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Advanced Computational Intelligence for Object Detection, Feature Extraction and Recognition in Smart Sensor Environments
| Advanced Computational Intelligence for Object Detection, Feature Extraction and Recognition in Smart Sensor Environments |
| Autore | Woźniak Marcin |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (454 p.) |
| Soggetto topico | Information technology industries |
| Soggetto non controllato |
Traffic sign detection and tracking (TSDR)
advanced driver assistance system (ADAS) computer vision 3D convolutional neural networks machine learning CT brain brain hemorrhage visual inspection one-class classifier grow-when-required neural network evolving connectionist systems automatic design bio-inspired techniques artificial bee colony image analysis feature extraction ship classification marine systems citrus pests and diseases identification convolutional neural network parameter efficiency vehicle detection YOLOv2 focal loss anchor box multi-scale deep learning neural network generative adversarial network synthetic images tool wear monitoring superalloy tool image recognition object detection UAV imagery vehicular traffic flow detection vehicular traffic flow classification vehicular traffic congestion video classification benchmark semantic segmentation atrous convolution spatial pooling ship radiated noise underwater acoustics surface electromyography (sEMG) convolution neural networks (CNNs) hand gesture recognition fabric defect mixed kernels cross-scale cascaded center-ness deformable localization continuous casting surface defects 3D imaging defect detection object detector object tracking activity measure Yolo deep sort Hungarian algorithm optical flows spatiotemporal interest points sports scene CT images convolutional neural networks hepatic cancer visual question answering three-dimensional (3D) vision reinforcement learning human-robot interaction few shot learning SVM CNN cascade classifier video surveillance RFI artefacts InSAR image processing pixel convolution thresholding nearest neighbor filtering data acquisition augmented reality pose estimation industrial environments information retriever sensor multi-hop reasoning evidence chains complex search request high-speed trains hunting non-stationary feature fusion multi-sensor fusion unmanned aerial vehicles drone detection UAV detection visual detection |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557360703321 |
Woźniak Marcin
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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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Advanced Process Monitoring for Industry 4.0
| Advanced Process Monitoring for Industry 4.0 |
| Autore | Reis Marco S |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (288 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
spatial-temporal data
pasting process process image convolutional neural network Industry 4.0 auto machine learning failure mode effects analysis risk priority number rolling bearing condition monitoring classification OPTICS statistical process control control chart pattern disruptions disruption management fault diagnosis construction industry plaster production neural networks decision support systems expert systems failure mode and effects analysis (FMEA) discriminant analysis non-intrusive load monitoring load identification membrane data reconciliation real-time online monitoring Six Sigma multivariate data analysis latent variables models PCA PLS high-dimensional data statistical process monitoring artificial generation of variability data augmentation quality prediction continuous casting multiscale time series classification imbalanced data combustion optical sensors spectroscopy measurements signal detection digital processing principal component analysis curve resolution data mining semiconductor manufacturing quality control yield improvement fault detection process control multi-phase residual recursive model multi-mode model process monitoring |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557491503321 |
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Reis Marco S
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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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Advances in Microalloyed Steels
| Advances in Microalloyed Steels |
| Autore | Uranga Pello |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (236 p.) |
| Soggetto topico | History of engineering & technology |
| Soggetto non controllato |
niobium microalloyed steel
as-cast condition inclusion rare earth elements precipitation steel thermomechanical processing microstructure characterisation mechanical properties molybdenum martensitic steel direct quenching microalloying hardenability toughness grain refinement Hall-Petch coefficient microalloy precipitates hydrogen embrittlement Ti-Mo steel hot deformation constitutive model microstructural evolution microalloyed steels processing microstructural and chemical composition micro-alloyed steels precipitations Zener pinning atomic force microscopy (AFM) precipitation-microstructure correlation EBSD reconstruction methods continuous casting energy absorption mechanical metallurgy niobium reheat process thermo-mechanical controlled processing plate rolling strengthening induction titanium advanced high strength steels HSLA steels precipitation strengthening tempering bainitic ferrite austenite-to-ferrite transformation hot-torsion test coiling simulation medium-carbon steel strength and toughness austenite abnormal grain growth cold-deformation precipitate |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557519703321 |
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Uranga Pello
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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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Continuous Casting
| Continuous Casting |
| Autore | Vynnycky Michael |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (250 p.) |
| Soggetto non controllato |
inclusion motion
air mist spray cooling empirical mode decomposition electromagnetic field solidification final electromagnetic stirring beam blank liquid core reduction tundish thermomechanical coupling flow behavior steel tundish austenite grain coarsening pores annular argon blowing round bloom mold thin-slab cast direct-rolling data stream grain growth control propagation two-phase pinning HTC prediction argon gas distribution baffle flow field bubbles heat transfer inclusions upper nozzle swirling flow tundish crystal hybrid simulation model roll gap value inclusion entrapment fluid flow billet continuous casting mechanism heat flux numerical simulation secondary cooling uneven secondary cooling polycrystalline model mold level continuous casting entrainment slab continuous casting magnetohydrodynamics entrapment asymptotic analysis bulge deformation slab mold segmented roller velocity finite element analysis multi-source information fusion global optimization support vector regression variational mode decomposition multiphase flow molten steel flow PIV |
