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Evolutionary Computation & Swarm Intelligence
| Evolutionary Computation & Swarm Intelligence |
| Autore | Caraffini Fabio |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (286 p.) |
| Soggetto topico | Information technology industries |
| Soggetto non controllato |
dynamic stream clustering
online clustering metaheuristics optimisation population based algorithms density based clustering k-means centroid concept drift concept evolution imbalanced data screening criteria DE-MPFSC algorithm Markov process entanglement degree data integration PSO robot manipulator analysis kinematic parameters identification approximate matching context-triggered piecewise hashing edit distance fuzzy hashing LZJD multi-thread programming sdhash signatures similarity detection ssdeep maximum k-coverage redundant representation normalization genetic algorithm hybrid algorithms memetic algorithms particle swarm multi-objective deterministic optimization, derivative-free global/local optimization simulation-based design optimization wireless sensor networks routing Swarm Intelligence Particle Swarm Optimization Social Network Optimization compact optimization discrete optimization large-scale optimization one billion variables evolutionary algorithms estimation distribution algorithms algorithmic design metaheuristic optimisation evolutionary computation swarm intelligence memetic computing parameter tuning fitness trend Wilcoxon rank-sum Holm–Bonferroni benchmark suite data sampling feature selection instance weighting nature-inspired algorithms meta-heuristic algorithms |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557283803321 |
Caraffini Fabio
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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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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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Future Transportation
| Future Transportation |
| Autore | Randazzo Giovanni |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (486 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology Environmental science, engineering & technology |
| Soggetto non controllato |
ANOVA-test
clickbait news feature selection social network taxi demand forecasting multi-source data generative adversarial networks container ship traffic flow volatility generalized Hurst exponents long-range dependence multifractality city buses semi-Markov processes preventive maintenance corrective maintenance age-replacement minimal repair perfect repair profit per time unit availability railway transport passengers sustainable travel ARTIW method IHAMCI method MCDM facial recognition technology e-biker red-light running behavior privacy invasion content replacement content placement content-centric networking cache networks immaturity stretch reduction mineral exploration natural gamma-ray spectrometry ASTER fuzzy logic modelling Kelâat M’Gouna inlier Eastern Anti-Atlas Morocco collision avoidance fuzzy logic on board driver assistance semi-autonomous multi-factor VANET COVID-19 bike sharing system urban mobility regression analysis green transport continuous descent approach optimized profile descent climate change terminal maneuvering area environmental impact applied queueing theory air traffic management air transportation sustainability electric vehicle powertrain multispeed discrete transmission continuously variable transmission two-motors configuration four-motors configuration border crossings sentiments personal vehicles pedestrians US–Mexico Google Trends digitalization BPM business process model artificial intelligence big data virtual reality internet of things cloud computing digital security additive engineering smart cities Internet of Things (IoT) strategy monitoring transport equity distributional analysis accessibility space-time model transport policy OFDM LDACS aeronautical communication impulse noise pulse blanking ROAD statistics location planning vehicle scheduling electric buses charging stations partial charging human-machine interaction scenarios use cases remote operation highly automated vehicles user-centered design remote assistance remote driving bike-sharing system (BSS) mode choice stated choice experiment multinomial logit model transport demand model technological transitions automobiles system dynamics dynamical systems bifurcations |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910585934803321 |
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Randazzo Giovanni
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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High Voltage Engineering and Applications
| High Voltage Engineering and Applications |
| Autore | El-Hag Ayman |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (304 p.) |
| Soggetto non controllato |
artificial neural network
