Actuators for Intelligent Electric Vehicles |
Autore | Hang Peng |
Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
Descrizione fisica | 1 electronic resource (330 p.) |
Soggetto topico |
Technology: general issues
History of engineering & technology Mechanical engineering & materials |
Soggetto non controllato |
curb detection
intelligent vehicles autonomous driving electro-hydraulic brake system master cylinder pressure estimation vehicle longitudinal dynamics brake linings’ coefficient of friction ACC safety evaluation human-like evaluation naturalistic driving study driving behavior characteristic electric vehicles independent drive direct yaw control torque distribution ultra-wideband relative localization enhanced precision clock self-correction homotopy Levenberg–Marquardt electric power steering steering actuator driverless racing vehicles control autonomous vehicles lane-changing decision-making path planning four-wheel independent drive four-wheel independent steering path tracking handling stability active safety control electric vehicle intelligent sanitation vehicle trash can-handling robot truss structure multi-objective parameter optimization topology optimization discrete optimization multiple load cases intelligent electric vehicles driver behavior recognition multi-semantic description confidence fusion drift parking open-loop control supervision mechanism two-speed AMT in-wheel-drive shifting process selectable one-way clutch five-degree-of-freedom vehicle model pressure–position model recursive least square advanced driver assistant systems adaptive cruise control direct yaw moment control extension control model predictive control optimization design vehicle structure design uncertainty deceleration device tyre-road peak friction coefficient estimation tyre model normalization incentive sensitivity four-wheel steering semantic segmentation high-resolution atlas training super-resolution |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910566471903321 |
Hang Peng
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Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
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Lo trovi qui: Univ. Federico II | ||
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Advanced Deep Learning Strategies for the Analysis of Remote Sensing Images |
Autore | Bazi Yakoub |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
Descrizione fisica | 1 electronic resource (438 p.) |
Soggetto topico | Research & information: general |
Soggetto non controllato |
synthetic aperture radar
despeckling multi-scale LSTM sub-pixel high-resolution remote sensing imagery road extraction machine learning DenseUNet scene classification lifting scheme convolution CNN image classification deep features hand-crafted features Sinkhorn loss remote sensing text image matching triplet networks EfficientNets LSTM network convolutional neural network water identification water index semantic segmentation high-resolution remote sensing image pixel-wise classification result correction conditional random field (CRF) satellite object detection neural networks single-shot deep learning global convolution network feature fusion depthwise atrous convolution high-resolution representations ISPRS vaihingen Landsat-8 faster region-based convolutional neural network (FRCNN) single-shot multibox detector (SSD) super-resolution remote sensing imagery edge enhancement satellites open-set domain adaptation adversarial learning min-max entropy pareto ranking SAR Sentinel–1 Open Street Map U–Net desert road infrastructure mapping monitoring deep convolutional networks outline extraction misalignments nearest feature selector hyperspectral image classification two stream residual network Batch Normalization plant disease detection precision agriculture UAV multispectral images orthophotos registration 3D information orthophotos segmentation wildfire detection convolutional neural networks densenet generative adversarial networks CycleGAN data augmentation pavement markings visibility framework urban forests OUDN algorithm object-based high spatial resolution remote sensing Generative Adversarial Networks post-disaster building damage assessment anomaly detection Unmanned Aerial Vehicles (UAV) xBD feature engineering orthophoto unsupervised segmentation |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557747903321 |
Bazi Yakoub
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Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
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Lo trovi qui: Univ. Federico II | ||
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Artificial Neural Networks and Evolutionary Computation in Remote Sensing |
Autore | Kavzoglu Taskin |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
Descrizione fisica | 1 electronic resource (256 p.) |
Soggetto topico | Research & information: general |
Soggetto non controllato |
convolutional neural network
