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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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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 and Sensing for Technical Condition Assessment and NDT
| Advances in Sensors and Sensing for Technical Condition Assessment and NDT |
| Autore | Boczar Tomasz |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (216 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
3D sensing
acoustic emission AE sensor attenuation boundary conditions circuit modeling coefficient of thermal expansion compounding Nakagami imaging contrast-enhanced ultrasound current measurement defect identification eddy current elastic waves electrodynamic accelerators feature extraction Fizeau fiber interferometer frequency analysis genetic algorithm geometric layout of railway track GNSS mobile measurements high-current pulses high-current shunts image processing incubation infrasound correlation analysis infrasound measurement system insulation inverse problem knee joint laser ultrasound lateral temperature gradient low-frequency noise low-frequency sensor machine learning measuring scale muscle perfusion n/a Nakagami parameter neural network non-destructive evaluation non-invasive examination OLTC power transformer principal component analysis pulse compression ROC curve Rogowski coil route's polygon scattering solar radiation intensity spectral features spectrum supervised classification temperature field temperature monitoring thermoelastic deformation track axis identification tramway loop ultrasonic testing VAG vibroarthography wavelet transform wind turbine |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557471903321 |
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Boczar Tomasz
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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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AI Applications to Power Systems
| AI Applications to Power Systems |
| Autore | Tjing Lie Tek |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (156 p.) |
| Soggetto topico |
History of engineering & technology
Technology: general issues |
| Soggetto non controllato |
artificial neural networks
automatic P2P energy trading cellular computational networks change detection contingency data analytics data mining deep Q-network deep reinforcement learning dynamic mode decomposition event detection feature extraction filtering fuzzy system inter-area oscillations load flow prediction long short-term delayed reward machine learning machine-learning manta ray foraging optimization algorithm Markov decision process modal analysis multi-objective function n/a optimal power flow optimization optimization techniques power quality radial networks reduced order modeling self-healing grid signal processing situation awareness steady-state security assessment total variation smoothing |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910566478903321 |
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Tjing Lie Tek
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Applications of Computational Intelligence to Power Systems
| Applications of Computational Intelligence to Power Systems |
| Autore | Kodogiannis Vassilis S |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 online resource (116 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
active distribution system
boiler load constraints CNN combined economic emission/environmental dispatch Combustion efficiency defect detection differential evolution algorithm economic load dispatch electricity load forecasting emission dispatch feature extraction genetic algorithm genetic algorithm (GA) glass insulator grid observability incipient cable failure inertia weight least square support vector machine localization long short term memory (LSTM) meter allocation model predictive control multivariate time series NOx emissions constraints parameter estimation particle swarm optimization particle update mode penalty factor approach reactive power optimization self-shattering short term load forecasting (STLF) spatial features VMD |
| ISBN | 3-03921-761-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910367747103321 |
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Kodogiannis Vassilis S
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Applied Mathematics and Computational Physics
| Applied Mathematics and Computational Physics |
| Autore | Wood Aihua |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (273 p.) |
| Soggetto topico |
Mathematics & science
Research & information: general |
| Soggetto non controllato |
annular regime
anomaly detection artificial intelligence Boltzmann equation chaotic oscillator collision integral complex regions computer arithmetic conservation constricted channel convergence convolutional neural network convolutional neural networks (CNN) data assimilation deep learning dual energy technique dual solutions feature extraction finite difference method finite difference methods finite element analysis finite elements analysis finite-difference methods flow pulsation parameter FPGA Gallium-Arsenide (GaAs) genetic algorithms heat transfer high dimensional data high strain rate impact hybrid nanofluid lebesgue constant machine learning metaheuristic optimization MHD MHD pulsatile flow micropolar fluid model order reduction modeling and simulation multi-step method multilayer perceptrons multiple integral finite volume method neural networks node sampling non-isothermal non-uniform grids one-step method petroleum pipeline prescribed heat flux principal component analysis (PCA) quaternion neural networks radial basis functions radiation radiation-based flowmeter RBF-FD Rosenau-KdV scale layer-independent shrinking surface similarity solutions smoothed particle hydrodynamics solvability stability analysis strouhal number time domain transmission electron microscopy (TEM) traveling waves two-phase flow volume fraction welding |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557337303321 |
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Wood Aihua
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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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Artificial Intelligence for Smart and Sustainable Energy Systems and Applications
| Artificial Intelligence for Smart and Sustainable Energy Systems and Applications |
| Autore | Lytras Miltiadis |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (258 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
ambient assisted living
artificial intelligence artificial neural network artificial neural networks CNN computational intelligence conditional random fields decision tree deep learning demand response demand side management distributed genetic algorithm drill-in fluid ELR energy energy disaggregation energy efficient coverage energy management ERELM Faster R-CNN feature extraction forecasting genetic algorithm home energy management home energy management systems insulator internet of things Jetson TX2 load load disaggregation LR LSTM machine learning Marsh funnel MCP39F511 mud rheology multiple kernel learning NILM non-intrusive load monitoring nonintrusive load monitoring object detection optimization algorithms plastic viscosity policy making price RELM RPN sandstone reservoirs scheduling self-adaptive differential evolution algorithm sensor network smart cities smart city smart grid smart grids smart metering smart villages static young's modulus support vector machine sustainable development transient signature wireless sensor networks yield point |
