Advances in Design by Metallic Materials: Synthesis, Characterization, Simulation and Applications
| Advances in Design by Metallic Materials: Synthesis, Characterization, Simulation and Applications |
| Autore | Fragassa Cristiano |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (234 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
artificial neural network
Artificial Neural Network (NN) austenitic stainless steel bainitic microstructure case hardening depth cermet coating compact graphite cast iron (CGI) composite hardness models connection Constructal Design copper coatings creep resistance deflection ductile fracture ductile/spheroidal cast iron (SGI) experiment experimental data analysis extended finite element method (xFEM) fatigue crack growth forging grain growth hardness high-temperature oxidation resistance hybrid composite hybrid materials k-nearest neighbours (kNN) large-strain plasticity linear regression long-term operated metals Machine Learning (RF) material properties prediction micromagnetic testing microstructure MIV analysis modified damage model moment-rotation curve n/a numerical analysis numerical simulation pack aluminizing pallet rack pattern recognition phase-field modeling plates polarization curve pulsating current (PC) Random Forest (RF) retained austenite S355J2+N steel slurry erosion spheroidal graphite cast iron stiffeners stress intensity factors (SIF) tensile properties thermomechanical processing tribology two-stage yield function wear wear performance ZA27 alloy |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Advances in Design by Metallic Materials |
| Record Nr. | UNINA-9910557726203321 |
Fragassa Cristiano
|
||
| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Applications of Electromagnetic Waves
| Applications of Electromagnetic Waves |
| Autore | Amineh Reza K |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (242 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
Acu-check
antenna mesurements balanced bandpass filter bandpass filter bonding wire bone lesion detection carbon-composite material cavity Chebyshev filter common mode suppression compromising emanations computers and information processing data acquisition dipole dipole and horn antennas dispersion electromagnetic compatibility electromagnetic emissions electromagnetic infiltration electromagnetic simulation electromagnetic waves endfire energy verification Fourier series expansion gain Goubau line graphene graphic information ground penetrating radar guided wave half-wavelength resonator Hall probe high absorption holography image processing image recognition insertion loss internal structure lancet laser printer leaky waves LED array machine learning material identification meta-resonator metamaterial microwave imaging microwave measurement system microwave sensor array microwave waveguide movable slit multimode n/a nanorod non-invasive blood glucose measurement non-invasive data acquisition nondestructive testing open-ended waveguide pattern recognition permafrost active layer phantom measurement system polarization independent port embedding propagation characteristics protection of information radiation reconstruction reverse time migration S parameters slow-wave source-load coupling spurline stepped impedance resonator (SIR) surface waves THz absorber Tibetan Plateau ultra-wideband waveguide X-band |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557895903321 |
Amineh Reza K
|
||
| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
The art of social theory / / Richard Swedberg
| The art of social theory / / Richard Swedberg |
| Autore | Swedberg Richard |
| Edizione | [Course Book] |
| Pubbl/distr/stampa | Princeton, New Jersey ; ; Oxfordshire, England : , : Princeton University Press, , 2014 |
| Descrizione fisica | 1 online resource (295 p.) |
| Disciplina | 700.103 |
| Soggetto topico | Arts and society |
| Soggetto genere / forma | Electronic books. |
| Soggetto non controllato |
Archimedes
Charles S. Peirce William Whewell abduction analogies analogon analogy art classification cognitive science colligation concept creative theorizing creative work creativity diagrams discovery empirical material explanation guessing heuristic stance heuristics hypothesis imagination justification knowledge metaphor metaphors naming observation pattern recognition patterns practical exercises preliminary data reasoning research process researcher retroduction scientific analysis scientific research social data social life social science social scientists social theory theoretical imagination theorizing theory thinking typology |
| ISBN |
1-306-94474-0
1-78402-919-X 1-4008-5035-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Front matter -- Contents -- Introduction: Why Theorize and Can You Learn to Do It? -- Part 1: How to Theorize -- Chapter 1. Starting Anew -- Chapter 2. Social Observation -- Chapter 3. Naming, Concept, and Typology -- Chapter 4. Analogy, Metaphor, and Pattern -- Chapter 5. Coming Up with an Explanation -- Part 2: Preparing for Theorizing -- Chapter 6. Heuristics -- Chapter 7. Practical Exercises -- Chapter 8. The Role of Theory -- Chapter 9. Imagination and Art -- Chapter 10. Summary and More -- Appendix: How to Theorize according to Charles S. Peirce -- Acknowledgments -- Notes -- References -- Index |
| Record Nr. | UNINA-9910464342903321 |
Swedberg Richard
|
||
| Princeton, New Jersey ; ; Oxfordshire, England : , : Princeton University Press, , 2014 | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