image segmentation multi-scale feature fusion semantic features Gaofen 6 aerial images land-use Tai’an convolutional neural networks (CNNs) feature fusion ship detection optical remote sensing images end-to-end detection transfer learning remote sensing single shot multi-box detector (SSD) You Look Only Once-v3 (YOLO-v3) Faster RCNN statistical features Gaofen-2 imagery winter wheat post-processing spatial distribution Feicheng China light detection and ranging LiDAR deep learning convolutional neural networks CNNs mask regional-convolutional neural networks mask R-CNN digital terrain analysis resource extraction hyperspectral image classification few-shot learning quadruplet loss dense network dilated convolutional network artificial neural networks classification superstructure optimization mixed-inter nonlinear programming hyperspectral images super-resolution SRGAN model generalization image downscaling mixed forest multi-label segmentation semantic segmentation unmanned aerial vehicles classification ensemble machine learning Sentinel-2 geographic information system (GIS) earth observation on-board microsat mission nanosat AI on the edge CNN |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557148403321 |
Kavzoglu Taskin
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Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
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Lo trovi qui: Univ. Federico II | ||
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Augmented Reality, Virtual Reality & Semantic 3D Reconstruction |
Autore | Lv Zhihan |
Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
Descrizione fisica | 1 electronic resource (304 p.) |
Soggetto topico |
Technology: general issues
History of engineering & technology |
Soggetto non controllato |
feature tracking
superpixel structure from motion three-dimensional reconstruction local feature multi-view stereo construction hazard safety education photoreality virtual reality anatomization audio classification olfactory display deep learning transfer learning inception model augmented reality higher education scientific production web of science bibliometric analysis scientific mapping applications in subject areas interactive learning environments 3P model primary education educational technology mobile lip reading system lightweight neural network face correction virtual reality (VR) computer vision projection mapping 3D face model super-resolution radial curve Dynamic Time Warping semantic 3D reconstruction eye-in-hand vision system robotic manipulator probabilistic fusion graph-based refinement 3D modelling 3D representation game engine laser scanning panoramic photography super-resolution reconstruction generative adversarial networks dense convolutional networks texture loss WGAN-GP orientation positioning viewpoint image matching algorithm transformation ADHD EDAH assessment continuous performance test Photometric Stereo (PS) 3D reconstruction fully convolutional network (FCN) semi-immersive virtual reality children cooperative games empowerment perception motor planning problem-solving area of interest wayfinding spatial information one-shot learning gesture recognition GREN skeleton-based 3D composition pre-visualization stereo vision 360° video |
ISBN | 3-0365-6062-9 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910639985103321 |
Lv Zhihan
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Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
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Lo trovi qui: Univ. Federico II | ||
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Digital heritage reconstruction using super-resolution and inpainting / / Milind G. Padalkar, Manjunath V. Joshi, Nilay L. Khatri |
Autore | Padalkar Milind G. |
Pubbl/distr/stampa | [San Rafael, California] : , : Morgan & Claypool, , 2017 |
Descrizione fisica | 1 online resource (170 pages) : illustrations |
Disciplina | 621.367 |
Collana | Synthesis lectures on visual computing |
Soggetto topico |
Image reconstruction
Image processing - Digital techniques Historic sites - Conservation and restoration Statues - Conservation and restoration Inpainting |
Soggetto non controllato |
super-resolution
inpainting cultural heritage crack detection digital reconstruction |
ISBN | 1-62705-616-5 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
1. Introduction -- 1.1 What is super-resolution? -- 1.2 What is inpainting? -- 1.3 Applying super-resolution and inpainting in digital heritage images: challenges and solutions -- 1.4 A tour of the book --
2. Image super-resolution: self-learning, sparsity and Gabor prior -- 2.1 Single-image SR: a unified framework -- 2.1.1 Classical (within-scale) super-resolution -- 2.1.2 Exampled-based (across-scale) super-resolution -- 2.1.3 Unifying classical and example-based SR -- 2.2 Self-learning and degradation estimation -- 2.3 Gabor prior and regularization -- 2.4 Performance evaluation -- 2.4.1 Qualitative evaluation -- 2.4.2 Quantitative evaluation -- 2.5 Conclusion -- 3. Self-learning: faster, smarter, simpler -- 3.1 Efficient self-learning -- 3.1.1 Improved self-learning for super-resolution -- 3.2 Performance evaluation -- 3.2.1 Perceptual and quantitative evaluation -- 3.2.2 Improvements and extensions -- 3.3 Conclusion -- 4. An exemplar-based inpainting using an autoregressive model -- 4.1 Limitation of existing approaches -- 4.2 Proposed approach -- 4.3 Experimental results -- 4.4 Conclusion -- 5. Attempts to improve inpainting -- 5.1 A modified exemplar-based multi-resolution approach -- 5.1.1 Refinement by matching a larger region -- 5.1.2 Refinement using the patch-neighborhood relationship -- 5.1.3 Refinement using compressive sensing framework -- 5.2 Curvature-based approach for inpainting -- 5.3 Observations and conclusion -- 6. Simultaneous inpainting and super-resolution -- 6.1 Need for patch comparison at finer resolution -- 6.2 Proposed approach -- 6.2.1 Constructing image-representative LR-HR dictionaries -- 6.2.2 Estimation of HR patches -- 6.2.3 Simultaneous