| ISBN | 3-03928-890-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910404078103321 |
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Lytras Miltiadis
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| MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Computational Intelligence in Healthcare
| Computational Intelligence in Healthcare |
| Autore | Castellano Giovanna |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (226 p.) |
| Soggetto topico | Information technology industries |
| Soggetto non controllato |
1D pooling
Alzheimer's disease artificial neural network body area network classification clustering computational intelligence convolutional neural network CRISPR cross pooling decision support systems deep learning diabetic retinopathy (DR) diffusion tensor imaging e-health early detection electrocardiogram ensemble learning evaluation metrics everyday walking fault data elimination feature extraction fuzzy inference systems gait analysis gait phase genetic algorithms health off health status detection health status prediction healthcare IMU Internet of Medical Things interpretable models leukemia nucleus image long-term monitoring machine learning machine learning algorithm medical diagnosis medical informatics MIMU multi-modal deep features multi-sensor multi-unit multiple imputation by chained equations multistage support vector machine model n/a neural networks next-generation sequencing ovarian cancer physionet challenge pre-trained deep ConvNet Premature ventricular contraction segmentation sEMG sepsis soft computing soft covering rough set Softmax regression sparse autoencoder SVM-based recursive feature elimination time synchronization transfer learning Tri-Fog Health System uni-modal deep features unipolar depression unsupervised learning |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910674044803321 |
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Castellano Giovanna
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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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Data Analytics and Applications of the Wearable Sensors in Healthcare
| Data Analytics and Applications of the Wearable Sensors in Healthcare |
| Autore | Syed Abdul Shabbir |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (498 p.) |
| Soggetto topico |
Humanities
Social interaction |
| Soggetto non controllato |
accelerometer
accelerometers accidental falls actigraph actigraphy action research arm test activities of daily living activity monitoring activity recognition and monitoring artificial intelligence behaviour analysis biofeedback biomedical signal processing biomedical technology bispectrum body worn sensors calibration cameras citizen science classifier efficiency classifier optimization clothing sensors cluster analysis conductive gels cross correlation analysis data compression deep learning denoising disease prevention edge computing eHealth electrocardiogram embedded system encoding energy expenditure entropy exercise experiment exercise intervention exercise therapy fall detection feature extraction feature selection filtering algorithm free-living frequency-domain features functional decline Gaussian mixture model GENEactiv accelerometer genetic algorithm GIS GPS gyroscope health healthcare healthcare movement sensing heart failure (HF) heart rate heart rate variability heat stroke hemodialysis hidden Markov model human activity recognition human factors human movement impedance pneumography inertial measurement unit inertial measurement units integration IoT IoT wearable monitor latent features left ventricular ejection fraction (LVEF) longitudinal study LSTM machine learning machine learning for real-time applications magnetometer mechanocardiogram (MCG) MIMU mobile health monitoring motion motion sensors multivariate analysis musculoskeletal disorders myocardial ischemia n/a neural network non-contact sensor non-wearable sensors noncontact electrode occupational healthcare one-class classification optoelectronic plethysmography orientation-invariant sensing orthopedics P-Ergonomics pacemaker patient health and state monitoring pattern classification performance measures personal risk detection physical activity physical activity classification physical activity type physical workload physiological parameters posture analysis precision ergonomics predictive analytics principal component analysis probabilistic inference qualitative real-life real-world recurrent neural networks respiration rate respiratory monitoring sedentary behavior services signal analysis signal processing skill assessment smart clothes smart textiles spinal posture state space model supervised machine learning talking detection technology acceptance model (TAM) Telemedicine time-domain features upper extremity ventricular premature contraction walking wavelets wearable wearable biomedical sensors wearable device wearable devices wearable sensing wearable sensor wearable sensors wearable systems for healthcare wearables wellbeing at work wireless sensor network |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557288603321 |
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Syed Abdul Shabbir
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Data Science and Knowledge Discovery
| Data Science and Knowledge Discovery |
| Autore | Portela Filipe |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (254 p.) |
| Soggetto topico |
Computer science
Information technology industries |
| Soggetto non controllato |
activity recognition
adaptation process ArcGIS artificial intelligence attribution authorship automation big data Big Data box-counting framework chatbots classification content base image retrieval COVID-19 crisis reporting customer relationship management (CRM) dashboard data analysis data analytics data augmentation data mining data science databases decision systems deep features deep learning digital humanities digital infrastructures distracted driving driving behavior driving operation area e-commerce economic determinants of open data ESP32 microcontroller feature extraction forensic intelligence fractal dimension geoinformation technology governance and social institutions humanities ICT information systems interdisciplinary research internet of things ioCOVID19 journalists linked open data LoRaWAN machine learning media analytics media criticism multimedia document retrieval n/a neural networks news media open government data prediction by partial matching public health rough sets rule based systems SARS-CoV-2 script Python semantic information retrieval smart homes social sciences spatio-temporal territorial road network text mining textbook research The Things Network Web Intelligence WebGIS |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910576878103321 |
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Portela Filipe
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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