Applied intelligence Part 1
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...
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| Weitere Verfasser: | , , |
| Format: | UnknownFormat |
| Sprache: | eng |
| Veröffentlicht: |
Singapore
Springer
2024
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| Schriftenreihe: | Communications in computer and information science
2014 |
| Schlagworte: | |
| Online Zugang: | Cover |
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| Zusammenfassung: | 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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| Beschreibung: | Literaturangaben |
| Beschreibung: | xvii, 390 Seiten Illustrationen, Diagramme |
| ISBN: | 9789819709021 978-981-97-0902-1 |