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Analysis for Power Quality Monitoring
| Analysis for Power Quality Monitoring |
| Autore | González de la Rosa Juan-José |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (210 p.) |
| Soggetto non controllato |
modulation
FPGA flicker DC power quality indices limited resources hardware low cost monitor dynamic phasor estimation harmonics RMS voltage estimation islanding operation embedded system signal waveform compression big data digital signal processing data scalability data compression wind-grid distribution voltage fluctuations smart grid (SG) applications power event detection modelling voltage ripple power quality monitoring higher-order statistics (HOS) power distribution systems power quality disturbances reconfigurable computing operation analysis sensor node power quality (PQ) distribution networks wireless sensor network reliability power system measurements embedded microcontroller phasor measurement units IoT soft computing smart grids power quality monitor induction machines sensors and instruments for PQ Kalman filters low-voltage DC networks convolution neural network spectral kurtosis municipal distribution network statistical signal processing detection power quality disturbance smart grid energizing warning dense-mesh topology low computational cost fourth-order statistics PQ indices and thresholds machine learning voltage sags power quality computational solutions for advanced metering infrastructure (AMI) constant amplitude trend phasor measurement improved principal component analysis long-term |
| ISBN | 3-03928-111-9 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910404080603321 |
González de la Rosa Juan-José
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| MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Computational Intelligence in Healthcare
| Computational Intelligence in Healthcare |
| Autore | Castellano Giovanna |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (226 p.) |
| Soggetto topico | Information technology industries |
| Soggetto non controllato |
sEMG
deep learning neural networks gait phase classification everyday walking convolutional neural network CRISPR leukemia nucleus image segmentation soft covering rough set clustering machine learning algorithm soft computing multistage support vector machine model multiple imputation by chained equations SVM-based recursive feature elimination unipolar depression diabetic retinopathy (DR) pre-trained deep ConvNet uni-modal deep features multi-modal deep features transfer learning 1D pooling cross pooling IMU gait analysis long-term monitoring multi-unit multi-sensor time synchronization Internet of Medical Things body area network MIMU early detection sepsis evaluation metrics machine learning medical informatics feature extraction physionet challenge electrocardiogram Premature ventricular contraction sparse autoencoder unsupervised learning Softmax regression medical diagnosis artificial neural network e-health Tri-Fog Health System fault data elimination health status prediction health status detection health off diffusion tensor imaging ensemble learning decision support systems healthcare computational intelligence Alzheimer's disease fuzzy inference systems genetic algorithms next-generation sequencing ovarian cancer interpretable models |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910674044803321 |
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Castellano Giovanna
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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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 electronic resource (276 p.) |
| Soggetto topico |
Research & information: general
Mathematics & science |
| Soggetto non controllato |
ARIMA model
time series analysis online optimization online model selection precipitation nowcasting deep learning autoencoders radar data generalization error recurrent neural networks machine learning model predictive control nonlinear systems neural networks low power quantization CNN architecture multi-objective optimization genetic algorithms evolutionary computation swarm intelligence Heating, Ventilation and Air Conditioning (HVAC) metaheuristics search bio-inspired algorithms smart building soft computing training evolution of weights artificial intelligence deep neural networks convolutional neural network deep compression DNN ReLU floating-point numbers hardware acceleration energy dissipation FLOW-3D hydraulic jumps bed roughness sensitivity analysis feature selection evolutionary algorithms nature inspired algorithms meta-heuristic optimization computational intelligence |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557610303321 |
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Gabbay Freddy
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Flood Forecasting Using Machine Learning Methods
| Flood Forecasting Using Machine Learning Methods |
| Autore | Chang Fi-John |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (376 p.) |
| Soggetto non controllato |
natural hazards &
