Abdominal Imaging. Computational and Clinical Applications [[electronic resource] ] : 5th International Workshop, Held in Conjunction with MICCAI 2013, Nagoya, Japan, September 22, 2013, Proceedings / / edited by Hiroyuki Yoshida, Simon Warfield, Michael Vannier |
Edizione | [1st ed. 2013.] |
Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 |
Descrizione fisica | 1 online resource (XIV, 300 p. 147 illus.) |
Disciplina |
006.6
006.37 |
Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
Soggetto topico |
Optical data processing
Computers Pattern recognition Artificial intelligence Computer science Image Processing and Computer Vision Computer Imaging, Vision, Pattern Recognition and Graphics Computation by Abstract Devices Pattern Recognition Artificial Intelligence Computer Science, general |
ISBN | 3-642-41083-9 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | A Model Development Pipeline for Crohn’s Disease Severity Assessment from Magnetic Resonance Images -- Spatially Constrained Incoherent Motion (SCIM) Model Improves Quantitative Diffusion-Weighted MRI Analysis of Crohn’s Disease Patients -- Self Similarity Image Registration based on Reorientation of the Hessian -- Registration of Prone and Supine CT Colonography Datasets with Differing Endoluminal Distension -- Spatial Correspondence between Prone and Supine CT Colonography Images: Creating a Reference Standard -- Registration of Temporally Separated CT Colonography Cases -- A Classification-Enhanced Vote Accumulation Scheme for Detecting Colonic Polyps -- A Novel Computer Aided Detection (CADe) Scheme for Colonic Polyps Based on the Structure Decomposition -- Computer-aided Detection of Colorectal Lesions with Super-Resolution CT Colonography: Pilot Evaluation -- Computer-aided Detection of Non-polypoid Flat Lesions in CT Colonography: Observer Performance Study -- Application of Synthetic Sinogram based Low-Dose CT Simulation and Fold-preserving Electronic Cleansing Technique for CT Colonography -- Iterative Reconstruction for Ultra-Low-Dose Laxative-Free CT Colonography -- Global Colon Geometric Structure Analysis Based on Geodesics and Conformal Flattening -- Improved Colon Navigation for Efficient Polyp Detection in Virtual Colonoscopy -- Personalised Estimation of the Arterial Input Function for Improved Pharmacokinetic Modelling of Colorectal Cancer Using dceMRI -- Free-Form Registration Involving Disappearing Structures: Application to Brachytherapy MRI -- Contour-based TVUS-MR Image Registration for Mapping Small Endometrial Implants -- Rigid Registration of Untracked Freehand 2D Ultrasound Sweeps to 3D CT of Liver Tumours -- Multiphase Liver Registration from Geodesic Distance Maps and Biomechanical Modelling -- Fast Renal Cortex Localization by Combining Generalized Hough Transform and Active Appearance Models -- 3D Surface Reconstruction of Organs Using Patient-Specific Shape Priors in Robot-Assisted Laparoscopic Surgery -- Multi-atlas and Gaussian Mixture Modeling based Perirectal Fat Segmentation from CT Images -- Selective Search and Sequential Detection for Standard Plane Localization in Ultrasound -- Rib Detection in 3D MRI Using Dynamic Programming Based on Vesselness and Ridgeness -- Modeling and Simulation of Soft Tissue Deformation -- Adaptive Confidence Regions of Motion Predictions from Population Exemplar Models -- A Generic, Robust and Fully-automatic Workflow for 3D CT Liver Segmentation -- Tumor Subtype-Specific Parameter Optimization in a Hybrid Active Surface Model for Hepatic Tumor Segmentation of 3D Liver Ultrasonograms -- Continuous-Time Flow-limited Modeling by Convolution Area Property and Differentiation Product Rule in 4-Phase Liver Dynamic Contrast-Enhanced CT -- Use of Tracer Kinetic Model-driven Biomarkers for Monitoring Antiangiogenic Therapy of Hepatocellular Carcinoma in First-pass Perfusion CT -- A Statistical Shape Model for Multiple Organs based on Synthesized-based Learning -- A Survey of Cervix Segmentation Methods in Magnetic Resonance Images. |
Record Nr. | UNINA-9910483557803321 |
