Actuators for Intelligent Electric Vehicles
| Actuators for Intelligent Electric Vehicles |
| Autore | Hang Peng |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (330 p.) |
| Soggetto topico |
History of engineering and technology
Mechanical engineering and materials Technology: general issues |
| Soggetto non controllato |
ACC
active safety control adaptive cruise control advanced driver assistant systems autonomous driving autonomous vehicles brake linings' coefficient of friction clock self-correction confidence fusion control curb detection deceleration device decision-making direct yaw control direct yaw moment control discrete optimization drift parking driver behavior recognition driverless racing vehicles driving behavior characteristic electric power steering electric vehicle electric vehicles electro-hydraulic brake system enhanced precision extension control five-degree-of-freedom vehicle model four-wheel independent drive four-wheel independent steering four-wheel steering handling stability high-resolution atlas training homotopy human-like evaluation in-wheel-drive incentive sensitivity independent drive intelligent electric vehicles intelligent sanitation vehicle intelligent vehicles lane-changing Levenberg-Marquardt master cylinder pressure estimation model predictive control multi-objective parameter optimization multi-semantic description multiple load cases naturalistic driving study normalization open-loop control optimization design path planning path tracking pressure-position model recursive least square relative localization safety evaluation selectable one-way clutch semantic segmentation shifting process steering actuator super-resolution supervision mechanism topology optimization torque distribution trash can-handling robot truss structure two-speed AMT tyre model tyre-road peak friction coefficient estimation ultra-wideband uncertainty vehicle longitudinal dynamics vehicle structure design |
| 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 | ||
| Lo trovi qui: Univ. Federico II | ||
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Advanced Computational Intelligence for Object Detection, Feature Extraction and Recognition in Smart Sensor Environments
| Advanced Computational Intelligence for Object Detection, Feature Extraction and Recognition in Smart Sensor Environments |
| Autore | Woźniak Marcin |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (454 p.) |
| Soggetto topico | Information technology industries |
| Soggetto non controllato |
3D convolutional neural networks
3D imaging activity measure advanced driver assistance system (ADAS) anchor box artefacts artificial bee colony atrous convolution augmented reality automatic design benchmark bio-inspired techniques brain hemorrhage cascade classifier cascaded center-ness citrus CNN complex search request computer vision continuous casting convolution neural networks (CNNs) convolutional neural network convolutional neural networks cross-scale CT brain CT images data acquisition deep learning deep sort defect detection deformable localization drone detection evidence chains evolving connectionist systems fabric defect feature extraction feature fusion few shot learning focal loss generative adversarial network grow-when-required neural network hand gesture recognition hepatic cancer high-speed trains human-robot interaction Hungarian algorithm hunting image analysis image processing image recognition industrial environments information retriever sensor InSAR machine learning marine systems mixed kernels multi-hop reasoning multi-scale multi-sensor fusion n/a nearest neighbor filtering neural network non-stationary object detection object detector object tracking one-class classifier optical flows parameter efficiency pests and diseases identification pixel convolution pose estimation reinforcement learning RFI semantic segmentation ship classification ship radiated noise spatial pooling spatiotemporal interest points sports scene superalloy tool surface defects surface electromyography (sEMG) SVM synthetic images three-dimensional (3D) vision thresholding tool wear monitoring Traffic sign detection and tracking (TSDR) UAV detection UAV imagery underwater acoustics unmanned aerial vehicles vehicle detection vehicular traffic congestion vehicular traffic flow classification vehicular traffic flow detection video classification video surveillance visual detection visual inspection visual question answering Yolo YOLOv2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557360703321 |
Woźniak Marcin
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Lo trovi qui: Univ. Federico II | ||
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Advanced Deep Learning Strategies for the Analysis of Remote Sensing Images
| 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 online resource (438 p.) |
| Soggetto topico | Research and information: general |
| Soggetto non controllato |
3D information
adversarial learning anomaly detection Batch Normalization building damage assessment CNN conditional random field (CRF) convolution convolutional neural network convolutional neural networks CycleGAN data augmentation deep convolutional networks deep features deep learning densenet DenseUNet depthwise atrous convolution desert despeckling edge enhancement EfficientNets faster region-based convolutional neural network (FRCNN) feature engineering feature fusion framework generative adversarial networks Generative Adversarial Networks global convolution network hand-crafted features high spatial resolution remote sensing high-resolution remote sensing image high-resolution remote sensing imagery high-resolution representations hyperspectral image classification image classification infrastructure ISPRS vaihingen Landsat-8 lifting scheme LSTM LSTM network machine learning mapping min-max entropy misalignments monitoring multi-scale nearest feature selector neural networks object detection object-based Open Street Map open-set domain adaptation orthophoto orthophotos registration orthophotos segmentation OUDN algorithm outline extraction pareto ranking pavement markings pixel-wise classification plant disease detection post-disaster precision agriculture remote sensing remote sensing imagery result correction road road extraction SAR satellite satellites scene classification semantic segmentation Sentinel-1 single-shot single-shot multibox detector (SSD) Sinkhorn loss sub-pixel super-resolution synthetic aperture radar text image matching triplet networks two stream residual network U-Net UAV multispectral images Unmanned Aerial Vehicles (UAV) unsupervised segmentation urban forests visibility water identification water index wildfire detection xBD |
