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Titlebook: AI and Multimodal Services– AIMS 2024; 13th International C Xiuqin Pan,Mengxing Huang,Liang-Jie Zhang Conference proceedings 2025 The Edito

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樓主: Jackson
21#
發(fā)表于 2025-3-25 06:57:23 | 只看該作者
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發(fā)表于 2025-3-25 13:56:48 | 只看該作者
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發(fā)表于 2025-3-25 15:55:43 | 只看該作者
XcepSENet: An Intelligent Yoga Pose Classification System Based on Mediapipedataset, the XcepSENet network is compared with three deep learning models—VGG16, InceptionV3, and MobileNetV2—evaluating metrics such as accuracy, precision, recall, and F1 score to draw conclusions, To prove that the model can provide feedback more timely and accurately to achieve higher training
25#
發(fā)表于 2025-3-25 23:16:15 | 只看該作者
26#
發(fā)表于 2025-3-26 00:49:41 | 只看該作者
AI Value Protocol: Utilizing Blockchain to Promote AI AIVPal for significant positive impact. Blockchain technology is employed to securely record the details and assessments of these projects, providing a transparent and tamper-proof history of their development. The second step, AI Verification, focuses on ensuring the reliability, accuracy, and ethical
27#
發(fā)表于 2025-3-26 07:32:46 | 只看該作者
Flood Inundation Range Prediction Method Based on SRR-Informer, the SRR algorithm is used to select the representative locations that are easy to be inundated in the basin, which reduces the number of locations required for spatial modeling of flood inundation range and the corresponding data requirements. The experimental results show that this method can imp
28#
發(fā)表于 2025-3-26 09:48:43 | 只看該作者
Steffen Hillebrecht,Anke-Andrea Peinigerethodology for constructing robust causal model-driven decision frameworks, emphasizing the comprehensive utilization of generative AI to incorporate domain knowledge with causal inferences. Through an in-depth analysis of case studies across multiple domains, this model-driven approach empirically
29#
發(fā)表于 2025-3-26 16:15:56 | 只看該作者
Steffen W. Hillebrecht,Anke-Andrea Peiniger of features and attention enhancement. In addition, we introduce gated cross network instead of FM modules in the feature interaction layer to capture higher-order explicit feature interactions. Comprehensive experimental results on Frappe and Malware datasets demonstrate the effectiveness and supe
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發(fā)表于 2025-3-26 19:06:28 | 只看該作者
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