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 Optimization Methods and Big Data Applications in Energy Demand Forecast
| Advanced Optimization Methods and Big Data Applications in Energy Demand Forecast |
| Autore | Gómez Vela Francisco A |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (100 p.) |
| Soggetto topico |
Research & information: general
Technology: general issues |
| Soggetto non controllato |
autoregression
clustering data filtration data processing decision tree deep learning electricity demand energy demand energy efficiency evolutionary computation exponential smoothing forecasting k-nearest neighbors n/a neuroevolution photovoltaic power plant regression residential building short-term forecasting temporal convolutional network time series time series forecasting time-series forecasting |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557776003321 |
Gómez Vela Francisco A
|
||
| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advances in Hyperspectral Data Exploitation
| Advances in Hyperspectral Data Exploitation |
| Autore | Chang Chein-I |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (434 p.) |
| Soggetto topico |
History of engineering & technology
Technology: general issues |
| Soggetto non controllato |
air temperature
anomaly detection atmospheric transmittance attention mechanism band selection band selection (BS) boundary-aware constraint carbon dioxide absorption change detection channel augmented attention classification coffee beans color formation models constrained energy minimization (CEM) constrained sparse representation constrained-target optimal index factor band selection (CTOIFBS) constraint representation convolutional neural network data augmentation data fusion deep convolutional neural networks deep learning denoising emissivity evolutionary computation FTIR fused features generative adversarial network heuristic algorithms hyperspectral hyperspectral image hyperspectral image classification hyperspectral image few-shot classification hyperspectral image super-resolution hyperspectral imagery hyperspectral imagery classification hyperspectral images hyperspectral imaging hyperspectral imaging (HSI) hyperspectral imaging data hyperspectral reconstruction hyperspectral remote sensing hyperspectral target detection hyperspectral unmixing image classification image fusion insect damage joint tensor decomposition least square estimation lightweight convolutional neural networks machine learning meta-learning midwave infrared mine environment moving target detection multi-source image fusion multiscale decision fusion multispectral image MWIR nonlinear unmixing plug-and-play relation network residual augmented attentional u-shape network rice rice leaf blast rice leaf folder self-supervised learning self-supervised training separation SFIM spatial augmented attention spatial filter spatial measurement spatio-temporal processing spectral reconstruction spectral-spatial residual network superpixel segmentation target detection temperature transfer learning underwater hyperspectral target detection underwater spectral imaging system unmanned aerial vehicles (UAVs) upland swamps vegetation vegetation mapping visualization |
| ISBN | 3-0365-5796-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910637782203321 |
|
Chang Chein-I
|
||
| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Bioinformatics Applications Based On Machine Learning
| Bioinformatics Applications Based On Machine Learning |
| Autore | Chamoso Pablo |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (206 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
Affective Computing
Arabidopsis thaliana Artificial Neural Networks bi-directional LSTM bioinformatics biological functions detection classification clinical data clinical implications cluster computer vision convolutional neural network CTX-M data mining Decision table deep learning derivative-free optimization detection diabetes dynamic models ear detection epidemiology evolutionary computation evolutionary computing feature selection forecast fuel cell gene clustering genetic programming glycolysis gradient boosting Harmony Search hybrid systems hydrogen energy image recognition informative genes intelligent systems machine learning Machine Learning metabolism metagenomics metrics mitochondrial protein parameter estimation PART Particle Swarm Optimization personality assessment plasmodium falciparum power management real-life patients regression swarm intelligence transposable elements video analysis Weka yeast |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910674055503321 |
|
Chamoso Pablo
|
||
| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Biometric Systems
| Biometric Systems |
| Autore | Nanni Loris |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (352 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
assessment
augmented signature autism spectrum disorder (ASD) automatic recognition automatic signature verification biomarker biometric recognition biometric recognition performance evaluation biometric systems biometry bit planes block bloodstream body motion contactless acquisition device contactless dataset cross-device curve similarity curve similarity model curve similarity transformation data quality deep learning depth map ensemble dorsal hand vein recognition ear detection ECG enrollment phase evolutionary computation face face detection face recognition systems face verification filtering finger features finger vein recognition fingerprint function features Gabor filter Gaussian mixture model geometric deep learning hand vein recognition Hausdorff distance human identification identification image classification image covariates image quality assessment image recognition infrared camera intervention LGS local coding Lviv Biometric Dataset machine learning mobile conditions multi-biometrics multimodal recognition mutual information non-contact devices online signature verification optical correlation Oriented FAST and Rotated BRIEF (ORB) pattern recognition performance assessment person identification person re-identification Physionet presentation attack detection public vascular pattern dataset quality filtering rotation equivariance SC-DTW Scale-Invariant Feature Transform (SIFT®) security enhancement segmentation matching semantic segmentation shape contexts similarity distance Speeded Up Robust Features (SURF®) structured prediction superpixel superpixels survey symbolic representation temporally aligned pooling touch-screen sensor two-stage method vascular biometric recognition visible light iris images voice walking cycle wrist vein recognition |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557789403321 |
