Autore	Hostettler Marco
Edizione	[1st ed. 2024.]
Pubbl/distr/stampa	Cham : , : Springer International Publishing : , : Imprint : Springer, , 2024
Descrizione fisica	1 online resource (233 pages)
Disciplina	900
Altri autori (Persone)	BuhlkeAnja DrummerClara EmmeneggerLea ReichJohannes StäheliCorinne
Soggetto topico	History Archaeology Digital humanities Social sciences - Data processing Digital Humanities Computer Application in Social and Behavioral Sciences
ISBN	3-031-53032-2
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	Part 1. Introduction -- Chapter 1. Editors: 3D-Archaeology and Cultural Heritage: Where are we today? -- Chapter 2. Technological developments -- Chapter 3. 1 Tobias Schreck, Stephan Karl, Elisabeth Trinkl (Graz): Exploring the virtual. Crossmodal search and visual exploration of 3D Cultural Heritage -- Chapter 4. Thomas Reuter (Dresden): Standardization, Data-Management and Scientific Usage of 3D-Data. 15 Years of 3D-Archaeology in the Archaeological Heritage Office of Saxony -- Part 2. Case Studies in Cultural Heritage and Archaeology -- Chapter 5. François Fouriaux (École Française de Rome): Defrag memories: 3D spatial analysis of remains of commemorative gestures in the necropolis of Porta Nocera at Pompeii -- Chapter 6. Vasiliy Kovalev (Novosibirsk): A 3D-approach to Siberian Rock Art Documentation.-Part 3. Current Challenges -- Chapter 7. Marco Hostettler, Anja Buhlke, Clara Drummer, Lea Emmenegger, Johannes Reich, Corinne Stäheli(Bern, Kiel, Berlin): The current application of image-based 3D technologies in archaeology. Results of an online survey -- Chapter 8. Kate Fernie (CARARE/Europeana): 3D content in EUROPEANA: The challenges of providing access -- Chapter 9. Jill Hilditch (Amsterdam): Balancing storage and user functionality: The 3D and archaeological data strategy of the tracing the potter’s wheel project -- Part 4. Data Management -- Chapter 10. Jugoslav Pendic (Novi Sad): Data management and handling of 3D-objects in the post-collection phase -- Chapter 11. Christoph Rummel and Clemens Brünenberg: Bathing in the Pompeian Light - Integrating SFM technology in excavation and standing remains assessment -- Part 5. Conclusion -- Chapter 12. Editors: Conclusion: Where is 3D-Archaeology going?.
Record Nr.	UNINA-9910842600903321

Edizione	[1st ed. 2022.]
Pubbl/distr/stampa	Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2022
Descrizione fisica	1 online resource (406 pages)
Disciplina	929.605
Collana	Communications in Computer and Information Science
Soggetto topico	Computer systems Artificial intelligence Image processing - Digital techniques Computer vision Social sciences - Data processing Application software Education - Data processing Computer System Implementation Artificial Intelligence Computer Imaging, Vision, Pattern Recognition and Graphics Computer Application in Social and Behavioral Sciences Computer and Information Systems Applications Computers and Education
ISBN	3-031-23606-8
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	Foundational Methods Enabling Science in an Integrated Ecosystem -- Computational Workflow for Accelerated Molecular Design Using Quantum Chemical Simulations and Deep Learning Models -- Self-learning Data Foundation for Scientific AI -- Preconditioners for batched iterative linear solvers on GPUs -- Mobility Aware Computation Offloading Model for Edge Computing -- Science and Engineering Applications Requiring and Motivating an Integrated Ecosystem -- Machine Learning for First Principles Calculations of Material Properties for Ferromagnetic Materials -- A Vision for Coupling Operation of US Fusion Facilities with HPC Systems and the Implications for Workflows and Data Management -- At-the-edge Data Processing for Low Latency High Throughput Machine Learning Algorithms -- Implementation of a framework for deploying AI inference engines in FPGAs -- Systems and Software Advances Enabling an Integrated Science and Engineering Ecosystem -- Calvera: A Platform for the Interpretation and Analysis of Neutron Scattering Data -- Virtual Infrastructure Twins: Software Testing Platforms for Computing and Instrument Ecosystems -- The INTERSECT Open Federated Architecture for the Laboratory of the Future -- Real-Time Edge Processing During Data Acquisition -- Towards a Software Development Framework for Interconnected Science Ecosystems -- Deploying Advanced Technologies for an Integrated Science and Engineering Ecosystem -- Adrastea: An Efficient FPGA Design Environment for Heterogenous Scientific Computing and Machine Learning -- Toward an Autonomous Workflow for Bragg Peak Detection at SNS -- Industrial experience deploying heterogeneous platforms for use in multi-modal power systems design workflows -- Self-Describing Digital Assets and their applications in an Integrated Science and Engineering Ecosystem -- Simulation Workflows in Minutes, at Scale for Next-Generation HPC -- Scientific Data Challenges -- Machine Learning approaches to High Throughput Phenotyping -- SMC 2022 Data Challenge: Summit Spelunkers Solution for Challenge 2 -- Usage Pattern Analysis for The Summit Login Nodes -- Finding Hidden Patterns in High Resolution Wind Flow Model Simulations -- Investigating Relationships in Environmental and Community Health: Correlations Of Environment, Urban Morphology, And Socio-Economic Factors In The Los Angeles Metropolitan Statistical Area -- Patterns and Predictions: Generative Adversarial Networks for Neighborhood Generation.