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Abdominal Imaging. Computational and Clinical Applications [[electronic resource] ] : 5th International Workshop, Held in Conjunction with MICCAI 2013, Nagoya, Japan, September 22, 2013, Proceedings / / edited by Hiroyuki Yoshida, Simon Warfield, Michael Vannier |
Edizione | [1st ed. 2013.] |
Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 |
Descrizione fisica | 1 online resource (XIV, 300 p. 147 illus.) |
Disciplina |
006.6
006.37 |
Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
Soggetto topico |
Optical data processing
Computers Pattern recognition Artificial intelligence Computer science Image Processing and Computer Vision Computer Imaging, Vision, Pattern Recognition and Graphics Computation by Abstract Devices Pattern Recognition Artificial Intelligence Computer Science, general |
ISBN | 3-642-41083-9 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | A Model Development Pipeline for Crohn’s Disease Severity Assessment from Magnetic Resonance Images -- Spatially Constrained Incoherent Motion (SCIM) Model Improves Quantitative Diffusion-Weighted MRI Analysis of Crohn’s Disease Patients -- Self Similarity Image Registration based on Reorientation of the Hessian -- Registration of Prone and Supine CT Colonography Datasets with Differing Endoluminal Distension -- Spatial Correspondence between Prone and Supine CT Colonography Images: Creating a Reference Standard -- Registration of Temporally Separated CT Colonography Cases -- A Classification-Enhanced Vote Accumulation Scheme for Detecting Colonic Polyps -- A Novel Computer Aided Detection (CADe) Scheme for Colonic Polyps Based on the Structure Decomposition -- Computer-aided Detection of Colorectal Lesions with Super-Resolution CT Colonography: Pilot Evaluation -- Computer-aided Detection of Non-polypoid Flat Lesions in CT Colonography: Observer Performance Study -- Application of Synthetic Sinogram based Low-Dose CT Simulation and Fold-preserving Electronic Cleansing Technique for CT Colonography -- Iterative Reconstruction for Ultra-Low-Dose Laxative-Free CT Colonography -- Global Colon Geometric Structure Analysis Based on Geodesics and Conformal Flattening -- Improved Colon Navigation for Efficient Polyp Detection in Virtual Colonoscopy -- Personalised Estimation of the Arterial Input Function for Improved Pharmacokinetic Modelling of Colorectal Cancer Using dceMRI -- Free-Form Registration Involving Disappearing Structures: Application to Brachytherapy MRI -- Contour-based TVUS-MR Image Registration for Mapping Small Endometrial Implants -- Rigid Registration of Untracked Freehand 2D Ultrasound Sweeps to 3D CT of Liver Tumours -- Multiphase Liver Registration from Geodesic Distance Maps and Biomechanical Modelling -- Fast Renal Cortex Localization by Combining Generalized Hough Transform and Active Appearance Models -- 3D Surface Reconstruction of Organs Using Patient-Specific Shape Priors in Robot-Assisted Laparoscopic Surgery -- Multi-atlas and Gaussian Mixture Modeling based Perirectal Fat Segmentation from CT Images -- Selective Search and Sequential Detection for Standard Plane Localization in Ultrasound -- Rib Detection in 3D MRI Using Dynamic Programming Based on Vesselness and Ridgeness -- Modeling and Simulation of Soft Tissue Deformation -- Adaptive Confidence Regions of Motion Predictions from Population Exemplar Models -- A Generic, Robust and Fully-automatic Workflow for 3D CT Liver Segmentation -- Tumor Subtype-Specific Parameter Optimization in a Hybrid Active Surface Model for Hepatic Tumor Segmentation of 3D Liver Ultrasonograms -- Continuous-Time Flow-limited Modeling by Convolution Area Property and Differentiation Product Rule in 4-Phase Liver Dynamic Contrast-Enhanced CT -- Use of Tracer Kinetic Model-driven Biomarkers for Monitoring Antiangiogenic Therapy of Hepatocellular Carcinoma in First-pass Perfusion CT -- A Statistical Shape Model for Multiple Organs based on Synthesized-based Learning -- A Survey of Cervix Segmentation Methods in Magnetic Resonance Images. |
Record Nr. | UNISA-996465545103316 |
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
|
