The operating environment of photovoltaic (PV) power plants is complex and continuously affected by dust soiling, particularly in arid and semi-arid regions of northwest China. Dust accumulation can reduce PV system e...
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Diffusion models have revolutionized customized text-to-image generation, allowing for efficient synthesis of photos from personal data with textual descriptions. However, these advancements bring forth risks includin...
Integrating deep learning with computer vision technologies and analysing their application efficiency is the main emphasis of this research. Building hierarchical neural networks, a key component of deep learning, al...
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As recommender systems have become increasingly popular in providing users with personalized recommendations, researchers have implemented protective measures to safeguard users' privacy. However, the implementati...
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ISBN:
(数字)9789819708116
ISBN:
(纸本)9789819708109;9789819708116
As recommender systems have become increasingly popular in providing users with personalized recommendations, researchers have implemented protective measures to safeguard users' privacy. However, the implementation of such mechanisms is extremely difficult to ensure both recommendation accuracy and privacy protection. In this paper, we propose a novel protective mechanism that addresses this challenge. Our approach introduces the concept of differential trust, which integrates matrix factorization and the combination theorem of differential privacy. We then propose the Gaussian Differential Trust Mechanism, which protects users' historical ratings while maintaining recommendation accuracy to a certain extent. The rationality of our proposed mechanism is verified by theoretical explanation and experimental evaluation. The experiment results demonstrate that our method effectively balances the competing goals of recommendation accuracy and privacy preservation, providing a solution to the challenges faced by recommender systems.
Uncoupled radar networks offer many desired features such as large virtual apertures and flexibility in sensor placement without costly radio frequency (RF) cables. However, they also introduce novel challenges, espec...
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With the development of artificial intelligence, image recognition technology has been applied to various aspects of life, such as license plate recognition. License plate recognition has many application scenarios in...
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The scientific and methodological foundations for the optimal identification of micro-objects with mechanisms for using information structural components, features, statistical and dynamic characteristics of images ha...
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Real-world databases nowadays are particularly vulnerable to noisy, missing and inconsistent data due to their large size (often several terabytes or so more), as well as the potential that they come from multiple and...
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In recent years, Electroencephalogram (EEG) has gradually become one of the important means of early Parkinson's disease (PD) detection because of its non-invasive and real-time monitoring capability. This paper d...
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To solve the issues of low hiding capacity and poor visual quality in current image hiding methods, this paper proposes a high-capacity image hiding method based on U-shaped Swin Transformer and wavelet transform. The...
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