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Advanced Computational Methods for Oncological Image Analysis
| Advanced Computational Methods for Oncological Image Analysis |
| Autore | Rundo Leonardo |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (262 p.) |
| Soggetto topico | Medicine |
| Soggetto non controllato |
melanoma detection
deep learning transfer learning ensemble classification 3D-CNN immunotherapy radiomics self-attention breast imaging microwave imaging image reconstruction segmentation unsupervised machine learning k-means clustering Kolmogorov-Smirnov hypothesis test statistical inference performance metrics contrast source inversion brain tumor segmentation magnetic resonance imaging survey brain MRI image tumor region skull stripping region growing U-Net BRATS dataset incoherent imaging clutter rejection breast cancer detection MRgFUS proton resonance frequency shift temperature variations referenceless thermometry RBF neural networks interferometric optical fibers breast cancer risk assessment machine learning texture mammography medical imaging imaging biomarkers bone scintigraphy prostate cancer semisupervised classification false positives reduction computer-aided detection breast mass mass detection mass segmentation Mask R-CNN dataset partition brain tumor classification shallow machine learning breast cancer diagnosis Wisconsin Breast Cancer Dataset feature selection dimensionality reduction principal component analysis ensemble method |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557353503321 |
Rundo Leonardo
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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 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 |
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Ganguli Rajive
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Algorithms in Decision Support Systems
| Algorithms in Decision Support Systems |
| Autore | García-Díaz Vicente |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (162 p.) |
| Soggetto topico | History of engineering & technology |
| Soggetto non controllato |
semi-supervised learning
transfer learning radar emitter decision support systems population health management big data machine learning deep learning personalized patient care Nonlinear regression interactive platform component-based approach software architecture Eclipse-RCP (Rich Client Platform) spatial prediction rule-based expert systems tennis hitting technique computer algebra systems Groebner bases Boolean logic data envelopment analysis dimensionality reduction ensembles exhaustive state space search entropy associative classification class association rule vertical data representation classification algorithm evaluation parallel algorithms multi-objective optimization train rescheduling very large-scale decision support systems very large-scale data and program cores of information systems meta-database teleological meta-database thematic list indicators list computational methods list geographically dispersed systems external sources |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557109603321 |
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García-Díaz Vicente
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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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Biosensors: 10th Anniversary Feature Papers
| Biosensors: 10th Anniversary Feature Papers |
| Autore | Rocha-Santos Teresa A. P |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (122 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology Materials science |
| Soggetto non controllato |
antioxidants
biosensor nanomaterials vasodilator activity breast cancer screening imaging biomarker deep sparse autoencoder dimensionality reduction deep-learning features Bioassays high performance thin layer chromatography endocrine disrupting compounds fluorescent proteins wastewater electromagnetic piezoelectric acoustic sensor quartz adsorption diagnostics extracellular vesicle dithiocarbamate fungicides chromatography Raman spectroscopy sensors enzyme inhibition voltammetry biosensors tobacco mosaic virus (TMV) capacitive field-effect sensor bi-enzyme biosensor enzyme-logic gate urease penicillinase |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Biosensors |
| Record Nr. | UNINA-9910566471303321 |
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Rocha-Santos Teresa A. P
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Divergence Measures : Mathematical Foundations and Applications in Information-Theoretic and Statistical Problems
| Divergence Measures : Mathematical Foundations and Applications in Information-Theoretic and Statistical Problems |
| Autore | Sason Igal |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (256 p.) |
| Soggetto topico |
Research & information: general
Mathematics & science |
| Soggetto non controllato |
Bregman divergence