| ISBN | 3-03921-322-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346839503321 |
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Vynnycky Michael
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Ironmaking and Steelmaking
| Ironmaking and Steelmaking |
| Autore | Li Zushu |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (464 p.) |
| Soggetto non controllato |
artificial neural network
corrosion inclusion control steel-making simulation liquid steel phosphate capacity slag hydrogen TG analysis surface roughness iron sulfate shot peening refining kinetics iso-conversional method oxygen blast furnace Barkhausen noise gas flow rate ductile cast iron toughness self-reduction briquette Mg deoxidation phosphorus distribution ratio iron oxides phase analysis desiliconisation solid flow CaO/Al2O3 ratio surface depression carbothermal reduction rotary hearth furnace torrefied biomass hot metal pre-treatment inclusions microwaves ironmaking reactivity CaO-based slags high-aluminum iron ore oxides HPSR internal crack fluorapatite crystallization rate COREX liquid area Al addition Wilcox-Swailes coefficient plasma arc evaluation of coupling relationship penetration theory silicate crystals ionization degree pellet size prediction model continuous casting direct element method modified NPL model slag film volatile matter crystallite size Al-TRIP steel viscosity anosovite crystals slag formation CO2 emissions integrated steel plant flow pattern high-heat-input welding dephosphorisation copper stave direct reduction shrinkage Cr recovery chemical composition high speed steel material flow 33MnCrTiB gas-based reduction converter bio-coal flat steel sulfur distribution ratio cold experiment secondary refining process re-oxidation vaporization dephosphorization sulfide capacity electroslag cladding hydrogen attack oxygen steelmaking non-metallic inclusions cracks non-contact measurement energy consumption high-manganese iron ore non-metallic inclusion Ca deoxidation Ca-treatment compressive strength (CS) oil-pipeline steel thermal treatment carbon monoxide composite roll crystallization behaviors devolatilization carbon-saturated iron steelmaking factory slag crust combustion high heat input welding ore-carbon briquette activation energy flow velocity kinetics hydrogen plasma casting speed solid and gaseous oxygen hercynite low fluorine iron ore pellets fayalite heat-affected zone CO-CO2 atmosphere and nitrogen smelting reduction high-phosphorus iron ore iron oxide mold flux BaO intragranular acicular ferrite carbon composite pellet electrolytic extraction iron ore carbon dioxide agglomerate vanadium titano-magnetite emission spectrum static process model concentrate structure titanium slag bonding interface fork blast furnace reaction mechanism reduction synergistic reduction injection principal component analysis ultrafine particles exposure |
| ISBN | 3-03921-330-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910367568403321 |
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Li Zushu
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Modeling and Simulation of Metallurgical Processes in Ironmaking and Steelmaking
| Modeling and Simulation of Metallurgical Processes in Ironmaking and Steelmaking |
| Autore | Echterhof Thomas |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (286 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
liquid metals
bubble generation bubble size distribution porous plugs bubble deformation drag force lift force mathematical modelling computational fluid dynamic slag heat recovery heat exchanger drying slag energy content heat recovery technology RecHeat rotary kiln reduction process numerical simulation pre-reduction scrap preheating electric arc furnace continuous charging turbulence modelling RANS/LES/DNS inflow condition model validation model application energy demand regression artificial neural network Gaussian process regression Köhle formula evaluation model quantitative relationship scrap melting mass transfer coefficient steelmaking process direct current arc impingement arc gap gas density electric arc magneto hydrodynamics computational fluid dynamics real-time model estimation model predictive control steel refining mathematical modeling carbon composite briquette blast furnace ironmaking reaction kinetics coke saving direct reduction Midrex HYL Rist diagram energy consumption profile optimization modelling machine learning steelmaking fuzzy modelling evolving modelling continuous casting near net shape casting twin roll (Bessemer) casting horizontal single belt casting |
| ISBN | 3-0365-5154-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910619471103321 |
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Echterhof Thomas
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| MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Refining and Casting of Steel
| Refining and Casting of Steel |
| Autore | Gryc Karel |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (214 p.) |
| Soggetto topico | History of engineering & technology |
| Soggetto non controllato |
oxygen converter slag
chemical composition of slag structural composition of slag continuous casting tundish residence time transient casting swirling flow tundish SEN immersion depth multiphase flow heat transfer continuous casting mold computional fluid dynamiscs (CFD) fuzzy logic optimal cooling steel quality prediction deoxidation inclusions thermodynamics Ti-bearing steel Ca treatment dephosphorization EAF BOF phosphorus equilibrium wide-thick slab non-uniform solidification heavy reduction porosity deformation ladle stirring turbulence slag interface refining mixing time slag opening pipeline steel cooling rate composition Al-TRIP steel slag-steel reaction crystalline morphology equilibrium model CALPHAD thermodynamic model rare earth numerical simulation C80D steel transverse water flux distribution solidification structure reoxidation tundish cover flux Cr2O3 decomposition reaction RH degasser physical Simulation mixing Time PIV flow field |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557290303321 |
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Gryc Karel
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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