|
Nanni Loris
|
||
| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Computational Optimizations for Machine Learning
| Computational Optimizations for Machine Learning |
| Autore | Gabbay Freddy |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (276 p.) |
| Soggetto topico |
Mathematics & science
Research & information: general |
| Soggetto non controllato |
ARIMA model
artificial intelligence autoencoders bed roughness bio-inspired algorithms CNN architecture computational intelligence convolutional neural network deep compression deep learning deep neural networks DNN energy dissipation evolution of weights evolutionary algorithms evolutionary computation feature selection floating-point numbers FLOW-3D generalization error genetic algorithms hardware acceleration Heating, Ventilation and Air Conditioning (HVAC) hydraulic jumps low power machine learning meta-heuristic optimization metaheuristics search model predictive control multi-objective optimization nature inspired algorithms neural networks nonlinear systems online model selection online optimization precipitation nowcasting quantization radar data recurrent neural networks ReLU sensitivity analysis smart building soft computing swarm intelligence time series analysis training |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557610303321 |
|
Gabbay Freddy
|
||
| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Evolutionary Computation
| Evolutionary Computation |
| Autore | Alavi Amir |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 online resource (424 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
?-Hilbert space
0-1 knapsack problems acceleration search adaptive multi-swarm adaptive weight architecture Artificial bee colony artificial bee colony algorithm (ABC) automatic identification average iteration times bat algorithm (BA) bat algorithm with multiple strategy coupling (mixBA) benchmark benchmark functions biology CEC2013 benchmarks cloud model computation confidence term constrained optimization problems (COPs) convergence point convolutional neural network DE algorithm deep learning dimension learning discrete algorithm dispatching rule diversity maintenance DV-Hop algorithm EHO elephant herding optimization elite strategy energy-efficient job shop scheduling entropy evolution evolutionary evolutionary algorithm evolutionary algorithms (EAs) evolutionary computation evolutionary multi-objective optimization facility layout design firefly algorithm (FA) first-arrival picking flexible job shop scheduling problem Friedman test fuzzy c-means genetic algorithm global optimization global optimum global position updating operator greedy optimization algorithm individual updating strategy integrated design large scale optimization large-scale large-scale optimization local search material handling path memetic algorithm minimum load coloring minimum total dominating set monarch butterfly optimization moth search algorithm multi-objective DV-Hop localization algorithm mutation operation nonlinear convergence factor normal cloud model NSGA-II-DV-Hop numerical simulation optimization particle swarm optimization particle swarm optimizer quantum uncertainty property random weight range detection rock types set-union knapsack problem shape grammar single loop slicing tree structure SPEA 2 stochastic ranking (SR) success rates swarm intelligence t-test topology structure transfer function urban design variable neighborhood search whale optimization algorithm Wilcoxon test wireless sensor networks (WSNs) Y conditional cloud generator |
| ISBN | 3-03921-929-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910367740503321 |
|
Alavi Amir
|
||
| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
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 online resource (286 p.) |
| Soggetto topico | Information technology industries |
| Soggetto non controllato |
algorithmic design
analysis approximate matching benchmark suite compact optimization concept drift concept evolution context-triggered piecewise hashing data integration data sampling DE-MPFSC algorithm density based clustering discrete optimization dynamic stream clustering edit distance entanglement degree estimation distribution algorithms evolutionary algorithms evolutionary computation feature selection fitness trend fuzzy hashing genetic algorithm global/local optimization Holm-Bonferroni hybrid algorithms identification imbalanced data instance weighting k-means centroid kinematic parameters large-scale optimization LZJD manipulator Markov process maximum k-coverage memetic algorithms memetic computing meta-heuristic algorithms metaheuristic optimisation metaheuristics multi-objective deterministic optimization, derivative-free multi-thread programming nature-inspired algorithms normalization one billion variables online clustering optimisation parameter tuning particle swarm Particle Swarm Optimization population based algorithms PSO redundant representation robot routing screening criteria sdhash signatures similarity detection simulation-based design optimization Social Network Optimization ssdeep swarm intelligence Swarm Intelligence Wilcoxon rank-sum wireless sensor networks |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557283803321 |
