Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery : Proceedings of the ICNC-FSKD 2022 / edited by Ning Xiong, Maozhen Li, Kenli Li, Zheng Xiao, Longlong Liao, Lipo Wang.

Format:

Book

Author/Creator:

Xiong, Ning, author.

Series:

Lecture Notes on Data Engineering and Communications Technologies, 2367-4520 ; 153

Language:

English

Subjects (All):

Computational intelligence.

Artificial intelligence.

Computational Intelligence.

Artificial Intelligence.

Local Subjects:

Computational Intelligence.

Artificial Intelligence.

Physical Description:

1 online resource (1527 pages)

Edition:

1st ed. 2023.

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2023.

Summary:

This book consists of papers on the recent progresses in the state of the art in natural computation, fuzzy systems, and knowledge discovery. The book is useful for researchers, including professors, graduate students, as well as R & D staff in the industry, with a general interest in natural computation, fuzzy systems, and knowledge discovery. The work printed in this book was presented at the 2022 18th International Conference on Natural Computation, Fuzzy Systems, and Knowledge Discovery (ICNC-FSKD 2022), held from 30 July to 1 August 2022, in Fuzhou, China. All papers were rigorously peer-reviewed by experts in the areas.

Contents:

Multiple Layers Global Average Pooling Fusion

Han Dynasty Clothing Image Classification Model Based on KNN-Attention and CNN

Self-attention SSD Network Detection Method of X-ray Security Images

Cross Architecture Function Similarity Detection with Binary Lifting and Neural Metric Learning

Pain Expression Recognition Based on Dual-channel Convolutional Neural Network

A Noval Air Quality Index Prediction Scheme Based On Long Short-Term Memory Technology

Code Summarization through Learning Linearized AST Paths with Transformer

Function Level Cross-Modal Code Similarity Detection with Jointly Trained Deep Encoders

Ease Solidity Smart Contract Compilation through Version Pragma Identification

Towards Robust Similarity Detection of Smart Contracts with Masked Language Modelling

DeSG: Towards Generating Valid Solidity Smart Contracts with Deep Learning

Combining AST Segmentation and Deep Semantic Extraction for Function Level Vulnerability Detection

A Novel Variational-Mode-Decomposition-Based Long Short-Term Memory for Foreign Exchange Prediction.

Other Format:

Print version: Xiong, Ning Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery

ISBN:

3-031-20738-6