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Applied Intelligence [electronic resource] : First International Conference, ICAI 2023, Nanning, China, December 8-12, 2023, Proceedings, Part I / edited by De-Shuang Huang, Prashan Premaratne, Changan Yuan.

Contributor(s): Huang, De-Shuang [editor.] | Premaratne, Prashan [editor.] | Yuan, Changan [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Communications in Computer and Information Science: 2014Publisher: Singapore : Springer Nature Singapore : Imprint: Springer, 2024Edition: 1st ed. 2024.Description: XVII, 390 p. 183 illus., 115 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9789819709038.Subject(s): Application software | Computer and Information Systems ApplicationsAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 005.3 Online resources: Click here to access online
Contents:
Biomedical Data Modeling and Mining -- Investigation and Analysis of Corneal Morphology in Young Divers -- EEG Channels Selection Based on BiLSTM and NSGAII -- Self-Guided Local Prototype Network for Few-Shot Medical Image Segmentation -- Staphylococcus aureus function proteins classification with time series forest -- Bradyrhizobium Elkanii's Genes Classification with SVM -- Oral lichen planus classification with SEResNet -- Nucleotide sequence classification of Paeonia lactiflora based on feature representation learning -- Semantic Similarity Functions and Their Applications -- A Multi-Scale Spatiotemporal Capsule Network for Epilepsy Seizure Detection -- Improved ConvNeXt facial expression recognition embedded with Attention Mechanism -- A Domain Adaptation Deep Learning Network for EEG-based Motor Imagery Classification -- T-GraphDTA: a drug-target binding affinity prediction framework based on protein pre-training model and hybrid graph neural network -- Imputation of Compound Property Assay Data Using a Gene Expression Programming-based method -- Identification of Parkinson's Disease Associated Genes through Explicable Deep Learning and Bioinformatic -- Enzyme Turnover Number Prediction Based on Protein 3D Structures -- Computer Vision -- Challenges in Realizing Artificial Intelligence Assisted Sign Language Recognition -- Efficient and Accurate Document Parsing and Verification Based on OCR Engine -- Intelligent Comparison of Bidding Documents Based on Algorithmic Analysis and Visualization -- Image Denoising Method with Improved Threshold Function -- FasterPlateNet: A Fast Deep Neural Network for License Plate Detection and Recognition -- An improved Seq-DeepFake detection method -- Multimodal Depression Recognition Using Audio and Visual -- Functional Semantics Analysis in Deep Neural Networks -- FDA-PointNet++: A Point Cloud Classification Model Based on Fused Downsampling Strategy and Attention Module -- Collision detection method based on improved whale optimization algorithm -- AF-FCOS: An Improved Anchor-Free Object Detection Method -- Semi-supervised Clustering Algorithm based on L1 Regularization and Extended Pairwise Constraints -- Automated Text Recognition and Review System for Enhanced Bidding Document Analysis -- Machine Vision-based Defect Classification Algorithm for Rolled Packages -- Deep Learning -- The Rise of AI-Powered Writing: How ChatGPT is Revolutionizing Scientific Communication for Better or for Worse -- A Precise Interictal Epileptiform Discharge (IED) Detection Approach Based on Transformer -- Lightweight Traffic Sign Recognition Model Based on Dynamic Feature Extraction -- DeepSensitive: A Fuzzing Test for Deep Neural Networks with Sensitive Neurons -- IGWO-FNN Based Position Control for Stepper Motor -- Lévy Flight Chaotic Runge Kutta Optimizer for Stock Price Forecasting.
In: Springer Nature eBookSummary: This 2-volume set CCIS 2014 and CCIS 2015 constitutes the post-conference proceedings of the First International Conference on Applied Intelligence, ICAI 2023, held in Nanning, China, December 8-12, 2023. The 64 full papers presented in this proceedings were carefully selected and reviewed from 228 submissions. The papers cover a wide range on theoretical aspects of biomedical data modeling and mining; computer vision; and deep learning. They were organized in topical sections as follows: Part I: Biomedical data modeling and mining; computer vision; deep learning; Part II: Intelligent control and automation; machine learning; natural language processing and computational linguistics.
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Biomedical Data Modeling and Mining -- Investigation and Analysis of Corneal Morphology in Young Divers -- EEG Channels Selection Based on BiLSTM and NSGAII -- Self-Guided Local Prototype Network for Few-Shot Medical Image Segmentation -- Staphylococcus aureus function proteins classification with time series forest -- Bradyrhizobium Elkanii's Genes Classification with SVM -- Oral lichen planus classification with SEResNet -- Nucleotide sequence classification of Paeonia lactiflora based on feature representation learning -- Semantic Similarity Functions and Their Applications -- A Multi-Scale Spatiotemporal Capsule Network for Epilepsy Seizure Detection -- Improved ConvNeXt facial expression recognition embedded with Attention Mechanism -- A Domain Adaptation Deep Learning Network for EEG-based Motor Imagery Classification -- T-GraphDTA: a drug-target binding affinity prediction framework based on protein pre-training model and hybrid graph neural network -- Imputation of Compound Property Assay Data Using a Gene Expression Programming-based method -- Identification of Parkinson's Disease Associated Genes through Explicable Deep Learning and Bioinformatic -- Enzyme Turnover Number Prediction Based on Protein 3D Structures -- Computer Vision -- Challenges in Realizing Artificial Intelligence Assisted Sign Language Recognition -- Efficient and Accurate Document Parsing and Verification Based on OCR Engine -- Intelligent Comparison of Bidding Documents Based on Algorithmic Analysis and Visualization -- Image Denoising Method with Improved Threshold Function -- FasterPlateNet: A Fast Deep Neural Network for License Plate Detection and Recognition -- An improved Seq-DeepFake detection method -- Multimodal Depression Recognition Using Audio and Visual -- Functional Semantics Analysis in Deep Neural Networks -- FDA-PointNet++: A Point Cloud Classification Model Based on Fused Downsampling Strategy and Attention Module -- Collision detection method based on improved whale optimization algorithm -- AF-FCOS: An Improved Anchor-Free Object Detection Method -- Semi-supervised Clustering Algorithm based on L1 Regularization and Extended Pairwise Constraints -- Automated Text Recognition and Review System for Enhanced Bidding Document Analysis -- Machine Vision-based Defect Classification Algorithm for Rolled Packages -- Deep Learning -- The Rise of AI-Powered Writing: How ChatGPT is Revolutionizing Scientific Communication for Better or for Worse -- A Precise Interictal Epileptiform Discharge (IED) Detection Approach Based on Transformer -- Lightweight Traffic Sign Recognition Model Based on Dynamic Feature Extraction -- DeepSensitive: A Fuzzing Test for Deep Neural Networks with Sensitive Neurons -- IGWO-FNN Based Position Control for Stepper Motor -- Lévy Flight Chaotic Runge Kutta Optimizer for Stock Price Forecasting.

This 2-volume set CCIS 2014 and CCIS 2015 constitutes the post-conference proceedings of the First International Conference on Applied Intelligence, ICAI 2023, held in Nanning, China, December 8-12, 2023. The 64 full papers presented in this proceedings were carefully selected and reviewed from 228 submissions. The papers cover a wide range on theoretical aspects of biomedical data modeling and mining; computer vision; and deep learning. They were organized in topical sections as follows: Part I: Biomedical data modeling and mining; computer vision; deep learning; Part II: Intelligent control and automation; machine learning; natural language processing and computational linguistics.

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