Search Results - "wavelet"
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Intelligent feature selection for machine learning using the dynamic wavelet fingerprint
Published: Springer, 2020Contents: “…Background and history -- Intelligent structural health monitoring with ultrasonic lamb waves -- Automatic detection of flaws in recorded music -- Pocket depth determination with an ultrasonographic periodontal probe -- Spectral intermezzo: Spirit security systems -- Lamb wave tomographic rays in pipes -- Classification of RFID tags with wavelet fingerprinting -- Pattern classification for interpreting sensor data from a walking-speed robot -- Cranks and charlatans and deepfakes.…”Description: 1 online resource (353 pages)
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Pathological brain detection
Published: Springer, 2018Contents: “…4.7.4 Eigendecomposition-Type Fractional Fourier Transform4.8 Entropy; 4.8.1 Shannon Entropy; 4.8.2 Tsallis Entropy; 4.8.3 Renyi Entropy; 4.9 Conclusion; References; 5 Multi-scale and Multi-resolution Features for Structural Magnetic Resonance Imaging; 5.1 Wavelet Transform; 5.1.1 Development of Signal Processing; 5.1.2 Potential Application to Pathological Brain Detection; 5.2 Continuous Wavelet Transform and Discrete Wavelet Transform; 5.2.1 Mathematical Analysis of a Continuous Wavelet Transform; 5.2.2 Koch Curve Example of the Continuous Wavelet Transform; 5.2.3 Discrete Wavelet Transform.…”Description: 1 online resource.
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Soft computing in machine learning
Published: Springer, 2014Contents: “…Sudden Illumination Change Detection and Image Contrast Enhancement -- Frame concept for generator of electronic educational publications -- Intelligent call triage system with algorithm combining decision-tree and SVM -- Recognition of Rocks at Uranium Deposits by using a Few Methods of Machine Learning -- More Faster Self-Organizing Maps by General Purpose on Graphics Processing Units -- Analysis of Local Concerts using Facebook Adapting the Mathematical Model of Hit Phenomena -- Hands and arms motion estimation of a car driver with depth image sensor by using particle filter -- SNR Improvement of an Optical Wave Microphone Using a Wavelet Network -- Origin of Kanizsa triangle illusion -- LTS-SVMR for Modeling of Nonlinear Systems with Noise and Outliers.…”Description: 1 online resource.
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Machine learning in healthcare informatics
Published: Springer, 2014Contents: “…From the Contents -- Introduction to Machine Learning in Healthcare Informatics -- Wavelet-Based Machine Learning Techniques for ECG Signal Analysis -- Application of Fuzzy Logic Control for Regulation of Glucose Level of Diabetic Patient -- A Study on Machine Learning in EEG Signal Analysis.…”Description: 1 online resource (410 pages) : illustrations.
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Cyber-physical systems : intelligent models and algorithms
Published: Springer, 2022SpringerLink - Click here for accessDescription: 1 online resource (ix, 279 pages) : illustrations (some color).
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Machine learning for cyber security : 5th International Conference, ML4CS 2023, Yanuca Island, Fiji, December 4-6, 2023, Proceedings
Published: Springer, 2024Contents: “…Keystroke Transcription from Acoustic Emanations Using Continuous Wavelet Transform -- Strengthening Cyber Security Education Designing Robust Assessments for Chat GPT Generated Answers -- Pass File Graphical Password Authentication based on File Browsing Records -- On the Role of Similarity in Detecting Masquerading Files -- A Password-based Mutual Authenticated Key Exchange Scheme by Blockchain for WBAN -- Traffic Signal Timing Optimization Based on Intersection Importance in Vehicle Road Collaboration -- A client side watermarking with private class in Federated learning -- Research on Evasion and Detection of Malicious JavaScript Code -- Tackling Non IID for Federated Learning with Components Alignment -- Security on top of Security Detecting Malicious Firewall Policy Changes via K Means Clustering -- Penetrating Machine Learning Servers via Exploiting BMC Vulnerability.…”Description: 1 online resource (xii, 174 pages) : illustrations (some color).
