Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
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 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
|
||
| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
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 electronic resource (454 p.) |
| Soggetto topico | Information technology industries |
| Soggetto non controllato |
Traffic sign detection and tracking (TSDR)
advanced driver assistance system (ADAS) computer vision 3D convolutional neural networks machine learning CT brain brain hemorrhage visual inspection one-class classifier grow-when-required neural network evolving connectionist systems automatic design bio-inspired techniques artificial bee colony image analysis feature extraction ship classification marine systems citrus pests and diseases identification convolutional neural network parameter efficiency vehicle detection YOLOv2 focal loss anchor box multi-scale deep learning neural network generative adversarial network synthetic images tool wear monitoring superalloy tool image recognition object detection UAV imagery vehicular traffic flow detection vehicular traffic flow classification vehicular traffic congestion video classification benchmark semantic segmentation atrous convolution spatial pooling ship radiated noise underwater acoustics surface electromyography (sEMG) convolution neural networks (CNNs) hand gesture recognition fabric defect mixed kernels cross-scale cascaded center-ness deformable localization continuous casting surface defects 3D imaging defect detection object detector object tracking activity measure Yolo deep sort Hungarian algorithm optical flows spatiotemporal interest points sports scene CT images convolutional neural networks hepatic cancer visual question answering three-dimensional (3D) vision reinforcement learning human-robot interaction few shot learning SVM CNN cascade classifier video surveillance RFI artefacts InSAR image processing pixel convolution thresholding nearest neighbor filtering data acquisition augmented reality pose estimation industrial environments information retriever sensor multi-hop reasoning evidence chains complex search request high-speed trains hunting non-stationary feature fusion multi-sensor fusion unmanned aerial vehicles drone detection UAV detection visual detection |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557360703321 |
|
Woźniak Marcin
|
||
| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
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 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
|
||
| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
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 electronic resource (366 p.) |
| Soggetto topico |
Research & information: general
Physics |
| Soggetto non controllato |
wind turbine
electric generator spectral analysis fault diagnosis photovoltaic power forecasting data-driven deep learning variational autoencoders RNN angle swinging grid frequency oscillations electromechanical system inertial masses microgrids coordination protection distributed generation photovoltaic resources DigSILENT photovoltaic module defect detection power plant efficiency thermal image photovoltaic aging dark I-V curves bidirectional power inverter online distributed measurement of dark I-V curves sustainability compressive strength Bolomey formula sustainable concrete glass powder solar cell solar panel parameter extraction analytical Lambert W-function spacecraft solar panels I-V curve modeling wind power non-conventional renewable energy forecasting energy bands combinatorial optimization deep learning (DL) unmanned aerial vehicle (UAV) photovoltaic (PV) systems image-processing image segmentation semantic segmentation faults diagnostic artificial intelligence unbalanced datasets synthetic data artificial neural network based MPPT hybrid boost converter renewable energies solar power system microgrid control system storage system primary control photovoltaic (PV) plants coverage path planning (CPP) corrosion monitoring FPGA offshore wind turbines ultrasound thickness loss SCADA visualisation software wind-turbine windfarm cross-platform HMI GUI corrosion monitoring photovoltaic systems expected energy models fleet-scale lasso regression performance modeling machine learning fault location in photovoltaic arrays failure modes simulation fault detection criterion adaptive protection distributed power generation power distribution power system protection |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910566457603321 |
|
Hernández-Callejo Luis
|
||
| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
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 electronic resource (258 p.) |
| Soggetto topico |
Information technology industries
Computer science |
| Soggetto non controllato |
tremor
