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Titlebook: Intelligence Science V; 6th IFIP TC 12 Inter Zhongzhi Shi,Michael Witbrock,Qi Tian Conference proceedings 2025 IFIP International Federatio

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樓主: radionuclides
21#
發(fā)表于 2025-3-25 03:40:09 | 只看該作者
Superpositioner – A Non-logical Computation Modelwe realize that superpositioner may be a way to solve. A superpositioner is a model formed by several Boolean functions that their variables and function values are feeding back to each other. The component of the superpositioner is the reentry function, which can be fully described by classical log
22#
發(fā)表于 2025-3-25 10:44:00 | 只看該作者
23#
發(fā)表于 2025-3-25 15:22:25 | 只看該作者
24#
發(fā)表于 2025-3-25 16:57:41 | 只看該作者
Improve LLM Inference Performance with?Matrix Decomposition Strategiesring the inference stage. This paper introduces a novel compression technique that leverages Singular Value Decomposition (SVD) and Non-negative Matrix Factorization (NMF) within the MLP layers of transformer-based LLMs. By incorporating adaptive batch sizing and various initialization methods, our
25#
發(fā)表于 2025-3-25 20:33:45 | 只看該作者
Trajectory Prediction of?Unmanned Surface Vehicle Based on?Improved Transformern of USV trajectories plays a vital role in the decision-making of coastal defense, anti-privacy, and so on. However, the intricate nature of USV trajectories, characterized by high maneuverability and sudden motion pattern changes, poses great challenges for accurate prediction. To address these is
26#
發(fā)表于 2025-3-26 04:01:39 | 只看該作者
Deep Neural Network Based Relocalization of Mobile Robot in Visual SLAMnomous mobile robots navigating dynamic environments. This paper introduces a deep learning approach that employs Deep Neural Networks (DNNs), particularly VGG16 and ResNet34, to reorient and relocalize robots effectively. Trained on a vast repository of indoor images from the Multimodal Indoor Simu
27#
發(fā)表于 2025-3-26 06:37:40 | 只看該作者
A Vision-Based Method for UAV Autonomous Landing Area Detectionto achieve this objective is a very promising avenue due to their low cost and the potential they provide for performing simultaneous terrain analysis. In this paper, a computer vision method is proposed using an improved U-Net based architecture on UAV imagery to assess the safe landing area. Contr
28#
發(fā)表于 2025-3-26 11:45:43 | 只看該作者
29#
發(fā)表于 2025-3-26 16:40:26 | 只看該作者
Conference proceedings 2025ina, in October 25-28, 2024.?..The?23 full papers and 2 short papers presented here were carefully reviewed and selected from 32 submissions. These papers have been categorized into the following sections:. .Machine Learning; Causal Reasoning; Large Language Model;?Intelligent Robot;?Perceptual Inte
30#
發(fā)表于 2025-3-26 17:39:41 | 只看該作者
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