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7
Machine learning techniques for smart city applications : trends and solutions
Published: Springer, 2022Contents: “…Applying Deep Learning to Predict Civic Purpose Development: Within the Smart City Context -- Convolution Neural Network Scheme for Detection of Electricity Theft in Smart Grids -- Helping Hand: A GMM Based Real time Assistive Device for Disabled Using Hand Gestures -- A Review on Hand Gesture and Sign Language Techniques for Hearing Impaired Person -- DriveSense: Adaptive System for Driving Behaviour Analysis and Ranking -- Classification and Tracking of Vehicles Using Videos Captured by Unmanned Aerial Vehicles -- Tracking Everyone and Everything in Smart Cities with an ANN Driven Smart Antenna -- Wavelet based Saliency and Ensemble Classifier for Pedestrian Detection in Infrared Images -- A Survey of Emerging Applications of Machine Learning in the Diagnosis and Management of Sleep Hygiene and Health in the Elderly Population -- Smart City Traffic Patterns Prediction Using Machine Learning.…”Description: 1 online resource (viii, 226 pages) : illustrations (chiefly color).
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Trends in sustainable computing and machine intelligence : proceedings of ICTSM 2023
Published: Springer, 2024Contents: “…-- Enhancement of Physical Layer Security for Relay Aided Multi-Hop Communication using Deep Transfer Learning Technique -- Marine Vessel Trajectory Forecasting using Long-Short-Term Memory Neural Networks Optimized via Modified Metaheuristic Algorithm -- Application of Artificial Intelligence in Virtual Reality -- An Extension Application of 1D Wavelet Denoising Method for Image Denoising -- Improving Navigation Safety by Utilizing Statistical Method of Target Detection on the Background of Atmospheric Precipitation -- Effects of Exogenous Factors and Bayesian-Bandit Hyperparameter Optimization in Traffic Forecast Analysis -- Development of Autoencoder and Variational Autoencoder for Image Recognition using Convolutional Neural Network -- A Semantic Web based Prototype Exercise - Video Game for Children with Anxiety and Juvenile Myoclonic Epilepsy and its Usability Assessment.…”Description: 1 online resource (ix, 478 pages) : illustrations (chiefly color).
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Machine learning for cyber-physical systems : selected papers from the International Conference ML4CPS 2023
Published: Springer, 2024Contents: “…Causal Structure Learning using PCMCI+ and Path Constraints from Wavelet-based Soft Interventions -- Reinforcement Learning from Human Feedback for Cyber-Physical Systems: On the Potential of Self-Supervised Pretraining -- Using ML-based Models in Simulation of CPPSs: A Case Study of Smart Meter Production -- Deploying machine learning in high pressure resin transfer molding and part post processing: a case study -- Development of a Robotic Bin Picking Approach based on Reinforcement Learning -- Control Reconfiguration of CPS via Online Identification using Sparse Regression (SINDYc) -- Using Forest Structures for Passive Automata Learning -- Domain Knowledge Injection Guidance for Predictive Maintenance -- Towards a systematic approach for Prescriptive Analytics use cases in smart factories -- Development of a standardized data acquisition prototype for heterogeneous sensor environments as a basis for ML applications in pultrusion -- A Digital Twin Design for conveyor belts predictive maintenance -- Augmenting explainable data-driven models in energy systems: A Python framework for feature engineering.…”Description: 1 online resource (viii, 129 pages) : illustrations (some color).
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Signal processing driven machine learning techniques for cardiovascular data processing
Published: Academic Press, 2024Contents: “…2.3.2 Multivariate projection-based fixed boundary empirical wavelet transform (MPFBEWT) -- 2.3.3 Deep convolutional neural network (CNN) -- 2.4 Results and discussion -- 2.5 Conclusion and summary -- References -- 3 Ramanujan filter bank-domain deep CNN for detection of atrial fibrillation using 12-lead ECG -- 3.1 Introduction -- 3.2 12-lead ECG database -- 3.3 Proposed approach -- 3.3.1 Time-period representation of ECG -- 3.3.2 Development of TPR-domain deep CNN -- 3.4 Results and discussion -- 3.5 Conclusion -- References.…”Description: 1 online resource.
