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.
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 electronic resource (206 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
machine learning
metagenomics bioinformatics CTX-M data mining cluster clinical implications diabetes epidemiology forecast PART Decision table Weka real-life patients regression ear detection computer vision convolutional neural network image recognition video analysis gene clustering swarm intelligence biological functions detection informative genes fuel cell hydrogen energy intelligent systems hybrid systems Artificial Neural Networks power management Machine Learning personality assessment gradient boosting Affective Computing transposable elements metrics deep learning detection classification mitochondrial protein bi-directional LSTM plasmodium falciparum Particle Swarm Optimization Harmony Search parameter estimation Arabidopsis thaliana clinical data feature selection genetic programming evolutionary computation dynamic models evolutionary computing derivative-free optimization metabolism glycolysis 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 | ||
| ||
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 |
|
Gabbay Freddy
|
||
| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Distributed Energy Resources Management 2018
| Distributed Energy Resources Management 2018 |
| Autore | Vale Zita |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (286 p.) |
| Soggetto non controllato |
virtual power plant
bidding strategy local flexibility market multi-period optimal power flow flexibility service occupant comfort unbalanced networks decentralized energy management system autonomous control optimization energy storage microgrids energy efficiency distributed energy control system DSM optimal scheduling adaptability synergistic optimization strategy teaching-learning distributed generation energy storage system stackelberg dynamic game IoT (Internet of Things) supply and demand comprehensive benefits distributed generator frequency bus-signaling active distribution networks swarm intelligence wind multi-agent technology solar power system management fault-tolerant control indoor environment quality multi-temporal optimal power flow multi-agent synergetic estimation smart grids local energy trading active power control prosumer microgrid trade agreements healthy building smart grid nonlinear control algorithm design and analysis batteries droop control distributed energy resources aggregator multi-agent system frequency control particle swarm optimization distribution system operator building climate control low voltage networks demand Response clustering distributed coordination demand-side management demand response |
| ISBN | 3-03928-171-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910372783203321 |
|
Vale Zita
|
||
| MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Energy Harvesting and Energy Storage Systems
| Energy Harvesting and Energy Storage Systems |
| Autore | Rajput Shailendra |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (256 p.) |
| Soggetto topico |
Research & information: general
Physics |
| Soggetto non controllato |
photovoltaic
parameter extraction single-diode model double-diode model swarm intelligence TSA wind energy renewable resources Black-Scholes model AC-DC converter shunt regulator full bridge rectifier electrostatic vibration energy harvesting fully integrated IoT charge pump energy harvesting thermoelectric energy storage system (ESS) battery management system (BMS) battery efficiency state of charge (SoC) state of health (SoH) on-chip integration power management supercapacitor storage unit unbalanced distribution networks linear loads non-linear loads total harmonic distortion harmonic power flow proton exchange membrane fuel cell parameter identification optimization energy storage arithmetic optimization microgrid PLL RTDS direct power control fuzzy logic voltage source inverter IoMT devices energy autonomous wearables energy-storage energy management fog edge computing task offloading deep learning reinforced learning IoMT sooty tern optimization distributed generation equilibrium optimization technique wind turbines photovoltaics biomass generators |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910566473503321 |
|
Rajput Shailendra
|
||
| 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 electronic resource (424 p.) |
| Soggetto non controllato |
individual updating strategy
integrated design global optimum flexible job shop scheduling problem whale optimization algorithm EHO bat algorithm with multiple strategy coupling (mixBA) multi-objective DV-Hop localization algorithm optimization rock types variable neighborhood search biology average iteration times CEC2013 benchmarks slicing tree structure firefly algorithm (FA) benchmark single loop evolutionary computation memetic algorithm normal cloud model 0-1 knapsack problems elite strategy diversity maintenance material handling path artificial bee colony algorithm (ABC) urban design entropy evolutionary algorithms (EAs) monarch butterfly optimization numerical simulation architecture set-union knapsack problem Wilcoxon test convolutional neural network global position updating operator particle swarm optimization computation minimum load coloring topology structure adaptive multi-swarm minimum total dominating set mutation operation shape grammar greedy optimization algorithm ?