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pro vyhledávání: '"Pi, Dechang"'
The task of link prediction aims to solve the problem of incomplete knowledge caused by the difficulty of collecting facts from the real world. GCNs-based models are widely applied to solve link prediction problems due to their sophistication, but GC
Externí odkaz:
http://arxiv.org/abs/2209.01350
Social influence prediction has permeated many domains, including marketing, behavior prediction, recommendation systems, and more. However, traditional methods of predicting social influence not only require domain expertise,they also rely on extrac
Externí odkaz:
http://arxiv.org/abs/2207.13016
Working memory (WM), denoting the information temporally stored in the mind, is a fundamental research topic in the field of human cognition. Electroencephalograph (EEG), which can monitor the electrical activity of the brain, has been widely used in
Externí odkaz:
http://arxiv.org/abs/2106.06769
Publikováno v:
In Neurocomputing 28 May 2024 583
Publikováno v:
In Engineering Applications of Artificial Intelligence May 2024 131
Publikováno v:
In Expert Systems With Applications 15 March 2024 238 Part E
Publikováno v:
In Swarm and Evolutionary Computation March 2024 85
Time-delay chaotic systems refer to the hyperchaotic systems with multiple positive Lyapunov exponents. It is characterized by more complex dynamics and a wider range of applications as compared to those non-time-delay chaotic systems. In a three-dim
Externí odkaz:
http://arxiv.org/abs/2103.14591
Autor:
Khan, Izhar Ahmed, Razzak, Imran, Pi, Dechang, Khan, Nasrullah, Hussain, Yasir, Li, Bentian, Kousar, Tanzeela
Publikováno v:
In Information Fusion January 2024 101
Autor:
Khan, Zaheer Ullah, Pi, Dechang, Khan, Izhar Ahmed, Nawaz, Asif, Ahmad, Jamil, Hussain, Mushtaq
Enzymes and proteins are live driven biochemicals, which has a dramatic impact over the environment, in which it is active. So, therefore, it is highly looked-for to build such a robust and highly accurate automatic and computational model to accurat
Externí odkaz:
http://arxiv.org/abs/2101.03126