| 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 | ||
| Lo trovi qui: Univ. Federico II | ||
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Advanced Operation and Maintenance in Solar Plants, Wind Farms and Microgrids
| Advanced Operation and Maintenance in Solar Plants, Wind Farms and Microgrids |
| Autore | Hernández-Callejo Luis |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (366 p.) |
| Soggetto topico |
Physics
Research & information: general |
| Soggetto non controllato |
adaptive protection
analytical angle swinging artificial intelligence artificial neural network based MPPT bidirectional power inverter Bolomey formula combinatorial optimization compressive strength control system coordination protection corrosion corrosion monitoring coverage path planning (CPP) cross-platform dark I-V curves data-driven deep learning deep learning (DL) defect detection DigSILENT distributed generation distributed power generation efficiency electric generator electromechanical system energy bands expected energy models failure modes simulation fault detection criterion fault diagnosis fault location in photovoltaic arrays faults diagnostic fleet-scale forecasting FPGA glass powder grid frequency oscillations GUI HMI hybrid boost converter I-V curve image segmentation image-processing inertial masses Lambert W-function lasso regression machine learning microgrid microgrids modeling monitoring non-conventional renewable energy offshore wind turbines online distributed measurement of dark I-V curves parameter extraction performance modeling photovoltaic (PV) plants photovoltaic (PV) systems photovoltaic aging photovoltaic module photovoltaic power forecasting photovoltaic resources photovoltaic systems power distribution power plant power system protection primary control renewable energies RNN SCADA semantic segmentation software solar cell solar panel solar power system spacecraft solar panels spectral analysis storage system sustainability sustainable concrete synthetic data thermal image thickness loss ultrasound unbalanced datasets unmanned aerial vehicle (UAV) variational autoencoders visualisation wind power wind turbine wind-turbine windfarm |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910566457603321 |
Hernández-Callejo Luis
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Lo trovi qui: Univ. Federico II | ||
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Advanced Sensing and Image Processing Techniques for Healthcare Applications
| Advanced Sensing and Image Processing Techniques for Healthcare Applications |
| Autore | Abolghasemi Vahid |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (258 p.) |
| Soggetto topico |
Computer science
Information technology industries |
| Soggetto non controllato |
3D body shapes
absorption near infrared age anthropometry arterial hypotension artificial intelligence ataxia auditory discrimination therapy BConvLSTM bladder irrigation monitor blind body weights and measures braille system brain activity brain tissue segmentation bubble detection cell mechanics coherent plane-wave compounding (CPWC) complementary subset transmit (CST) convolutional neural network convolutional neural networks CT image cycle constraint decellularization delay-and-sum (DAS) delay-multiply-and-sum (DMAS) denoising convolutional neural network ECG echo-planar imaging EEG EEG evaluation elasticity measurement EMG essential tremor event-related desynchronization event-related synchronization exercise exercise habit feature engineering feature pyramid network finger-nose-finger test H&E hemoglobin sensor hypotension image processing image registration invasive blood pressure liver lung machine learning magnetic resonance fingerprinting magnetic resonance images mechanical properties multi-branch dense prediction multi-branch output multi-branch pooling multi-scale feature learning multimodal features object detection plane-wave (PW) imaging postpartum period power doppler detection pregnancy period ResNet-34 rigid alignment robotic cell manipulation segmentation self-attention self-supervision semantic segmentation signal coherence T1 and T2* relaxation times tinnitus tissue engineering tremor U-Net viscosity measurement vital sign |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910566486403321 |
Abolghasemi Vahid
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Lo trovi qui: Univ. Federico II | ||
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Advances in Computational Intelligence Applications in the Mining Industry
| Advances in Computational Intelligence Applications in the Mining Industry |
| Autore | Ganguli Rajive |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (324 p.) |
| Soggetto topico |
History of engineering & technology
Technology: general issues |
| Soggetto non controllato |
accidents
artificial intelligence ball mill throughput Bayesian network Bayesian Network Structure Learning (BNSL) bitumen extraction bitumen processability blast impact bluetooth beacon classification and regression tree coal convolutional neural networks damage risk analysis data analytics in mining decision trees digital twin dimensionality reduction discrete event simulation empirical model epithermal gold fragmentation fragmentation size analysis gaussian naïve bayes geological uncertainty geostatistics grinding circuits health and safety management hyperspectral imaging image analysis k-nearest neighbors knowledge discovery macerals machine learning masonry buildings measurement while drilling mine optimization mine safety and health mine worker fatigue mine-to-mill mineral prospectivity mapping minerals processing mining mining equipment uncertainties mining exploitation mining geology modes of operation multispectral imaging multivariate statistics n/a Naive Bayes narratives natural language processing neighbourhood component analysis non-additivity oil sands operational data ore control orebody uncertainty partial least squares regression petrographic analysis point cloud scaling Q-learning random forest random forest algorithm random forest classification random forest model rock type semantic segmentation stockpiles structure from motion support vector machine tactical geometallurgy transport route transport time truck dispatching underground mine unstructured data variable importance |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557613103321 |
