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.
Emerging Sensor Technology in Agriculture
| Emerging Sensor Technology in Agriculture |
| Autore | Fuentes Sigfredo |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (240 p.) |
| Soggetto topico |
Research & information: general
Geography |
| Soggetto non controllato |
apple orchards
modeling and simulation unmanned aerial vehicles fruit ripeness ethylene gas detection 3D crop modeling remote sensing on-ground sensing depth images parameter acquisition capacitor sensor deposit mass pesticide droplets formulations ionization CFD airflow field test monitoring method spectral sensor crop growth computer vision deep learning image processing pose estimation animal detection precision livestock Citrus sinensis L. Osbeck mechanical harvesting acceleration sensor vibration time logistic regression adaptive thresholding fruit detection parameter tuning phenotype phenotyping phenomics Triticum aestivum water deficit stress infrared leaf area index cocoa beans volatile compounds artificial neural networks VitiCanopy app bushfires infrared thermography near-infrared spectroscopy smoke taint artificial intelligence Kinect sensor RGB RGB-D image segmentation colour thresholding bunch area bunch volume point cloud mesh surface reconstruction image analysis cluster morphology machine learning non-invasive sensing technologies proximal sensing precision viticulture partial least square support vector machine Gaussian processes soybean pigeon pea guar tepary bean |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557295003321 |
Fuentes Sigfredo
|
||
| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| 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 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
|
||
| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Future Smart Grid Systems
| Future Smart Grid Systems |
| Autore | Short Michael |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (241 p.) |
| Soggetto topico |
Research & information: general
Technology: general issues |
| Soggetto non controllato |
industry 4.0
digitalization demand response HVAC control dynamic programming nonlinear optimization energy storage regulatory barriers storage policy market regulations SWOT analysis deep neural networks short-term load forecasting renewable energy sustainability island communities demand flexibility energy management optimization hydrogen economy cost analysis life cycle costing methane reforming water electrolysis centralised hydrogen production smart grids (intelligent networks) phasor machine learning binary logistic regression wireless network Sensors decentralized community energy management lithium-ion battery capacity prediction state of health estimation time–frequency image analysis continuous wavelet transform (CWT) two-stage optimization risk-based hybrid demand response uncertainties conditional value at risk improved multi-layer artificial bee colony algorithm interconnected power system cybersecurity FPID controller automatic intrusion mitigation unit Virtual Oscillator Control parameter tuning voltage-mode inverter microgrid |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557604803321 |
|
Short Michael
|
||
| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Microgrids : The Path to Sustainability
| Microgrids : The Path to Sustainability |
| Autore | Anvari-Moghaddam Amjad |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (280 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
microgrid
distribution network operator double externalities subsidy PV system PI controller fuzzy control MPPT tracking speed error Micro Grid VSG power sharing inertia support energy support small signal stability day-ahead operational scheduling reconfigurable microgrid DRNN Bi-LSTM aggregated load forecasting bulk photovoltaic power generation forecasting solar potential assessment resource mapping geographic information systems (GIS) site selection Iran earthquake power distribution network resilience improvement planning water distribution network load disaggregation non-intrusive load monitoring (NILM) dimensionality reduction principal component analysis (PCA) smart home solar renewable thermal load stochastic operation energy storage sustainability desalination renewable energy water–energy-nexus photovoltaic grid-connected system power fluctuation DC bus voltage stabilization prescribed performance command-filtered adaptive backstepping control centralized control architecture DC microgrid distributed control architecture electricity price constraint hybrid control architecture power flow control strategy data pre-processing electricity theft imbalance data parameter tuning smart grid |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Microgrids |
| Record Nr. | UNINA-9910557464603321 |
|
Anvari-Moghaddam Amjad
|
||
| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||