The art of social theory / / Richard Swedberg
| The art of social theory / / Richard Swedberg |
| Autore | Swedberg Richard |
| Edizione | [Course Book] |
| Pubbl/distr/stampa | Princeton, New Jersey ; ; Oxfordshire, England : , : Princeton University Press, , 2014 |
| Descrizione fisica | 1 online resource (295 p.) |
| Disciplina | 700.103 |
| Soggetto topico | Arts and society |
| Soggetto non controllato |
Archimedes
Charles S. Peirce William Whewell abduction analogies analogon analogy art classification cognitive science colligation concept creative theorizing creative work creativity diagrams discovery empirical material explanation guessing heuristic stance heuristics hypothesis imagination justification knowledge metaphor metaphors naming observation pattern recognition patterns practical exercises preliminary data reasoning research process researcher retroduction scientific analysis scientific research social data social life social science social scientists social theory theoretical imagination theorizing theory thinking typology |
| ISBN |
1-306-94474-0
1-78402-919-X 1-4008-5035-5 |
| Classificazione | SOC026000SOC024000 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Front matter -- Contents -- Introduction: Why Theorize and Can You Learn to Do It? -- Part 1: How to Theorize -- Chapter 1. Starting Anew -- Chapter 2. Social Observation -- Chapter 3. Naming, Concept, and Typology -- Chapter 4. Analogy, Metaphor, and Pattern -- Chapter 5. Coming Up with an Explanation -- Part 2: Preparing for Theorizing -- Chapter 6. Heuristics -- Chapter 7. Practical Exercises -- Chapter 8. The Role of Theory -- Chapter 9. Imagination and Art -- Chapter 10. Summary and More -- Appendix: How to Theorize according to Charles S. Peirce -- Acknowledgments -- Notes -- References -- Index |
| Record Nr. | UNINA-9910786656803321 |
Swedberg Richard
|
||
| Princeton, New Jersey ; ; Oxfordshire, England : , : Princeton University Press, , 2014 | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
The art of social theory / / Richard Swedberg
| The art of social theory / / Richard Swedberg |
| Autore | Swedberg Richard |
| Edizione | [Course Book] |
| Pubbl/distr/stampa | Princeton, New Jersey ; ; Oxfordshire, England : , : Princeton University Press, , 2014 |
| Descrizione fisica | 1 online resource (295 p.) |
| Disciplina | 700.103 |
| Soggetto topico | Arts and society |
| Soggetto non controllato |
Archimedes
Charles S. Peirce William Whewell abduction analogies analogon analogy art classification cognitive science colligation concept creative theorizing creative work creativity diagrams discovery empirical material explanation guessing heuristic stance heuristics hypothesis imagination justification knowledge metaphor metaphors naming observation pattern recognition patterns practical exercises preliminary data reasoning research process researcher retroduction scientific analysis scientific research social data social life social science social scientists social theory theoretical imagination theorizing theory thinking typology |
| ISBN |
1-306-94474-0
1-78402-919-X 1-4008-5035-5 |
| Classificazione | SOC026000SOC024000 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Front matter -- Contents -- Introduction: Why Theorize and Can You Learn to Do It? -- Part 1: How to Theorize -- Chapter 1. Starting Anew -- Chapter 2. Social Observation -- Chapter 3. Naming, Concept, and Typology -- Chapter 4. Analogy, Metaphor, and Pattern -- Chapter 5. Coming Up with an Explanation -- Part 2: Preparing for Theorizing -- Chapter 6. Heuristics -- Chapter 7. Practical Exercises -- Chapter 8. The Role of Theory -- Chapter 9. Imagination and Art -- Chapter 10. Summary and More -- Appendix: How to Theorize according to Charles S. Peirce -- Acknowledgments -- Notes -- References -- Index |
| Record Nr. | UNINA-9910817229603321 |
Swedberg Richard
|
||
| Princeton, New Jersey ; ; Oxfordshire, England : , : Princeton University Press, , 2014 | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Artificial Intelligence Applications to Smart City and Smart Enterprise
| Artificial Intelligence Applications to Smart City and Smart Enterprise |
| Autore | Impedovo Donato |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (374 p.) |
| Soggetto topico | Information technology industries |
| Soggetto non controllato |
advance rate
ANFIS-GA Apache Spark Arabic language artificial intelligence artificial training dataset automated driving vehicle autonomous driving Bacterial Foraging algorithm bagging Better Life Index big data big data analysis bus traffic flow prediction cameras computer vision convolution convolutional neural network cyclic dynamics data analysis data mining decision support system deep learning detection diabetes prediction disaster management disease detection driver distraction driver's behavior detection DSS embeddings ensemble learning extreme learning machine Feature Adaptive graph convolutional network Grassmann manifold GRU healthcare high performance computing (HPC) homecare assistance information system image recognition integrated model intelligence transportation system Internet of Things Isolated Microgrid ITS knowledge preservation large-scale database life quality LSTM machine learning machine-learning message scheduling minimizing traffic congestion motion behavior multi-label learning muti-attribute analysis neural architecture search neural network neural