-Hilbert space genetic algorithm large scale optimization large-scale optimization NSGA-II-DV-Hop constrained optimization problems (COPs) first-arrival picking transfer function SPEA 2 stochastic ranking (SR) wireless sensor networks (WSNs) acceleration search convergence point fuzzy c-means evolutionary algorithm success rates Artificial bee colony particle swarm optimizer random weight range detection adaptive weight large-scale automatic identification cloud model swarm intelligence evolutionary multi-objective optimization DV-Hop algorithm bat algorithm (BA) Friedman test quantum uncertainty property facility layout design local search deep learning Y conditional cloud generator benchmark functions discrete algorithm dispatching rule DE algorithm nonlinear convergence factor energy-efficient job shop scheduling t-test evolution dimension learning global optimization confidence term elephant herding optimization moth search algorithm evolutionary |
| 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 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 | ||
| ||
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 |
|
Wang Gai-Ge
|
||
| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Renewable Energies for Sustainable Development
| Renewable Energies for Sustainable Development |
| Autore | Esteban María Dolores |
| 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 |
RE prospects and challenges
RE regulations and policy RE in Bangladesh geothermal energy induced seismicity fault Basel poroelasticity HEM PV sizing Load scheduling Dijkstra Algorithm BPSO GA optimization wind farm pumped storage isolated systems power plant efficiency compact pigeon-inspired optimization maximum short-term generation swarm intelligence hydroelectric power station strategic planning site selection process offshore wind farms geographic information systems portfolio analysis Greece renewable energy photovoltaic generation battery storage reliability evaluation Monte Carlo Simulation photovoltaics (PV) biomass off-grid electrification feasibility analysis cost analysis simple payback period CO2 emissions residential energy-related CO2 emissions less developed regions urban and rural regions LMDI Tapio decoupling Jiangxi province Hybrid energy system wind power photovoltaic hosting capacity distribution system integrated system floating buoy offshore structure wave energy converter non-negative spring stiffness renewable–growth hypothesis renewable electricity economic growth renewable manufacturing energy–growth nexus inverters converters distributed generators utility grid hierarchical control PHEV NEDC WLTP energy consumption NEV credit regulation subsidy policy frequency control power system stability variable renewable energy sources wind power plants photovoltaic power plants wave energy converters heaving point absorber design and performance spatial and temporal variation emergy emergetic ternary diagrams sustainability environmental loading energy systems assessment solar updraft tower artificial neural network principal component analysis wave overtopping rate photovoltaic spatial planning photovoltaic carrying capacity influence factors optimization strategies carrying capacity distribution planning adjustment renewable energy resources grid integrated solar PV systems sustainable power generation maximum power point tracking grid reliability and voltage source converter |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557333703321 |
|
Esteban María Dolores
|
||
| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Swarm Robotics
| Swarm Robotics |
| Autore | Spezzano Giandomenico |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (310 p.) |
| Soggetto non controllato |
self-organization
signal source localization multi-robot system sensor deployment parallel technique shape normalization genetic algorithm multiple robots optimization improved potential field optimal configuration autonomous docking asymmetrical interaction comparison behaviors patterns self-assembly robots congestion control surface-water environment target recognition coordinate motion UAV swarms formation reconfiguration swarm robotics swarm intelligence artificial bee colony algorithm obstacle avoidance fish swarm optimization search algorithm robotics time-difference-of-arrival (TDOA) formation mobile robots formation control meta-heuristic event-triggered communication search virtual structure 3D model identification surveillance event-driven coverage scale-invariant feature transform system stability Swarm intelligence algorithm bionic intelligent algorithm unmanned aerial vehicle underwater environment artificial flora (AF) algorithm swarm behavior weighted implicit shape representation Cramer-Rao low bound (CRLB) environmental perception particle swarm optimization modular robots cooperative target hunting virtual linkage multi-AUV consensus control panoramic view nonlinear disturbance observer sliding mode controller path optimization Swarm Chemistry multi-agents |
| ISBN | 3-03897-923-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910674019203321 |
|
Spezzano Giandomenico
|
||
| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||