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Data analysis for direct numerical simulations of turbulent combustion : from equation-based analysis to machine learning
Published: Springer, 2020Contents: “…Partial A-Posteriori LES of DNS Data of Turbulent Combustion -- Application of the Optimal Estimator Analysis to Turbulent Combustion Modeling -- Reduced Order Modeling of Rocket Combustion Flows -- Dynamic Mode Decompositions: A Tool to Extract Structure Hidden in Massive Dataset -- Analysis of Combustion-Modes Through Structural and Dynamic Technique -- Analysis of the Impact of Combustion On Turbulence: Triadic Analysis, Wavelets, Structure Functions, Spectra -- Analysis of Flame Topology and Burning Rates -- Dissipation Element Analysis of Turbulent Combustion -- Higher Order Tensors for DNS Data Analysis and Compression -- Covariant Lyapunov Vector Analysis of Turbulent Reacting Flows -- CEMA Analysis Applied to DNS Data -- Combined Computational Singular Perturbation-Tangential Stretching Rate Diagnostics of Large -- Scale Simulations of Reactive Turbulent Flows: Feature Tracking, Time Scale Characterization, and Cause/Effect Identification -- Genetic Algorithms Applied to LES Model Development -- Sub-grid Scale Signal Reconstruction: From Discrete and Iterative Deconvolution Operators to Convolutional Neural Networks -- Machine Learning for Combustion Rate Shaping -- Machine Learning of Combustion LES Models from DNS -- Developing Artificial Neural Networks Based Models for Complex Turbulent Flow by Utilizing DNS Database.…”Description: 1 online resource.
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Advances in non-invasive biomedical signal sensing and processing with machine learning
Published: Springer, 2023Contents: “…Advances in the analysis of electrocardiogram in context of mass screening: technological trends and application of artificial intelligence anomaly detection -- 6. Application of Wavelet Decomposition and Machine Learning for the sEMG Signal based Gesture Recognition -- 7. …”Description: 1 online resource (xvii, 373 pages) : illustrations (some color)
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Machine learning for cyber security : second International Conference, ML4CS 2019, Xi'an, China, September 19-21, 2019, Proceedings
Published: Springer, 2019Contents: “…Network Data Collection, Fusion, Mining and Analytics for Cyber Security -- Malicious Web Request Detection Using Character-level CNN -- A LBP Texture Analysis Based Liveness Detection for Face Authentication -- A Survey on Deep Learning Techniques for Privacy-Preserving -- Quantifiable Network Security Measurement: A Study Based on an Index System -- CatraDroid: A Call Trace Driven Detection of Malicious Behaiviors in Android Applications -- Password Guessing via Neural Language Modeling -- A Cooperative Placement Method for Machine Learning Workows and Meteorological Big Data Security Protection in Cloud Computing -- A Lightweight Certicateless User Authentication Scheme for the Mobile Environment -- Detection of GPS Spoofing Attack on Unmanned Aerial Vehicle System -- SwipeVLock: A Supervised Unlocking Mechanism Based on Swipe Behavior on Smartphones -- An Enumeration-like Vector Sampling Method for Solving Approximate SVP -- Secure Multiparty Learning from Aggregation of Locally Trained Models -- Data-Driven Android Malware Intelligence: A Survey -- Semantically Secure and Verifiable Multi-keyword Search in Cloud Computing -- Content Recognition of Network Traffic Using Wavelet Transform and CNN -- Compositional Information Flow Verification for Inter Application Communications in Android System -- Sharing Mechanism for Community Cyber Threat Intelligence Based on Multi-Agent System -- A Lightweight Secure IoT Surveillance Framework Based on DCT-DFRT Algorithms -- Interpretable Encrypted Searchable Neural Networks -- Game Theory Based Dynamic Defense Mechanism for SDN -- A Visualization-based Analysis on Classifying Android Malware -- Protecting the Visual Fidelity of Machine Learning Datasets Using QR Codes -- Reinforcement Learning Based UAV Trajectory and Power Control Against Jamming -- A fair and efficient secret sharing scheme based on cloud assisting -- Secure and Fast Decision Tree Evaluation on Outsourced Cloud Data -- Who Activated My Voice Assistant? …”Description: 1 online resource (xiii, 398 pages) : illustrations (some color).