artificial neural network flood routing the Three Gorges Dam backtracking search optimization algorithm (BSA) lag analysis artificial intelligence classification and regression trees (CART) decision tree real-time optimization ensemble empirical mode decomposition (EEMD) improved bat algorithm convolutional neural networks ANFIS method of tracking energy differences (MTED) adaptive neuro-fuzzy inference system (ANFIS) recurrent nonlinear autoregressive with exogenous inputs (RNARX) disasters flood prediction ANN-based models flood inundation map ensemble machine learning flood forecast sensitivity hydrologic models phase space reconstruction water level forecast data forward prediction early flood warning systems bees algorithm random forest uncertainty soft computing data science hydrometeorology LSTM rating curve method forecasting superpixel particle swarm optimization high-resolution remote-sensing images machine learning support vector machine Lower Yellow River extreme event management runoff series empirical wavelet transform Muskingum model hydrograph predictions bat algorithm data scarce basins Wilson flood self-organizing map big data extreme learning machine (ELM) hydroinformatics nonlinear Muskingum model invasive weed optimization rainfall–runoff flood forecasting artificial neural networks flash-flood streamflow predictions precipitation-runoff the upper Yangtze River survey parameters Haraz watershed ANN time series prediction postprocessing flood susceptibility modeling rainfall-runoff deep learning database LSTM network ensemble technique hybrid neural network self-organizing map (SOM) data assimilation particle filter algorithm monthly streamflow forecasting Dongting Lake machine learning methods micro-model stopping criteria Google Maps cultural algorithm wolf pack algorithm flood events urban water bodies Karahan flood St. Venant equations hybrid & hydrologic model |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346688303321 |
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Chang Fi-John
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Fuzzy Decision Making and Soft Computing Applications
| Fuzzy Decision Making and Soft Computing Applications |
| Autore | De Pietro Giuseppe |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (278 p.) |
| Soggetto topico |
Research & information: general
Mathematics & science |
| Soggetto non controllato |
fuzzy partition
fuzzy transform new iterative method Cauchy problems ANFIS basmati rice image processing grading quality assessment fuzzy inference system causality statistics concept-mapping causal graph numerical methods systems of ordinary differential equations NIM fuzzy logics linear motion blur fuzzy deblurring electron beam calibration signal and image processing propagation modeling adaptive-network-based fuzzy system LoRa & LoRaWAN radio wave propagation artificial neural networks subtracting clustering dual double fuzzy semi-metric double fuzzy semi-metric fuzzy semi-metric space triangle inequality triangular norm eye gaze tracking interval type-2 fuzzy logic vision system mobile robots intelligent control ordered fuzzy number fuzzy relation preorder strict order equivalence relation variable neighborhood search experimental comparison statistical analysis traveling salesman problem soft computing modeling vector optimization methods of solution of vector problems optimal decision-making numerical realization of decision-making |
| ISBN | 3-0365-4930-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910637781803321 |
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De Pietro Giuseppe
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Radar Technology for Coastal Areas and Open Sea Monitoring
| Radar Technology for Coastal Areas and Open Sea Monitoring |
| Autore | Ludeno Giovanni |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (250 p.) |
| Soggetto topico | History of engineering & technology |
| Soggetto non controllato |
HF radar
monitoring circulation Atlantic Jet flow reversal Gibraltar Alboran Sea X-band radar tidal variation modified temporal waterline method shoreline position intertidal foreshore slope wave run-up correction current velocity measurement high-frequency (HF) radar oceanography remote sensing quality control coastal surface currents soft computing radar sensitivity experiments numerical model artificial neural network inversion radar cross-section monostatic radar ocean wave directional spectrum TensorFlow wave directional spectra spatial wave fields ADCP wave buoy significant wave height marine radar sea state monitoring scum hypertrophic ecosystem Sentinel-1 Sentinel-2 Sentinel-3 cloudiness high-frequency ocean radar interference mitigation frequency band adaptation high frequency radar sea surface temperature surface currents south-west Australia synthetic aperture radar Doppler anomaly sea surface currents Gulf of Naples augmented observatory wave field radar Doppler altimeter orbital velocities waveforms swell radar altimeter sea surface current |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557682503321 |
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Ludeno Giovanni
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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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Supply Chain Management for Bioenergy and Bioresources
| Supply Chain Management for Bioenergy and Bioresources |
| Autore | Bochtis Dionysis |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (148 p.) |
| Soggetto topico |
Research & information: general
Biology, life sciences Technology, engineering, agriculture |
| Soggetto non controllato |
supply-chain design
strategic planning operational planning energy crop production crop residue dry above ground biomass soybean empirical models bilinear regression analysis agricultural operations energy use assessment tool workability machinery agricultural machinery fleet management auto-steering system collaborative operating system flow-shop simulation field experiment Fuzzy Cognitive Maps photovoltaic solar energy scenario analysis decision-support energy management bioenergy efficiency of bio-resources decision support system multi-criteria analysis sustainability neuro-fuzzy ANFIS neural networks soft computing fuzzy cognitive maps energy forecasting natural gas prediction |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557285203321 |
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Bochtis Dionysis
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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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