inpainting and SR of missing pixels -- 6.3 Experimental results -- 6.4 Conclusion -- 7. Detecting and inpainting damaged regions in facial images of statues -- 7.1 Preprocessing -- 7.2 Extraction of eye, nose and lip regions -- 7.3 Classification -- 7.4 Inpainting -- 7.5 Experimental results -- 7.6 Conclusion -- 8. Auto-inpainting cracks in heritage scenes -- 8.1 A simple method for detecting and inpainting cracks -- 8.1.1 Order-statistics-based filtering -- 8.1.2 Scan-line peak difference detection -- 8.1.3 Density-based filtering -- 8.1.4 Refinement -- 8.1.5 Experimental results -- 8.2 Singular value decomposition-based crack detection and inpainting -- 8.2.1 SVD and patch analysis -- 8.2.2 Thresholding -- 8.2.3 Experimental results -- 8.3 Crack detection using tolerant edit distance and inpainting -- 8.3.1 Preprocessing -- 8.3.2 Patch comparison using tolerant edit distance -- 8.3.3 Edge strength calculation -- 8.3.4 Thresholding -- 8.3.5 Refinement -- 8.3.6 Experimental results -- 8.4 Extension to auto-inpaint cracks in videos -- 8.4.1 Homography estimation -- 8.4.2 Reference frame detection -- 8.4.3 Tracking and inpainting cracked regions across frames -- 8.4.4 Experimental results -- 8.5 Conclusion -- 9. Challenges and future directions -- Bibliography -- Authors' biographies. |
Record Nr. | UNINA-9910155693403321 |
Padalkar Milind G.
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[San Rafael, California] : , : Morgan & Claypool, , 2017 | ||
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Lo trovi qui: Univ. Federico II | ||
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Digital Signal, Image and Video Processing for Emerging Multimedia Technology |
Autore | Kim Byung-Gyu |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
Descrizione fisica | 1 electronic resource (392 p.) |
Soggetto topico | History of engineering & technology |
Soggetto non controllato |
closed circuit television (CCTV)
character order preserving cloud system privacy risk security video surveillance 3D depth map inter-component prediction MVD reversible data hiding texture wavelet analysis deep learning super-resolution deep neural architecture pattern mining multi-scale analysis reversible data hiding (RDH) image processing cloud computing public key cryptography (PKC) classification content-based image retrieval genetic algorithms image retrieval image classification Wiener-Granger causality block-compressive sensing (BCS) saliency error analysis flexible partitioning step-less adaptive sampling non-linear filters MCV and MLV filters de-noising noise removal edge preserving video coding motion estimation motion compensation affine motion model perspective motion model VVC quantization (signal) channel allocation scalable video coding convolution neural network scene recognition vector of locally aggregated descriptor weakly supervised attention map fire and smoke detection spatial and temporal wavelet transform coefficient of variation image steganalysis WOW UNIWARD ternary classification convolutional neural network (CNN) bayesian optimization gaussian process learning rate acauisition function machine learning moving object image stabilization object detection optical flow surveillance UAVs multiview high efficiency video coding ρ model bit allocation rate control image similarity frame complexity image deblurring generative adversarial network Wasserstein distance adversarial loss perceptual loss sentiment analysis social media lexicon image fusion multi-focus trimaps focus maps VisDrone2019 aerial imagery Faster R-CNN SSD RFCN YOLOv3 RetinaNet SNIPER CenterNet wrist-mounted DiverPAD electrical insulator capacitive touchscreen marine leisure activities convolutional neural networks pattern recognition low light image restoration denoise noise reduction deep leaning multiple feature dependency detection surveillance system |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557136003321 |
Kim Byung-Gyu
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Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
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Lo trovi qui: Univ. Federico II | ||
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Image and Video Processing and Recognition Based on Artificial Intelligence |
Autore | Park Kang Ryoung |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
Descrizione fisica | 1 electronic resource (431 p.) |
Soggetto topico | Technology: general issues |
Soggetto non controllato |
emotion recognition
brain computer interface bag of deep features continuous wavelet transform face image analysis deep learning face parsing facial attributes classification building extraction convolutional neural networks mask R-CNN high-resolution remote sensing image autoencoders semi-supervised learning computer vision pathology epidermis skin image processing generative models generative adversarial net depth map super-resolution guidance residual network channel interaction pose estimation body orientation multi-person multi-task surface defect detection active learning generative adversarial network presentation attack detection artificial image generation presentation attack face images ultrasound image malignant thyroid nodule artificial intelligence weighted binary cross-entropy loss infrared circumferential scanning system target recognition deep convolutional neural networks data augmentation transfer learning bounding box regression loss function medical image fusion convolutional neural network image