Zobrazeno 1 - 10
of 1 739
pro vyhledávání: '"MengChu Zhou"'
Publikováno v:
Digital Communications and Networks, Vol 10, Iss 3, Pp 528-545 (2024)
Semantic Communication (SC) has emerged as a novel communication paradigm that provides a receiver with meaningful information extracted from the source to maximize information transmission throughput in wireless networks, beyond the theoretical capa
Externí odkaz:
https://doaj.org/article/f68cc6fd0bdf464fbce50d3b9f60bb3d
Publikováno v:
Sensors, Vol 24, Iss 6, p 1729 (2024)
A dendritic neuron model (DNM) is a deep neural network model with a unique dendritic tree structure and activation function. Effective initialization of its model parameters is crucial for its learning performance. This work proposes a novel initial
Externí odkaz:
https://doaj.org/article/bdaa0fcd46504362a1c9fe1666e87c3b
Publikováno v:
IEEE Access, Vol 8, Pp 95698-95713 (2020)
This paper deals with the scheduling of real-time periodic tasks executed on heterogeneous multicore platforms. Each processor is composed of a set of multi-speed cores with limited energy resources. A reconfigurable system is sensible to unpredictab
Externí odkaz:
https://doaj.org/article/1c648b16bc2e4941b99f6c240920205e
Publikováno v:
IEEE Access, Vol 8, Pp 46480-46492 (2020)
Several semantics models are adopted by time Petri nets for different applications. Yet they have some limitations on schedulability analysis of flexible manufacturing systems. The scheduling scope of a strong semantics model is greatly limited becau
Externí odkaz:
https://doaj.org/article/c396b55db938435c96061d7f6ae36c81
Publikováno v:
IEEE Access, Vol 8, Pp 66448-66455 (2020)
Ocean temperature, salinity, and electric conductivity are essential ocean properties. Their structure and changes directly impact physical, chemical and biological processes in oceans. Since the 1970s, numerous researches have focused on the morphol
Externí odkaz:
https://doaj.org/article/7f74a0dd704f49cd957a888aa6b6cb47
Publikováno v:
Applied Sciences, Vol 13, Iss 1, p 602 (2023)
Multi-task optimization (MTO) is a novel emerging evolutionary computation paradigm. It focuses on solving multiple optimization tasks concurrently while improving optimization performance by utilizing similarities among tasks and historical optimiza
Externí odkaz:
https://doaj.org/article/51b35ae496df4edf8b52cda5234d3a04
Publikováno v:
IEEE Access, Vol 7, Pp 53429-53440 (2019)
Industry 4.0 is widely accepted to guide a novel and promising production paradigm where many advanced intelligent machines and latest technologies are utilized. The self-optimization and self-training behaviors of advanced intelligent machines make
Externí odkaz:
https://doaj.org/article/08c50620cf9c4070ae218046ae11f1a7
Publikováno v:
IEEE Access, Vol 7, Pp 29193-29201 (2019)
Nowadays, Weibo has become a significant and popular information sharing platform in China. Meanwhile, spammer identification has been a big challenge for it. To mitigate the damage caused by spammers, classification algorithms from machine learning
Externí odkaz:
https://doaj.org/article/b89fdeaa8b664c3e96d8cc58e91e9552
Publikováno v:
IEEE Access, Vol 7, Pp 18061-18069 (2019)
Forecasting emergency calls are of great importance in practice. By forecasting the occurrence of unfortunate events, we can learn from these events and further prevent their occurrence in the future. However, because of the uncertainty of event occu
Externí odkaz:
https://doaj.org/article/c7e0b5bf2ceb4d46a5d241dd2169d2e9
Autor:
Remigiusz Wisniewski, Grzegorz Benysek, Luis Gomes, Dariusz Kania, Theodore Simos, Mengchu Zhou
Publikováno v:
IEEE Access, Vol 7, Pp 157688-157692 (2019)
In recent years, there is an increasing synergy between computational technologies and physical components. So-called Cyber-Physical Systems (CPS) are composed of a collection of devices interacting with each other and communicating with the physical
Externí odkaz:
https://doaj.org/article/62358c1539e746d9a14368f5f286aa5a