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Titlebook: Engineering Applications of AI and Swarm Intelligence; Xin-She Yang Book 2025 The Editor(s) (if applicable) and The Author(s), under exclu

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發(fā)表于 2025-3-30 08:31:40 | 只看該作者
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發(fā)表于 2025-3-30 22:08:14 | 只看該作者
Depth Perspective-Aware Multiple Object Tracking,s, especially occlusions. Indeed, we propose a new real-time Depth Perspective-aware Multiple Object Tracking (DP-MOT) approach to tackle the occlusion problem in MOT. A simple yet efficient Subject-Ordered Depth Estimation (SODE) is first proposed to automatically order the depth positions of detec
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發(fā)表于 2025-3-31 04:28:16 | 只看該作者
AI-Driven Predictive Maintenance,perform maintenance at the right time. This method is in contrast to traditional maintenance strategies such as reactive maintenance (repairing machines after they break down) and preventive maintenance (planned maintenance based on the average life of the equipment). AI-driven predictive maintenanc
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發(fā)表于 2025-3-31 15:34:11 | 只看該作者
,Utilizing Cobb-Douglas Production Function in?the?Modeling of?Joint Security and?Quality of Serviceattacks requires stringent security preventions and measures. Consequently, this incur costs in terms of money, time, and energy. In order to address this challenge, we formulate a joint Security-vs-QoS optimization problem for Intrusion detection systems (IDS) in 5G networks. The problem considers
59#
發(fā)表于 2025-3-31 21:01:19 | 只看該作者
,Enhancing Low-Dose SPECT 2D Reconstruction from?One-Dimensional Projections By Using Conditional Gentroduces potential health concerns. The quest for precise low-dose SPECT reconstruction, a linchpin in clinical applications, grapples with the formidable challenges of elevated noise and diminished spatial resolution in reconstructed images. This paper embarks on a journey to revolutionize the qua
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發(fā)表于 2025-4-1 01:10:51 | 只看該作者
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