Abdominal Imaging: Computational and Clinical Applications [[electronic resource] ] : Third International Workshop, Held in Conjunction with MICCAI 2011, Toronto, Canada, September 18, 2011, Revised Selected Papers / / edited by Hiroyuki Yoshida, Georgios Sakas, Marius George Linguraru |
Edizione | [1st ed. 2012.] |
Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012 |
Descrizione fisica | 1 online resource (XIV, 274 p. 148 illus.) |
Disciplina | 617.5/50754 |
Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
Soggetto topico |
Optical data processing
Pattern recognition User interfaces (Computer systems) Computer graphics Radiology Image Processing and Computer Vision Pattern Recognition User Interfaces and Human Computer Interaction Computer Graphics Computer Imaging, Vision, Pattern Recognition and Graphics Imaging / Radiology |
Soggetto genere / forma | Conference papers and proceedings. |
ISBN | 3-642-28557-0 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Virtual Colonoscopy and CAD Inverse Consistency Error in the Registration of Prone and Supine Images in CT Colonography -- Dual-Energy Electronic Cleansing for Artifact-Free Visualization of the Colon in Fecal-Tagging CT Colonography -- Computer-Aided Polyp Detection for Laxative-Free CT Colonography -- Comparative Performance of Random Forest and Support Vector Machine Classifiers for Detection of Colorectal Lesions in CT Colonography -- Image-Enhanced Capsule Endoscopy Preserving the Original Color Tones -- 3D Non-rigid Motion Correction of Free-Breathing Abdominal DCE-MRI Data -- Segmentation of Liver Tumor Using Efficient Global Optimal Tree Metrics Graph Cuts -- Ensemble Detection of Colorectal Lesions for CT Colonography -- Automated Detection of Colorectal Lesions in Non-cathartic CT Colonography -- Integration of Valley Orientation Distribution for Polyp Region Identification in Colonoscopy -- Automated Detection and Diagnosis of Crohn’s Disease in CT Enterography -- Quantitative Evaluation of Lumbar Disc Herniation Based on MRI Image -- Liver Tumor Segmentation Using Kernel-Based FGCM and PGCM -- Abdominal Intervention Improving Diagnosis and Intervention: A Complete Approach for Registration of Liver CT Data -- Abdominal Images Non-rigid Registration Using Local-Affine Diffeomorphic Demons -- FIST: Fast Interactive Segmentation of Tumors -- Intraoperative Registration for Liver Tumor Ablation -- Sliding Geometries in Deformable Image Registration -- Simulation of Portal Vein Clamping and the Impact of Safety Margins for Liver Resection Planning -- Liver Segmentation in CT Images for Intervention Using a Graph-Cut Based Model -- Anatomical Feature-Guided Mutual Information Registration of Multimodal Prostate MRI -- Computational Abdominal Anatomy Abdominal Multi-organ Segmentation of CT Images Based on Hierarchical Spatial Modeling of Organ Interrelations -- Organ Segmentation from 3D Abdominal CT Images Based on Atlas Selection and Graph -- Liver Segmental Anatomy and Analysis from Vessel and Tumor Segmentation via Optimized Graph Cuts -- Liver and Tumor Segmentation and Analysis from CT of Diseased Patients via a Generic Affine Invariant Shape Parameterization and Graph Cuts -- A Bayesian Framework for Estimating Respiratory Liver Motion from Sparse Measurements.-Semi–automated Subcutaneous and Visceral Adipose Tissue Quantification in Computed Tomography -- Computation and Evaluation of Medial Surfaces for Shape Representation of Abdominal Organs -- Discontinuity Preserving Registration of Abdominal MR Images with Apparent Sliding Organ Motion -- Segmentation of Cervical Images by Inter-subject Registration with a Statistical Organ Model -- A New Method for Contour Determination of the Prostate in Ultrasound Images -- Analyses of Missing Organs in Abdominal Multi-Organ Segmentation -- Geometric Modelling of Patient-Specific Hepatic Structures Using Cubic Hermite Elements. |
Record Nr. | UNISA-996465932103316 |
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
|