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Cognition and recognition : 8th International Conference, ICCR 2021, Mandya, India, December 30-31, 2021, revised selected papers
Published: Springer, 2023Contents: “…. -- HWCD: A Hybrid Approach for Image Compression Using Wavelet, Encryption Using Confusion And Decryption Using Diffusion Scheme -- Hybrid deep learning models for improving stock index prediction -- Nuclei Segmentation of Microscopic Images from Multiple Organs using Deep Learning -- Online Shopping Fake Reviews Detection using Machine Learning -- Performing Software Defect Prediction using Deep Learning -- Real-Time Phishing Detection using Statistic Database check, DNS and who is check, verifying ASCII content of the URL and Visual similarity -- Residual Learning based Approach for Multi-class Classification of Skin Lesion using Deep Convolutional Neural Network -- Selected Deep Features and Multiclass SVM for Flower Image Classification -- Self-embedding and variable authentication approach for fragile image watermarking using SVD and DCT -- Semantic Segmentation of Kidney and Tumors using LinkNet Models -- Structural Health Monitoring of Water Pipes -- Telugu OCR Framework using a HMM and Transfer Learning Approach -- Temporal Anomaly Forged Scene Detection by Referring Video Discontinuity Features.…”Description: 1 online resource (1 volume) : illustrations.
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Machine learning for data science handbook : data mining and knowledge discovery handbook Third edition.
Published: Springer, 2023Contents: “…Introduction to Knowledge Discovery and Data Mining -- Preprocessing Methods -- Data Cleansing: A Prelude to Knowledge Discovery -- Handling Missing Attribute Values -- Geometric Methods for Feature Extraction and Dimensional Reduction - A Guided Tour -- Dimension Reduction and Feature Selection -- Discretization Methods -- Outlier Detection -- Supervised Methods -- Supervised Learning -- Classification Trees -- Bayesian Networks -- Data Mining within a Regression Framework -- Support Vector Machines -- Rule Induction -- Unsupervised Methods -- A survey of Clustering Algorithms -- Association Rules -- Frequent Set Mining -- Constraint-based Data Mining -- Link Analysis -- Soft Computing Methods -- A Review of Evolutionary Algorithms for Data Mining -- A Review of Reinforcement Learning Methods -- Neural Networks For Data Mining -- Granular Computing and Rough Sets - An Incremental Development -- Pattern Clustering Using a Swarm Intelligence Approach -- Using Fuzzy Logic in Data Mining -- Supporting Methods -- Statistical Methods for Data Mining -- Logics for Data Mining -- Wavelet Methods in Data Mining -- Fractal Mining - Self Similarity-based Clustering and its Applications -- Visual Analysis of Sequences Using Fractal Geometry -- Interestingness Measures - On Determining What Is Interesting -- Quality Assessment Approaches in Data Mining -- Data Mining Model Comparison -- Data Mining Query Languages -- Advanced Methods -- Mining Multi-label Data -- Privacy in Data Mining -- Meta-Learning - Concepts and Techniques -- Bias vs Variance Decomposition for Regression and Classification -- Mining with Rare Cases -- Data Stream Mining -- Mining Concept-Drifting Data Streams -- Mining High-Dimensional Data -- Text Mining and Information Extraction -- Spatial Data Mining -- Spatio-temporal clustering -- Data Mining for Imbalanced Datasets: An Overview -- Relational Data Mining -- Web Mining -- A Review of Web Document Clustering Approaches -- Causal Discovery -- Ensemble