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Advances in Computer Recognition, Image Processing and Communications, Selected Papers from CORES 2021 and IP&C 2021
| Advances in Computer Recognition, Image Processing and Communications, Selected Papers from CORES 2021 and IP&C 2021 |
| Autore | Choras Michal |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (268 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
pointer instrumentation
image processing object detection K-fold cross-validation Faster-RCNN vein detection digital image processing correlation displacement measurement semantic segmentation farmland vacancy segmentation strip pooling crop growth assessment encoder-decoder monotone curve tangent circle adjacent circle area of location of the curve contour fingerprinting malware analysis malicious network traffic analysis HTTP protocol analysis pcap file analysis malware tracking malware identification graph theory smart meter smart metering wireless sensor network interpolation tangent line curvature error ellipse B-spline dynamic dedicated path protection generic Dijkstra algorithm elastic optical network modulation constraints ECG signal classification PTB-XL deep learning computer vision adversarial attacks adversarial defences image quality assessment stitched images panoramic images image analysis image entropy NetFlow network intrusion detection network behavior analysis data quality feature selection fronthaul Xhaul DSB-RFoF A-RoF B5G 6G DIPP optical channel selection |
| ISBN | 3-0365-5314-2 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910619471903321 |
Choras Michal
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| MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Progress on Pattern Classification, Image Processing and Communications : Proceedings of the CORES and IP&C Conferences 2023
| Progress on Pattern Classification, Image Processing and Communications : Proceedings of the CORES and IP&C Conferences 2023 |
| Autore | Burduk Robert |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Cham : , : Springer, , 2024 |
| Descrizione fisica | 1 online resource (241 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
ChoraśMichał
KozikRafał KsieniewiczPaweł MarciniakTomasz TrajdosPaweł |
| Collana | Lecture Notes in Networks and Systems Series |
| ISBN | 3-031-41630-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents -- Advanced Data Analysis and Machine Learning -- A Novel Approach of Multi-string Parsing for Syntactic Pattern Recognition -- 1 Introduction -- 2 Methodological Motivation -- 3 Preliminaries -- 4 Multi-string Parsing -- 5 Concluding Remarks -- References -- Hollow n-grams Vectorizer for Natural Language Processing Problems -- 1 Introduction -- 2 Hollow n-grams -- 3 Experiments Design -- 4 Experimental Evaluation -- 4.1 Experiment 1 - Max Features Threshold -- 4.2 Experiment 2 - Different nn values -- 5 Conclusions and Future Works -- References -- A Non-deep Approach to Classifying Movie Genres Based on Multimodal Data -- 1 Introduction -- 2 Related Works -- 3 Data Preprocessing and Extraction -- 4 Experimental Evaluation -- 4.1 Set-Up -- 4.2 Experiment 1 - Classification Comparison for Each Modality Separately -- 4.3 Experiment 2 - Classification Comparison for Multi-modal Data -- 4.4 Experiment 3 - Impact of Preprocessing on Distance-Based Classifiers Performance -- 5 Conclusion -- References -- Incremental Extreme Learning Machine for Binary Data Stream Classification -- 1 Introduction -- 2 Methods -- 3 Evaluation of Data Stream Classifiers -- 3.1 Experimental Setup -- 4 Experimental Evaluation -- 4.1 ELMi Hyperparameters -- 4.2 Comparison of Classifiers -- 5 Conclusions -- References -- Interpreting Intrusions - The Role of Explainability in AI-Based Intrusion Detection Systems -- 1 Introduction, Motivation and Rationale -- 2 Materials and Methods -- 2.1 Advantages and Limitations of xAI Techniques -- 2.2 Overview of xAI Techniques Applicable in Intrusion Detection -- 3 Experimental Setup and Results -- 3.1 xAI Interpretation -- 4 Conclusions -- References -- Real-Time Deformation of Three-Dimensional Volumetric Models Using Mesh Models -- 1 Introduction -- 2 Motivations.