Record Nr.	UNISA-996508666903316

Edizione	[1st ed. 2020.]
Pubbl/distr/stampa	Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Descrizione fisica	1 online resource (XV, 568 p. 305 illus., 231 illus. in color.)
Disciplina	006.37 006.6
Collana	Image Processing, Computer Vision, Pattern Recognition, and Graphics
Soggetto topico	Computer vision Computer engineering Computer networks Application software Machine learning Education - Data processing Social sciences - Data processing Computer Vision Computer Engineering and Networks Computer and Information Systems Applications Machine Learning Computers and Education Computer Application in Social and Behavioral Sciences
ISBN	3-030-40605-9
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	Deep Learning -- Desing data model for Big Data Analysis System -- Deep Learning-based Techniques for Plant Diseases Recognition in Real-Field Scenarios -- EpNet: a Deep Neural Network for Ear Detection in 3D Point Clouds -- Fire Segmentation in Still Images -- Region Proposal Oriented Approach for Domain Adaptive Object Detection -- Deep Convolutional Network-Based Framework for Melanoma Lesion Detection and Segmentation -- A Novel Framework for Early Fire Detection Using Terrestrial and Aerial 360-degree Images -- Biomedical Image Analysis -- Segmentation of Phase-Contrast MR Images for Aortic Pulse Wave Velocity Measurements -- On the Uncertainty of Retinal Artery-vein Classification with Dense Fully-convolutional Neural Networks -- Object Contour Refinement using Instance Segmentation in Dental Images -- Correction of Temperature Estimated from a Low-Cost Handheld Infrared Camera for Clinical Monitoring -- Bayesian Feature Pyramid Networks for Automatic Multi-Label Segmentation of Chest X-rays and Assessment of Cardio-Thoratic -- Deep-Learning for Tidemark Segmentation in Human Osteochondral Tissues Imaged with Micro-computed Tomography -- Quadratic Tensor Anisotropy Measures for Reliable Curvilinear Pattern Detection -- Biometrics and Identification -- Exposing Presentation Attacks by a Combination of Multi-intrinsic Image Properties, Convolutional Networks and Transfer Learning -- Multiview 3D Markerless Human Pose Estimation -- Clip-level Feature Aggregation: A Key Factor for Video-based Person Re-Identification -- Towards Approximating Personality Cues Through Simple Daily Activities -- Person Identification by Walking Gesture using Skeleton Sequences -- Verifying Kinship from RGB-D Face Data -- VA-StarGAN: Continuous Affect Generation -- Fast Iris Segmentation Algorithm for Visible Wavelength Images Based on Multi-Color Space -- A Local Flow Phase Stretch Transform for Robust Retinal Vessel Detection -- Evaluation of Unconditioned Deep Generative Synthesis of Retinal Images -- Image Analysis -- Dynamic Texture Representation Based on Hierarchical Local Patterns -- Temporal-clustering based Technique for Identifying Thermal Regions in Buildings -- Distance Weighted Loss for Forest Trail Detection using Semantic Line -- Localization of Map Changes by Exploiting SLAM Residuals -- Initial Pose Estimation of 3D Object with Severe Occlusion Using Deep Learning -- Automatic Focal Blur Segmentation based on Difference of Blur Feature using Theoretical Thresholding and Graphcuts -- Feature Map Augmentation to Improve Rotation Invariance in Convolutional Neural Networks -- Automatic Optical Inspection for Millimeter Scale Probe Surface Stripping Defects using Convolutional Neural Network -- Image restauration, Compression and Watermarking -- A New SVM-based Zero-watermarking Technique for3D Videos Traitor Tracing -- Design of Perspective Affine Motion Compensation for Versatile Video Coding (VVC) -- Investigation of Coding Standards Performances on Optically