Methods in Supervised Learning -- Data Mining using Decomposition Methods -- Information Fusion - Methods and Aggregation Operators -- Parallel and Grid-Based Data Mining Algorithms, Models and Systems for High-Performance KDD -- Collaborative Data Mining -- Organizational Data Mining -- Mining Time Series Data -- Applications -- Multimedia Data Mining -- Data Mining in Medicine -- Learning Information Patterns in Biological Databases - Stochastic Data Mining -- Data Mining for Financial Applications -- Data Mining for Intrusion Detection -- Data Mining for CRM -- Data Mining for Target Marketing -- NHECD - Nano Health and Environmental Commented Database -- Software -- Commercial Data Mining Software -- Weka-A Machine Learning Workbench for Data Mining.…”Description: 1 online resource (890 pages)
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Machine learning in clinical neuroimaging : 6th international workshop, MLCN 2023, held in conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, proceedings
Published: Springer, 2023Contents: “…Machine Learning -- Image-to-Image Translation between Tau Pathology and Neuronal Metabolism PET in Alzheimer Disease with Multi-Domain Contrastive Learning -- Multi-Shell dMRI Estimation from Single-Shell Data via Deep Learning -- A Three-Player GAN for Super-Resolution in Magnetic Resonance Imaging -- Cross-Attention for Improved Motion Correction in Brain PET -- VesselShot: Few-shot learning for cerebral blood vessel segmentation -- WaveSep: A Flexible Wavelet-based Approach for Source Separation in Susceptibility Imaging -- Joint Estimation of Neural Events and Hemodynamic Response Functions from Task fMRI via Convolutional Neural Networks -- Learning Sequential Information in Task-based fMRI for Synthetic Data Augmentation -- Clinical Applications -- Causal Sensitivity Analysis for Hidden Confounding: Modeling the Sex-Specific Role of Diet on the Aging Brain -- MixUp brain-cortical augmentations in self-supervised learning -- Brain age prediction based on head computed tomography segmentation -- Pretraining is All You Need: A Multi-Atlas Enhanced Transformer Framework for Autism Spectrum Disorder Classification -- Copy Number Variation Informs fMRI-based Prediction of Autism Spectrum Disorder -- Deep attention assisted multi-resolution networks for the segmentation of white matter hyperintensities in postmortem MRI scans -- Stroke outcome and evolution prediction from CT brain using a spatiotemporal diffusion autoencoder -- Morphological versus Functional Network Organization: A Comparison Between Structural Covariance Networks and Probabilistic Functional Modes.…”Description: 1 online resource (x, 174 pages) : illustrations (chiefly color).
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Machine learning in medicine
Published: Springer, 2013Contents: “…Introduction to machine learning part two -- Two-stage least squares -- Multiple imputations -- Bhattacharya analysis -- Quality-of-life (QOL) assessments with odds ratios -- Logistic regression for assessing novel diagnostic tests against control -- validating surrogate endpoints -- Two-dimensional clustering -- Multidimensional clustering -- Anomaly detection -- Association rule analysis -- Multidimensional scaling -- Correspondence analysis -- Multivariate analysis of time series -- Support vector machines -- Bayesian networks -- Protein and DNA sequence mining -- Continuous sequential techniques -- Discrete wavelet analysis -- Machine learning and common sense.…”Description: 1 online resource (3 volumes) : illustrations.
