Search Results - "wavelet"

Intelligent feature selection for machine learning using the dynamic wavelet fingerprint by Hinders, Mark K., 1963-

Contents: “…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.…”
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Pathological brain detection by Wang, Shui-Hua, Zhang, Yu-Dong, Dong, Zhengchao, Phillips, Preetha

Contents: “…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.…”
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Soft computing in machine learning by SpringerLink (Online service)

Contents: “…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.…”
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Machine learning in healthcare informatics by SpringerLink (Online service)

Contents: “…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.…”
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Cyber-physical systems : intelligent models and algorithms by SpringerLink (Online service)

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Machine learning for cyber security : 5th International Conference, ML4CS 2023, Yanuca Island, Fiji, December 4-6, 2023, Proceedings by ML4CS (Conference) Yanuca Island, Fiji), SpringerLink (Online Service)

Contents: “…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.…”
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Machine learning techniques for smart city applications : trends and solutions by SpringerLink (Online service)

Contents: “…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.…”
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Trends in sustainable computing and machine intelligence : proceedings of ICTSM 2023 by International Conference on Trends in Sustainable Computing and Machine Intelligence Bangkok, Thailand, SpringerLink (Online Service)

Contents: “…-- 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.…”
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Machine learning for cyber-physical systems : selected papers from the International Conference ML4CPS 2023 by SpringerLink (Online Service), ML4CPS (Conference)

Contents: “…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.…”
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Signal processing driven machine learning techniques for cardiovascular data processing by ScienceDirect (Online Service)

Contents: “…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.…”
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Data analysis for direct numerical simulations of turbulent combustion : from equation-based analysis to machine learning by SpringerLink (Online service)

Contents: “…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.…”
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Advances in non-invasive biomedical signal sensing and processing with machine learning by SpringerLink (Online service)

Contents: “…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. …”
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Machine learning for cyber security : second International Conference, ML4CS 2019, Xi'an, China, September 19-21, 2019, Proceedings by ML4CS (Conference) Xi'an Shi, China), SpringerLink (Online service)

Contents: “…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? …”
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Cognition and recognition : 8th International Conference, ICCR 2021, Mandya, India, December 30-31, 2021, revised selected papers by SpringerLink (Online service), ICCR (Conference)

Contents: “…. -- 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.…”
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Machine learning for data science handbook : data mining and knowledge discovery handbook Third edition. by SpringerLink (Online service)

Contents: “…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.…”
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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 by MLCN (Workshop) Vancouver, B.C.), SpringerLink (Online service), International Conference on Medical Image Computing and Computer-Assisted Intervention

Contents: “…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.…”
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Machine learning in medicine by Cleophas, Ton J. M., Zwinderman, Aeilko H.

Contents: “…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.…”
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Temporal Data Mining via Unsupervised Ensemble Learning by Yang, Yun (Computer scientist)

Contents: “…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.…”
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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 by MLMI (Workshop) Vancouver, B.C.), SpringerLink (Online Service), International Conference on Medical Image Computing and Computer-Assisted Intervention

Contents: “…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.…”
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Machine learning for cyber security : 4th International Conference, ML4CS 2022, Guangzhou, China, December 2-4, 2022, proceedings. Part I by ML4CS (Conference) Guangzhou, China), SpringerLink (Online service)

Contents: “…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.…”
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