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International Journal of Artificial Intelligence and Machine Learning最新文献

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A Holistic Framework for AI-Driven Cyber Risk Management in IoT Ecosystems 物联网生态系统中人工智能驱动的网络风险管理整体框架
Pub Date : 2024-01-05 DOI: 10.51483/ijaiml.4.1.2024.80-93
Juan Bolanos
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引用次数: 0
Tomato Leaf Classification Using Computer Vision and Deep Learning: Comparing Different EfficientNets 利用计算机视觉和深度学习进行番茄叶分类:比较不同的高效网络
Pub Date : 2024-01-05 DOI: 10.51483/ijaiml.4.1.2024.61-79
Kaan Eroltu
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引用次数: 0
IoT-Based Technologies for Addressing the Unique Healthcare Needs of the Elderly Population 基于物联网的技术满足老年人群独特的医疗保健需求
Pub Date : 2024-01-05 DOI: 10.51483/ijaiml.4.1.2024.94-121
Syed Adnan Ali, Rehan Khan
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引用次数: 2
Machine Learning Algorithms for Survival Analysis: Advantages, Disadvantages, and Examples 生存分析的机器学习算法:优缺点和示例
Pub Date : 2024-01-05 DOI: 10.51483/ijaiml.4.1.2024.10-21
Diego Vallarino
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引用次数: 0
Secure AI Model Sharing: A Cryptographic Approach for Encrypted Model Exchange 安全的人工智能模型共享:加密模型交换的密码学方法
Pub Date : 2024-01-05 DOI: 10.51483/ijaiml.4.1.2024.48-60
Bheema Shanker Neyigapula
The secure exchange of cryptographic keys is crucial for ensuring the conden-tiality and integrity of AI models during sharing and collaboration. This research paper focuses on proposing a secure key exchange approach speci�cally tailored for encrypted model sharing. By addressing the key distribution problem inherent in AI model sharing, this approach establishes a secure and robust mechanism for exchanging cryptographic keys. The paper provides an overview of secure key exchange techniques, including public key cryptography, Die-Hellman key exchange, and elliptic curve cryptography, and discusses their application in the context of AI model sharing. The implementation details and evaluation results demonstrate the effectiveness and security of the proposed secure key exchange approach, offering a reliable solution for ensuring the con�dentiality and integrity of shared AI models.
加密密钥的安全交换对于确保人工智能模型在共享和协作过程中的保密性和完整性至关重要。本研究论文的重点是提出一种专门针对加密模型共享的安全密钥交换方法。通过解决人工智能模型共享中固有的密钥分配问题,该方法建立了一种安全、稳健的加密密钥交换机制。论文概述了安全密钥交换技术,包括公钥密码学、Die-Hellman 密钥交换和椭圆曲线密码学,并讨论了它们在人工智能模型共享中的应用。实现细节和评估结果证明了所提出的安全密钥交换方法的有效性和安全性,为确保共享人工智能模型的保密性和完整性提供了可靠的解决方案。
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引用次数: 0
Potential Role and Challenges of ChatGPT and Similar Generative Artificial Intelligence in Architectural Engineering ChatGPT 和类似的生成式人工智能在建筑工程中的潜在作用和挑战
Pub Date : 2024-01-05 DOI: 10.51483/ijaiml.4.1.2024.22-47
Nitin Rane
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引用次数: 0
The Impact of ChatGPT on Students’ Writing Proficiency in Second Language Acquisition: Students’ Perception and Experiences: A Qualitative Analysis ChatGPT 对学生第二语言习得写作能力的影响:学生的感知与体验:定性分析
Pub Date : 2024-01-05 DOI: 10.51483/ijaiml.4.1.2024.1-9
Jian Zhang, Zain Abbas, Tahir Ali, Qiqi Liu, Yuwei Wang
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引用次数: 0
How to Begin a Lean Journey: A Practical Guide to Using Lean Construction Practices on Projects 如何开始精益之旅:在项目中使用精益建筑实践的实用指南
Pub Date : 2023-01-05 DOI: 10.51483/ijaiml.3.1.2023.1-9
Nwosu Obinnaya Chikezie Victor
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引用次数: 0
An Experimental Case Study on How AI May Improve Communication and Resource Allocation 人工智能如何改善通信和资源分配的实验案例研究
Pub Date : 2023-01-05 DOI: 10.51483/ijaiml.3.1.2023.10-18
Nwosu Obinnaya Chikezie Victor
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引用次数: 0
How Artificial Intelligence Influences Project Management 人工智能如何影响项目管理
Pub Date : 2023-01-05 DOI: 10.51483/ijaiml.3.1.2023.19-34
Nwosu Obinnaya Chikezie Victor
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引用次数: 1
期刊
International Journal of Artificial Intelligence and Machine Learning
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