Advances in Artificial Intelligence: Models, Optimization, and Machine Learning |
Autore | Leon Florin |
Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
Descrizione fisica | 1 electronic resource (362 p.) |
Soggetto topico |
Research & information: general
Mathematics & science |
Soggetto non controllato |
large margin nearest neighbor regression
distance metrics prototypes evolutionary algorithm approximate differential optimization multiple point hill climbing adaptive sampling free radical polymerization autonomous driving object tracking trajectory prediction deep neural networks stochastic methods applied machine learning classification and regression data mining ensemble model engineering informatics gender-based violence in Mexico twitter messages class imbalance k-nearest neighbor instance-based learning graph neural network deep learning hyperparameters machine learning optimization inference metaheuristics animal-inspired exploration exploitation hot rolled strip steel surface defects defect classification knockout tournament dynamic programming algorithm computational complexity combinatorics intelligent transport systems traffic control spatial-temporal variable speed limit multi-agent systems reinforcement learning distributed W-learning urban motorways multi-agent framework NET framework simulations agent-based systems agent algorithms software design multisensory fingerprint interoperability DeepFKTNet classification generative adversarial networks image classification transfer learning plastic bottle |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Altri titoli varianti | Advances in Artificial Intelligence |
Record Nr. | UNINA-9910580212403321 |
Leon Florin | ||
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Application of Optimization in Production, Logistics, Inventory, Supply Chain Management and Block Chain |
Autore | Sarkar Biswajit |
Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
Descrizione fisica | 1 electronic resource (618 p.) |
Soggetto non controllato |
Supply chain management
benchmarking simulation mathematical analytic tools and techniques system reliability Trade-credit financing order allocation decomposition principle efficiency and scatter plots sustainable healthcare system workplace stress optimization defective rate electric power distribution newsvendor inspection energy air quality triangular fuzzy number quality control supplier selection multi-stage production system robustness offline inspection workers’ efficiency transshipments imperfect products process imperfection Bayesian approach imperfect production inventory modelling and optimization information asymmetry supply chain management framework for agile distributed development human-based production system lead-time reduction staff absenteeism inventory control fuzzy analytical hierarchy process (FAHP) sustainable develop strategies fuzzy optimization preventive maintenance imperfect quality refrigerated trucks petrochemical industries economic order quantity (EOQ) defectives substitute and complimentary items production modelling stochastic-petri net modeling supply chain inventory defective products transport infrastructure data envelopment analysis advertisement e-commerce price discounts recurrent states variable demand machine breakdown industry 4.0 rough interval partial trade credit business performance mixed integer nonlinear programming fixed charge preservation technology investment repairable system multicriteria decision making (MCDM) managerial considerations and managerial decisions four-dimensional transportation problem time series analysis permissible delays in payments integer linear programming process mean backordering stochastic-price dependent demand controllable probabilistic deterioration rate budget constraint likelihood ratio test radio frequency identification rework supplier selection process deteriorating items smart production scheduling green data envelopment analysis (GDEA) Cash discounts learning behavior imperfect manufacturing system inspection cost airborne particulate matter reworking fuzzy demand optimal algorithms distributed development sustainability distribution-free approach decision support systems evolutionary algorithm backorder inspection errors waste reduction resilient supply chain space constraint hybrid manufacturing- remanufacturing strategy edible oil complementary products CLSC management carbon emission change point detection revenue sharing production random defective rate pricing policy agile development inventory mathematical solution procedure reliability threshold outgoing quality disruption risks multi-objective strict quasi-concavity optimized limits uncertain information full trade credit customer acquisition cost Lean manufacturing imperfect repair substitutable products dynamic job-shop scheduling patient’s queue application program interfaces in agile distributed projects internet of things deterioration O2O channel targeting model lean manufacturing multidimensional scaling technical and super-efficiencies pricing |
ISBN | 3-03928-523-8 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910674019903321 |
Sarkar Biswajit | ||
MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Evolutionary Algorithms in Engineering Design Optimization |
Autore | Greiner David |
Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
Descrizione fisica | 1 electronic resource (314 p.) |
Soggetto topico |
Technology: general issues
History of engineering & technology |
Soggetto non controllato |
Automatic Voltage Regulation system