simulation high-frequency artificial flashover tests wide bandgap power modules tracking electrical field strength fast-rise square wave voltages FDTD simulation cable joint corona discharge feature selection post insulator earthing systems wind speed surface discharge oil/paper insulation oil-paper insulation high-magnitude currents and impulse polarity UFVM Tettex 9520 electrical tree flashover characteristics composite insulator partial discharge numerical modeling saline mechanism thermal parameters space charge density seasonal ion flow field denoising DDX 9121b temperature transformer asset management cavity discharge space/interface charge insulation health index heat transfer model leakage current machine learning partial discharges (PD) RF signal flashover high impulse conditions grounding electrodes generalized finite difference time domain curve fitting grounding plasma discharge outdoor insulators flashover dynamic model wavelet transform degradation thermal properties bipolar charge transport model UHF sensor cable random walk theory tracking test setup GIL pressure modelling non-uniform pollution between windward and leeward sides calibrator secondary arc polymeric insulation optical-UHF integrated detection shoreline dry band arcing photoelectric fusion pattern DDX 8003 XLPE silicone gel partial discharge modeling electric field analysis NSCT electrode’s geometry gas Comsol Multiphysics fast-impulses laying modes ageing cable ampacity residual resistance formulation finite element analysis thermal effect hydrophobicity soil resistivity charge simulation method short-circuit discharge dry band formation |
| ISBN | 3-03928-717-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910404090803321 |
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El-Hag Ayman
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| MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Hyperspectral Remote Sensing of Agriculture and Vegetation
| Hyperspectral Remote Sensing of Agriculture and Vegetation |
| Autore | Pascucci Simone |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (266 p.) |
| Soggetto topico |
Research & information: general
Environmental economics |
| Soggetto non controllato |
hyperspectral LiDAR
Red Edge AOTF vegetation parameters leaf chlorophyll content DLARI MDATT adaxial abaxial spectral reflectance peanut field spectroscopy hyperspectral heavy metals grapevine PLS SVM MLR multi-angle observation hyperspectral remote sensing BRDF vegetation classification object-oriented segmentation spectroscopy artificial intelligence proximal sensing data precision agriculture spectra vegetation plant classification discrimination feature selection waveband selection support vector machine random forest Natura 2000 invasive species expansive species biodiversity proximal sensor macronutrient micronutrient remote sensing hyperspectral imaging platforms and sensors analytical methods crop properties soil characteristics classification of agricultural features canopy spectra chlorophyll content continuous wavelet transform (CWT) correlation coefficient partial least square regression (PLSR) reproducibility replicability partial least squares Ethiopia Eragrostis tef hyperspectral remote sensing for soil and crops in agriculture hyperspectral imaging for vegetation plant traits high-resolution spectroscopy for agricultural soils and vegetation hyperspectral databases for agricultural soils and vegetation hyperspectral data as input for modelling soil, crop, and vegetation product validation new hyperspectral technologies future hyperspectral missions |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557691803321 |
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Pascucci Simone
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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 Analysis Methods
| Intelligent Biosignal Analysis Methods |
| Autore | Jović Alan |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (256 p.) |
| Soggetto topico | Information technology industries |
| Soggetto non controllato |
sleep stage scoring
neural network-based refinement residual attention T-end annotation signal quality index tSQI optimal shrinkage emotion EEG DEAP CNN surgery image disgust autonomic nervous system electrocardiogram galvanic skin response olfactory training psychophysics smell wearable sensors wine sensory analysis accuracy convolution neural network (CNN) classifiers electrocardiography k-fold validation myocardial infarction sensitivity sleep staging electroencephalography (EEG) brain functional connectivity frequency band fusion phase-locked value (PLV) wearable device emotional state mental workload stress heart rate eye blinks rate skin conductance level emotion recognition electroencephalogram (EEG) photoplethysmography (PPG) machine learning feature extraction feature selection deep learning non-stationarity individual differences inter-subject variability covariate shift cross-participant inter-participant drowsiness detection EEG features drowsiness classification fatigue detection residual network Mish spatial transformer networks non-local attention mechanism Alzheimer's disease fall detection event-centered data segmentation accelerometer window duration |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557354803321 |
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Jović Alan
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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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Intelligent Processing on Image and Optical Information
| Intelligent Processing on Image and Optical Information |
| Autore | Yeom Seokwon |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (324 p.) |
| Soggetto topico | History of engineering & technology |
| Soggetto non controllato |
change detection
