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

Colaborador(es): Xiong, Ning [editor.] | Li, Maozhen [editor.] | Li, Kenli [editor.] | Xiao, Zheng [editor.] | Liao, Longlong [editor.] | Wang, Lipo [editor.] | SpringerLink (Online service)Tipo de material: TextoTextoSeries Lecture Notes on Data Engineering and Communications Technologies ; 153Editor: Cham : Springer International Publishing : Imprint: Springer, 2023Edición: 1st ed. 2023Descripción: XXVII, 1508 p. 650 illus., 454 illus. in color. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9783031207389Tema(s): Computational intelligence | Artificial intelligence | Computational Intelligence | Artificial IntelligenceFormatos físicos adicionales: Printed edition:: Sin títuloClasificación CDD: 006.3 Clasificación LoC:Q342Recursos en línea: Libro electrónicoTexto
Contenidos:
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.
En: Springer Nature eBookResumen: 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.
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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.

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.

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