Acquired and Synthetic Holograms -- Natural Images Enhancement Using Structure Extraction and Retinex -- Unsupervised Desmoking of Laparoscopy Images using Multi-scale DesmokeNet -- VLW-Net: A Very Light-Weight Convolutional Neural Network (CNN) for Single Image Dehazing -- An Improved GAN Semantic Image Inpainting -- Tracking, Mapping and Scene Analysis -- CUDA Implementation of a Point Cloud Shape Descriptor Method for Archaeological Studies -- Red-Green-Blue Augmented Reality Tags for Retail Stores -- Guided Stereo to Improve Depth Resolution of a Small Baseline Stereo Camera Using an Image Sequence -- SuperNCN: Neighbourhood Consensus Network for Robust Outdoor Scenes Matching -- Using Normal/ Abnormal Video Sequence Categorization to Efficient Facial Expression Recognition in the Wild -- Distributed Multi-Class Road User Tracking in Multi-Camera Network for Smart Traffic Applications -- Vehicles Tracking by combining Convolutional Neural Network based Segmentation and Optical Flow Estimation -- Real Time Embedded Person Detection and Tracking in Camera Streams -- Learning Target-Specific Response Attention for Siamese Network Based Visual Tracking.
Record Nr.	UNINA-9910380758903321

Edizione	[1st ed. 2021.]
Pubbl/distr/stampa	Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2021
Descrizione fisica	1 online resource (698 pages)
Disciplina	004
Collana	Communications in Computer and Information Science
Soggetto topico	Artificial intelligence Computer engineering Computer networks Social sciences - Data processing Education - Data processing Image processing - Digital techniques Computer vision Artificial Intelligence Computer Engineering and Networks Computer Application in Social and Behavioral Sciences Computers and Education Computer Imaging, Vision, Pattern Recognition and Graphics Informàtica
Soggetto genere / forma	Congressos Llibres electrònics
ISBN	981-16-3660-5
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	Intro -- Preface -- Organization -- Contents - Part I -- Contents - Part II -- Computing Methodologies -- Analysis of Developers' Sentiments in Commit Comments -- 1 Introduction -- 2 Related Literature -- 3 Research Methodology -- 3.1 Research Data -- 3.2 Sentiment Analysis -- 4 Results -- 5 Threat to Validity -- 6 Conclusions -- References -- Design of UML Diagrams for Intervention for Autism Children (IAC System) -- 1 Introduction -- 2 Functionalities of the System -- 3 Proposed IAC System -- 3.1 System Architecture -- 3.2 Data Flow Diagram -- 4 UML Diagrams -- 4.1 UML Usecase Diagram -- 4.2 UML Class Diagram -- 4.3 UML Activity Diagram -- 4.4 UML Sequence Diagram -- 4.5 UML Collaboration Diagram -- 4.6 UML State Machine Diagram -- 4.7 UML Component Diagram -- 4.8 UML Deployment Diagram -- 5 Experimental Results -- 6 Conclusion and Future Enhancement -- References -- Data Analysis and Forecasting of COVID-19 Outbreak in India Using ARIMA Model -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Proposed Methodology -- 4 Result Analysıs -- 5 Conclusion -- References -- Analysis Paper on Different Algorithm, Dataset and Devices Used for Fundus Images -- 1 Introduction -- 2 Analysis Color Fundus Images -- 2.1 Image Pre-processing -- 2.2 Dataset -- 2.3 DRISHTI-GS -- 3 Partitioning -- 4 Fundus Photography Sustainability with the Latest Devices in Current Health-Care Also -- 5 Limitations in the Earlier Fundus Camera -- 6 Machine Learning Methods for Vessel Extraction -- 7 Conclusion -- References -- Fuzzy Controller for Indoor Air Quality Control: A Sport Complex Case Study -- 1 Introduction -- 2 Background -- 3 Model -- 4 Fuzzy Controller -- 5 Results -- 6 Conclusion -- References -- Cancer Prediction Using Novel Ranking Algorithms and Machine Learning -- 1 Introduction -- 2 Literature Survey -- 3 Research Methodology. 