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Temporal Data Mining via Unsupervised Ensemble Learning
Published: Elsevier Science, 2016Contents: “…Front Cover -- Temporal Data Mining via Unsupervised Ensemble Learning -- Temporal Data Mining via Unsupervised Ensemble Learning -- Copyright -- Contents -- List of Figures -- List of Tables -- Acknowledgments -- 1 -- Introduction -- 1.1 BACKGROUND -- 1.2 PROBLEM STATEMENT -- 1.3 OBJECTIVE OF BOOK -- 1.4 OVERVIEW OF BOOK -- 2 -- Temporal Data Mining -- 2.1 INTRODUCTION -- 2.2 REPRESENTATIONS OF TEMPORAL DATA -- 2.2.1 TIME DOMAIN-BASED REPRESENTATIONS -- 2.2.2 TRANSFORMATION-BASED REPRESENTATIONS -- Piecewise Local Statistics -- Piecewise Discrete Wavelet Transforms -- Polynomial Curve Fitting -- Discrete Fourier Transforms -- 2.2.3 GENERATIVE MODEL-BASED REPRESENTATIONS -- 2.3 SIMILARITY MEASURES -- 2.3.1 SIMILARITY IN TIME -- 2.3.2 SIMILARITY IN SHAPE -- 2.3.3 SIMILARITY IN CHANGE -- 2.4 MINING TASKS -- 2.5 SUMMARY -- 3 -- Temporal Data Clustering -- 3.1 INTRODUCTION -- 3.2 OVERVIEW OF CLUSTERING ALGORITHMS -- 3.2.1 PARTITIONAL CLUSTERING -- K-means -- Hidden Markov Model-Based K-Models Clustering -- 3.2.2 HIERARCHICAL CLUSTERING -- Single Linkage -- Complete Linkage -- Average Linkage -- HMM-Based Agglomerative Clustering -- HMM-Based Divisive Clustering -- 3.2.3 DENSITY-BASED CLUSTERING -- Density-Based Spatial Clustering of Applications with Noise -- 3.2.4 MODEL-BASED CLUSTERING -- EM Algorithm -- HMM-Based Hybrid Partitional-Hierarchical Clustering -- HMM-Based Hierarchical Metaclustering -- 3.3 CLUSTERING VALIDATION -- 3.3.1 CLASSIFICATION ACCURACY -- 3.3.2 ADJUSTED RAND INDEX -- 3.3.3 JACCARD INDEX -- 3.3.4 MODIFIED HUBERT'S D INDEX -- 3.3.5 DUNN'S VALIDITY INDEX -- 3.3.6 DAVIES-BOULDIN VALIDITY INDEX -- 3.3.7 NORMALIZED MUTUAL INFORMATION -- 3.4 SUMMARY -- 4 -- Ensemble Learning -- 4.1 INTRODUCTION -- 4.2 ENSEMBLE LEARNING ALGORITHMS -- Bagging -- Boosting -- 4.3 COMBINING METHODS -- Linear Combiner -- Product Combiner.…”Description: 1 online resource.
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Machine learning in medical imaging : 14th International Workshop, MLMI 2023, held in conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings. Part I
Published: Springer, 2024Contents: “…Structural MRI Harmonization via Disentangled Latent Energy-Based Style Translation -- Cross-Domain Iterative Network for Simultaneous Denoising, Limited-angle Reconstruction, and Attenuation Correction of Cardiac SPECT -- Arbitrary Reduction of MRI Inter-slice Spacing Using Hierarchical Feature Conditional Diffusion -- Reconstruction of 3D Fetal Brain MRI from 2D Cross-Sectional Acquisitions Using Unsupervised Learning Network -- Robust Unsupervised Super-Resolution of Infant MRI via Dual-Modal Deep Image Prior -- SR4ZCT: Self-supervised Through-plane Resolution Enhancement for CT Images with Arbitrary Resolution and Overlap -- unORANIC: Unsupervised orthogonalization of anatomy and image-characteristic features -- An Investigation of Different Deep Learning Pipelines for GABA-edited MRS Reconstruction -- Towards Abdominal 3-D Scene Rendering from Laparoscopy Surgical Videos using NeRFs -- Brain MRI to PET Synthesis and Amyloid Estimation in Alzheimer's Disease via 3D Multimodal Contrastive GAN -- Accelerated MRI Reconstruction via Dynamic Deformable Alignment based Transformer -- Deformable Cross-Attention Transformer for Medical Image Registration -- Deformable Cross-Attention Transformer for Medical Image Registration -- Implicitly solved regularization for learning-based image registration -- BHSD: A 3D Brain Hemorrhage Segmentation Dataset -- Contrastive Learning-based Breast Tumor Segmentation in DCE-MRI -- FFPN: Fourier Feature Pyramid Network for Ultrasound Image