss , Pp 1565-1574 (2023)
Vehicle-to-Vehicle (V2V) energy trading has emerged as a promising scheme to relieve the load imposed on the grid without intermediaries. The blockchain has always been regarded as the most potential solution for addressing the security and privacy i
Externí odkaz:
https://doaj.org/article/d6b7d1ab0a9147f5ba0563da7cda8416
Autor:
Yanan Li, Keqin Li, Ting Pan, Qiaobo Xie, Yuyao Cheng, Xinfeng Wu, Rui Xu, Xiaohui Liu, Li Liu, Jiangming Gao, Wenmin Yuan, Xianjun Qu, Shuxiang Cui
Publikováno v:
Acta Pharmaceutica Sinica B, Vol 13, Iss 9, Pp 3744-3755 (2023)
The well-known insulin-like growth factor 1 (IGF1)/IGF-1 receptor (IGF-1R) signaling pathway is overexpressed in many tumors, and is thus an attractive target for cancer treatment. However, results have often been disappointing due to crosstalk with
Externí odkaz:
https://doaj.org/article/36f6f2e940474e3e873761c3a5e4b1a0
Publikováno v:
Future Internet, Vol 16, Iss 7, p 255 (2024)
Connected devices in IoT systems usually have low computing and storage capacity and lack uniform standards and protocols, making them easy targets for cyberattacks. Implementing security measures like cryptographic authentication, access control, an
Externí odkaz:
https://doaj.org/article/f38f0a9fe5be45778a9a5d811599d426
Publikováno v:
Information, Vol 15, Iss 7, p 391 (2024)
Deep neural networks (DNNs) have shown remarkable performance across a wide range of fields, including image recognition, natural language processing, and speech processing. However, recent studies indicate that DNNs are highly vulnerable to well-cra
Externí odkaz:
https://doaj.org/article/e1d6a0c7e7c34a90a9503f2f812f1e1a
Autor:
Yongkang Wu, Xiangtian Meng, Wai-Yin Cheng, Zhichao Yan, Keqin Li, Jian Wang, Tianfang Jiang, Fei Zhou, Ka-Hing Wong, Chunlong Zhong, Yi Dong, Shane Gao
Publikováno v:
Frontiers in Neuroscience, Vol 18 (2024)
Parkinson’s disease (PD) is a progressive neurodegenerative disorder characterized by continuous and selective degeneration or death of dopamine neurons in the midbrain, leading to dysfunction of the nigrostriatal neural circuits. Current clinical
Externí odkaz:
https://doaj.org/article/6573cb6d01ed40aa92f231890072f468
Autor:
Qiaobo Xie, Yanyan Chu, Wenmin Yuan, Yanan Li, Keqin Li, Xinfeng Wu, Xiaohui Liu, Rui Xu, Shuxiang Cui, Xianjun Qu
Publikováno v:
Acta Pharmaceutica Sinica B, Vol 13, Iss 7, Pp 2963-2975 (2023)
Insulin-like growth factor-1 receptor (IGF-1R) has been made an attractive anticancer target due to its overexpression in cancers. However, targeting it has often produced the disappointing results as the role played by cross talk with numerous downs
Externí odkaz:
https://doaj.org/article/ce3407d79cf24a519825f1ecd7849962
Publikováno v:
Engineering, Vol 24, Iss , Pp 126-137 (2023)
Science is entering a new era—the fifth paradigm—that is being heralded as the main character of knowledge integrating into different fields to intelligence-driven work in the computational community based on the omnipresence of machine learning
Externí odkaz:
https://doaj.org/article/a8e06a3ca9d747d4aeb83ee539230d76
Publikováno v:
Sensors, Vol 24, Iss 5, p 1502 (2024)
The primary objective of multi-objective optimization techniques is to identify optimal solutions within the context of conflicting objective functions. While the multi-objective gray wolf optimization (MOGWO) algorithm has been widely adopted for it
Externí odkaz:
https://doaj.org/article/53c6cb5e2835411c923ff7b89cd5d969
Publikováno v:
Future Internet, Vol 16, Iss 1, p 6 (2023)
Massive amounts of data drive the performance of deep learning models, but in practice, data resources are often highly dispersed and bound by data privacy and security concerns, making it difficult for multiple data sources to share their local data
Externí odkaz:
https://doaj.org/article/00313402373a43a487539a5a365b5881