3.1 Ranking Based Algorithms -- 3.2 MAR (Mean Accuracy Ranking) -- 3.3 CDR (Class Differential Ranking) -- 3.4 PCR (Per Class Ranking) -- 4 Experimentation and Results -- 4.1 Dataset -- 4.2 Evaluation Metrics -- 4.3 Applying Base Classifiers -- 4.4 Applying Ranking Based Algorithms -- 4.5 Final Model -- 4.6 Comparison of Results with Previous Work -- 5 Conclusion -- References -- Supervısed Learnıng Algorıthm: A Survey -- 1 Introduction -- 2 Methodologies Analysis in Supervised Learning -- 2.1 Logistic Regression -- 2.2 Support Vector Classifier -- 2.3 Decision Tree -- 2.4 Random Forest Classifiers -- 3 Related Work -- 4 Chart of References -- 5 Conclusıon and Future Scope -- References -- Searching Sub-classes Within Type Ia Supernova Using DBSCAN -- 1 Introduction -- 2 Data Set -- 3 Methodology -- 3.1 Validity of DBSCAN -- 4 Results -- 5 Conclusions -- 6 Scope of Study -- References -- Abnormality Detection Based on ECG Segmentation -- 1 Introduction -- 2 Literature Review -- 3 Proposed Model -- 3.1 Software Requirements -- 3.2 Our Methodology -- 4 Flowchart of the Proposed Model -- 5 Experiments and Results -- 5.1 Observation Table -- 6 Conclusion -- References -- Detection and Classification of Toxic Comments by Using LSTM and Bi-LSTM Approach -- 1 Introduction -- 2 Literature Review -- 3 Algorithms and Techniques Used -- 3.1 Long Short-Term Memory (LSTM) -- 3.2 Bi-directional Long Short-Term Memory (Bi-LSTM) -- 4 Proposed Methodology -- 4.1 Dataset Description -- 4.2 Data Analysis -- 4.3 Data Pre-processing -- 4.4 Data Conversion to Input Matrix -- 4.5 Build LSTM and Bi-LSTM Model -- 5 Experimental Results and Analysis -- 6 Conclusion and Future Scope -- References -- On the Effects of Substitution Matrix Choices for Pairwise Gapped Global Sequence Alignment of DNA Nucleotides -- 1 Background -- 2 Methods -- 3 Results and Discussion. 4 Conclusion and Future Work -- References -- Case Based Reasoning Approaches for Reuse and Adaptation in Community Question Answering System -- 1 Introduction -- 2 Research Perspective -- 2.1 CQA Approach -- 2.2 Case Based Analysis for Reuse of Information -- 2.3 Textual Comparison Systems -- 2.4 Graphical Textual Likeliness Approach -- 2.5 Bayesian System for Query-Responses -- 3 Experimentation and Methodology -- 3.1 Graphical Configuration -- 3.2 Initial Processing -- 3.3 Similarity Methods -- 3.4 Reuse and Adaptation -- 4 Assessment -- 4.1 Characteristics and Threshold Limits -- 4.2 Association with Human Assessment -- 4.3 Recall and Precision -- 5 Discussion -- 6 Conclusions -- References -- Depression Detection During the Covid 19 Pandemic by Machine Learning Techniques -- 1 Introduction -- 2 Related Work -- 3 Proposed Methodology -- 4 Result Analysis from Literature Survey -- 5 Limitation -- 6 Conclusion and Future Work -- References -- Mucus Plug Blockage Detection in COVID-19 Patient's Chest X-Ray Using Instance Segmentation -- 1 Introduction -- 2 Literature Survey -- 3 Proposed Methodology and Result Analysis -- 4 Conclusion -- References -- Applying Machine Learning to Detect Depression-Related Texts on Social Networks -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 3.1 Data Collection and Analysis -- 3.2 Tools -- 4 Data Exploration -- 5 Experiment Results -- 6 Conclusion and Future Work -- References -- Usability Improvements in E-Governance Applications with Simple and Usable Interface (Design Stage) -- 1 Introduction -- 2 Literature Survey -- 3 Proposed Methodology -- 3.1 Proposed Tools and Technique -- 3.2 Proposed Data -- 4 Result and Discussion -- 5 Conclusion and Future Scope -- 5.1 Future Scope for Researchers -- 5.2 Future Scope for Public Administrator -- References. PGF Cyberpolicing to