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1. |
Record Nr. |
UNISA996464411203316 |
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Titolo |
Modelling and simulation for autonomous systems : 7th International Conference, MESAS 2020, Prague, Czech Republic, October 21, 2020, revised selected papers / / edited by Jan Mazal [and three others] |
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Pubbl/distr/stampa |
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Cham, Switzerland : , : Springer, , [2021] |
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©2021 |
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ISBN |
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Edizione |
[1st ed. 2021.] |
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Descrizione fisica |
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1 online resource (XII, 309 p. 160 illus., 146 illus. in color.) |
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Collana |
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Information Systems and Applications, incl. Internet/Web, and HCI ; ; 12619 |
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Disciplina |
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Soggetti |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Future Challenges of Advanced M&S Technology -- Hyperbolic quantum computing based on quantum bit algebra QBA -- On Building Communication Maps in Subterranean Environments -- Combat UGVs support of company task force operations -- M&S driven experimentation for concept development on combined manned and unmanned vehicles in urban environment: simulation design -- UAV based Vehicle Detection with Synthetic Training: Identification of Performance Factors using Image Descriptors and Machine Learning -- Combining Epidemiological and Constructive Simulations for Robotics and Autonomous Systems supporting Logistic Supply in Infectious Diseases affected Areas -- M&S of Intelligent Systems – R&D and Application -- Numerical experiment on optimal control for the Dubins car model -- M&S based test bed to support V&V of Autonomous Resources Task Coordinator -- Replacement Possibilities of the Medium-Size Truck Transport Capabilities by UAVs in the Disturbed Logistics Infrastructure -- Experimental Leg Inverse Dynamics Learning of Multi-Legged Walking Robot -- Multi-UAV Mission Efficiency: First Results in an Agent-based Simulation -- The GRASP Metaheuristic for the Electric Vehicle Routing Problem -- Stereo Camera Simulation in Blender -- Vision-based Localization for Multi-rotor Aerial Vehicle in Outdoor Scenarios -- AxS/AI in Context of Future Warfare and Security |
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Environment -- Model of Surveillance in Complex Environment using a Swarm of Unmanned Aerial Vehicles -- Initial Solution Constructors for Capacitated Green Vehicle Routing Problem -- Artificial Intelligence in the Defence Sector -- Artificial Intelligence and Robotics addressing COVID-19 Pandemic’s Challenges -- ORB-SLAM2 Based Teach-and-Repeat System. |
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Sommario/riassunto |
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This book constitutes the thoroughly refereed post-conference proceedings of the 7th International Conference on Modelling and Simulation for Autonomous Systems, MESAS 2020, held in Prague, Czech Republic, in October 2020.* The 19 full papers included in the volume were carefully reviewed and selected from 26 submissions. They are organized in the following topical sections: future challenges of advanced M&S technology; M&S of intelligent systems – R&D and application; and AxS/AI in context of future warfare and security environment. *The conference was held virtually. |
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2. |
Record Nr. |
UNISA996691664703316 |
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Autore |
Wachinger Christian |
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Titolo |
Shape in Medical Imaging : International Workshop, ShapeMI 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 23, 2025, Proceedings / / edited by Christian Wachinger, Gijs Luijten, Shireen Elhabian, Karthik Gopinath, Jan Egger |
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Pubbl/distr/stampa |
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Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026 |
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ISBN |
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Edizione |
[1st ed. 2026.] |
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Descrizione fisica |
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1 online resource (573 pages) |
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Collana |
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Lecture Notes in Computer Science, , 1611-3349 ; ; 16171 |
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Altri autori (Persone) |
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LuijtenGijs |
ElhabianShireen |
GopinathKarthik |
EggerJan |
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Disciplina |
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Soggetti |
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Computer vision |
Machine learning |
Computers, Special purpose |
Computer Vision |
Machine Learning |
Special Purpose and Application-Based Systems |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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-- Anisotropic Fourier Features for Positional Encoding in Medical Imaging. -- PSGM-TR: A Transformer-Based Approach for Pulmonary Segment Segmentation Using Gaussian Mixture Models. -- A Unified Pipeline for Explainable Gait Analysis. -- ShapeKit. -- Posterior Shape Models Revisited: Improving 3D Reconstructions from Partial Data Using Target-Specific Models. -- Anatomically-Focused Patches for Lightweight and Explainable Knee OA Grading. -- Benchmarking Evaluation Metrics for Tubular Structure Segmentation in Biomedical Images. -- Large Intestine 3D Shape Refinement Using Conditional Latent Point Diffusion Models. -- A Statistical 3D Stomach Shape Model for Anatomical Analysis. -- AnatomyGen: Generating Anatomically Plausible Human Phantoms at High Resolution. -- Template-Based Cortical Surface Reconstruction with Minimal Energy Deformation. -- Spherical Brownian Bridge Diffusion Models for Conditional Cortical Thickness Forecasting. -- OsteoDeform: Osteophyte-Aware Shape Deformations of Distal Femur Models for Surgical Planning in Total Knee Arthroplasty. -- Spline-based shape compression for interventional device tracking. -- End-to-End Learning of Multi-Organ Implicit Surfaces from 3D Medical Imaging Data. -- A Simple Modality-Agnostic Representation for Scoliosis Phenotyping. -- US-X Complete: A Multi-Modal Approach to Anatomical 3D Shape Recovery. -- A Scalable Toolkit for Modeling 3D Surface-based Brain Geometry. -- Parametric shape models for vessels learned from segmentations via differentiable voxelization. -- Deep Learning Enables Large-Scale Shape and Appearance Modeling in Total-Body DXA Imaging. -- GReAT: leveraging geometric artery data to improve wall shear stress assessment. -- Shape vs flow: a 2D statistical shape analysis of the projection of common iliac veins in patients with deep vein thrombosis. -- Implicit Shape-Prior for Few-Shot Assisted 3D Segmentation. -- Point Set Registration Metrics Reloaded for Computer-Assisted Surgery. -- Benchmark-Ready 3D Anatomical Shape Classification. -- SimCortex: Collision-free Simultaneous Cortical Surfaces Reconstruction. |
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Sommario/riassunto |
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This book constitutes the proceedings of the International Workshop on Shape in Medical Imaging, ShapeMI 2025, which took place in Daejeon, South Korea, on September 23, 2025, held in conjunction with MICCAI 2025. The 26 full papers included in this book were carefully reviewed and selected from 28 submissions. They focus on shape and spectral analysis, geometric learning and modeling algorithms, and application-driven research. |
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