Additive Manufacturing Research and Applications |
Autore | Ertas Atila |
Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
Descrizione fisica | 1 electronic resource (338 p.) |
Soggetto topico |
Technology: general issues
History of engineering & technology |
Soggetto non controllato |
powder-bed additive manufacturing (AM)
powder spreading spreading process map discrete element method (DEM) machine learning GMA additive manufacturing weld reinforcement visual features neural network selective laser melting magnesium alloys properties plasma metal deposition additive manufacturing 316L processing conditions mechanical properties microstructure virgin recycled metal powders laser powder bed fusion laser additive manufacturing 316l ss nickel alloy tribological behavior porosity rough surface ultrasonic testing convolutional neural network deep neural network multi-layer perceptron key performance indicators topology optimization design for additive manufacturing design for additive manufacturing services selective laser melting (SLM) laser powder bed fusion (LPBF) powder particle size distribution particle morphology powder layer density part density flowability Hausner ratio electron beam melting customized implant cost analysis fitting accuracy cranial reconstruction thin wall manufacturing process modelling ultrasonic vibration laser directed energy deposition coating TiC-TMC extremity revision limb salvage surgery 3D printing customized implant powder metallurgy simulated body fluid biomaterial fatigue titanium direct laser deposition Inconel 625 parametrisation microhardness preheating binder jetting sand casting aluminum alloy corrosion pressure drop heat exchanger surface textures dimples drag reduction |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910576882303321 |
Ertas Atila
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Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
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Lo trovi qui: Univ. Federico II | ||
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Advanced Methods of Power Load Forecasting |
Autore | García-Díaz J. Carlos |
Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
Descrizione fisica | 1 electronic resource (128 p.) |
Soggetto topico |
Research & information: general
Physics |
Soggetto non controllato |
Prophet model
Holt–Winters model long-term forecasting peak load prophet model multiple seasonality time series demand load forecast DIMS irregular galvanizing short-term electrical load forecasting machine learning deep learning statistical analysis parameters tuning CNN LSTM short-term load forecast Artificial Neural Network deep neural network recurrent neural network attention encoder decoder online training bidirectional long short-term memory multi-layer stacked neural network short-term load forecasting power system |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910576883403321 |
García-Díaz J. Carlos
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Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
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Lo trovi qui: Univ. Federico II | ||
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Advanced Welding Technology in Metals |
Autore | Oliveira João Pedro |
Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
Descrizione fisica | 1 electronic resource (446 p.) |
Soggetto topico |
Technology: general issues
History of engineering & technology |
Soggetto non controllato |
friction stir welding
dissimilar metals temperature process conditions guidelines resistance heat-assisted ultrasonic welding mechanical properties fracture morphology intermetallic compounds microstructure double-pulsed robot operation fuzzy comprehensive evaluation orthogonal experimental design short-circuiting gas metal arc welding waveform control method weld pool oscillation and flow high speed photograph image processing continuous wavelet transform K-TIG heat input weld formation tensile properties welding procedure optimisation tungsten inert gas welding friction stir processing dissimilar aluminium alloys joints dissimilar metal joints welding high entropy alloys laser welding review tensile strength flexural strength dissimilar aluminium alloys numerical finite-element modeling analytical Rosenthal equation thermal regime AA5456 aluminum alloy fiber laser-MIG hybrid CMT MIG hybrid joints hardness ASTM A553-1 (9% nickel steel) penetration shape Bead on Plate (BOP) pulsed GMAW droplet transfer weld bead formation droplet impact force double-pulsed gas metal arc welding (DP-GMAW) droplet impingement pressure weld pool oscillation grain refinement constitutional supercooling deep neural network high strength steel laser beam welding penetration quality assessment spectrometer welding seam root metal flow behavior root flaw pin length Incomplete penetration weak connection real time infrared thermography camera microhardness plasma arc welding hot wire laser oscillating welding high temperature titanium alloy laser impact welding interfacial bonding mechanism interface wave diffusion TA1/Q235B composite sheets rolling temperature explosive welding microstructures dissimilar welding aluminum fracture friction welding Ti-6Al-4V nitinol intermetallic compound fractography dissimilar metal joining dissimilar friction stir welding AA2024-T4/AA7075-T6Al alloys t-butt joints microstructure evaluation EBSD fracture surfaces texture investment casting alloy 718 hot cracking mechanism Varestraint test |
