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Additive Manufacturing Research and Applications
| Additive Manufacturing Research and Applications |
| Autore | Ertas Atila |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (338 p.) |
| Soggetto topico |
History of engineering & technology
Technology: general issues |
| Soggetto non controllato |
316L
316l ss 3D printing additive manufacturing aluminum alloy binder jetting biomaterial coating convolutional neural network corrosion cost analysis cranial reconstruction customized customized implant deep neural network design for additive manufacturing design for additive manufacturing services dimples direct laser deposition discrete element method (DEM) drag reduction electron beam melting extremity fatigue fitting accuracy flowability GMA additive manufacturing Hausner ratio heat exchanger implant Inconel 625 key performance indicators laser additive manufacturing laser directed energy deposition laser powder bed fusion laser powder bed fusion (LPBF) limb salvage surgery machine learning magnesium alloys mechanical properties metal powders microhardness microstructure multi-layer perceptron n/a neural network nickel alloy parametrisation part density particle morphology particle size distribution plasma metal deposition porosity powder powder layer density powder metallurgy powder spreading powder-bed additive manufacturing (AM) preheating pressure drop process modelling processing conditions properties recycled revision rough surface sand casting selective laser melting selective laser melting (SLM) simulated body fluid spreading process map surface textures thin wall manufacturing TiC-TMC titanium topology optimization tribological behavior ultrasonic testing ultrasonic vibration virgin visual features weld reinforcement |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910576882303321 |
Ertas Atila
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| 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 |
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Woźniak Marcin
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| 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 |
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Bazi Yakoub
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advanced Process Monitoring for Industry 4.0
| Advanced Process Monitoring for Industry 4.0 |
| Autore | Reis Marco S |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (288 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
artificial generation of variability
auto machine learning classification combustion condition monitoring construction industry continuous casting control chart pattern convolutional neural network curve resolution data augmentation data mining data reconciliation decision support systems digital processing discriminant analysis disruption management disruptions expert systems failure mode and effects analysis (FMEA) failure mode effects analysis fault detection fault diagnosis high-dimensional data imbalanced data Industry 4.0 latent variables models load identification membrane monitoring multi-mode model multi-phase residual recursive model multiscale multivariate data analysis n/a neural networks non-intrusive load monitoring online optical sensors OPTICS pasting process PCA plaster production PLS principal component analysis process control process image process monitoring quality control quality prediction real-time risk priority number rolling bearing semiconductor manufacturing signal detection Six Sigma spatial-temporal data spectroscopy measurements statistical process control statistical process monitoring time series classification yield improvement |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557491503321 |
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Reis Marco S
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| 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 |
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Abolghasemi Vahid
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advanced Techniques and Efficiency Assessment of Mechanical Processing
| Advanced Techniques and Efficiency Assessment of Mechanical Processing |
| Autore | Saramak Daniel |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (128 p.) |
| Soggetto topico |
History of engineering and technology
Technology: general issues |
| Soggetto non controllato |
aggregates
approximation of particle size belt ore measurement brittle materials comminution contour detection convolutional neural network copper ore DEM diagnostics Dual-Energy X-ray Transmission (DE-XRT) enrichment flotation flotation agents HPGR image processing jig beneficiation JKR model kinetic energy lithology mineral processing movement characteristics n/a OpenCV particle size particle size distribution particle velocity polymetallic predictive maintenance raw materials separation separation performance sieving screen spatial distribution sulphide taxonomic methods uniaxial compression vibrating flip-flow screen wavelet transformation wet stick material |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557621603321 |
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Saramak Daniel
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advances in Automated Driving Systems
| Advances in Automated Driving Systems |
| Autore | Eichberger Arno |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (294 p.) |
| Soggetto topico |
History of engineering & technology
Technology: general issues |
| Soggetto non controllato |
acceptance
adaptive control adaptive cruise control ADAS advanced driver assistant systems (ADAS) automated driving automated driving (AD) automated driving systems automation autonomous conflict management autonomous drifting autonomous vehicles calibration method connected and automated vehicle convolutional neural network cooperative perception decomposition deep learning digital twin driver assistance system driver drowsiness driving school driving simulator ECG signal edge cloud expression of trust fault tree analysis framework development ground truth heart rate variability illumination informed machine learning instance segmentation inverse gamma correction ITS lane detection Mask R-CNN model predictive control (MPC) modular safety approval modular testing multi-layer perceptron n/a NASA TLX pedestrian custom dataset physical perception model physics-guided reinforcement learning radar sensor reference measurement safety safety validation scenario-based testing sensor fusion simulation simulation and modeling simulation and modelling simulator case study software framework state prediction successive linearization system usability scale throttle prediction traffic evaluation traffic sign recognition system traffic signs transfer learning U-Space UAV UGV UTM varying road surfaces vehicle dynamics vehicle motion control virtual sensor model virtual test and validation virtual validation wavelet scalogram wheel loaders |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910580214003321 |
