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Advanced Greenhouse Horticulture : New Technologies and Cultivation Practices
| Advanced Greenhouse Horticulture : New Technologies and Cultivation Practices |
| Autore | Koukounaras Athanasios |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (200 p.) |
| Soggetto topico |
Biology, life sciences
Research & information: general |
| Soggetto non controllato |
abiotic factors
accumulated radiation method Allium porrum antioxidant capacity antioxidants bioactive ingredients biocontrol agent (BCA) biomass Brassica juncea Brassicaceae brewery chemical properties Citrullus lanatus classification tree container substrates controlled environment controlled environment agriculture Dahlia ecological theory extended photoperiod feedback irrigation system fuzzy control system GA3 Gerbera greenhouse hedge mustard hydroponics hyperspectral irrigation dose Lactuca sativa leafy vegetables light light emitting diodes lycopene machine vision marketable seedlings metro-mix minerals molecular mechanisms non-phototrophic bacteria Ocimum basilicum optimal production organic management ornamental pathogens phyllosphere physical properties phyto-sensing plant metabolism plant morphology precision irrigation production protected cultivation quality indicators reclaimed wastewater reflectance index remote sensing root growth root/shoot ratio Rudbeckia selenium semi-transparent photovoltaic modules Sisymbrium officinale soilless culture soilless production sugars tomato transpiration urban agriculture vegetable grafting vegetables water use efficiency |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Advanced Greenhouse Horticulture |
| Record Nr. | UNINA-9910557297203321 |
Koukounaras Athanasios
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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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Algorithms for Fault Detection and Diagnosis
| Algorithms for Fault Detection and Diagnosis |
| Autore | Ferracuti Francesco |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (130 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
adaptive template matching
amplitude-aware permutation entropy battery faults battery management system battery safety combined prediction damage digital image processing edge detection fault diagnosis fault diagnostic algorithms fault prediction genetic algorithm gray level co-occurrence matrix instantaneous angular speed Kalman filter least squares support vector machine lithium-ion battery machine diagnostics machine vision misalignment motion tracking multiscale entropy multivariate grey model parametric template modeling quantum genetic algorithm random forest reusable launch vehicle rolling bearings self-organization map structural health monitoring SURVISHNO 2019 challenge thruster fault detection thruster valve failure video tachometer |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557630403321 |
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Ferracuti Francesco
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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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Applications of Computer Vision in Automation and Robotics
| Applications of Computer Vision in Automation and Robotics |
| Autore | Okarma Krzysztof |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (186 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
3D prints
additive manufacturing aerial imagery air nozzles attention augmented reality calibration combined metrics component association computer vision contour point distribution convolutional neural network convolutional neural networks deep learning defect inspection distribution domain adaptation edge gradient direction encoder-decoder feature descriptor feature region feature subset selection fertilizers generative adversarial networks head mounted displays histogram image analysis image processing image registration industrial and robotic vision systems industrial objects infrared pedestrian detection k-NN algorithm machine vision monitoring optical see-through display part recognition recycling semantic segmentation sorting structural similarity surface quality assessment transparent plastic granulate video analysis visual inspection and diagnostics |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557644803321 |
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Okarma Krzysztof
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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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Challenges and Opportunities in Applied System Innovation
| Challenges and Opportunities in Applied System Innovation |
| Autore | Douligeris Christos |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (230 p.) |
| Soggetto topico |
Environmental science, engineering and technology
Technology: general issues |
| Soggetto non controllato |
6GCIoHE theoretical framework
6GIIoE applications 6GIIoE challenges 6GIIoE priorities 6GIIoE theoretical framework artificial and human intelligence artificial intelligence assembly automotive industry applications bridge change management circular building circular economy circular resource flows civil engineering classification clustering cognitive data intelligence cognitive healthcare cognitive load cognitive manufacturing common welfare concurrent engineering construction construction engineering COVID-19 data science decision-support model design strategies digital model digital twin digitization electric power industry employee motivation employee satisfaction expansion joint health management health-saving strategies human resources human-computer interaction implementation strategies Industry 4.0 information system joint gap labor productivity line-scan camera machine learning machine vision manufacturing industry applications predictive analytics predictive maintenance process planning systems quality of life risks and risk management security sensor sequential methodology smart bridge maintenance equipment socio-political assessment software tool statistical data processing structural health monitoring sustainable development system optimization tiny machine learning |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910580215303321 |