Chaotic optimization Fractional Order Proportional-Integral-Derivative controller Yellow Saddle Goatfish Algorithm two-stage method mono and multi-objective optimization multi-objective optimization optimal design Gough–Stewart parallel manipulator performance metrics diversity control genetic algorithm bankruptcy problem classification T-junctions neural networks finite elements analysis surrogate beam improvements beam T-junctions models artificial neural networks (ANN) limited training data multi-objective decision-making Pareto front preference in multi-objective optimization aeroacoustics trailing-edge noise global optimization evolutionary algorithms nearly optimal solutions archiving strategy evolutionary algorithm non-linear parametric identification multi-objective evolutionary algorithms availability design preventive maintenance scheduling encoding accuracy levels plastics thermoforming sheet thickness distribution evolutionary optimization genetic programming control differential evolution reusable launch vehicle quality control roughness measurement machine vision machine learning parameter optimization distance-based mutation-selection real application experimental study global optimisation worst-case scenario robust min-max optimization optimal control multi-objective optimisation robust design trajectory optimisation uncertainty quantification unscented transformation spaceplanes space systems launchers |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910566486903321 |
Greiner David | ||
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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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 | ||
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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 | ||
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Methods in Computational Biology |
Autore | Carlson Ross |
Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
Descrizione fisica | 1 electronic resource (214 p.) |
Soggetto non controllato |
inosine
immune checkpoint inhibitor geometric singular perturbation theory simulation BioModels Database ADAR calcium current bifurcation analysis bacterial biofilms nonlinear dynamics explanatory model turning point bifurcation oscillator workflow bioreactor integrated modeling modeling methods elementary flux modes visualization multiscale systems biology evolutionary algorithm metabolic model differential evolution reduced-order model computational model gut microbiota dysbiosis canard-induced EADs computational biology metabolic modelling methods SREBP-2 mechanistic model systems modeling biological networks macromolecular composition provenance flux balance analysis immunotherapy compartmental modeling immuno-oncology metabolic network visualization mechanism bistable switch Clostridium difficile infection bioreactor operation optimization microRNA targeting CFD simulation biomass reaction RNA editing ordinary differential equation metabolic modeling mass-action networks hybrid model multiple time scales quantitative systems pharmacology (QSP) mathematical modeling microRNA cancer parameter optimization Hopf bifurcation breast |
ISBN | 3-03921-164-1 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910346689103321 |
Carlson Ross | ||
MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Micro/Nanofluidic and Lab-on-a-Chip Devices for Biomedical Applications |
Autore | Carvalho Violeta |
Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
Descrizione fisica | 1 electronic resource (232 p.) |
Soggetto topico | Medicine |
Soggetto non controllato |
protein biomarker
microarray microfluidic cassette multiplex measurement immunoassay point-of-care testing microfluidic device small intestine ex vivo histology embedded resin sectioning peptide biosensor lab-on-a-chip label-free detection peptide aptamers protein biomarkers microfluidic biochip troponin T computational simulations drug discovery organ-on-a-chip microfluidic devices preclinical models numerical simulations automation non-enzymatic DNA amplification L-DNA microfluidic fluorescence paper microfluidics sweat sensing hydrogels lactate osmotic pumping evaporation capillary wicking biochemical assay microfluidics cell trap RBC evolutionary algorithm generative design artificial intelligence organ-on-chip liver-on-chip liver disease multi-level microfluidic device live cell imaging long-term microscopy imaging focus drifting immersion oil viscosity bacterial population dynamics single-cell studies E. coli mother machine computational fluid dynamics cancer-on-chip xenograft colorectal cancer pharmacodynamics pharmacokinetics drug efficacy oxaliplatin microfabrication microphysiological system biophysical stimuli biochemical stimuli in vitro cell culture cortical neurons hippocampal neurons electrical stimulation Micro-Electrode Arrays engineered neuronal networks polydimethylsiloxane microchannels in vivo micro bioreactor additive manufacturing poly-(ethylene glycol)-diacrylate biocompatibility COVID-19 diagnosis image analysis PCR SARS-CoV-2 |
ISBN | 3-0365-6099-8 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910639996703321 |
Carvalho Violeta | ||
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Recent Advances in Embedded Computing, Intelligence and Applications |
Autore | Portilla Jorge |
Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
Descrizione fisica | 1 electronic resource (188 p.) |
Soggetto topico | Information technology industries |
Soggetto non controllato |
high-level synthesis
HLS SDSoC support vector machines SVM code refactoring Zynq ZedBoard extreme edge embedded edge computing internet of things deployment hardware design IoT security Contiki-NG trustability embedded systems collaborative filtering recommender systems parallelism reconfigurable hardware neuroevolution block-based neural network dynamic and partial reconfiguration scalability reinforcement learning embedded system artificial intelligence hardware acceleration neuromorphic processor power consumption harsh environment fog computing edge computing cloud computing IoT gateway LoRa WiFi low power consumption low latency flexible smart port quantisation evolutionary algorithm neural network FPGA Movidius VPU 2D graphics accelerator line-drawing Bresenham’s algorithm alpha-blending anti-aliasing field-programmable gate array deep learning performance estimation Gaussian process |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910576881603321 |
Portilla Jorge | ||
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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