pyramid multi-scale decomposition armature surface inspection action recognition social robotics common spatial patterns vehicle recognition multi resolution network optimization semantic segmentation global context local context fully convolutional networks image-to-image conversion image de-raining label to photos edges to photos generative adversarial network (GAN) remote sensing helicopter footage crowd counting multitask learning normalized cross-correlation Marr wavelets entropy and response graph matching RANSAC GC–LSTM model typhoon satellite image prediction system monocular depth estimation feature distillation joint attention finger-vein recognition camera position finger position lighting unobserved database heterogeneous database domain adaptation cycle-consistent adversarial networks SDUMLA-HMT-DB HKPolyU-DB biometrics face recognition single-sample face recognition binarized statistical image features K-nearest neighbors sparse coding fast approximation homotopy iterative hard thresholding object recognition character recognition orthogonal polynomials orthogonal moments Krawtchouk polynomials Tchebichef polynomials support vector machine |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557371203321 |
Park Kang Ryoung
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Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
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Lo trovi qui: Univ. Federico II | ||
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Image Simulation in Remote Sensing |
Autore | Eo Yang Dam |
Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
Descrizione fisica | 1 electronic resource (128 p.) |
Soggetto topico |
Technology: general issues
History of engineering & technology |
Soggetto non controllato |
image fusion
random forest regression SAR image panchromatic image high-resolution multi-beam LiDAR in situ self-calibration mobile mapping system 3D point cloud backpack-based mapping aerial orthoimage Sentinel-2 super-resolution image simulation residual U-Net interferometry remote sensing computational simulation denoising detection SAR imagery fusing region proposals KOMPSAT-3A strip sensor modeling RPCs mosaic matching discrepancy |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910566468703321 |
Eo Yang Dam
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Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
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Lo trovi qui: Univ. Federico II | ||
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Imaging Sensors and Applications |
Autore | Lee Changho |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
Descrizione fisica | 1 electronic resource (350 p.) |
Soggetto topico | Technology: general issues |
Soggetto non controllato |
fluorescence LiDAR
laser-induced fluorescence vegetation monitoring classification discrimination 3D measurement fringe projection 3D Fourier transform phase unwrapping phase measurement ultrasound photoacoustic imaging photoacoustic microscopy biomedical imaging multifocal point transducer wave patterns analytical model directivity pattern guided wave (GW) non-destructive testing (NDT) macro-fiber composite (MFC) transducer elastography soft tissue nonlinearity viscoelasticity acoustic emission hydrogel nanosilica transcranial skull bone aberration photoacoustic distortion brain imaging balloon catheter image guiding medical diagnostic imaging ultrasonic imaging abdominal ultrasound plane wave imaging diverging wave imaging synthetic focusing back muscle stiffness spine elasticity shear-wave elastography (SWE) tissue ultrasound palpation system (TUPS) reliability Young's modulus carfilzomib peripheral vasculature quantitative analysis transrectal probe optical lens ultrasound imaging prostate cancer optical coherence tomography quad-scanner scanning strategy whole-directional scanning full-directional imaging IoT remote control remote operation remote sharing economy research equipment sharing two-photon laser scanning microscopy MQTT deep learning ensemble learning brain tumor classification machine learning transfer learning around view monitoring system automatic camera calibration vision-based advanced driver assistance systems high-frequency ultrasound ophthalmic imaging synthetic aperture convex array transducer bandwidth expander ultrasound transducer device power amplifier super-resolution clinical applications |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557751503321 |
Lee Changho
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Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
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Lo trovi qui: Univ. Federico II | ||
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Imaging Synapse Structure and Function |
Autore | George J. Augustine |
Pubbl/distr/stampa | Frontiers Media SA, 2017 |
Descrizione fisica | 1 electronic resource (125 p.) |
Collana | Frontiers Research Topics |
Soggetto non controllato |
connectomics
super-resolution optogenetics Schizophrenia metabotropic glutamate receptors brain circuits functional imaging Electron microscopy calcium imaging Synaptic Transmission synaptic vesicle trafficking |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910220035803321 |
George J. Augustine
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Frontiers Media SA, 2017 | ||
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Lo trovi qui: Univ. Federico II | ||
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