networks online learning optimization pattern recognition pedestrian attributes potential pedestrian safety principal component analysis program management quality of life recurrent neural network residual networks risk assessment RNN routing SAEs Saudi dialect semantic attributes recognition sensors shield performance smart car smart cities smart city Smart city smart infotainment smart tourism spatial-temporal dependencies spatio-temporal state analysis surveillance image surveillance video Swarm Intelligence algorithm symptoms detection texting and driving traffic congestion detection traffic flow prediction traffic periodicity traffic prediction traffic speed prediction traffic surveillance video TrafficWave trajectories transfer learning tunnel urban mobility VDTN Vehicle-to-Infrastructure vehicular networks vehicular traffic wavenet |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557295703321 |
Impedovo Donato
|
||
| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Artificial Intelligence for Medical Image Analysis of NeuroImaging Data
| Artificial Intelligence for Medical Image Analysis of NeuroImaging Data |
| Autore | Zeng Nianyin |
| Pubbl/distr/stampa | Frontiers Media SA, 2020 |
| Descrizione fisica | 1 online resource (224 p.) |
| Soggetto topico |
Neurosciences
Science: general issues |
| Soggetto non controllato |
artificial intelligence
computational intelligence machine learning medical image analysis pattern recognition |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557216703321 |
Zeng Nianyin
|
||
| Frontiers Media SA, 2020 | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Biomedical Image Processing and Classification
| Biomedical Image Processing and Classification |
| Autore | Mesin Luca |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (116 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
3D modeling
anemia artificial intelligence binary tree model blood vessel segmentation conjunctiva convolutional neural network convolutional neural networks deep learning DICOM processing digital pathology fluid volume assessment fuzzy clustering glomerulosclerosis glomerulus detection hemoglobin human tissues inferior vena cava kidney biopsy kidney fibrosis kidney transplantation MR brain segmentation n/a non-invasive medical device object extraction pattern recognition pulsatility segmentation semantic segmentation silhouette analysis training size U-Net ultrasound imaging |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557339403321 |
Mesin Luca
|
||
| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Biomedical Sensing and Imaging
| Biomedical Sensing and Imaging |
| Autore | Yin Wuliang |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (126 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
bio-impedance spectroscopy
biomedical application blood coagulation electrical impedance tomography electromagnetic biological theory electromagnetic detection and biosensors electromyography finite element method frequency frequency difference image classification image sensing lung imaging machine learning Maxwell-Wagner effect multisensory pattern recognition rehabilitation thin shell model time difference β dispersion |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557690003321 |
Yin Wuliang
|
||
| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Biometric Systems
| Biometric Systems |
| Autore | Nanni Loris |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (352 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
assessment
augmented signature autism spectrum disorder (ASD) automatic recognition automatic signature verification biomarker biometric recognition biometric recognition performance evaluation biometric systems biometry bit planes block bloodstream body motion contactless acquisition device contactless dataset cross-device curve similarity curve similarity model curve similarity transformation data quality deep learning depth map ensemble dorsal hand vein recognition ear detection ECG enrollment phase evolutionary computation face face detection face recognition systems face verification filtering finger features finger vein recognition fingerprint function features Gabor filter Gaussian mixture model geometric deep learning hand vein recognition Hausdorff distance human identification identification image classification image covariates image quality assessment image recognition infrared camera intervention LGS local coding Lviv Biometric Dataset machine learning mobile conditions multi-biometrics multimodal recognition mutual information non-contact devices online signature verification optical correlation Oriented FAST and Rotated BRIEF (ORB) pattern recognition performance assessment person identification person re-identification Physionet presentation attack detection public vascular pattern dataset quality filtering rotation equivariance SC-DTW Scale-Invariant Feature Transform (SIFT®) security enhancement segmentation matching semantic segmentation shape contexts similarity distance Speeded Up Robust Features (SURF®) structured prediction superpixel superpixels survey symbolic representation temporally aligned pooling touch-screen sensor two-stage method vascular biometric recognition visible light iris images voice walking cycle wrist vein recognition |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557789403321 |
Nanni Loris
|
||
| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Lo trovi qui: Univ. Federico II | ||
| ||