NSCT variogram function structure similarity Dongting Lake ego-motion estimation hand-eye calibration IMU lidar odometry sensor fusion texture classification Gabor filter parameter optimization feature selection hybrid ant lion optimizer wireless multimedia sensor networks wildlife monitoring image extraction Hermite adaptive mean-shift biomedical imaging bone fracture calcaneus CT image segmentation zebrafish egg microscopy image processing convolutional neural network digital image correlation high-temperature measurement heat waves thermal disturbance background-oriented schlieren fermentation monitoring quality inspection process automation deep learning superellipsoid model fitting optical sensor multi-sensor face registration inner-distance Student's-t Mixtures Model image fusion continuous casting slabs surface defect classification discrete non-separable shearlet transform gray-level co-occurrence matrix kernel spectral regression block compressed sensing error resilience reconstruction image completion tensor decomposition models image interpolation image up-scaling numerical optimization ADAM machine learning stochastic gradient methods healthy and infected lemons Hyperspectral image Penicillium digitatum pathogen lemon skin dominant spectral wavelength spectral intensity ratio zebrafish larva microscopy image analysis deep neural network clustering evaluation clustering algorithm cluster validity index boundary point interior point radiographic image image processing feature extraction classifier defect detection generative models GAN (Generative adversarial networks) facial image generation database augmentation synthesis autofocus night vision goggles sparse and low-rank matrix decomposition |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557104903321 |
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Yeom Seokwon
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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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Machine Learning Methods with Noisy, Incomplete or Small Datasets
| Machine Learning Methods with Noisy, Incomplete or Small Datasets |
| Autore | Solé-Casals Jordi |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (316 p.) |
| Soggetto topico | Information technology industries |
| Soggetto non controllato |
open contours
similarly shaped fish species Discrete Cosine Transform (DCT) Discrete Fourier Transform (DFT) Extreme Learning Machines (ELM) feature engineering small data-sets optimization machine learning preprocessing image generation weighted interpolation map binarization single sample per person root canal measurement multifrequency impedance data augmentation neural network functional magnetic resonance imaging independent component analysis deep learning recurrent neural network functional connectivity episodic memory small sample learning feature selection noise elimination space consistency label correlations empirical mode decomposition sparse representations tensor decomposition tensor completion machine translation pairwise evaluation educational data small datasets noisy datasets smart building Internet of Things (IoT) Markov Chain Monte Carlo (MCMC) ontology graph model Artificial Neural Network Discriminant Analysis dengue feature extraction sound event detection non-negative matrix factorization ultrasound images shadow detection shadow estimation auto-encoders semi-supervised learning prediction feature importance feature elimination hierarchical clustering Parkinson’s disease few-shot learning permutation-variable importance topological data analysis persistent entropy support-vector machine data science intelligent decision support social vulnerability gender-gap digital-gap COVID19 policy-making support artificial intelligence imperfect dataset |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557324603321 |
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Solé-Casals Jordi
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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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Machine Learning Techniques Applied to Geoscience Information System and Remote Sensing
| Machine Learning Techniques Applied to Geoscience Information System and Remote Sensing |
| Autore | Lee Saro |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (438 p.) |
| Soggetto non controllato |
artificial neural network
model switching sensitivity analysis neural networks logit boost Qaidam Basin land subsidence land use/land cover (LULC) naïve Bayes multilayer perceptron convolutional neural networks single-class data descriptors logistic regression feature selection mapping particulate matter 10 (PM10) Bayes net gray-level co-occurrence matrix multi-scale Logistic Model Trees classification Panax notoginseng large scene coarse particle grayscale aerial image Gaofen-2 environmental variables variable selection spatial predictive models weights of evidence landslide prediction random forest boosted regression tree convolutional network Vietnam model validation colorization data mining techniques spatial predictions SCAI unmanned aerial vehicle high-resolution texture spatial sparse recovery landslide susceptibility map machine learning reproducible research constrained spatial smoothing support vector machine random forest regression model assessment information gain ALS point cloud bagging ensemble one-class classifiers leaf area index (LAI) landslide susceptibility landsat image ionospheric delay constraints spatial spline regression remote sensing image segmentation panchromatic Sentinel-2 remote sensing optical remote sensing materia medica resource GIS precise weighting change detection TRMM traffic CO crop training sample size convergence time object detection gully erosion deep learning classification-based learning transfer learning landslide traffic CO prediction hybrid model winter wheat spatial distribution logistic alternating direction method of multipliers hybrid structure convolutional neural networks geoherb predictive accuracy real-time precise point positioning spectral bands |
| ISBN | 3-03921-216-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910367564103321 |
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Lee Saro
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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