Zobrazeno 1 - 10
of 143
pro vyhledávání: '"Yuanming Ding"'
Publikováno v:
IEEE Access, Vol 12, Pp 29748-29758 (2024)
This study introduces the application of causal inference algorithms in federated recommender systems through a framework called FedCIRec. The framework utilizes two key causal inference methods: Instrumental Variable (IV) and Counterfactual Inferenc
Externí odkaz:
https://doaj.org/article/f4cb8e95dfce48ed8040713801608bed
Publikováno v:
IEEE Access, Vol 12, Pp 12745-12759 (2024)
Image deblurring is one of the fundamental tasks in image processing tasks, which can provide the necessary support for advanced tasks such as image recognition. In this paper, we propose a new deblurring model, named Efftformer model, which is speci
Externí odkaz:
https://doaj.org/article/d705ccf3dc1b48538d8af70dd474a0e8
Publikováno v:
IEEE Access, Vol 12, Pp 4166-4177 (2024)
Traffic flow prediction is a crucial aspect of Intelligent Transport Systems, offering a scientific foundation for urban transport system management and planning. However, predicting traffic flow becomes challenging due to its susceptibility to diver
Externí odkaz:
https://doaj.org/article/92638cd2846e44a9919989ae09b0f79f
Publikováno v:
Applied Sciences, Vol 14, Iss 11, p 4632 (2024)
With the challenge posed by global warming, accurately estimating and managing carbon emissions becomes a key step for businesses, especially power generation companies, to reduce their environmental impact. Optuna–LightGBM–XGBoost, a novel power
Externí odkaz:
https://doaj.org/article/d516193adffb4561961681d49f2ce63e
Publikováno v:
IEEE Access, Vol 11, Pp 135133-135146 (2023)
Efficient task execution and optimized combat effectiveness can be achieved when a cluster of Unmanned Aerial Vehicles (UAVs) work collaboratively by assigning various tasks to each UAV reasonably. This paper suggests an algorithm for assigning tasks
Externí odkaz:
https://doaj.org/article/650c566244f74276b6f3b57a87ad589b
Publikováno v:
IEEE Access, Vol 11, Pp 88462-88475 (2023)
Due to the development of its own technology, the Unmanned Aerial Vehicle (UAV) play an increasingly important role in today’s social production practice. The complex and changeable environment requires the development of innovative UAV path planni
Externí odkaz:
https://doaj.org/article/eb5edece46e5431088ad191a836540b3
Credit Card Fraud Detection Based on Improved Variational Autoencoder Generative Adversarial Network
Publikováno v:
IEEE Access, Vol 11, Pp 83680-83691 (2023)
The rapid spread of mobile banking and e-commerce has coincided with a dramatic increase in fraudulent online payments in recent years. Although machine learning and deep learning are widely used in credit card fraud detection, the typical credit car
Externí odkaz:
https://doaj.org/article/0631a57b0777428682910b25b16e4b35
Publikováno v:
IEEE Access, Vol 12, Pp 159137-159137 (2024)
Externí odkaz:
https://doaj.org/article/ec213c6dbb2b4316b2e90dcedbb69ccb
Publikováno v:
IEEE Access, Vol 10, Pp 66127-66142 (2022)
Terahertz (THz) frequency band has been widely used in indoor, outdoor and space communications due to its advantage of large available bandwidth. However, limited research has been conducted to apply THz technique in maritime communications as hosti
Externí odkaz:
https://doaj.org/article/31ba2d2e8aed4c44a5c19ab7f9a978a5
Publikováno v:
Sensors, Vol 23, Iss 11, p 5093 (2023)
Since introducing the Transformer model, it has dramatically influenced various fields of machine learning. The field of time series prediction has also been significantly impacted, where Transformer family models have flourished, and many variants h
Externí odkaz:
https://doaj.org/article/4f46d0dbdd2c4b80b3e4ee7c51f617dc