Segmentation -- Mammo-SAM: Adapting Foundation Segment Anything Model for Automatic Breast Mass Segmentation in Whole Mammograms -- Consistent and Accurate Segmentation for Serial Infant Brain MR Images with Registration Assistance -- Unifying and Personalizing Weakly-supervised Federated Medical Image Segmentation via Adaptive Representation and Aggregation -- Unlocking Fine-Grained Details with Wavelet-based High-Frequency Enhancement in Transformers -- Prostate Segmentation Using Multiparametric and Multiplanar Magnetic Resonance Images -- SPPNet: A Single-Point Prompt Network for Nuclei Image Segmentation -- Automated Coarse-to-fine Segmentation of Thoracic Duct using Anatomy Priors and Topology-guided Curved Planar Reformation -- Leveraging Self-Attention Mechanism in Vision Transformers for Unsupervised Segmentation of Optical Coherence Microscopy White Matter Images -- PE-MED: Prompt Enhancement for Interactive Medical Image Segmentation -- A Super Token Vision Transformer and CNN Parallel Branch Network for mCNV Lesion Segmentation in OCT Images -- Boundary-RL: Reinforcement Learning for Weakly-Supervised Prostate Segmentation in TRUS Images -- A Domain-free Semi-supervised Method for Myocardium Segmentation in 2D Echocardiography Sequences -- Self-Training with Domain-mixed Data for Few-Shot Domain Adaptation in Medical Image Segmentation Tasks -- Bridging the Task Barriers: Online Knowledge Distillation Across Tasks for Semi-Supervised Mediastinal Segmentation in CT -- Relational UNet for Image Segmentation -- Interpretability-guided Data Augmentation for Robust Segmentation in Multi-centre Colonoscopy Data -- Improving Automated Prostate Cancer Detection and Classification Accuracy with Multi-Scale Cancer Information -- Skin Lesion Segmentation Improved by Transformer-based Networks with Inter-Scale Dependency Modeling -- MagNET: Modality-Agnostic Network for Brain Tumor Segmentation and Characterization with Missing Modalities -- Unsupervised Anomaly Detection in Medical Images Using Masked Diffusion Model -- IA-GCN: Interpretable Attention based Graph Convolutional Network for Disease Prediction -- Multi-Modal Adapter for Medical Vision-and-Language Learning -- Sector Quantized Multi-modal Guidance for Alzheimer's Disease Diagnosis Based on Feature Imputation -- Finding-Aware Anatomical Tokens for Chest X-Ray Automated Reporting -- Dual-stream model with brain metrics and images for MRI-based fetal brain age estimation -- PECon: Contrastive Pretraining to Enhance Feature Alignment between CT and EHR Data for Improved Pulmonary Embolism Diagnosis -- Exploring the Transfer Learning Capabilities of CLIP in Domain Generalization for Diabetic Retinopathy -- More From Less: Self-Supervised Knowledge Distillation for Routine Histopathology Data -- Tailoring Large Language Models to Radiology: A preliminary approach to LLM adaptation for a highly specialized domain.…”Description: 1 online resource (xxii, 480 pages) : illustrations (some color)
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Machine learning for cyber security : 4th International Conference, ML4CS 2022, Guangzhou, China, December 2-4, 2022, proceedings. Part I
Published: Springer, 2023Contents: “…Traditional Chinese Medicine Health Status Identification with Graph Attention Network -- "Flexible Task Splitting Strategy in Aircraft Maintenance Technician Scheduling Based on Swarm Intelligence" -- Privacy Preserving CSI Fingerprint Device-Free Localization -- A Novel Blockchain-MEC-based Near-domain Medical Resource Sharing Model -- Pairwise Decomposition of Directed Graphic Models for Performing Amortized Approximate Inference -- VDDL: A Deep Learning-based Vulnerability Detection Model for Smart Contracts -- "Robust Remote Sensing Scene Classification