essential tremor ataxia finger–nose–finger test H&E decellularization liver tissue engineering semantic segmentation convolutional neural networks segmentation lung CT image U-Net ResNet-34 BConvLSTM magnetic resonance images brain tissue segmentation multi-scale feature learning multi-branch pooling multi-branch dense prediction multi-branch output delay-and-sum (DAS) delay-multiply-and-sum (DMAS) signal coherence power doppler detection plane-wave (PW) imaging complementary subset transmit (CST) coherent plane-wave compounding (CPWC) robotic cell manipulation mechanical properties elasticity measurement viscosity measurement cell mechanics hemoglobin sensor bladder irrigation monitor absorption near infrared artificial intelligence bubble detection exercise EEG EMG ECG brain activity age exercise habit tinnitus auditory discrimination therapy EEG evaluation event-related synchronization event-related desynchronization convolutional neural network image registration cycle constraint multimodal features self-supervision rigid alignment magnetic resonance fingerprinting echo-planar imaging T1 and T2* relaxation times denoising convolutional neural network self-attention feature pyramid network image processing object detection blind braille system 3D body shapes body weights and measures postpartum period pregnancy period anthropometry machine learning vital sign invasive blood pressure feature engineering hypotension arterial hypotension |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910566486403321 |
|
Abolghasemi Vahid
|
||
| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
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 electronic resource (324 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
truck dispatching
mining equipment uncertainties orebody uncertainty discrete event simulation Q-learning grinding circuits minerals processing random forest decision trees machine learning knowledge discovery variable importance mineral prospectivity mapping random forest algorithm epithermal gold unstructured data blast impact empirical model mining fragmentation mine worker fatigue random forest model health and safety management stockpiles operational data mine-to-mill geostatistics ore control mine optimization digital twin modes of operation geological uncertainty multivariate statistics partial least squares regression oil sands bitumen extraction bitumen processability mine safety and health accidents narratives natural language processing random forest classification hyperspectral imaging multispectral imaging dimensionality reduction neighbourhood component analysis artificial intelligence mining exploitation masonry buildings damage risk analysis Bayesian network Naive Bayes Bayesian Network Structure Learning (BNSL) rock type mining geology bluetooth beacon classification and regression tree gaussian naïve bayes k-nearest neighbors support vector machine transport route transport time underground mine tactical geometallurgy data analytics in mining ball mill throughput measurement while drilling non-additivity coal petrographic analysis macerals image analysis semantic segmentation convolutional neural networks point cloud scaling fragmentation size analysis structure from motion |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557613103321 |
|
Ganguli Rajive
|
||
| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
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
|
||
| MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
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 electronic resource (170 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
multi-camera system
space alignment UAV-assisted calibration cross-view matching spatiotemporal feature map view-invariant description air-to-ground synchronization tidal flat water YOLOv3 similarity algorithm for water extraction arbitrary-oriented object detection in satellite optical imagery adaptive dynamic refined single-stage transformer detector feature pyramid transformer dynamic feature refinement synthetic aperture radar (SAR) ship detection convolutional neural network (CNN) deep learning (DL) feature pyramid network (FPN) quad feature pyramid network (Quad-FPN) crowd estimation 3D simulation unmanned aerial vehicle synthetic crowd data invasive species thermal imaging habitat identification deep learning drone multiview semantic vegetation index urban forestry green view index (GVI) semantic segmentation urban vegetation RGB vegetation index |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910576871603321 |
|
Ulhaq Anwaar
|
||
| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
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 electronic resource (186 p.) |
| Soggetto topico | History of engineering & technology |
| Soggetto non controllato |
machine vision
defect inspection image registration feature region contour point distribution edge gradient direction augmented reality calibration head mounted displays optical see-through display computer vision infrared pedestrian detection encoder-decoder attention convolutional neural network deep learning domain adaptation semantic segmentation generative adversarial networks convolutional neural networks aerial imagery image processing fertilizers distribution monitoring component association part recognition feature descriptor histogram feature subset selection industrial objects sorting k-NN algorithm transparent plastic granulate recycling air nozzles additive manufacturing 3D prints surface quality assessment image analysis combined metrics structural similarity video analysis visual inspection and diagnostics industrial and robotic vision systems |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557644803321 |
|
Okarma Krzysztof
|
||
| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
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
|
||
| Basel, : MDPI Books, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
