Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Wuman Luo"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract The 3D bin packing problem is a challenging combinatorial optimization problem with numerous real-world applications. In this paper, we present a novel approach for solving this problem by integrating a generative adversarial network (GAN) w
Externí odkaz:
https://doaj.org/article/a0b7ae9dc88f4bc7a0357ed9704fde02
Publikováno v:
Frontiers in Energy Research, Vol 12 (2024)
In the evolving landscape of the Internet of Things (IoT), Mobile Wireless Sensor Networks (MWSN) play a pivotal role, particularly in dynamic environments requiring mobile sensing capabilities. A primary challenge in MWSNs is achieving accurate node
Externí odkaz:
https://doaj.org/article/de9cd13f479a4402a1028fd95dc1d2e1
Publikováno v:
IEEE Journal of Biomedical and Health Informatics. 27:1558-1568
Publikováno v:
Neural Computing and Applications. 34:14327-14339
Credit risk assessment is at the core of modern economies. Traditionally, it is measured by statistical methods and manual auditing. Recent advances in financial artificial intelligence stemmed from a new wave of machine learning (ML)-driven credit r
Publikováno v:
Journal of Global Information Management. 30:1-20
COVID-19 is a highly contagious virus. Blood test is one of effective methods for COVID-19 diagnosis. However, the issues of blood test are time-consuming and lack of medical staff. In this paper, four deep learning hybrid models are proposed to addr
Publikováno v:
Physics in medicine and biology.
Delineation of brain metastases (BMs) is a paramount step in stereotactic radiosurgery treatment. Clinical practice has specific expectation on BM auto-delineation that the method is supposed to avoid missing of small lesions and yield accurate conto
Publikováno v:
2022 23rd IEEE International Conference on Mobile Data Management (MDM).
Publikováno v:
IoTBDS
Publikováno v:
Wireless Communications and Mobile Computing, Vol 2018 (2018)
The value of large amount of location-based mobile data has received wide attention in many research fields including human behavior analysis, urban transportation planning, and various location-based services. Nowadays, both scientific and industria
Publikováno v:
IEEE BigData
Big trajectory data introduces severe challenges for data storage and communication. In this paper, we propose a novel compression framework called Clockwise Compression Framework (CCF) for big trajectory data compression under road network constrain