Accelerating Science and Engineering Discoveries Through Integrated Research Infrastructure for Experiment, Big Data, Modeling and Simulation [[electronic resource] ] : 22nd Smoky Mountains Computational Sciences and Engineering Conference, SMC 2022, Virtual Event, August 23–25, 2022, Revised Selected Papers / / edited by Kothe Doug, Geist Al, Swaroop Pophale, Hong Liu, Suzanne Parete-Koon |
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 |
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2022 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
|
Accelerating Science and Engineering Discoveries Through Integrated Research Infrastructure for Experiment, Big Data, Modeling and Simulation [[electronic resource] ] : 22nd Smoky Mountains Computational Sciences and Engineering Conference, SMC 2022, Virtual Event, August 23–25, 2022, Revised Selected Papers / / edited by Kothe Doug, Geist Al, Swaroop Pophale, Hong Liu, Suzanne Parete-Koon |
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. | UNINA-9910645891503321 |
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2022 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Adaptive and Natural Computing Algorithms [[electronic resource] ] : 10th International Conference, ICANNGA 2011, Ljubljana, Slovenia, April 14-16, 2011, Proceedings, Part II / / edited by Andrej Dobnikar, Uroš Lotric, Branko Šter |
Edizione | [1st ed. 2011.] |
Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2011 |
Descrizione fisica | 1 online resource (XVI, 403 p. 131 illus., 43 illus. in color.) |
Disciplina | 004.0151 |
Collana | Theoretical Computer Science and General Issues |
Soggetto topico |
Computer science
Algorithms Software engineering Computer programming Image processing—Digital techniques Computer vision Artificial intelligence Theory of Computation Software Engineering Programming Techniques Computer Imaging, Vision, Pattern Recognition and Graphics Artificial Intelligence |
ISBN | 3-642-20267-5 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNISA-996465572303316 |
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2011 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
|
Advance Trends in Soft Computing [[electronic resource] ] : Proceedings of WCSC 2013, December 16-18, San Antonio, Texas, USA / / edited by Mo Jamshidi, Vladik Kreinovich, Janusz Kacprzyk |
Edizione | [1st ed. 2014.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 |
Descrizione fisica | 1 online resource (XII, 468 p. 163 illus., 40 illus. in color.) |
Disciplina | 006.3 |
Collana | Studies in Fuzziness and Soft Computing |
Soggetto topico |
Computational intelligence
Data mining Optical data processing Artificial intelligence Computational Intelligence Data Mining and Knowledge Discovery Computer Imaging, Vision, Pattern Recognition and Graphics Artificial Intelligence |
ISBN | 3-319-03674-2 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Synthesis and Research of Neuro-Fuzzy Model of Ecopyrogenesis Multi-Circuit Circulatory System -- Investigation of Ordered Weighted Averaging Weights for Estimating fuzzy validity of Geometric Shapes -- Processing Quantities with Heavy-Tailed Distribution of Measurement Uncertainty:How to Estimate the Tails of the Results of Data Processing -- A Logic for Qualified Syllogisms -- Flexible Querying Using Criterion Trees -- Non-stationary Time Series Clustering with Application to Climate Systems -- A Generalized Fuzzy T-norm Formulation of Fuzzy Modularity for Community Detection in Social Networks -- Soft Computing Models in Online Real Estate -- Constraints Preserving Genetic Algorithm for Learning Fuzzy Measures with an Application to Ontology Matching -- Topology Preservation in Fuzzy Self-Organizing Maps -- Designing Type-2 Fuzzy Controllers Using Lyapunov Approach for Trajectory Tracking -- Decentralized Adaptive Fuzzy Control Applied to a Robot Manipulator -- Modeling, Planning, Decision-making and Control in Fuzzy Environment -- Knowledge Integration for Uncertainty Management -- Co-reference resolution in Persian corpora -- Real-Time Implementation of a Neural Inverse Optimal Control for a Linear Induction Motor -- Preliminary Results on a New Fuzzy Cognitive Map Structure -- Time Series Image Data Analysis for Sport Skill -- Towards Incremental A-r-Star -- Comparative Analysis of Evaluation Algorithms for Decision-Making in Transport Logistics -- Handling Big Data with Fuzzy Based Classification Approach -- OWA based Model for Talent Selection in Cricket.