f-divergence Jensen-Bregman divergence Jensen diversity Jensen-Shannon divergence capacitory discrimination Jensen-Shannon centroid mixture family information geometry difference of convex (DC) programming conditional Rényi divergence horse betting Kelly gambling Rényi divergence Rényi mutual information relative entropy chi-squared divergence f-divergences method of types large deviations strong data-processing inequalities information contraction maximal correlation Markov chains information inequalities mutual information Rényi entropy Carlson-Levin inequality information measures hypothesis testing total variation skew-divergence convexity Pinsker's inequality Bayes risk statistical divergences minimum divergence estimator maximum likelihood bootstrap conditional limit theorem Bahadur efficiency α-mutual information Augustin-Csiszár mutual information data transmission error exponents dimensionality reduction discriminant analysis statistical inference |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Divergence Measures |
| Record Nr. | UNINA-9910576871103321 |
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Sason Igal
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Emerging and Advanced Green Energy Technologies for Sustainable and Resilient Future Grid
| Emerging and Advanced Green Energy Technologies for Sustainable and Resilient Future Grid |
| Autore | Salkuti Surender Reddy |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (416 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
islanded mode
microgrid decentralized control robust tracking invariant set thermal energy storage parabolic dish latent heat phase change material heat transfer fluid bio-inspired algorithms wireless sensor network genetic algorithm particle swarm optimization advanced metering infrastructure blockchain Ethereum isolated DC-DC converter photovoltaics LLC resonant converter dual-bridge wide voltage range power optimizer coordinated control vehicle-to-grid primary frequency control secondary frequency control state of charge decentralized Simulink model dimensionality reduction simple linear regression multiple linear regression polynomial regression load forecasting VSC (voltage source converter) PLL (Phase-Locked Loop) weak grid small signal stability eigenvalues demand-side management low-power consumer electronic appliances low-voltage distribution system non-intrusive identification of appliance usage patterns power quality smart home true power factor total harmonic distortion renewable energy sources energy management system communication technologies microgrid standards third-order sliding mode control asynchronous generators variable speed dual-rotor wind turbine direct field-oriented control integral-proportional transformer internal fault currents magnetic inrush currents extended Kalman filter (EKF) algorithm harmonic estimation DC microgrid fault cluster DC/DC converter fault current limiter (FCL) multi-objective renewable energy profit-based scheduling Equilibrium Optimizer smart grid campus microgrid batteries prosumer market distributed generation renewable energy resources energy storage system distributed energy resources demand response load clustering techniques sizing methodologies digital signal processing green buildings spectral analysis spectral kurtosis life-cycle cost optimal scheduling reinforcement learning enabling technologies energy community smart meter nanogrid platform power cloud |
| ISBN | 3-0365-5770-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910637792903321 |
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Salkuti Surender Reddy
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Evolutionary Computation 2020
| Evolutionary Computation 2020 |
| Autore | Wang Gai-Ge |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (442 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
global optimization
cuckoo search algorithm Q-learning mutation self-adaptive step size evolutionary computation playtesting game feature game simulation game trees playtesting metric validation Pareto optimality h-index ranking dominance Pareto-front multi-indicators multi-metric multi-resources citation universities ranking swarm intelligence simulated annealing krill herd particle swarm optimization quantum elephant herding optimization engineering optimization metaheuristic constrained optimization multi-objective optimization single objective optimization differential evolution success-history premature convergence turning-based mutation opposition-based learning ant colony optimization opposite path traveling salesman problems whale optimization algorithm WOA binary whale optimization algorithm bWOA-S bWOA-V feature selection classification dimensionality reduction menu planning problem evolutionary algorithm decomposition-based multi-objective optimisation memetic algorithm iterated local search diversity preservation single-objective optimization knapsack problem travelling salesman problem seed schedule many-objective optimization fuzzing bug detection path discovery evolutionary algorithms (EAs) coevolution dynamic learning performance indicators magnetotelluric one-dimensional inversions geoelectric model optimization problem multi-task optimization multi-task evolutionary computation knowledge transfer assortative mating unified search space quantum computing grey wolf optimizer 0-1 knapsack problem green shop scheduling fuzzy hybrid flow shop scheduling discrete artificial bee colony algorithm minimize makespan minimize total energy consumption |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557699203321 |
