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Multicopter design and control practice : / : a series experiments based on MATLAB and Pixhawk / / Quan Quan, Xunhua Dai, Shuai Wang
| Multicopter design and control practice : / : a series experiments based on MATLAB and Pixhawk / / Quan Quan, Xunhua Dai, Shuai Wang |
| Autore | Quan Quan |
| Edizione | [1st edition 2020.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (xvi, 407 pages) : illustrations |
| Disciplina | 629.13339 |
| Soggetto topico |
Automatic control
Robotics Automation Aerospace engineering Astronautics Drone aircraft - Control systems Drone aircraft - Design Control and Systems Theory Robotics and Automation Aerospace Technology and Astronautics |
| ISBN | 981-15-3138-2 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- Experimental Platform Configuration -- Experimental Platform Introduction -- Experimental Procedure -- Multicopter Propulsion System Design -- Multicoper Modeling -- Multicopter Sensor Calibration -- State Estimation and Filter Design -- Multicopter Attitude Controller Design -- Multicopter Set-point Controller Design -- Decision-making Controller Design for Semi-autonomous Multicopters -- Multicopter Failsafe Logic Design -- Appendix A -- Appendix B. |
| Record Nr. | UNINA-9910484724603321 |
Quan Quan
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| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Proceedings of the 2nd ACM international workshop on AI and software testing/analysis / / Shuai Wang, Xiaofei Xie, Lei Ma [editors]
| Proceedings of the 2nd ACM international workshop on AI and software testing/analysis / / Shuai Wang, Xiaofei Xie, Lei Ma [editors] |
| Pubbl/distr/stampa | New York, New York : , : Association for Computing Machinery, , 2022 |
| Descrizione fisica | 1 online resource (20 pages) |
| Disciplina | 004 |
| Soggetto topico | Computer science |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910585589703321 |
| New York, New York : , : Association for Computing Machinery, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Safeguarding Satellite Communications : Issues, Challenges, and Solutions
| Safeguarding Satellite Communications : Issues, Challenges, and Solutions |
| Autore | An Jianping |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Newark : , : John Wiley & Sons, Incorporated, , 2025 |
| Descrizione fisica | 1 online resource (321 pages) |
| Altri autori (Persone) |
WangShuai
YuePingyue PanGaofeng |
| Soggetto topico |
Artificial satellites in telecommunication
Telecommunication - Security measures |
| ISBN |
1-394-30430-7
1-394-30431-5 1-394-30432-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9911034866503321 |
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An Jianping
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| Newark : , : John Wiley & Sons, Incorporated, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Supervised and Semi-supervised Multi-structure Segmentation and Landmark Detection in Dental Data : MICCAI 2024 Challenges: ToothFairy 2024, 3DTeethLand 2024, and STS 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings / / edited by Yaqi Wang, Dahong Qian, Shuai Wang, Achraf Ben-Hamadou, Sergi Pujades, Luca Lumetti, Costantino Grana, Federico Bolelli
| Supervised and Semi-supervised Multi-structure Segmentation and Landmark Detection in Dental Data : MICCAI 2024 Challenges: ToothFairy 2024, 3DTeethLand 2024, and STS 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings / / edited by Yaqi Wang, Dahong Qian, Shuai Wang, Achraf Ben-Hamadou, Sergi Pujades, Luca Lumetti, Costantino Grana, Federico Bolelli |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (XVII, 242 p. 77 illus., 72 illus. in color.) |
| Disciplina | 006 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Image processing - Digital techniques
Computer vision Computers Application software Machine learning Computer Imaging, Vision, Pattern Recognition and Graphics Computing Milieux Computer and Information Systems Applications Machine Learning |
| ISBN | 3-031-88977-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | ToothFairy2: Multi-Structure Segmentation in CBCT Volumes -- Inferior Alveolar Nerve Segmentation in CBCT Images Using Connectivity-based Selective Re-training -- Scaling nnU-Net for CBCT Segmentation -- DiENTeS: Dynamic ENTity Segmentation with Local-Global Transformers -- Enhanced Multi-Structure Segmentation in CBCT Images with Adaptive Structure Optimization -- Weakly-Supervised Convolutional Neural Networks for Inferior Alveolar Nerve Segmentation in CBCT images -- A Multi-Axial Network for Oral Structural Segmentation -- Automatic Multi-Structure Segmentation in Cone Beam Computed Tomography Volumes Using Deep Encoder-Decoder Architectures -- Video Foundation Model for Medical 3D Segmentation -- STS: Semi-supervised Teeth Segmentation -- A Two-Stage Semi-Supervised nnU-Net Model for Automated Tooth Segmentation in Panoramic X-ray Images -- Two-Stage Semi-Supervised nnU-Net Framework for Tooth Segmentation in CBCT Images -- SemiT-SAM: Building a Visual Foundation Model for Tooth Instance Segmentation on Panoramic Radiographs -- Multi-stage Dental Visual Detection Based on YOLOv8: Dental 3D CBCT -- Efficient Semi-Supervised Tooth Instance Segmentation in Panoramic X-rays Using ResUnet50 and SAM Networks -- DAE-Net: Dual Attention Embedding-based Tooth Instance Segmentation Approach for Panoramic X-ray Images -- A Self-Training Pipeline for Semi-Supervised 2D Teeth Instance Segmentation -- Deformable Inherent Consistent Learning Network for Accurate Tooth Segmentation in Dental Panoramic Radiographs -- Semi-Supervised 2D Dental Image Segmentation via Cross Teaching Network -- A Novel Two-Stage Approach for 3D Dental Tooth Instance Segmentation -- 3DTeethLand24: 3D Teeth Landmarks Detection Challenge -- A Two-Stage Framework with Dual-Branch Network for End-to-End 3D Tooth Landmark Detection -- Leveraging Point Transformers for Detecting Anatomical Landmarks in Digital Dentistry -- ToothInstanceNet: Comprehensive Information from Intra-Oral Scans by Integration of Large-Context and High-Resolution Predictions. |
| Record Nr. | UNINA-9911003588803321 |
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Supervised and Semi-supervised Multi-structure Segmentation and Landmark Detection in Dental Data : MICCAI 2024 Challenges: ToothFairy 2024, 3DTeethLand 2024, and STS 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings / / edited by Yaqi Wang, Dahong Qian, Shuai Wang, Achraf Ben-Hamadou, Sergi Pujades, Luca Lumetti, Costantino Grana, Federico Bolelli
| Supervised and Semi-supervised Multi-structure Segmentation and Landmark Detection in Dental Data : MICCAI 2024 Challenges: ToothFairy 2024, 3DTeethLand 2024, and STS 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings / / edited by Yaqi Wang, Dahong Qian, Shuai Wang, Achraf Ben-Hamadou, Sergi Pujades, Luca Lumetti, Costantino Grana, Federico Bolelli |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (XVII, 242 p. 77 illus., 72 illus. in color.) |
| Disciplina | 006 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Image processing - Digital techniques
Computer vision Computers Application software Machine learning Computer Imaging, Vision, Pattern Recognition and Graphics Computing Milieux Computer and Information Systems Applications Machine Learning |
| ISBN | 3-031-88977-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | ToothFairy2: Multi-Structure Segmentation in CBCT Volumes -- Inferior Alveolar Nerve Segmentation in CBCT Images Using Connectivity-based Selective Re-training -- Scaling nnU-Net for CBCT Segmentation -- DiENTeS: Dynamic ENTity Segmentation with Local-Global Transformers -- Enhanced Multi-Structure Segmentation in CBCT Images with Adaptive Structure Optimization -- Weakly-Supervised Convolutional Neural Networks for Inferior Alveolar Nerve Segmentation in CBCT images -- A Multi-Axial Network for Oral Structural Segmentation -- Automatic Multi-Structure Segmentation in Cone Beam Computed Tomography Volumes Using Deep Encoder-Decoder Architectures -- Video Foundation Model for Medical 3D Segmentation -- STS: Semi-supervised Teeth Segmentation -- A Two-Stage Semi-Supervised nnU-Net Model for Automated Tooth Segmentation in Panoramic X-ray Images -- Two-Stage Semi-Supervised nnU-Net Framework for Tooth Segmentation in CBCT Images -- SemiT-SAM: Building a Visual Foundation Model for Tooth Instance Segmentation on Panoramic Radiographs -- Multi-stage Dental Visual Detection Based on YOLOv8: Dental 3D CBCT -- Efficient Semi-Supervised Tooth Instance Segmentation in Panoramic X-rays Using ResUnet50 and SAM Networks -- DAE-Net: Dual Attention Embedding-based Tooth Instance Segmentation Approach for Panoramic X-ray Images -- A Self-Training Pipeline for Semi-Supervised 2D Teeth Instance Segmentation -- Deformable Inherent Consistent Learning Network for Accurate Tooth Segmentation in Dental Panoramic Radiographs -- Semi-Supervised 2D Dental Image Segmentation via Cross Teaching Network -- A Novel Two-Stage Approach for 3D Dental Tooth Instance Segmentation -- 3DTeethLand24: 3D Teeth Landmarks Detection Challenge -- A Two-Stage Framework with Dual-Branch Network for End-to-End 3D Tooth Landmark Detection -- Leveraging Point Transformers for Detecting Anatomical Landmarks in Digital Dentistry -- ToothInstanceNet: Comprehensive Information from Intra-Oral Scans by Integration of Large-Context and High-Resolution Predictions. |
| Record Nr. | UNISA-996660361303316 |
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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