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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 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Statistical Analysis and Stochastic Modelling of Hydrological Extremes / Hossein Tabari
| Statistical Analysis and Stochastic Modelling of Hydrological Extremes / Hossein Tabari |
| Autore | Tabari Hossein |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (294 p.) |
| Soggetto topico | Meteorology & climatology |
| Soggetto non controllato |
artificial neural network
downscaling innovative methods reservoir inflow forecasting simulation extreme events climate variability sparse monitoring network weighted mean analogue sampling errors precipitation drought indices discrete wavelet SWSI hyetograph trends climate change SIAP Kabul river basin Hurst exponent extreme rainfall evolutionary strategy the Cauca River hydrological drought global warming least square support vector regression polynomial normal transform TRMM satellite data Fiji heavy storm flood regime compound events random forest uncertainty seasonal climate forecast INDC pledge Pakistan wavelet artificial neural network HBV model temperature APCC Multi-Model Ensemble meteorological drought flow regime high resolution rainfall clausius-clapeyron scaling statistical downscaling ENSO forecasting variation analogue machine learning extreme rainfall analysis hydrological extremes multivariate modeling monsoon non-stationary support vector machine ANN model stretched Gaussian distribution drought prediction non-normality statistical analysis extreme precipitation exposure drought analysis extreme value theory streamflow flood management |
| ISBN |
9783039216659
3039216651 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910367749703321 |
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Tabari Hossein
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Stochastic Processes: Theory and Applications
| Stochastic Processes: Theory and Applications |
| Autore | Korolev Victor |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 online resource (216 p.) |
| Soggetto non controllato |
asymptotic approximation
Cauchy problem closed-form solution compound poisson insurance risk model compound Poisson risk model cumulative inaccuracy Dickson-Hipp operator discrete-time Geo/D/1 queue equity-linked death benefits estimation expected discounted penalty function extreme order statistics Fourier cosine series expansion Fourier transform Fourier-cosine series generalized Gerber-Shiu discounted penalty function guaranteed minimum death benefit impatience inhomogeneous continuous-time Markov chain Koksma-Hlawka inequality Laplace transform Lévy process limiting characteristics lower record values markovian arrival process Markovian arrival process Markovian queueing models matrix-geometric solution measure of information Monte Carlo method multi-class arrival processes multidimensional birth-death process mutual information non-stationary Nonparametric threshold estimation one dimensional projection option parabolic equation phase-type service time distribution processor heating and cooling product form Quasi-Birth-and-Death process quasi-Monte Carlo method quasi-random sequences queueing systems queuing network random sample size rate of convergence recursive formula retrials state-dependent marked Markovian arrival process stochastic processes survival probability testing statistical hypotheses time-dependent queue-length probability total precipitation volume truncated distribution unbiased estimator valuation von-Neumann-Ulam scheme wet periods Wiener-Poisson risk model wireless telecommunication networks |
| ISBN | 3-03921-963-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Stochastic Processes |
| Record Nr. | UNINA-9910367737703321 |
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Korolev Victor
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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