Flat-Feet
发表于 2025-3-25 03:59:53
Deep Neural Network Based on Sparse Auto-Encoder for Road Extractionon, this paper proposes supervised model that combines Convolutional Neural Network (CNN) with Sparse Auto-Encoder (SAE) to cope with the road extraction task. First, the road features are extracted from the amount of non-annotated data using SAE model that aim to train the road features using CNN p
ANNUL
发表于 2025-3-25 09:37:45
DECS: A Decentralized and Efficient Cross-Chain Scheme in IoT Systemt of the Internet of Things (IoT). However, the sheer number and diversity of IoT devices pose significant challenges to the scalability and security of blockchain systems. To address these issues, cross-chain technology has emerged as a promising solution. Nevertheless, existing cross-chain solutio
ILEUM
发表于 2025-3-25 15:17:39
Artificial Intelligence Model Based Security Protection Method for IoT Applications, where it is challenging to protect the privacy of the underlying AI models. In this paper, we propose a security protection RC6-plus algorithm based on cryptography and access control for AI model security in IoT applications. Specifically, the proposed method effectively protects the privacy of c
WAG
发表于 2025-3-25 19:39:26
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装勇敢地做
发表于 2025-3-25 20:36:39
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反叛者
发表于 2025-3-26 04:00:40
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FIG
发表于 2025-3-26 07:34:10
Review of Sleep Monitoring Research Based on Wireless Sensorarized the existing sleep monitoring methods based on WiFi sensors and wireless radar and made a comparison. The conclusion shows that the two kinds of methods have advantages and disadvantages, so the development of complementary methods is very promising for sleep monitoring.
Middle-Ear
发表于 2025-3-26 09:41:15
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毛细血管
发表于 2025-3-26 14:20:22
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diskitis
发表于 2025-3-26 18:22:44
1867-8211 nd Robustness in Heterogeneous Networks, QShine 2023, held in October 2023...The 78 full papers included in these proceedings were carefully reviewed and selected from 200 submissions. They are organized in these topical sections: ..Part I: E-Health networks; transportation networks; reliability a