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Advanced Machine Learning Applications in Big Data Analytics
| Advanced Machine Learning Applications in Big Data Analytics |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2023 |
| Descrizione fisica | 1 online resource (654 p.) |
| Soggetto topico |
History of engineering & technology
Technology: general issues |
| Soggetto non controllato |
1D quadratic chaotic system
adaptive learning adversarial attacks ARMA attentional mechanisms BaaS system bagging model behavior detection blockchain consensus algorithm border patrol BP butterfly optimization algorithm capacitated vehicle routing planning CBAM CBCFI classification algorithms cloud clustering algorithms CNN color image combined prediction model community clustering complementary ensemble empirical mode decomposition (CEEMD) composite multi-scale dispersion entropy computer vision concept drift confidentiality management convolutional neural networks coupled map lattice COVID-19 crisscross search data stream mining deep belief network deep feature deep learning design science research differential evolution digital archives disease classification DNA coding DNA computing DNA sequences design document classification dual-update strategy ELM embedding propagation emotion-cause pair extraction energy storage error coefficient event extraction event trigger words event type extreme learning machine fault diagnosis feature selection financial time series forecasting flight safety forecasting forex GA generative adversarial network global optimization GM graph attention network graph convolutional network graph neural network gravity search hash function health Hemerocallis citrina Baroni heterogeneous graph hierarchical clustering hierarchical model high-plateau flight hybrid model hyperspectral image classification image classification image encryption improved matrix particle swarm optimization algorithm (IMPSO) incremental learning information system information systems infrared Jaccard distance KNN least squares method lightweight neural networks long short-term memory network machine learning maturity detection mean absolute error mean-semivariance model membership grade meta-heuristic model predictive control multi-behavior recommendation multi-strategy MultiRocket n/a neural architecture search neural networks NLP object detection online learning opposition-based learning output optimization overseas Chinese associations particle swarm optimization peak shaving and frequency regulation performance analysis pilot abnormal behavior pixel level polymorphic mapping portfolio optimization principal component analysis PROPHET PSO quantum dynamics quick access recorder random replacement ridge regression saving mileage sequential recommendation service level agreement short-term traffic-flow forecasting signal-to-noise ratio distance sliding window spatial-temporal systems splicing model stacking model stock announcement news stock return support vector machine support vector machine swarm intelligence support vector machines swarm intelligence talent stability prediction target detection time series time series classification tomato leaf traffic flow forecasting transaction priority variational mode decomposition warning system whale optimization algorithm YOLOv4 algorithm YOLOv5 algorithm |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910743276603321 |
| MDPI - Multidisciplinary Digital Publishing Institute, 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Algorithms and Methods for Designing and Scheduling Smart Manufacturing Systems
| Algorithms and Methods for Designing and Scheduling Smart Manufacturing Systems |
| Autore | Modrak Vladimir |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (200 p.) |
| Soggetto topico |
History of engineering and technology
Technology: general issues |
| Soggetto non controllato |
assembly line balancing
Baltic bottleneck station candidate order-based genetic algorithm cell formation cell manufacturing design cluster algorithm combinatorial optimization customization cutting force decision-making design of experiments digital platforms electrochemical machining (ECM) facility layout flexible job-shop scheduling problem genetic algorithm grass-hooper optimization algorithm grey wolf optimizer (GWO) group technology harmony search algorithm Hastelloy X heuristic approach hybrid bat algorithm insurance liquid nitrogen machine and process selection makespan material removal rate (MRR) metaheuristic algorithm Monel 400 alloys moth-flame optimization algorithm moth-flame optimization algorithm (MFO) multi-criteria assessment multichromosome n/a nickel presence (NP) operational complexity optimization optimization problem output rate overrunning clutch assembly personalization production line balancing rate selective assembly surface roughness the distributed assembly permutation flowshop scheduling problem tolerance allocation turning univariate search method variable neighborhood descent whale optimization algorithm |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910580213603321 |
Modrak Vladimir
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Assessment of Renewable Energy Resources with Remote Sensing
| Assessment of Renewable Energy Resources with Remote Sensing |
| Autore | Martins Fernando Ramos |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (244 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
artificial neural networks
Baltic area climate cloud cloud coverage cloud detection coastal wind measurements coastline computational design method convection CSP plants data processing digitized image processing electrical resistivity tomography extreme value analysis feature engineering feature importance forecasting geophysical prospecting geothermal energy GES-CAL software global radiation graphical user interface software Hazaki Oceanographical Research Station hydropower reservoir image processing lake breeze influence light gradient boosting machine machine learning machine learning techniques metaheuristic multistep-ahead prediction parameter extraction passive design strategy photovoltaic power plant plan position indicator point cloud data potential well field location remote sensing remote sensing data acquisition renewable energy resource assessment and forecasting satellite scanning LiDAR scatterometer shading envelopes sky camera smart island solar energy solar energy resource solar irradiance enhancement solar irradiance estimation solar irradiance forecasting solar photovoltaic solar radiation forecasting statistical analysis surface solar radiation time domain electromagnetic method total sky imagery velocity volume processing voxel-design approach whale optimization algorithm wind speed |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557427903321 |
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Martins Fernando Ramos
