Titlebook: Intelligence Computation and Applications; 14th International S Kangshun Li,Yong Liu Conference proceedings 2024 The Editor(s) (if applicab

PURG

Research and Application of System with Bayberry Blockchain Based on Hyperledger Fabrichain among relevant participants. Then the performance indicators such as query throughput, consensus throughput, consistency throughput, average latency, and fail rate of the bayberry blockchain system were analyzed.

期滿

Human Flow Prediction Model Based on Graph Convolutional Recurrent Neural Networkesidents can reasonably choose to travel. However, these real-time monitoring travel reference indicators do not predict the future, but only respond to the past situation. Therefore, it is necessary to study the prediction of urban crowd flow, and thus become the focus of research..The existing res

美麗的寫

Research on Text Classification Algorithm Based on Deep Learningtext classification is a significant research topic. The use of deep learning models to effectively mine the semantic information of short texts for better text classification results warrants further exploration and research. In this paper, we propose a TextRCNN-ECA model based on the ECA attention

Thyroiditis

MobilenetV2-Based Network for Bamboo Classification with Tri-Classification Dataset and Fog Removal hindered the large-scale promotion of fully automated production equipment. In this paper, a classification recognition network based on MobilenetV2 was proposed to tackle this problem. The materials for the front and back sides of processed bamboo were collected on-site in the factory. The bamboo s

contradict

A Filter Similarity-Based Early Pruning Methods for Compressing CNNsand prune them. However, these methods require a long-term pre-training, which greatly increases the computational cost. Inspired by the early-bird tickets, this paper proposes an early pruning algorithm based on filter similarity. First, the C-SGD optimizer is used in training to move the filter to

Predigest

Visualization of Convolutional Neural Networks Based on Gaussian Models trained model has excellent automatic feature extraction and prediction performance, and can provide users with end-to-end “input-output” form Solution. However, due to distributed feature encoding and increasingly complex model structures, people have never been able to accurately understand the i

compassion

A New Feature Selection Algorithm Based on Adversarial Learning for Solving Classification Problemsonary computation (EC) has shown great potential in solving FS problems. However, most of the existing EC-based FS approaches still face some shortcomings. To address these issues, a novel FS algorithm based on adversarial learning is proposed in this paper. In this work, an inter-population adversa

美麗的寫

洞察力

Research on the Important Role of Computers in the Digital Transformation of the Clothing Industryimpact on the digital transformation of the industry. In recent years, although more and more designers and enterprises have recognized the value of computer applications driven by the digital economy, there are still certain problems in specific applications. This article summarizes the important r

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