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.
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 online resource (262 p.) |
| Soggetto topico | Medicine and Nursing |
| Soggetto non controllato |
3D-CNN
bone scintigraphy brain MRI image brain tumor brain tumor segmentation BRATS dataset breast cancer breast cancer detection breast cancer diagnosis breast imaging breast mass classification clutter rejection computer-aided detection contrast source inversion dataset partition deep learning dimensionality reduction ensemble classification ensemble method false positives reduction feature selection image reconstruction imaging biomarkers immunotherapy incoherent imaging interferometric optical fibers k-means clustering Kolmogorov-Smirnov hypothesis test machine learning magnetic resonance imaging mammography Mask R-CNN mass detection mass segmentation medical imaging melanoma detection microwave imaging MRgFUS n/a performance metrics principal component analysis prostate cancer proton resonance frequency shift radiomics RBF neural networks referenceless thermometry region growing risk assessment segmentation self-attention semisupervised classification shallow machine learning skull stripping statistical inference survey temperature variations texture transfer learning tumor region U-Net unsupervised machine learning Wisconsin Breast Cancer Dataset |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557353503321 |
Rundo Leonardo
|
||
| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| 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 online resource (324 p.) |
| Soggetto topico |
History of engineering & technology
Technology: general issues |
| Soggetto non controllato |
accidents
artificial intelligence ball mill throughput Bayesian network Bayesian Network Structure Learning (BNSL) bitumen extraction bitumen processability blast impact bluetooth beacon classification and regression tree coal convolutional neural networks damage risk analysis data analytics in mining decision trees digital twin dimensionality reduction discrete event simulation empirical model epithermal gold fragmentation fragmentation size analysis gaussian naïve bayes geological uncertainty geostatistics grinding circuits health and safety management hyperspectral imaging image analysis k-nearest neighbors knowledge discovery macerals machine learning masonry buildings measurement while drilling mine optimization mine safety and health mine worker fatigue mine-to-mill mineral prospectivity mapping minerals processing mining mining equipment uncertainties mining exploitation mining geology modes of operation multispectral imaging multivariate statistics n/a Naive Bayes narratives natural language processing neighbourhood component analysis non-additivity oil sands operational data ore control orebody uncertainty partial least squares regression petrographic analysis point cloud scaling Q-learning random forest random forest algorithm random forest classification random forest model rock type semantic segmentation stockpiles structure from motion support vector machine tactical geometallurgy transport route transport time truck dispatching underground mine unstructured data variable importance |
| 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 | ||
| ||
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 online resource (162 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
algorithm evaluation
associative classification big data Boolean logic class association rule classification component-based approach computational methods list computer algebra systems data envelopment analysis decision support systems deep learning dimensionality reduction Eclipse-RCP (Rich Client Platform) ensembles entropy exhaustive state space search external sources geographically dispersed systems Groebner bases indicators list interactive platform machine learning meta-database multi-objective optimization Nonlinear regression parallel algorithms personalized patient care population health management radar emitter rule-based expert systems semi-supervised learning software architecture spatial prediction teleological meta-database tennis hitting technique thematic list train rescheduling transfer learning vertical data representation very large-scale data and program cores of information systems very large-scale decision support systems |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557109603321 |
|
García-Díaz Vicente
|
||
| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
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 online resource (122 p.) |
| Soggetto topico |
History of engineering and technology
Materials science Technology: general issues |
| Soggetto non controllato |
adsorption
antioxidants bi-enzyme biosensor Bioassays biosensor biosensors breast cancer screening capacitive field-effect sensor chromatography deep sparse autoencoder deep-learning features diagnostics dimensionality reduction dithiocarbamate fungicides electromagnetic piezoelectric acoustic sensor endocrine disrupting compounds enzyme inhibition enzyme-logic gate extracellular vesicle fluorescent proteins high performance thin layer chromatography imaging biomarker nanomaterials penicillinase quartz Raman spectroscopy sensors tobacco mosaic virus (TMV) urease vasodilator activity voltammetry wastewater |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Biosensors |
| Record Nr. | UNINA-9910566471303321 |
|
Rocha-Santos Teresa A. P
|
||
| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
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 online resource (256 p.) |
| Soggetto topico |
Mathematics & science
Research & information: general |
| Soggetto non controllato |
Augustin-Csiszár mutual information
