| |
|
|
|
|
|
|
|
|
1. |
Record Nr. |
UNISA990000215530203316 |
|
|
Autore |
Richter-Gebert, Jürgen |
|
|
Titolo |
Realization spaces of polytopes / Jürgen Richter-Gebert |
|
|
|
|
|
Pubbl/distr/stampa |
|
|
Berlin [etc.] : Springer-Verlag, copyr. 1996 |
|
|
|
|
|
|
|
ISBN |
|
|
|
|
|
|
Descrizione fisica |
|
XI, 187 p. : ill. ; 23 cm |
|
|
|
|
|
|
Collana |
|
Lecture notes in mathematics ; 1643 |
|
|
|
|
|
|
Disciplina |
|
|
|
|
|
|
Collocazione |
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
2. |
Record Nr. |
UNISA996546841603316 |
|
|
Titolo |
Neural information processing : 29th International Conference, ICONIP 2022, virtual event, November 22-26, 2022, proceedings, part VII / / edited by Mohammad Tanveer [and four others] |
|
|
|
|
|
|
|
Pubbl/distr/stampa |
|
|
Singapore : , : Springer, , [2023] |
|
©2023 |
|
|
|
|
|
|
|
|
|
ISBN |
|
|
|
|
|
|
Edizione |
[1st ed. 2023.] |
|
|
|
|
|
Descrizione fisica |
|
1 online resource (XXXV, 569 p. 193 illus., 169 illus. in color.) |
|
|
|
|
|
|
Collana |
|
Communications in Computer and Information Science, , 1865-0937 ; ; 1794 |
|
|
|
|
|
|
|
|
Disciplina |
|
|
|
|
|
|
Soggetti |
|
Neural computers |
Neural networks (Computer science) |
|
|
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
Nota di bibliografia |
|
Includes bibliographical references and index. |
|
|
|
|
|
|
|
|
|
|
Nota di contenuto |
|
Applications II -- An Interpretable Multi-target Regression Method for Hierarchical Load Forecasting -- Automating Patient-Level Lung Cancer Diagnosis in Different Data Regimes -- Multi-level 3DCNN with Min-Max Ranking Loss for Weakly-supervised Video Anomaly Detection -- Automatically Generating Storylines from Microblogging Platforms -- Improving Document Image Understanding with Reinforcement Finetuning -- MSK-Net: Multi-source Knowledge Base Enhanced Networks for Script Event Prediction -- Vision Transformer-based Federated Learning for COVID-19 Detection using Chest X-ray -- HYCEDIS: HYbrid Confidence Engine for Deep Document Intelligence System -- Multi-level Network Based on Text Attention and Pose-guided for Person Re-ID -- Sketch Image Style Transfer based on Sketch Density Controlling -- VAE-AD: Unsupervised Variational Autoencoder for Anomaly Detection in Hyperspectral Images -- DSE-Net: Deep Semantic Enhanced Network for Mobile Tongue Image Segmentation -- Efficient-Nets and their Fuzzy Ensemble: An Approach for Skin Cancer Classification -- A Framework for Software Defect Prediction Using Optimal Hyper-parameters of Deep Neural Network -- Improved Feature Fusion by Branched 1-D CNN for Speech Emotion Recognition -- A Multi-modal Graph Convolutional Network for Predicting Human Breast Cancer Prognosis -- Anomaly detection in surveillance videos using transformer based attention model -- Change Detection in Hyperspectral Images using Deep Feature Extraction and Active Learning -- TeethU2Net: A Deep Learning-Based Approach for Tooth Saliency Detection in Dental Panoramic Radiographs -- The EsnTorch Library: Efficient Implementation of Transformer-Based Echo State Networks -- Wine Characterisation with Spectral Information and Predictive Artificial Intelligence -- MRCE: A Multi-Representation Collaborative Enhancement Model for Aspect-Opinion Pair Extraction -- Diverse and High-Quality Data Augmentation Using GPT for Named Entity Recognition -- Transformer-based Original Content Recovery from Obfuscated PowerShell Scripts -- A Generic Enhancer for Backdoor Attacks on Deep Neural Networks -- Attention Based Twin Convolutional Neural Network with Inception Blocks for Plant Disease Detection using Wavelet Transform -- A Medical Image Steganography Scheme with High Embedding Capacity to Solve Falling-Off Boundary Problem using Pixel Value Difference Method -- Deep Ensemble Architecture: A Region Mapping for Chest Abnormalities -- Privacy-Preserving Federated Learning for Pneumonia Diagnosis -- Towards Automated Segmentation of Human Abdominal Aorta and Its Branches Using a Hybrid Feature Extraction Module with LSTM -- p-LSTM: An explainable LSTM architecture for Glucose Level Prediction -- A Wide Ensemble of Interpretable TSK Fuzzy Classifiers with Application to Smartphone Sensor-based Human Activity Recognition -- Prediction of the Facial Growth Direction: Regression Perspective -- A Methodology for the Prediction of Drug Target Interaction using CDK Descriptors -- PSSM2Vec: A Compact Alignment-Free Embedding Approach for Coronavirus Spike Sequence Classification -- An optimized hybrid solution for IoT based lifestyle disease classification using stress data -- A Deep Concatenated Convolutional Neural Network-based Method to Classify Autism -- Deep Learning-based Human Action Recognition Framework to Assess Children on the Risk of Autism or Developmental Delays -- Dynamic Convolutional Network for Generalizable Face Anti-Spoofing -- Challenges Of Facial Micro-expression Detection and Recognition : A Survey -- Biometric Iris Identifier Recognition With Privacy Preserving Phenomenon: A Federated Learning Approach -- Traffic Flow Forecasting using Attention Enabled Bi-LSTM and GRU Hybrid Model -- Commissioning Random Matrix Theory and Synthetic |
|
|
|
|
|
|
|
|
|
|
|
|
|
Minority Oversampling Technique for Power System Faults Detection and Classification -- Deep reinforcement learning with comprehensive reward for stock trading -- Deep Learning based automobile identification application -- Automatic Firearm Detection in Images and Videos Using YOLO-based Model. |
|
|
|
|
|
|
Sommario/riassunto |
|
The four-volume set CCIS 1791, 1792, 1793 and 1794 constitutes the refereed proceedings of the 29th International Conference on Neural Information Processing, ICONIP 2022, held as a virtual event, November 22–26, 2022. The 213 papers presented in the proceedings set were carefully reviewed and selected from 810 submissions. They were organized in topical sections as follows: Theory and Algorithms; Cognitive Neurosciences; Human Centered Computing; and Applications. The ICONIP conference aims to provide a leading international forum for researchers, scientists, and industry professionals who are working in neuroscience, neural networks, deep learning, and related fields to share their new ideas, progress, and achievements. |
|
|
|
|
|
|
|
|
3. |
Record Nr. |
UNISA996485670403316 |
|
|
Titolo |
Image analysis and processing : ICIAP international workshops, Lecce, Italy, May 23-27, 2022, revised selected papers, Part I. / / edited by Pier Luigi Mazzeo [and three others] |
|
|
|
|
|
|
|
Pubbl/distr/stampa |
|
|
Cham, Switzerland : , : Springer, , [2022] |
|
©2022 |
|
|
|
|
|
|
|
|
|
ISBN |
|
|
|
|
|
|
Descrizione fisica |
|
1 online resource (586 pages) |
|
|
|
|
|
|
Collana |
|
Lecture Notes in Computer Science ; ; v.13373 |
|
|
|
|
|
|
Disciplina |
|
|
|
|
|
|
Soggetti |
|
Image analysis |
Image processing |
|
|
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
Nota di bibliografia |
|
Includes bibliographical references and index. |
|
|
|
|
|
|
Nota di contenuto |
|
Intro -- Preface -- Organization -- Contents - Part I -- Contents - Part II -- GoodBrother Workshop on Visual Intelligence for Active |
|
|
|
|
|
|
|
|
|
and Assisted Living -- Case Study of a Low-Cost IoT Device with a Thermal Vision to Monitor Human Stool Behavior in the Home -- 1 Introduction -- 2 Related Works -- 2.1 Gas and Temperature Monitoring Devices -- 2.2 IoT System in the Context of Monitoring Diseases in AAL -- 3 Approach to Monitor Human Stool Behavior at Home -- 3.1 Database. MongoDB -- 3.2 IoT Platform. Thinger.io -- 4 Case Study -- 5 Limitations of the Study and Future Work -- 6 Conclusions -- References -- Adults' Pain Recognition via Facial Expressions Using CNN-Based AU Detection -- 1 Introduction -- 2 Materials -- 3 Methodology -- 3.1 Face Detection -- 3.2 Analysis of Non-detected Faces -- 4 Results -- 4.1 Benchmark Results -- 4.2 Classification Results -- 5 Conclusions -- References -- In-bed Posture and Night Wandering Monitoring Using Force-Sensing Resistors -- 1 Introduction -- 2 Prototype Description -- 2.1 Force-Sensing Resistors -- 2.2 Sensor Positioning -- 2.3 MCU and Connectivity -- 2.4 Instrumentation for Preliminary Measurements -- 3 Results -- 4 Conclusions and Further Work -- References -- Classifying Sport-Related Human Activity from Thermal Vision Sensors Using CNN and LSTM -- 1 Introduction -- 2 Related Works -- 3 Materials and Methods -- 3.1 IoT Thermal Vision Sensor -- 3.2 Data Collection and Augmentation -- 3.3 DL Model for Learning from Image Sequences -- 4 Case Study -- 4.1 Results -- 5 Conclusions and Ongoing Works -- References -- MIRATAR: A Virtual Caregiver for Active and Healthy Ageing -- 1 Introduction -- 2 MIRATAR Concept and Vision -- 3 The MIRATAR Virtual Caregiver -- 4 Conclusions and Future Work -- References -- From Garment to Skin: The visuAAL Skin Segmentation Dataset -- 1 Introduction. |
2 Skin Detection and Segmentation Datasets -- 3 Approach -- 4 Case Example: The visuAAL Skin Segmentation Dataset -- 4.1 Fashion and Garment Datasets -- 4.2 Dataset Quality Assessment -- 4.3 The visuAAL Skin Segmentation Dataset -- 5 Baseline -- 6 Conclusion -- References -- A Mobile Food Recognition System for Dietary Assessment -- 1 Introduction -- 2 Related Work -- 3 Method -- 3.1 Dataset and Analysis -- 3.2 Learning Model -- 4 Experiments and Results -- 4.1 Experimental Setup -- 4.2 Results -- 5 Conclusion -- References -- Smart Diet Management Through Food Image and Cooking Recipe Analysis -- 1 Introduction -- 2 Objectives -- 3 Related Work -- 4 Methodology -- 4.1 Ingredient Image Classification Model -- 4.2 Recipe Processing Using NLP -- 4.3 Additional Validation -- 5 Results -- 6 Conclusion -- References -- An Approach for Improving the Older people's Perception of Video-Based Applications in AAL Systems - Initial Study -- 1 Introduction -- 2 Method and Devices for Falls Detection -- 3 Results -- 4 Discussion -- 5 Conclusion -- References -- Parts Can Worth Like the Whole - PART 2022 -- Spectral Analysis of Masked Signals in the Context of Image Inpainting -- 1 Introduction -- 2 Use of the Masked Fourier Transform -- 2.1 Average of Squared Differences with masks -- 2.2 Normalized Cross Correlation with Masks -- 3 Inpainting with the Masked Fourier Transform -- 4 Experimental Results -- 5 Conclusion -- References -- Bringing Attention to Image Anomaly Detection -- 1 Introduction -- 2 Related Work -- 3 Methods -- 3.1 Masked Regions Generator -- 3.2 Model -- 4 Experiments -- 4.1 Datasets -- 4.2 Training Setup -- 4.3 Anomaly Localization Process -- 4.4 Metrics -- 4.5 Results -- 5 Conclusions and Future Works -- References -- Workshop on Fine Art Pattern Extraction and Recognition - FAPER. |
Recognizing the Emotions Evoked by Artworks Through Visual Features and Knowledge Graph-Embeddings -- 1 Introduction -- 2 Related Work -- 3 Materials -- 3.1 ArtEmis -- 3.2 ArtGraph -- 3.3 Combining |
|
|
|
|
|
|
|
ArtEmis and ArtGraph -- 4 Methods -- 5 Experiments -- 5.1 Setup -- 5.2 Results -- 6 Conclusion and Future Work -- References -- Classification of Pottery Fragments Described by Concentration of Chemical Elements -- 1 Introduction and Previous Work -- 2 Data Collection -- 3 Statistical Analysis -- 4 Learning Scheme -- 5 Experiments and Results -- 6 Conclusions and Future Work -- References -- Blind Deblurring of Hyperspectral Document Images -- 1 Introduction -- 2 Proposed Method -- 3 Experiments -- 4 Results and Discussion -- 5 Conclusion -- References -- MyBottega: An Environment for the Innovative Production and Distribution of Digital Art -- 1 Introduction -- 1.1 Structure of the Paper -- 2 Web 3.0 and Generative AI: Two Converging Evolutions -- 2.1 Non-fungible Tokens and the New Course in Art Distribution -- 2.2 Generative Artificial Intelligence to Boost Art Production -- 3 Technological Background -- 4 MyBottega: Design Principles -- 5 The MyBottega Architecture -- 6 Conclusion -- References -- A Case Study for the Design and Implementation of Immersive Experiences in Support of Sicilian Cultural Heritage -- 1 Introduction -- 2 Related Works -- 3 The Pipeline -- 4 The Sense of Detail -- 5 Digital Acquisition and Data Processing -- 6 Point Cloud Processing -- 7 Use Case Development -- 8 Conclusions -- References -- Automatic Indexing of Virtual Camera Features from Japanese Anime -- 1 Introduction -- 2 Related Work -- 3 Animated Movie Dataset -- 3.1 A Taxonomy for Virtual Camera Features -- 3.2 Dataset Annotation and Split -- 3.3 Data Augmentation -- 4 Methods -- 4.1 Model Architecture -- 4.2 Hyperparameters and Cross-validation -- 5 Results. |