|
Caraffini Fabio
|
||
| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| 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 | ||
| ||
Numerical and Evolutionary Optimization
| Numerical and Evolutionary Optimization |
| Autore | Lara Adriana |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 online resource (230 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
averaged Hausdorff distance
basic differential evolution algorithm Bloat bulbous bow crop planning decision space diversity differential evolution algorithm driving events driving scoring functions economic crops evolutionary computation evolutionary multi-objective optimization EvoSpace flexible job shop scheduling problem genetic algorithm genetic programming Genetic Programming improved differential evolution algorithm improvement differential evolution algorithm intelligent transportation systems IV-optimality criterion Local Search local search and jump search location routing problem metric measure spaces mixture experiments model order reduction model predictive control modify differential evolution algorithm multi-objective optimization multiobjective optimization NEAT numerical simulations open-source framework optimal control optimal solutions Pareto front performance indicator power means risky driving rubber shape morphing single component constraints surrogate-based optimization U-shaped assembly line balancing vehicle routing problem |
| ISBN | 3-03921-817-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910367744103321 |
|
Lara Adriana
|
||
| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Optimization Methods Applied to Power Systems: Volume 1 / Raúl Baños Navarro, Francisco G. Montoya
| Optimization Methods Applied to Power Systems: Volume 1 / Raúl Baños Navarro, Francisco G. Montoya |
| Autore | Baños Navarro Raúl |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (382 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
Stackelberg game
MILP optimal congestion threshold magnetic field mitigation simulation multi-objective particle swarm optimization virtual power plant internal defect day-ahead load forecasting neural network modular predictor multi-objective particle swarm optimization algorithm stochastic optimization dragonfly algorithm unit commitment metaheuristic multi-population method (MP) optimization tabu search considerable decomposition loss minimization active distribution system islanded microgrid dynamic solving framework feature selection electric energy costs power factor compensation dependability interactive load overhead energy internet evolutionary computation wind power developed grew wolf optimizer underground ETAP fuzzy algorithm electric vehicles Schwarz's equation evolutionary algorithms electric power contracts congestion management optimizing-scenarios method building energy management system particle encoding method ringdown detection HOMER software DC optimal power flow prosumer constrained parameter estimation distributed generations (DGs) strong track filter (STF) transient stability calibration cost minimization radiance decentralized and collaborative optimization hybrid renewable energy system renewable energy sources rural electrification distribution network reconfiguration interval variables optimization methods particle swarm optimization hierarchical scheduling micro grid AC/DC hybrid active distribution consensus artificial bee colony CCHP system data center support vector machine affinity propagation clustering extended Kalman filter affine arithmetic linear discriminant analysis (LDA) current margins heterogeneous networks Cameroon hybrid method distributed heat-electricity energy management discrete wind driven optimization fitness function cross-entropy GenOpt wind energy demand uncertainty UC off-design performance genetic algorithm energy storage the biomimetic membrane computing power system optimization electric vehicle power architectures economic load dispatch problem (ELD) runner-root algorithm (RRA) Cable joint battery energy storage system load curtailment integration assessment power system unit commitment artificial lighting power flow hybrid membrane computing two-point estimation method low-voltage networks demand bidding non-sinusoidal circuits energy flow model power transfer distribution factors sustainability HVAC system voltage deviation street light points radial basis function energy storage system charging/discharging power systems intelligent scatter search MV/LV substation optimal power flow stochastic state estimation eight searching sub-regions chaos optimization algorithm (COA) mutual information theory inter-turn shorted-circuit fault (ISCF) C&I particle swarm optimization multiobjective optimization passive shielding sub-Saharan Africa micro-phasor measurement unit geometric algebra bio-inspired algorithms adaptive consensus algorithm energy management PCS efficiency multi-stakeholders generalized generation distribution factors the genetic algorithm based P system JAYA algorithm thermal probability density power optimization pumped-hydro energy storage smart grid two-stage feature selection piecewise linear techniques photovoltaic SOCP relaxations switched reluctance machine (SRM) optimal reactive power dispatch optimal operation controllable response off-grid active shielding transformer-fault diagnosis IEEE Std. 80-2000 principal component analysis demand response |
| ISBN |
9783039211319
3039211315 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346859603321 |
|
Baños Navarro Raúl
|
||
| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