ISBN | 3-0365-5676-1 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910637792003321 |
Oliveira João Pedro
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Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
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Lo trovi qui: Univ. Federico II | ||
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Advances in Remote Sensing-based Disaster Monitoring and Assessment |
Autore | Im Jungho |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
Descrizione fisica | 1 electronic resource (232 p.) |
Soggetto topico | Research & information: general |
Soggetto non controllato |
wildfire
satellite vegetation indices live fuel moisture empirical model function Southern California chaparral ecosystem forest fire forest recovery satellite remote sensing vegetation index burn index gross primary production South Korea land subsidence PS-InSAR uneven settlement building construction Beijing urban area floodplain delineation inaccessible region machine learning flash flood risk LSSVM China Himawari-8 threshold-based algorithm remote sensing dryness monitoring soil moisture NIR-Red spectral space Landsat-8 MODIS Xinjiang province of China SDE PE groundwater level compressible sediment layer tropical cyclone formation WindSat disaster monitoring wireless sensor network debris flow anomaly detection deep learning accelerometer sensor total precipitable water Himawari-8 AHI random forest deep neural network XGBoost |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557765003321 |
Im Jungho
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Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
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Lo trovi qui: Univ. Federico II | ||
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Advances in Sensors, Big Data and Machine Learning in Intelligent Animal Farming |
Autore | Qiao Yongliang |
Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
Descrizione fisica | 1 electronic resource (228 p.) |
Soggetto topico |
Technology: general issues
History of engineering & technology |
Soggetto non controllato |
pig weight
body size estimation deep learning convolutional neural network pig identification mask scoring R-CNN soft-NMS group-housed pigs audio dairy cow mastication jaw movement forage management precision livestock management equine behavior wearable sensor intermodality interaction class-balanced focal loss absorbing Markov chain cow behavior analysis prediction of calving time cow identification EfficientDet YOLACT++ cascaded model instance segmentation generative adversarial network machine learning automated medical image processing deep neural network animal science CT scans computer vision cow extensive livestock sensorized wearable device monitoring parturition prediction radar sensors radar signal processing animal farming computational ethology signal classification wavelet analysis dairy welfare hierarchical clustering mutual information precision livestock farming time budgets unsupervised machine learning wearables design animal-centered design animal telemetry modularity smart collar design contributions additive manufacturing low-frequency tracking commercial aviary laying hens false registrations tree-based classifier animal behaviour |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910576879803321 |
Qiao Yongliang
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Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
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Lo trovi qui: Univ. Federico II | ||
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Artificial Intelligence for Multimedia Signal Processing |
Autore | Kim Byung-Gyu |
Pubbl/distr/stampa | Basel, : MDPI Books, 2022 |
Descrizione fisica | 1 electronic resource (212 p.) |
Soggetto topico |
Technology: general issues
History of engineering & technology |
Soggetto non controllato |
human-height estimation
depth video depth 3D conversion artificial intelligence convolutional neural networks deep neural network convolutional neural network environmental sound recognition feature combination multimodal joint representation content curation social networks different recommend tasks content based recommend systems scene/place classification semantic segmentation deep learning weighting matrix speech enhancement generative adversarial network relativistic GAN lightweight neural network single image super-resolution image enhancement image restoration residual dense networks visual sentiment analysis sentiment classification graph convolutional networks generative adversarial networks traffic surveillance image processing image de-raining fluency evaluation speech recognition data augmentation variational autoencoder speech conversion heartbeat classification convolutional neural network (CNN) canonical correlation analysis (CCA) Indian Sign Language (ISL) natural language processing avatar sign movement context-free grammar object detection logical story unit detection (LSU) object re-ID computer vision image processing single image artifacts reduction dense networks residual networks channel attention networks |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910595077003321 |