5.1 Error Analysis -- 6 Conclusion -- References -- Imageability-Based Multi-modal Analysis of Urban Environments for Architects and Artists -- 1 Introduction -- 1.1 The City Image and Imageability -- 1.2 Case Study -- 2 Related Work -- 2.1 Related Visual Analysis Techniques -- 2.2 Related Textual Analysis Techniques -- 3 The Proposed Multi-modal System - Method -- 3.1 Visual Analysis Algorithms -- 4 Experiments and Results -- 4.1 Workshop -- 4.2 Results -- 5 Conclusions -- References -- Challenges in Image Matching for Cultural Heritage: An Overview and Perspective -- 1 Overview -- 1.1 Introduction -- 1.2 Traditional Image Matching -- 1.3 Learning-Based Image Matching -- 2 Analysis and Evaluation -- 2.1 Rationale -- 2.2 Results and Discussion -- 3 Conclusions and Perspective -- References -- Workshop on Intelligent Systems in Human and Artificial Perception - ISHAPE 2022 -- Virtual and Augmented Reality for Quality Control of Aircraft Interiors -- 1 Introduction -- 2 Related Works -- 3 A Brief Introduction to Geometrical and Surface Defects -- 4 Reporting Sub-system -- 5 Results -- 6 Conclusions and Future Work -- References -- Automatic Scoring of Synchronization from Fingers Motion Capture and Music Beats -- 1 Introduction -- 2 Related Works -- 2.1 Musical Rhythmic Features Extraction -- 2.2 Human Movement and MoCap -- 2.3 Audiomotor Synchronization -- 3 Methodology -- 3.1 Motion Parameters -- 3.2 Music Parameters -- 3.3 Similarity and Score of Synchronization -- 4 Experiments -- 4.1 Set-up -- 4.2 Results -- 5 Conclusion -- References -- Performance of Recent Tiny/Small YOLO Versions in the Context of Top-View Fisheye Images -- 1 Introduction and Motivations -- 2 Detection Method -- 2.1 YOLO: An Architecture for Human Detection -- 2.2 Dataset -- 3 Experiments and Evaluations -- 3.1 Evaluation Metrics -- 3.2 Training of the Models. |
3.3 Performance of the Models on Images in a Familiar Context -- 3.4 Performance of the Models on Images in an Unfamiliar Context -- 4 Conclusion -- References -- Cloud-Based Visually Aided Mobile Manipulator Kinematic Parameters Calibration -- 1 Introduction -- 1.1 |
|
|
|
|
|
|
|
|
Contribution -- 2 Problem Formulation -- 3 Background -- 3.1 Unscented Kalman Filter -- 3.2 Probabilistic Pose Composition -- 4 System Architecture and Model Design -- 4.1 System Architecture -- 4.2 Model Design -- 4.3 Methodology -- 5 Experiment -- 5.1 Mobile Manipulator Experiment -- 6 Conclusion and Future Works -- References -- Deep Learning Approaches for Image-Based Detection and Classification of Structural Defects in Bridges -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 3.1 Building the Dataset -- 3.2 Damage Classification -- 3.3 Discussion -- 4 Conclusions and Future Works -- References -- MONstEr: A Deep Learning-Based System for the Automatic Generation of Gaming Assets -- 1 Introduction -- 2 Related Works -- 3 Materials And Methods -- 3.1 GameAssetDataset -- 3.2 Deep Learning Pipeline -- 3.3 3D Asset Generation -- 4 Results and Discussions -- 5 Conclusions and Future Works -- References -- Surface Oxide Detection and Characterization Using Sparse Unmixing on Hyperspectral Images -- 1 Introduction -- 2 Optical Model -- 2.1 Optical Modelization for Oxides -- 3 Sparse Unmixing Approach -- 3.1 Algorithm -- 4 Results and Discussion -- 4.1 Single Oxide Characterization -- 4.2 Multiple Oxides Characterization -- 5 Conclusion -- References -- FakeNED: A Deep Learning Based-System for Fake News Detection from Social Media -- 1 Introduction -- 2 State of Art -- 3 Materials and Methods -- 3.1 FakeNED Multimodal Deep Learning Phase -- 3.2 Fakeddit Dataset -- 4 Results and Discussions -- 4.1 User Service Interaction -- 5 Conclusions and Future Works -- References. |
Artificial Intelligence and Radiomics in Computer-Aided Diagnosis - AIRCAD. |
|
|
|
|
|
| |