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Douligeris Christos
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Design and Application of Additive Manufacturing
| Design and Application of Additive Manufacturing |
| Autore | Paz Rubén |
| Descrizione fisica | 1 online resource (204 p.) |
| Soggetto topico |
History of engineering and technology
Technology: general issues |
| Soggetto non controllato |
15-5 PH stainless steel
316 L stainless steel 3D geometry modelling 3d printing 3D printing 4D printing ABS additive manufacturing aging aluminum aseptic loosening balancing Bayesian optimization bead on plate test biomimicry bone remodelling classifier closed impeller composite film defocusing deformation mechanism density energy absorption femoral component finite element analysis finite element thermal analysis flexible pressure sensor hybrid technology IN 625 in-situ neutron diffraction infill density internal structures investment casting lattice low-cycle fatigue machine vision martensite transformation material extrusion material extrusion additive manufacturing mechanical properties melt pool microstructure model calibration MPFL pumps n/a nickel-based superalloy non-destructive testing PETG PLA polylactic acid polymer rheology powder spreading defect print pattern scaffold selective laser melting shape changing behavior shape memory polymers SLM stress shielding structural joints tensile testing thermal joining thermographic image tissue engineering topological optimization total hip replacement triply periodic minimal surface |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910595071603321 |
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Paz Rubén
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| 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 Algorithms in Engineering Design Optimization
| Evolutionary Algorithms in Engineering Design Optimization |
| Autore | Greiner David |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (314 p.) |
| Soggetto topico |
History of engineering & technology
Technology: general issues |
| Soggetto non controllato |
accuracy levels
aeroacoustics archiving strategy artificial neural networks (ANN) limited training data Automatic Voltage Regulation system availability bankruptcy problem beam improvements beam T-junctions models Chaotic optimization classification control design differential evolution distance-based diversity control encoding evolutionary algorithm evolutionary algorithms evolutionary optimization experimental study finite elements analysis Fractional Order Proportional-Integral-Derivative controller genetic algorithm genetic programming global optimisation global optimization Gough-Stewart launchers machine learning machine vision min-max optimization mono and multi-objective optimization multi-objective decision-making multi-objective evolutionary algorithms multi-objective optimisation multi-objective optimization mutation-selection nearly optimal solutions neural networks non-linear parametric identification optimal control optimal design parallel manipulator parameter optimization Pareto front performance metrics plastics thermoforming preference in multi-objective optimization preventive maintenance scheduling quality control real application reusable launch vehicle robust robust design roughness measurement sheet thickness distribution space systems spaceplanes surrogate T-junctions trailing-edge noise trajectory optimisation two-stage method uncertainty quantification unscented transformation worst-case scenario Yellow Saddle Goatfish Algorithm |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910566486903321 |
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Greiner David
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Information Theory and Its Application in Machine Condition Monitoring
| Information Theory and Its Application in Machine Condition Monitoring |
| Autore | Li Yongbo |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (194 p.) |
| Soggetto topico |
History of engineering and technology
Technology: general issues |
| Soggetto non controllato |
adaptive particle swarm optimization (APSO)
anomaly detection bearing combined fault diagnosis cubic spline interpolation envelope D-S evidence theory deep learning domain adaptation empirical wavelet transform fault detection fault diagnosis gearbox grey wolf optimizer Huffman-multi-scale entropy (HMSE) improved artificial bee colony algorithm information fusion JS divergence kernel density estimation low pass FIR filter LSSVM machine vision misalignment MobileNetV3 multi-source heterogeneous fusion n/a optimal bandwidth partial transfer peak extraction rail surface defect detection rotating machinery satellite momentum wheel signal interception subdomain support vector machine support vector machine (SVM) transfer learning wind turbines YOLOv4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910566460803321 |
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Li Yongbo
