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Titlebook: Cognitive Systems and Signal Processing; 5th International Co Fuchun Sun,Huaping Liu,Bin Fang Conference proceedings 2021 Springer Nature S

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Path Planning and Simulation Based on Cumulative Error Estimation the environments. Most of the current methods consider the planning process alone instead of combining the planning results with tracking control, which leads to a significant reduction in the availability of the path, especially in complex scenarios with missing GPS and low positioning sensor accu
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MIMF: Mutual Information-Driven Multimodal Fusionet recognition pattern. Due to the variant weather and road conditions, the real scenes can be far more complicated than those in the training dataset. That constructs a non-ignorable challenge for multimodal fusion models that obey fixed fusion modes, especially for autonomous driving. To address t
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Spatial Information Extraction of , Fields Using Multi-algorithm and Multi-sample Strategy-Based Remhe novel coronavirus patients. Accordingly, in this study, a variety of supervised intelligent algorithms based on multi-algorithm and multi-sample strategy (MAMS) are used to implement spatial distribution information extraction for distinctive landscape types under unique environmental conditions.
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Application of Convolution BLS in AI Face-Changing Problemociety. On special occasions, there is an urgent need for a model that can autonomously determine whether an image has undergone AI face-exchanging processing.Proposed two convolutional structures based on the braod learning system (BLS), and give the specific algorithm flow. Using the convolution m
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Cognitive Calculation Studied for Smart System to Lead Water Resources Managementsources management from an interdisciplinary perspective. The basic method steps are: first, the specific entry point of target management is defined as water resources information management; second, the water resources knowledge management is emphasized, and in particular, the eight kinds of knowl
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Zhixian Yan,Dipanjan Chakrabortycial intelligence. In vision fields, facial expression recognition aims to identify facial expressions through images or videos, but there is rare work towards real-world applications. In this work, we propose a hardware-friendly quantized separable residual network and developed a real-world facial
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Sense Inheritance in English Word-Formation, among EEG electrodes, we propose a multichannel EEG emotion recognition method using convolutional neural network (CNN) with functional connectivity as input. Specifically, the phase synchronization indices are employed to compute the EEG functional connectivity matrices. Then a CNN is proposed to
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