Kim Byung-Gyu
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Basel, : MDPI Books, 2022 | ||
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Lo trovi qui: Univ. Federico II | ||
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Emotion and Stress Recognition Related Sensors and Machine Learning Technologies |
Autore | Kyamakya Kyandoghere |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
Descrizione fisica | 1 electronic resource (550 p.) |
Soggetto topico | Technology: general issues |
Soggetto non controllato |
subject-dependent emotion recognition
subject-independent emotion recognition electrodermal activity (EDA) deep learning convolutional neural networks automatic facial emotion recognition intensity of emotion recognition behavioral biometrical systems machine learning artificial intelligence driving stress electrodermal activity road traffic road types Viola-Jones facial emotion recognition facial expression recognition facial detection facial landmarks infrared thermal imaging homography matrix socially assistive robot EEG arousal detection valence detection data transformation normalization mental stress detection electrocardiogram respiration in-ear EEG emotion classification emotion monitoring elderly caring outpatient caring stress detection deep neural network convolutional neural network wearable sensors psychophysiology sensor data analysis time series analysis signal analysis similarity measures correlation statistics quantitative analysis benchmarking boredom emotion GSR classification sensor face landmark detection fully convolutional DenseNets skip-connections dilated convolutions emotion recognition physiological sensing multimodal sensing flight simulation activity recognition physiological signals thoracic electrical bioimpedance smart band stress recognition physiological signal processing long short-term memory recurrent neural networks information fusion pain recognition long-term stress electroencephalography perceived stress scale expert evaluation affective corpus multimodal sensors overload underload interest frustration cognitive load stress research affective computing human-computer interaction deep convolutional neural network transfer learning auxiliary loss weighted loss class center stress sensing smart insoles smart shoes unobtrusive sensing stress center of pressure regression signal processing arousal aging adults musical genres emotion elicitation dataset emotion representation feature selection feature extraction computer science virtual reality head-mounted display |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557346003321 |
Kyamakya Kyandoghere
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Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
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Lo trovi qui: Univ. Federico II | ||
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Empirical Finance |
Autore | Hamori Shigeyuki |
Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
Descrizione fisica | 1 electronic resource (276 p.) |
Soggetto non controllato |
short-term forecasting
wavelet transform IPO volatility US dollar institutional investors’ shareholdings neural network financial market stress market microstructure text similarity TVP-VAR model Japanese yen convolutional neural networks global financial crisis deep neural network cross-correlation function boosting causality-in-variance flight to quality bagging earnings quality algorithmic trading stop loss statistical arbitrage ensemble learning liquidity risk premium gold return futures market take profit currency crisis spark spread city banks piecewise regression model financial and non-financial variables exports data mining latency crude oil futures prices forecasting random forests wholesale electricity SVM random forest bank credit deep learning Vietnam inertia MACD initial public offering text mining bankruptcy prediction exchange rate asset pricing model LSTM panel data model structural break credit risk housing and stock markets copula ARDL earnings manipulation machine learning natural gas housing price asymmetric dependence real estate development loans earnings management cointegration predictive accuracy robust regression quantile regression dependence structure housing loans price discovery utility of international currency ATR |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910346675203321 |
Hamori Shigeyuki
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MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
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Lo trovi qui: Univ. Federico II | ||
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Energy Data Analytics for Smart Meter Data |
Autore | Reinhardt Andreas |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