Defuse Fake Government of Telangana (FGoT), Fake Government of India (FGoI) and Cybercriminal Legacy -- 1 Introduction -- 2 What Is Fake Government of India - The First FGIIH? -- 3 PGF's AI Solution Approach to CSFGoT -- 4 Disaster Management of Big Data Crimes -- 4.1 The Corona Menace vis-a-vis the FGoT/FGoI Menace -- 5 Cognitive Visuals of Cyberpolicing R& -- D Chief's PGF Organizational Efforts for Adaptive Academic Management: Google Plus Social Network Account, Kcraiah's Snapshots -- 6 Conclusions -- References -- Energy Consumption Analysis of R-Based Machine Learning Algorithms for Pandemic Predictions -- 1 Introduction -- 2 Related Work -- 3 Energy Analysis - An Extended Version -- 4 COVID-19 and ML Algorithms -- 4.1 RandomForest - A Brief -- 4.2 COVID-19 Predictions -- 4.3 Popular Packages -- 5 Experimental Results -- 5.1 Validation Analysis -- 5.2 Prediction Analysis -- 5.3 Energy Consumption Analysis -- 6 Conclusion -- References -- Performance Analysis of Deep Learning Classification for Agriculture Applications Using Sentinel-2 Data -- 1 Introduction -- 2 Study Area and Satellite Dataset -- 3 Methodology -- 3.1 Preprocessing -- 3.2 Deep Learning Process -- 3.3 Classification -- 4 Experimental Analysis -- 5 Conclusion -- References -- Smart Approach for Identification of Pneumonia Using Real-Time Convolutional Neural Networks -- 1 Introduction -- 2 Literature Review -- 3 System Blueprint -- 3.1 Processing System -- 3.2 Setting up System for Use -- 3.3 Anaconda IDE and Jupyter Notebook -- 3.4 Project Environment -- 3.5 Proposed Model -- 3.6 Modeling -- 3.7 Training -- 4 Experimental Results and Outcomes -- 4.1 Data Enrichment -- 4.2 Performance Measures -- 5 Experimental Results -- 5.1 Results -- 5.2 Accuracy and Loss of Proposed Model -- 6 Conclusion and Future Scopes -- References. A Comparative Study of Deep Learning Techniques for Emotion Estimation Based on E-Learning Through Cognitive State Analysis -- 1 Introduction -- 1.1 Emotion Identification with Facial Expressions -- 1.2 Facial Expression Analysis in E-Learning Systems -- 1.3 Introduction to Cognitive State Analysis in Education -- 2 Related Work -- 3 Comparison Among Various Methods -- 4 Result Analysis from Literature Review -- 5 Conclusion -- References -- Detection of Epileptic Seizures in Long-Term Human EEG by Improved Linear Discriminant Analysis (ILDA) -- 1 Introduction -- 2 Literature Survey -- 3 Methodology -- 4 Convolutional Neural Networks -- 4.1 Linear Discriminant Analysis -- 5 Results -- 5.1 Performance Analysis -- 6 Conclusion -- References -- Facial Emotional Recognition Using Legion Kernel Convolutional Neural Networks -- 1 Introduction -- 2 Method -- 2.1 Model Architecture -- 2.2 Dataset Training Flowchart -- 2.3 Output Data Flowchart -- 3 Experiment and Results -- 3.1 Procedure -- 3.2 Results -- 4 Advantages and Disadvantages -- 4.1 Advantages -- 4.2 Disadvantages -- 5 Conclusion -- References -- An Attention Based Automatic Image Description Generation -- 1 Introduction -- 2 Related Work -- 3 Proposed Work -- 3.1 Architecture -- 4 Training Process -- 5 Experiments Conduction and Result Analysis -- 5.1 Data set -- 5.2 Visualizations from Our Attention Models -- 5.3 Results Obtained -- 6 Conclusion -- 7 Future Scope -- References -- Providing Safety for Citizens and Tourists in Cities: A System for Detecting Anomalous Sounds -- 1 Introduction -- 2 Materials and Methods -- 2.1 Audio Features in the Time Domain -- 2.2 Zero-Crossing Rate -- 3 Results -- 3.1 Dataset -- 4 Conclusion -- References -- Mobilenet V2-FCD: Fake Currency Note Detection -- 1 Introduction -- 2 Literature Study -- 3 Proposed System -- 3.1 Data Collection -- 3.2 Data Pre-processing. 3.3 Data Augmentation.
Record Nr.	UNINA-9910485587203321