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Eichberger Arno
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advances in Hyperspectral Data Exploitation
| Advances in Hyperspectral Data Exploitation |
| Autore | Chang Chein-I |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (434 p.) |
| Soggetto topico |
History of engineering & technology
Technology: general issues |
| Soggetto non controllato |
air temperature
anomaly detection atmospheric transmittance attention mechanism band selection band selection (BS) boundary-aware constraint carbon dioxide absorption change detection channel augmented attention classification coffee beans color formation models constrained energy minimization (CEM) constrained sparse representation constrained-target optimal index factor band selection (CTOIFBS) constraint representation convolutional neural network data augmentation data fusion deep convolutional neural networks deep learning denoising emissivity evolutionary computation FTIR fused features generative adversarial network heuristic algorithms hyperspectral hyperspectral image hyperspectral image classification hyperspectral image few-shot classification hyperspectral image super-resolution hyperspectral imagery hyperspectral imagery classification hyperspectral images hyperspectral imaging hyperspectral imaging (HSI) hyperspectral imaging data hyperspectral reconstruction hyperspectral remote sensing hyperspectral target detection hyperspectral unmixing image classification image fusion insect damage joint tensor decomposition least square estimation lightweight convolutional neural networks machine learning meta-learning midwave infrared mine environment moving target detection multi-source image fusion multiscale decision fusion multispectral image MWIR nonlinear unmixing plug-and-play relation network residual augmented attentional u-shape network rice rice leaf blast rice leaf folder self-supervised learning self-supervised training separation SFIM spatial augmented attention spatial filter spatial measurement spatio-temporal processing spectral reconstruction spectral-spatial residual network superpixel segmentation target detection temperature transfer learning underwater hyperspectral target detection underwater spectral imaging system unmanned aerial vehicles (UAVs) upland swamps vegetation vegetation mapping visualization |
| ISBN | 3-0365-5796-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910637782203321 |
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Chang Chein-I
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advances in Image Processing, Analysis and Recognition Technology
| Advances in Image Processing, Analysis and Recognition Technology |
| Autore | Frejlichowski Dariusz |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (386 p.) |
| Soggetto topico |
Computer science
Information technology industries |
| Soggetto non controllato |
action recognition
active ageing affine motion compensation ambient assisted living artificial intelligence atmospheric-light estimation attention automatic cell segmentation balanced sampling bi-histogram equalization bilingual scene text reading block-based coding BOF CIELab classification classification accuracy coal coarse-to-fine search strategy coke component Substitution compressed sensing contrast ratio convolution neural network (CNN) convolutional neural network convolutional neural networks cyclical learning rates dark channel deep learning deep transfer learning dental application details preservation detection DPCNN Ethiopic script feature extraction fine-tuning frame Gene Expression Programming (GEP) gradient H.265/HEVC handwritten digit recognition haze removal historical document analysis homography matrix identification IKONOS image analysis image fusion image preclassification image processing image quality image registration images inertinite macerals intensity correction iron ore label smoothing learning rate scheduler local dimming local homography transformation magnitude motion moving direct linear transformation multi-scale sampling multifractal analysis n/a nasal cytology neural networks numeral spotting object detection octave convolution optical Pan sharpening pansharpening parseval frame plant recognition Pléiades VHR Image reactivity remote sensing retinex theory RGB-D rhinology RIP saliency salient object detection Satellite Pour l'Observation de la Terre (SPOT) 6 segmentation shape context shape features silhouette sequences sinter small object sparse dictionary sparse representation spatial consistency spectral consistency spectrum correction stable recovery structure super-resolution (SR) support vector machine suspicious behavior detection synthesis texture tradeoff process transform video coding |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910576879103321 |
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Frejlichowski Dariusz
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advances in Sensors, Big Data and Machine Learning in Intelligent Animal Farming
| Advances in Sensors, Big Data and Machine Learning in Intelligent Animal Farming |
| Autore | Qiao Yongliang |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (228 p.) |
| Soggetto topico |
History of engineering & technology
Technology: general issues |
| Soggetto non controllato |
absorbing Markov chain
additive manufacturing animal behaviour animal farming animal science animal telemetry animal-centered design audio automated medical image processing body size cascaded model class-balanced focal loss commercial aviary computational ethology computer vision convolutional neural network cow cow behavior analysis cow identification CT scans dairy cow dairy welfare deep learning deep neural network design contributions EfficientDet equine behavior estimation extensive livestock false registrations forage management generative adversarial network group-housed pigs hierarchical clustering instance segmentation intermodality interaction jaw movement laying hens low-frequency tracking machine learning mask scoring R-CNN mastication modularity monitoring mutual information parturition prediction pig identification pig weight precision livestock farming precision livestock management prediction of calving time radar sensors radar signal processing sensorized wearable device signal classification smart collar soft-NMS time budgets tree-based classifier unsupervised machine learning wavelet analysis wearable sensor wearables design YOLACT++ |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910576879803321 |
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Qiao Yongliang
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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