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Wang Gai-Ge
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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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Intelligent Biosignal Processing in Wearable and Implantable Sensors
| Intelligent Biosignal Processing in Wearable and Implantable Sensors |
| Autore | Costin Hariton-Nicolae |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (318 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
electrocardiogram
deep metric learning k-nearest neighbors classifier premature ventricular contraction dimensionality reduction classifications Laplacian eigenmaps locality preserving projections compressed sensing convolutional neural network EEG epileptic seizure detection RISC-V ultra-low-power sepsis atrial fibrillation prediction heart rate variability feature extraction random forest annotations myoelectric prosthesis sEMG grasp phases analysis grasp classification machine learning electronic nose liver dysfunction cirrhosis semiconductor metal oxide gas sensor vagus nerve intraneural decoding intrafascicular recording carbon nanotube artificial intelligence lens-free shadow imaging technique cell-line analysis cell signal enhancement deep learning ECG signal reconstruction dictionaries projection matrices signal classifications osteopenia sarcopenia XAI SHAP IMU gait analysis sensors convolutional neural networks Parkinson's disease biomedical monitoring accelerometer pressure sensor disease management electromyography correlation high blood pressure hypertension photoplethysmography electrocardiography calibration classification models COVID-19 ECG trace image transfer learning Convolutional Neural Networks (CNN) feature selection sympathetic activity (SNA) skin sympathetic nerve activity (SKNA) electrodes electrocardiogram (ECG) cardiac time interval dynamic time warping fiducial point detection heart failure seismocardiography wearable electroencephalography motor imagery motor execution beta rebound brain-machine interface EEG classification |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910580203203321 |
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Costin Hariton-Nicolae
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Learning to Understand Remote Sensing Images . Volume 2
| Learning to Understand Remote Sensing Images . Volume 2 |
| Autore | Wang Qi |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (363 pages) |
| Soggetto non controllato |
metadata
image classification sensitivity analysis ROI detection residual learning image alignment adaptive convolutional kernels Hough transform class imbalance land surface temperature inundation mapping multiscale representation object-based convolutional neural networks scene classification morphological profiles hyperedge weight estimation hyperparameter sparse representation semantic segmentation vehicle classification flood Landsat imagery target detection multi-sensor building damage detection optimized kernel minimum noise fraction (OKMNF) sea-land segmentation nonlinear classification land use SAR imagery anti-noise transfer network sub-pixel change detection Radon transform segmentation remote sensing image retrieval TensorFlow convolutional neural network particle swarm optimization optical sensors machine learning mixed pixel optical remotely sensed images object-based image analysis very high resolution images single stream optimization ship detection ice concentration online learning manifold ranking dictionary learning urban surface water extraction saliency detection spatial attraction model (SAM) quality assessment Fuzzy-GA decision making system land cover change multi-view canonical correlation analysis ensemble land cover semantic labeling sparse representation dimensionality expansion speckle filters hyperspectral imagery fully convolutional network infrared image Siamese neural network Random Forests (RF) feature matching color matching geostationary satellite remote sensing image change feature analysis road detection deep learning aerial images image segmentation aerial image multi-sensor image matching HJ-1A/B CCD endmember extraction high resolution multi-scale clustering heterogeneous domain adaptation hard classification regional land cover hypergraph learning automatic cluster number determination dilated convolution MSER semi-supervised learning gate Synthetic Aperture Radar (SAR) downscaling conditional random fields urban heat island hyperspectral image remote sensing image correction skip connection ISPRS spatial distribution geo-referencing Support Vector Machine (SVM) very high resolution (VHR) satellite image classification ensemble learning synthetic aperture radar conservation convolutional neural network (CNN) THEOS visible light and infrared integrated camera vehicle localization structured sparsity texture analysis DSFATN CNN image registration UAV unsupervised classification SVMs SAR image fuzzy neural network dimensionality reduction GeoEye-1 feature extraction sub-pixel energy distribution