Descrizione fisica | 1 electronic resource (346 p.) |
Soggetto topico | Technology: general issues |
Soggetto non controllato |
smart grid
nontechnical losses electricity theft detection synthetic minority oversampling technique K-means cluster random forest smart grids smart energy system smart meter GDPR data privacy ethics multi-label learning Non-intrusive Load Monitoring appliance recognition fryze power theory V-I trajectory Convolutional Neural Network distance similarity matrix activation current electric vehicle synthetic data exponential distribution Poisson distribution Gaussian mixture models mathematical modeling machine learning simulation Non-Intrusive Load Monitoring (NILM) NILM datasets power signature electric load simulation data-driven approaches smart meters text convolutional neural networks (TextCNN) time-series classification data annotation non-intrusive load monitoring semi-automatic labeling appliance load signatures ambient influences device classification accuracy NILM signature load disaggregation transients pulse generator smart metering smart power grids power consumption data energy data processing user-centric applications of energy data convolutional neural network energy consumption energy data analytics energy disaggregation real-time smart meter data transient load signature attention mechanism deep neural network electrical energy load scheduling satisfaction Shapley Value solar photovoltaics review deep learning deep neural networks |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557645803321 |
Reinhardt Andreas
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Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
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Lo trovi qui: Univ. Federico II | ||
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Engineering Fluid Dynamics 2019-2020 : Volume 2 |
Autore | Hjertager Bjørn |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
Descrizione fisica | 1 electronic resource (202 p.) |
Soggetto topico | History of engineering & technology |
Soggetto non controllato |
CFD
gap resonance hydrodynamic forces free surface waves URANS twin-box deck aerodynamics vortex shedding splash lubrication dynamic motion gearbox churning power losses non-inertial coordinate system ground roughness hill shape hill slope large-eddy simulations turbulent flow fields turbulent structure computational fluid dynamics (CFD) large eddy simulations (LES) 3D hill canopy flow fields radiation blocked-off-region procedure heat recuperation anisotropic scattering mie particles numerical simulation horizontal face angle energy dissipation rates stepped spillway ultra-low specific speed magnetic drive pump orthogonal test splitter blades optimized design pressure fluctuation radial force dilution turbulent flame premixed OH CH2O planar laser-induced fluorescence self-excited oscillation jet organ–Helmholtz nozzle pulse waterjet pressure pulsation amplitude WMLES VLSMs LSMs turbulent boundary flow roughness surrogate model deep neural network multiphase flow horizontal pipe liquid holdup pressure gradient coherent structures turbulent boundary layer stability pre-multiplied wind velocity spectrum spatial correlation coefficient field tunnel fires jet fan speed heat release rate aspect ratio smoke movement visibility smoke layer thickness smoke stratification orifice shape vertical jet velocity ratio numerical investigation hydraulic characteristics impinging water jet impinging height numerical calculation swirler optimized genetic algorithms recirculation combustion experimental validation welding spatter distribution shield arc metal welding particle heat transfer fire risk sprinkler fire dynamics simulator (FDS) fire suppression extinguishing coefficient smoke logging smoke spread pipe insulation fire growth rate index scale factor volume fraction ignition heat source maximum heat release rate time to reach maximum HRR (heat release rate) control cylinder energy efficiency clamping pneumatics unsteady RANS simulation two-phase flow riser-induced slug flow LedaFlow VOF-model evacuation interaction between smoke and evacuees inner smoke force modified BR-smoke model twin H-rotor vertical-axis turbines wake instability wavelet transform computational fluid dynamics (CFD), multiphysics heat transfer thermoelectricity automotive traditional market fire spread rate radiant heat flux separation distance rotor stator interaction boundary layer secondary vortex unsteady flow submerged jet climate change renewable energy wind power accelerators turbines power extraction Betz freestream theory hybrid simulation method multi-fluid model discrete element method, sedimentation, bed formation PIV shell-and-tube shell side tube bundle heat exchanger baffle maldistribution |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Altri titoli varianti | Engineering Fluid Dynamics 2019-2020 |
Record Nr. | UNINA-9910557117703321 |
Hjertager Bjørn
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Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
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Lo trovi qui: Univ. Federico II | ||
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