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Machine Learning and Embedded Computing in Advanced Driver Assistance Systems (ADAS) / John Ball, Bo Tang
| Machine Learning and Embedded Computing in Advanced Driver Assistance Systems (ADAS) / John Ball, Bo Tang |
| Autore | Ball John |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (344 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
FPGA
recurrence plot (RP) residual learning neural networks driver monitoring navigation depthwise separable convolution optimization dynamic path-planning algorithms object tracking sub-region cooperative systems convolutional neural networks DSRC VANET joystick road scene convolutional neural network (CNN) multi-sensor p-norm occlusion crash injury severity prediction deep leaning squeeze-and-excitation electric vehicles perception in challenging conditions T-S fuzzy neural network total vehicle mass of the front vehicle electrocardiogram (ECG) communications generative adversarial nets camera adaptive classifier updating Vehicle-to-X communications convolutional neural network predictive Geobroadcast infinity norm urban object detector machine learning automated-manual transition red light-running behaviors photoplethysmogram (PPG) panoramic image dataset parallel architectures visual tracking autopilot ADAS kinematic control GPU road lane detection obstacle detection and classification Gabor convolution kernel autonomous vehicle Intelligent Transport Systems driving decision-making model Gaussian kernel autonomous vehicles enhanced learning ethical and legal factors kernel based MIL algorithm image inpainting fusion terrestrial vehicle driverless drowsiness detection map generation object detection interface machine vision driving assistance blind spot detection deep learning relative speed autonomous driving assistance system discriminative correlation filter bank recurrent neural network emergency decisions LiDAR real-time object detection vehicle dynamics path planning actuation systems maneuver algorithm autonomous driving smart band the emergency situations two-wheeled support vector machine model global region biological vision automated driving |
| ISBN |
9783039213764
3039213768 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910367757403321 |
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Ball John
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Machining-Recent Advances, Applications and Challenges / Luis Norberto López de Lacalle, Gorka Urbicain
| Machining-Recent Advances, Applications and Challenges / Luis Norberto López de Lacalle, Gorka Urbicain |
| Autore | López de Lacalle Luis Norberto |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (554 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
in situ estimation
modeling simulation variable pitch X-ray diffraction cutting edge preparation plastic zone flank milling surface roughness power consumption cutting tool fatigue additive manufacturing optimization trochoidal step surface topography sinusoidal grid milling desirability approach electrochemical discharge machining fast simulation Inconel 718 secondary adhesion wear machinability hybrid stacks drilling cooling rate shape memory alloy residual stress diameter variation turning computer vision workholding on-machine monitoring chip morphology dry-cutting turning machine tools SACE-drilled hole depth residual stresses cryogenic machining prime machining costs PVD Ti0.41Al0.59N/Ti0.55Al0.45N coating single point incremental sheet forming butt weld joint dish angle machining characteristic DSC test segmented diamond blade cutting tool wear ultra-precision machining ceramics shape memory effect current density fractal dimension crack growth rate drilling force–temperature correlation through analytical modeling finite element model analytic solution aluminium taguchi method multi-objective optimization real-time prediction Gamma-TiAl cutting temperature EN 31 steel superalloys material-removal rate glass machining corner radius thin-wall machining vibration GPU titanium aluminides minimum quantity lubrication machining temperatures at two deformation zones finite element method roughness slight materials high computational efficiency dynamic adhesive heat transfer analysis connections stability vibrations trochoidal milling magnesium alloys specific cutting energy laser-assisted machining artificial neutral network microscopic analysis Milling stability topography weight loss modal testing sustainable machining dry damping ductile machining Inconel® 718 modelling cutting edge microgeometry electropulsing PCD cutting geometry fixture artificial neural networks spark-assisted chemical engraving machining specific energy consumption heat transfer search algorithm material removal rate prediction CFRP/UNS A92024 tool wear titanium alloy multi-beam laser chip compression ratio design of experiments concrete ANN titanium chatter response surface methodology machine tool superelastic nitinol optimal machining conditions machine vision steel sheet cutting process fracture mechanism self-excitation tool insert condition induction assisted milling hole quality GA titanium alloys microlens array parameter identification Taguchi method weld reinforcement slow tool servo cutting parameters flank super abrasive machining (SAM) stiffness properties grey relational analysis deflection computer numerical control grain density surface grinding the cutting force components Huber–Mises stress WEDM |
| ISBN |
9783039213788
3039213784 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910367565503321 |
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López de Lacalle Luis Norberto
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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