optimizing saliency analysis deep convolutional neural networks sparse and low-rank graph hyperspectral remote sensing tensor low-rank approximation optimal transport SELF spatiotemporal context learning Modest AdaBoost topic modelling multi-seasonal Segment-Tree Filtering locality information GF-4 PMS image fusion wavelet transform hashing machine learning techniques satellite images climate change road segmentation remote sensing tensor sparse decomposition Convolutional Neural Network (CNN) multi-task learning deep salient feature speckle canonical correlation weighted voting fully convolutional network (FCN) despeckling multispectral imagery ratio images linear spectral unmixing hyperspectral image classification multispectral images high resolution image multi-objective convolution neural network transfer learning 1-dimensional (1-D) threshold stability Landsat kernel method phase congruency subpixel mapping (SPM) tensor MODIS GSHHG database compressive sensing |
| ISBN | 3-03897-699-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910367755503321 |
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Wang Qi
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Learning to Understand Remote Sensing Images . Volume 1
| Learning to Understand Remote Sensing Images . Volume 1 |
| Autore | Wang Qi |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (414 pages) |
| Soggetto non controllato |
metadata
image classification sensitivity analysis ROI detection residual learning image alignment adaptive convolutional kernels Hough transform class imbalance land surface temperature inundation mapping multiscale representation object-based convolutional neural networks scene classification morphological profiles hyperedge weight estimation hyperparameter sparse representation semantic segmentation vehicle classification flood Landsat imagery target detection multi-sensor building damage detection optimized kernel minimum noise fraction (OKMNF) sea-land segmentation nonlinear classification land use SAR imagery anti-noise transfer network sub-pixel change detection Radon transform segmentation remote sensing image retrieval TensorFlow convolutional neural network particle swarm optimization optical sensors machine learning mixed pixel optical remotely sensed images object-based image analysis very high resolution images single stream optimization ship detection ice concentration online learning manifold ranking dictionary learning urban surface water extraction saliency detection spatial attraction model (SAM) quality assessment Fuzzy-GA decision making system land cover change multi-view canonical correlation analysis ensemble land cover semantic labeling sparse representation dimensionality expansion speckle filters hyperspectral imagery fully convolutional network infrared image Siamese neural network Random Forests (RF) feature matching color matching geostationary satellite remote sensing image change feature analysis road detection deep learning aerial images image segmentation aerial image multi-sensor image matching HJ-1A/B CCD endmember extraction high resolution multi-scale clustering heterogeneous domain adaptation hard classification regional land cover hypergraph learning automatic cluster number determination dilated convolution MSER semi-supervised learning gate Synthetic Aperture Radar (SAR) downscaling conditional random fields urban heat island hyperspectral image remote sensing image correction skip connection ISPRS spatial distribution geo-referencing Support Vector Machine (SVM) very high resolution (VHR) satellite image classification ensemble learning synthetic aperture radar conservation convolutional neural network (CNN) THEOS visible light and infrared integrated camera vehicle localization structured sparsity texture analysis DSFATN CNN image registration UAV unsupervised classification SVMs SAR image fuzzy neural network dimensionality reduction GeoEye-1 feature extraction sub-pixel energy distribution optimizing saliency analysis deep convolutional neural networks sparse and low-rank graph hyperspectral remote sensing tensor low-rank approximation optimal transport SELF spatiotemporal context learning Modest AdaBoost topic modelling multi-seasonal Segment-Tree Filtering locality information GF-4 PMS image fusion wavelet transform hashing machine learning techniques satellite images climate change road segmentation remote sensing tensor sparse decomposition Convolutional Neural Network (CNN) multi-task learning deep salient feature speckle canonical correlation weighted voting fully convolutional network (FCN) despeckling multispectral imagery ratio images linear spectral unmixing hyperspectral image classification multispectral images high resolution image multi-objective convolution neural network transfer learning 1-dimensional (1-D) threshold stability Landsat kernel method phase congruency subpixel mapping (SPM) tensor MODIS GSHHG database compressive sensing |
| ISBN | 3-03897-685-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910367755603321 |
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Wang Qi
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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