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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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Entropy in Image Analysis / Amelia Carolina Sparavigna
| Entropy in Image Analysis / Amelia Carolina Sparavigna |
| Autore | Sparavigna Amelia Carolina |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (456 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
keyframes
time-delay whale optimization algorithm multilevel thresholding multi-exposure image fusion additive manufacturing patch structure decomposition ultra-sound images 3D scanning Arimoto entropy contrast enhancement spatial filling factor depth maps image processing 3D prints differential evolution field of experts normalized divergence measure image privacy multiscale top-hat transform q-exponential texture information entropy diffusion hybrid algorithm Weibull statistics adaptive selection nonextensive entropy computer aided diagnostics fatty liver random forest DNA encoding low contrast entropy Minkowski island fuzzy entropy free-form deformations person re-identification chaotic system DNA computing pavement information entropy discrete entropy Tsallis statistics video skimming prime-indexed primes natural scene statistics (NSS) Hénon map q-sigmoid image entropy Shannon entropy macrotexture Shannon’s entropy binary image multi-feature fusion image analysis uncertainty assessment non-rigid registration hash layer Cantor set dynamic filtering deep neural network security analysis multiple-image encryption Hamming distance blind image quality assessment (BIQA) q-Gaussian remote sensing decay trend chaotic cryptography chaotic strategy cross-entropy loss random insertion metabolic syndrome sign languages generalized entropies relevance feedback image retrieval two-dimensional chaotic economic map cryptanalysis infrared images 3D Latin cube SHA-256 hash value gradient distributions structural entropy discrete cosine transform (DCT) chaotic map hepatic steatosis machine vision electromagnetic field optimization security image segmentation quantization loss colonoscopy video summarization permutation Kapur’s entropy surface quality assessment permutation-diffusion Ramanujan primes Rényi entropies chosen-plaintext attack image encryption dynamic index color image segmentation ultrasound Otsu method sigmoid reconstruction image information entropy 3-D digital imaging positron emission tomography medical imaging |
| ISBN |
9783039210930
3039210939 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346845003321 |
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Sparavigna Amelia Carolina
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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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 |
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Alavi Amir
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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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 |
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Wang Gai-Ge
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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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Intelligent Sensors for Human Motion Analysis
| Intelligent Sensors for Human Motion Analysis |
| Autore | Krzeszowski Tomasz |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (382 p.) |
| Soggetto topico |
History of engineering and technology
Technology: general issues |
| Soggetto non controllato |
3D human mesh reconstruction
3D human pose estimation 3D multi-person pose estimation absolute poses action units aggregation function anomaly detection artifact classification artifact detection artificial intelligence assessment Azure Kinect balance Berg Balance Scale BILSTM biometrics camera-centric coordinates computer vision convolutional neural networks COVID-19 cyber-physical systems data augmentation deep learning deep neural network deep-learning development diagnosis elderly EMG F-Formation facial expression recognition facial landmarks fall risk detection features fusion features selection FFNN FMCW fuzzy inference gait analysis gait parameters gait recognition gap filling generalization graph convolutional networks grey wolf optimization GRU human action recognition human motion analysis human motion modelling human tracking Kinect v2 kinematics knowledge measure LSTM machine learning markerless markerless motion capture MFCC modular sensing unit motion capture movement tracking n/a neural networks optical sensing principle particle swarm optimization pattern recognition plantar pressure measurement pose estimation posture detection precedence indicator recognition reconstruction regularized discriminant analysis RGB-D sensors robot rule induction skeletal data socially occupied space telemedicine time series classification vital sign whale optimization algorithm XGBoost Zed 2i |
| ISBN | 3-0365-5074-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910619469003321 |
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Krzeszowski Tomasz
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| MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Technology and Management Applied in Construction Engineering Projects
| Technology and Management Applied in Construction Engineering Projects |
| Autore | Szóstak Mariusz |
| 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 |
earned value method—EVM
time variances cost variances schedule cadastre land surveyor construction surveying building layout polar coordinates stake-out methods total station construction reports construction contracts natural language processing machine learning simulation modeling bridge expansion and contraction installation (BECI) decision making (DM) technical condition assessment analytic hierarchy process (AHP) whale optimization algorithm Tent chaotic mapping Lévy flight resilience baseline schedule uncertainty taxonomy construction project PERT theory of constraint (TOC) drum-buffer-rope (DBR) construction schedule monitoring progress construction phase automated monitoring digital tools as-built as-planned efficiency risk randomization association analysis tabu search delay time schedules project risk construction project management Time-at-Risk (TaR) investment-construction process model Monte Carlo simulation decision-making process decision modelling in construction activities decisions in civil engineering liquid cooling system flow calibration differential pressure experimental method aircraft building information modelling (BIM) automatisation facilities design domestic plumbing and sanitation management project cost investment schedule risk mitigation randomness fuzziness health and safety control |
| ISBN | 3-0365-6040-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910639990603321 |
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Szóstak Mariusz
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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