Bahadur efficiency Bayes risk bootstrap Bregman divergence capacitory discrimination Carlson-Levin inequality chi-squared divergence conditional limit theorem conditional Rényi divergence convexity data transmission difference of convex (DC) programming dimensionality reduction discriminant analysis error exponents f-divergence f-divergences horse betting hypothesis testing information contraction information geometry information inequalities information measures Jensen diversity Jensen-Bregman divergence Jensen-Shannon centroid Jensen-Shannon divergence Kelly gambling large deviations Markov chains maximal correlation maximum likelihood method of types minimum divergence estimator mixture family mutual information n/a Pinsker's inequality relative entropy Rényi divergence Rényi entropy Rényi mutual information skew-divergence statistical divergences statistical inference strong data-processing inequalities total variation α-mutual information |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Divergence Measures |
| Record Nr. | UNINA-9910576871103321 |
|
Sason Igal
|
||
| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
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 |
|
Salkuti Surender Reddy
|
||
| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Evolutionary Computation 2020
| Evolutionary Computation 2020 |
| Autore | Wang Gai-Ge |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (442 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
0-1 knapsack problem
ant colony optimization assortative mating binary whale optimization algorithm bug detection bWOA-S bWOA-V citation classification coevolution constrained optimization cuckoo search algorithm decomposition-based multi-objective optimisation differential evolution dimensionality reduction discrete artificial bee colony algorithm diversity preservation dominance dynamic learning elephant herding optimization engineering optimization evolutionary algorithm evolutionary algorithms (EAs) evolutionary computation feature selection fuzzing fuzzy hybrid flow shop scheduling game feature game simulation game trees geoelectric model global optimization green shop scheduling grey wolf optimizer h-index iterated local search knapsack problem knowledge transfer krill herd magnetotelluric many-objective optimization memetic algorithm menu planning problem metaheuristic minimize makespan minimize total energy consumption multi-indicators multi-metric multi-objective optimization multi-resources multi-task evolutionary computation multi-task optimization mutation one-dimensional inversions opposite path opposition-based learning optimization problem Pareto optimality Pareto-front particle swarm optimization path discovery performance indicators playtesting playtesting metric premature convergence Q-learning quantum quantum computing ranking seed schedule self-adaptive step size simulated annealing single objective optimization single-objective optimization success-history swarm intelligence traveling salesman problems travelling salesman problem turning-based mutation unified search space universities ranking validation whale optimization algorithm WOA |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557699203321 |
|
Wang Gai-Ge
|
||
| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
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 online resource (318 p.) |
| Soggetto topico |
History of engineering and technology
Technology: general issues |
| Soggetto non controllato |
accelerometer
annotations artificial intelligence atrial fibrillation beta rebound biomedical monitoring brain-machine interface calibration carbon nanotube cardiac time interval cell signal enhancement cell-line analysis cirrhosis classification models classifications compressed sensing convolutional neural network convolutional neural networks Convolutional Neural Networks (CNN) correlation COVID-19 decoding deep learning deep metric learning dimensionality reduction disease management dynamic time warping ECG signal ECG trace image EEG EEG classification electrocardiogram electrocardiogram (ECG) electrocardiography electrodes electromyography electronic nose epileptic seizure detection feature extraction feature selection fiducial point detection gait analysis grasp classification grasp phases analysis heart failure heart rate variability high blood pressure hypertension IMU intrafascicular intraneural k-nearest neighbors classifier Laplacian eigenmaps lens-free shadow imaging technique liver dysfunction locality preserving projections machine learning motor execution motor imagery myoelectric prosthesis n/a osteopenia Parkinson's disease photoplethysmography prediction premature ventricular contraction pressure sensor projection matrices random forest reconstruction dictionaries recording RISC-V sarcopenia seismocardiography sEMG semiconductor metal oxide gas sensor sensors sepsis SHAP signal classifications skin sympathetic nerve activity (SKNA) sympathetic activity (SNA) transfer learning ultra-low-power vagus nerve wearable electroencephalography XAI |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910580203203321 |
|
Costin Hariton-Nicolae
|
||
| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Learning to Understand Remote Sensing Images: Volume 1 / Qi Wang
| Learning to Understand Remote Sensing Images: Volume 1 / Qi Wang |
| Autore | Wang Qi |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (414 pages) |
| Soggetto topico | Computer science |
| 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 |
9783038976851
3038976857 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910367755603321 |
|
Wang Qi
|
||
| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Learning to Understand Remote Sensing Images: Volume 2 / Qi Wang
| Learning to Understand Remote Sensing Images: Volume 2 / Qi Wang |
| 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 |
9783038976998
3038976997 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910367755503321 |
|
Wang Qi
|
||
| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