Ganguli Rajive
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Lo trovi qui: Univ. Federico II | ||
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Advances in Computer Recognition, Image Processing and Communications, Selected Papers from CORES 2021 and IP&C 2021
| Advances in Computer Recognition, Image Processing and Communications, Selected Papers from CORES 2021 and IP&C 2021 |
| Autore | Choras Michal |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (268 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
pointer instrumentation
image processing object detection K-fold cross-validation Faster-RCNN vein detection digital image processing correlation displacement measurement semantic segmentation farmland vacancy segmentation strip pooling crop growth assessment encoder-decoder monotone curve tangent circle adjacent circle area of location of the curve contour fingerprinting malware analysis malicious network traffic analysis HTTP protocol analysis pcap file analysis malware tracking malware identification graph theory smart meter smart metering wireless sensor network interpolation tangent line curvature error ellipse B-spline dynamic dedicated path protection generic Dijkstra algorithm elastic optical network modulation constraints ECG signal classification PTB-XL deep learning computer vision adversarial attacks adversarial defences image quality assessment stitched images panoramic images image analysis image entropy NetFlow network intrusion detection network behavior analysis data quality feature selection fronthaul Xhaul DSB-RFoF A-RoF B5G 6G DIPP optical channel selection |
| ISBN | 3-0365-5314-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910619471903321 |
Choras Michal
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| MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Lo trovi qui: Univ. Federico II | ||
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Advances in Object and Activity Detection in Remote Sensing Imagery
| Advances in Object and Activity Detection in Remote Sensing Imagery |
| Autore | Ulhaq Anwaar |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (170 p.) |
| Soggetto topico |
History of engineering & technology
Technology: general issues |
| Soggetto non controllato |
3D simulation
adaptive dynamic refined single-stage transformer detector air-to-ground synchronization arbitrary-oriented object detection in satellite optical imagery convolutional neural network (CNN) cross-view matching crowd estimation deep learning deep learning (DL) drone dynamic feature refinement feature pyramid network (FPN) feature pyramid transformer green view index (GVI) habitat identification invasive species multi-camera system multiview semantic vegetation index n/a quad feature pyramid network (Quad-FPN) RGB vegetation index semantic segmentation ship detection similarity algorithm for water extraction space alignment spatiotemporal feature map synthetic aperture radar (SAR) synthetic crowd data thermal imaging tidal flat water UAV-assisted calibration unmanned aerial vehicle urban forestry urban vegetation view-invariant description YOLOv3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910576871603321 |
Ulhaq Anwaar
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Lo trovi qui: Univ. Federico II | ||
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Applications of Computer Vision in Automation and Robotics
| Applications of Computer Vision in Automation and Robotics |
| Autore | Okarma Krzysztof |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (186 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
3D prints
additive manufacturing aerial imagery air nozzles attention augmented reality calibration combined metrics component association computer vision contour point distribution convolutional neural network convolutional neural networks deep learning defect inspection distribution domain adaptation edge gradient direction encoder-decoder feature descriptor feature region feature subset selection fertilizers generative adversarial networks head mounted displays histogram image analysis image processing image registration industrial and robotic vision systems industrial objects infrared pedestrian detection k-NN algorithm machine vision monitoring optical see-through display part recognition recycling semantic segmentation sorting structural similarity surface quality assessment transparent plastic granulate video analysis visual inspection and diagnostics |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557644803321 |
Okarma Krzysztof
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Lo trovi qui: Univ. Federico II | ||
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Artificial Intelligence for Multimedia Signal Processing
| Artificial Intelligence for Multimedia Signal Processing |
| Autore | Kim Byung-Gyu |
| Pubbl/distr/stampa | Basel, : MDPI Books, 2022 |
| Descrizione fisica | 1 electronic resource (212 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
human-height estimation
depth video depth 3D conversion artificial intelligence convolutional neural networks deep neural network convolutional neural network environmental sound recognition feature combination multimodal joint representation content curation social networks different recommend tasks content based recommend systems scene/place classification semantic segmentation deep learning weighting matrix speech enhancement generative adversarial network relativistic GAN lightweight neural network single image super-resolution image enhancement image restoration residual dense networks visual sentiment analysis sentiment classification graph convolutional networks generative adversarial networks traffic surveillance image processing image de-raining fluency evaluation speech recognition data augmentation variational autoencoder speech conversion heartbeat classification convolutional neural network (CNN) canonical correlation analysis (CCA) Indian Sign Language (ISL) natural language processing avatar sign movement context-free grammar object detection logical story unit detection (LSU) object re-ID computer vision image processing single image artifacts reduction dense networks residual networks channel attention networks |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910595077003321 |
Kim Byung-Gyu
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| Basel, : MDPI Books, 2022 | ||
| Lo trovi qui: Univ. Federico II | ||
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