-Knowledge Representation in ISpace Based Man-Machine Communicatio -- An alpha-level OWA Implementation of Bounded Rationality for Fuzzy Route Selection -- Indices for Introspection of the Choquet Integral -- Artificial neural network modeling of slaughter house wastewater removal of COD and TSS by electro coagulation -- Memetic Algorithm for Solving the Task of Providing Group Anonymity, Oleg Chertov -- Takagi-Sugeno approximation of a Mamdani fuzzy system -- Alpha-Rooting Image Enhancement Using a Traditional Algorithm and Genetic Algorithm -- Learning User’s Characteristics in Collaborative Filtering Through Genetic Algorithms: Some New Results, Oswaldo Velez-Langs, Angelica De Anotonio Fuzzy Sets Can Be Interpreted as Limits of Crisp Sets and This Can Help to Fuzzify Crisp Notions -- How to Gauge Accuracy of Measurements and of Expert Estimates: Beyond Normal Distributions -- Automatic Tuning of SOM Neural Network by using Evolutionary Algorithms: An Application to the SHM Problem -- Density-Based Fuzzy Clustering as a First Step to Learning Rules: Challenges and Solutions -- Computing Covariance and Correlation in Optimally Privacy-Protected Statistical Databases: Feasible Algorithms -- Feature Selection with Fuzzy Entropy to Find Similar Cases-Computing Intensive Definition of Products, Laszlo Horvath -- PSO Optimal Tracking Control for State-Dependent Coefficient Nonlinear Systems -- Delphi-Neural Approach to Clinical Decision Making: A Preliminary Study -- Contextual bipolar queries -- Landing of a Quadcopter on a Mobile Base using Fuzzy Logic -- An Innovative Process for Qualitative Group Decision Making employing Fuzzy-Neural Decision Analyzer -- Preprocessing Method for Support Vector Machines Based on Center of. |
Record Nr. | UNINA-9910299487403321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Advanced Analytics and Learning on Temporal Data [[electronic resource] ] : 4th ECML PKDD Workshop, AALTD 2019, Würzburg, Germany, September 20, 2019, Revised Selected Papers / / edited by Vincent Lemaire, Simon Malinowski, Anthony Bagnall, Alexis Bondu, Thomas Guyet, Romain Tavenard |
Edizione | [1st ed. 2020.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
Descrizione fisica | 1 online resource (X, 229 p. 109 illus., 90 illus. in color.) |
Disciplina | 006.31 |
Collana | Lecture Notes in Artificial Intelligence |
Soggetto topico |
Artificial intelligence
Computers Computer organization Application software Optical data processing Artificial Intelligence Information Systems and Communication Service Computer Systems Organization and Communication Networks Computer Applications Computer Imaging, Vision, Pattern Recognition and Graphics |
ISBN | 3-030-39098-5 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Robust Functional Regression for Outlier Detection -- Transform Learning Based Function Approximation for Regression and Forecasting -- Proactive Fiber Break Detection based on Quaternion Time Series and Automatic Variable Selection from Relational Data -- A fully automated periodicity detection in time series -- Conditional Forecasting of Water Level Time Series with RNNs -- Challenges and Limitations in Clustering Blood Donor Hemoglobin Trajectories -- Localized Random Shapelets -- Feature-Based Gait Pattern Classification for a Robotic Walking Frame -- How to detect novelty in textual data streams? A comparative study of existing methods -- Seq2VAR: multivariate time series representation with relational neural networks and linear autoregressive model -- Modelling Patient Sequences for Rare Disease Detection with Semi-supervised Generative Adversarial Nets -- Extended Kalman Filter for Large Scale Vessels Trajectory Tracking in Distributed Stream Processing Systems -- Unsupervised Anomaly Detection in Multivariate Spatio-Temporal Datasets using Deep Learning -- Learning Stochastic Dynamical Systems via Bridge Sampling -- Quantifying Quality of Actions Using Wearable Sensor -- An Initial Study on Adapting DTW at Individual Query for Electrocardiogram Analysis. |