with Multi-View Voting and Entropy Ranking" -- Visualized analysis of the emerging trends of automated audio description technology -- Anomaly Detection for Multi-Time Series with Normalizing Flow -- Encrypted Transmission Method of Network Speech Recognition Information Based on Big Data Analysis -- "A Lightweight NFT Auction Protocol for Cross-chain Environment" -- "A Multi-Scale Framework for Out-of-Distribution Detection in Dermoscopic Images" -- Swarm Intelligence for Multi-objective Portfolio Optimization -- Research on Secure Cloud Storage of Regional Economic Data Network Based on Blockchain Technology -- "Data Leakage with Label Reconstruction in Distributed Learning Environments" -- Analysis Method of Abnormal Traffic of Teaching Network in Higher Vocational Massive Open Online Course Based on Deep Convolutional Neural Network -- "Spatio-Temporal Context Modeling for Road Obstacle Detection" -- A Survey of Android Malware Detection Based on Deep Learning -- "Information Encryption Transmission Method of Automobile Communication Network Based on Neural Network" -- Explanation-Guided Minimum Adversarial Attack -- CIFD: A Distance for Complex Intuitionistic Fuzzy Set -- Security Evaluation Method of Distance Education Network Nodes Based on Machine Learning -- "MUEBA:A Multi-Model System for Insider Threat Detection" -- "Bayesian Based Security Detection Method for Vehicle CAN Bus Network" -- "Discrete Wavelet Transform-based CNN for Breast Cancer Classification from Histopathology Images" -- "Machine Learning Based Security Situation Awareness Method for Network Data Transmission Process" -- Multi-objective Hydrologic Cycle Optimization for Integrated Container Terminal Scheduling Problem -- A Method for Residual Network Image Classification with Multi-scale Feature Fusion -- "High Voltage Power Communication Network Security Early Warning and Monitoring System Based on Hmac Algorithm" -- "Large Scale Network Intrusion Detection Model Based on FS Feature Selection" -- "Research on Intelligent Detection Method of Automotive Network Data Security Based on FlexRay/CAN Gateway" -- Adversarial Attack and Defense on Natural Language Processing in Deep Learning: A Survey and Perspective -- A Novel Security Scheme for Mobile Healthcare in Digital Twin -- Construction of Security Risk Prediction Model for Wireless Transmission of Multi Axis NC Machining Data -- Spiking Neural Networks Subject to Adversarial Attacks in Spiking Domain -- Diverse Web APIs Recommendation with Privacy-preservation for Mashup Development -- Network Security Evaluation Method of College Freshmen Career Counseling Service Based on Machine Learning -- FedTD: Efficiently share telemedicine data with federated distillation learning -- Increase channel attention based on Unet++ architecture for medical images -- Distributed Power Load Missing Value Forecasting with Privacy Protection -- Differentially Private Generative Model with Ratio-based Gradient Clipping -- Differential privacy protection algorithm for data clustering center -- Improved Kmeans algorithm based on privacy protection -- Symmetry Structured Analysis Sparse Coding for Key Frame Extraction -- Data Reconstruction from Gradient Updates in Federated Learning -- Natural Backdoor Attacks on Speech Recognition Models -- Boarding Pass Positioning with Jointly Multi-channel Segmentation and Perspective Transformation Correction -- AP-GCL:Adversarial perturbation on graph contrastive learning -- An Overview of Opponent Modeling for Multi-agent Competition -- Adversarial Attack and Defense on Natural Language Processing in Deep Learning: A Survey and Perspective.…”Description: 1 online resource (xxix, 669 pages) : illustrations (chiefly color).
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