3 Deformation Simulation -- 3.1 Obi Based Simulation -- 3.2 3D Volume Deformation -- 4 Results and Discussion -- References -- Hyperparameters Optimization Using GridSearchCV Method for TinyML Models -- 1 Introduction -- 2 GridSearchCV Method -- 3 TGrid Algorithm -- 4 Experiments -- 5 Conclusions -- References -- Analysis of the Possibility to Employ Relationship Between the Problem Complexity and the Classification Quality as Model Optimization Proxy -- 1 Introduction -- 1.1 Related Works -- 1.2 Contribution -- 2 Purposes of the Experiment -- 2.1 Experiment 1: Single Criterion Optimization -- 2.2 Experiment 2: Dependency Research for Resampling Methods -- 3 Experimental Evaluation -- 3.1 Experiment 1: Single Criterion Optimization -- 3.2 Experiment 2: Dependency Research for Resampling Methods -- 4 Conclusion -- References -- Image Processing -- Deep Learning for Pit Detection in Cherries -- 1 Introduction -- 2 Image Acquisition System -- 3 Datasets -- 4 Image Analysis Method -- 5 Experiments -- 5.1 Polarization Parameters in Classification -- 5.2 Combining Information for Better Prediction -- 6 Summary -- References -- Image Analysis System for Augmented Reality Games -- 1 Introduction -- 2 General Concept -- 2.1 Detection and Tracking Module -- 2.2 Global Re-ID -- 2.3 Action Recognition -- 3 Experiments -- 4 Conclusions -- References -- Coregistration of Selected Sequences in MRI Imaging Based on Edge Analysis of Image Difference -- 1 Introduction -- 2 Materials and Methods -- 2.1 The Dataset -- 2.2 Designed Procedure -- 2.3 Reference Measures of Image Alignment -- 2.4 Results -- 3 Summary -- References -- Actinic Keratosis Prediction Based on Deep Learning Methods -- 1 Introduction -- 1.1 Deep Leaning for AK Classification -- 1.2 Deep Leaning for AK Detection -- 2 Methods -- 2.1 Data Collection -- 2.2 Data Preprocessing and Augmentation. 2.3 Object Detection Model -- 2.4 Performance Metrics -- 2.5 Model Interpretation -- 3 Results -- 4 Discussion -- 5 Conclusion -- References -- A New Assessment of Convolutional Neural Networks for Texture Directionality Detection -- 1 Introduction -- 2 Related Work -- 3 Materials and Methods -- 3.1 Enhanced Training Data -- 3.2 Novel CNN Architectures and Additional Activation Functions -- 4 Results and Discussion -- 5 Conclusions and Future Work -- References -- Knowledge Distillation with Relative Representations for Image Representation Learning -- 1 Introduction -- 2 Related Work -- 3 Background: Relative Representations -- 4 Relative Representation Distillation -- 5 Experiments -- 5.1 Distillation Compared to Training from Scratch -- 5.2 Comparison to Other Relation-Based Distillation Methods -- 5.3 Transfer Learning -- 5.4 Anchor Selection -- 6 Conclusion -- References -- An Approach for CT Image Conversion Using Filtering Based on Quaternion Mathematics -- 1 Introduction -- 2 Related Work -- 3 Background -- 3.1 Bilateral Filter -- 3.2 Quaternion Mathematics -- 4 Quaternion Bilateral Filter (QBF) -- 5 Experimental Results -- 5.1 Evaluation Metrics -- 5.2 Results -- 6 Conclusion -- References -- Exploring Text-Guided Synthetic Distribution Shifts for Robust Image Classification -- 1 Introduction -- 2 Related Work -- 3 Distribution-Shifted Data Generation -- 4 Experiments -- 4.1 Implementation -- 4.2 Measuring Distribution Shift -- 4.3 Probing Adversarial Ability -- 4.4 Use as Training Data -- 5 Conclusion -- References -- Artificial Intelligence: Various Applications and Problems -- Color Tracking Application Using AI-Based Docker Container Scheduling in Fog Computing -- 1 Introduction -- 2 FogBus2 Framework -- 2.1 Multiplatform Support -- 2.2 Containerization Support -- 2.3 Heterogeneous IoT Applications -- 2.4 Distributed Multi-database. 2.5 Integration with Cloud Infrastructure and VPN -- 2.6 Dynamic Scheduling Mechanism and Policy Integration -- 3 Communications Among Components -- 4 Proposed Solution for Container Scheduling in Cloud Computing -- 5 Experimental Results -- 5.1 Developed Edge Computing Network -- 5.2 Experimental Environment -- 5.3 Experimental Results -- 6 Conclusions and Future Actions -- References -- Air Pollution Monitoring and Information Distribution System -- 1 Introduction -- 2 Proposed System -- 2.1 System Structure -- 2.2 Vehicle -- 2.3 Instruments -- 2.4 Results -- 3 Conclusion -- References -- Detection of Conspiracy Theories from Tweets Using NLI-Based Zero Shot Text Classification Models -- 1 Introduction -- 2 Related Works -- 3 Proposed Data Pipeline -- 3.1 Data Collection -- 3.2 Models -- 4 Analysis -- 4.1 Data Analysis -- 4.2 Controversy Analysis -- 4.3 Sentiment Analysis -- 5 Conclusions -- References -- Battery Management System for Polish Hybrid Residential Photovoltaic Power Plants -- 1 Introduction -- 2 Self-consumption Battery Management System -- 3 Time-Based Battery Management System -- 4 Experiments -- 5 Conclusions -- References -- Document Annotation Tool for News Content Analysis -- 1 Introduction -- 2 Proposed Tool for Content Annotation -- 3 Results Analysis -- 4 Conclusions -- References -- Dynamic Time Warping Technique Applied to the User's Intent Recognition for Myoelectric-Based Control of Upper Limb Prosthesis -- 1 Introduction -- 2 Methods -- 3 Experimental Setup -- 4 Results and Discussion -- 4.1 Experiment 1 -- 4.2 Experiment 2 -- 5 Conclusions -- References -- A Hybrid Long Short-Term Memory Network Based on Wind and Rain Sensitive and Its Application to PM2.5 Prediction -- 1 Introduction -- 2 Related Work -- 2.1 Air Pollution Forecasting and Air Pollution Factors -- 2.2 Time Series Problem -- 3 Proposed Approach. 3.1 Overview -- 3.2 Data Preprocessing -- 3.3 Wind-Sensitive LSTM and Rain-Sensitive LSTM -- 4 Experiment and Evaluation -- 4.1 Dataset and Experiment Setup -- 4.2 Evaluation Metric -- 4.3 Compared Models -- 4.4 Evaluation of the Number of Past Time Periods for PM2.5 -- 4.5 Evaluation of All Comparison Models -- References -- Author Index. |
| Record Nr. | UNINA-9910767562003321 |
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Burduk Robert
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| Cham : , : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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