Record Nr. | UNINA-9910373928603321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Advanced Analytics and Learning on Temporal Data [[electronic resource] ] : 4th ECML PKDD Workshop, AALTD 2019, Würzburg, Germany, September 20, 2019, Revised Selected Papers / / edited by Vincent Lemaire, Simon Malinowski, Anthony Bagnall, Alexis Bondu, Thomas Guyet, Romain Tavenard |
Edizione | [1st ed. 2020.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
Descrizione fisica | 1 online resource (X, 229 p. 109 illus., 90 illus. in color.) |
Disciplina | 006.31 |
Collana | Lecture Notes in Artificial Intelligence |
Soggetto topico |
Artificial intelligence
Computers Computer organization Application software Optical data processing Artificial Intelligence Information Systems and Communication Service Computer Systems Organization and Communication Networks Computer Applications Computer Imaging, Vision, Pattern Recognition and Graphics |
ISBN | 3-030-39098-5 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Robust Functional Regression for Outlier Detection -- Transform Learning Based Function Approximation for Regression and Forecasting -- Proactive Fiber Break Detection based on Quaternion Time Series and Automatic Variable Selection from Relational Data -- A fully automated periodicity detection in time series -- Conditional Forecasting of Water Level Time Series with RNNs -- Challenges and Limitations in Clustering Blood Donor Hemoglobin Trajectories -- Localized Random Shapelets -- Feature-Based Gait Pattern Classification for a Robotic Walking Frame -- How to detect novelty in textual data streams? A comparative study of existing methods -- Seq2VAR: multivariate time series representation with relational neural networks and linear autoregressive model -- Modelling Patient Sequences for Rare Disease Detection with Semi-supervised Generative Adversarial Nets -- Extended Kalman Filter for Large Scale Vessels Trajectory Tracking in Distributed Stream Processing Systems -- Unsupervised Anomaly Detection in Multivariate Spatio-Temporal Datasets using Deep Learning -- Learning Stochastic Dynamical Systems via Bridge Sampling -- Quantifying Quality of Actions Using Wearable Sensor -- An Initial Study on Adapting DTW at Individual Query for Electrocardiogram Analysis. |
Record Nr. | UNISA-996418223603316 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
|
Advanced Color Image Processing and Analysis [[electronic resource] /] / edited by Christine Fernandez-Maloigne |
Edizione | [1st ed. 2013.] |
Pubbl/distr/stampa | New York, NY : , : Springer New York : , : Imprint : Springer, , 2013 |
Descrizione fisica | 1 online resource (513 p.) |
Disciplina | 621.367 |
Soggetto topico |
Signal processing
Image processing Speech processing systems Optical data processing Mathematics Visualization Signal, Image and Speech Processing Computer Imaging, Vision, Pattern Recognition and Graphics |
ISBN |
1-282-05687-5
9786613798824 1-4419-6190-9 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Fundamentals of Color -- CIECAM02 and its Recent Developments -- Color Difference Evaluation -- Cross-media Color Reproduction and Display Characterization -- Diherdral Color Filtering -- Color Representation and Processes with Clifford Algebra -- Image Super-resolution: A State-of-the-Art Review and Evaluation -- Color Image Segmentation -- Parametric Stochastic Modeling for Color Image Segmentation and Texture Characterization -- Color Invariants for Object Recognition -- Motion Estimation in Color Image Sequences -- Protection of Color Images by Selective Encryption -- Quality Assessment of Still Images -- Image Spectrometers, Color High Fidelity and Fine-art Paintings -- Application of Spectral Imaging to Electronic Endoscopes. |
Record Nr. | UNINA-9910438039503321 |
New York, NY : , : Springer New York : , : Imprint : Springer, , 2013 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|