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A Multiscale In Silico Study to Characterize the Atrial Electrical Activity of Patients With Atrial Fibrillation : A Translational Study to Guide Ablation Therapy
| A Multiscale In Silico Study to Characterize the Atrial Electrical Activity of Patients With Atrial Fibrillation : A Translational Study to Guide Ablation Therapy |
| Autore | Patricio Sánchez Arciniegas Jorge |
| Pubbl/distr/stampa | Karlsruhe, : KIT Scientific Publishing, 2022 |
| Descrizione fisica | 1 electronic resource (162 p.) |
| Collana | Karlsruhe transactions on biomedical engineering |
| Soggetto topico | Electrical engineering |
| Soggetto non controllato |
Vorhofflimmern
Fibrose maschinelles Lernen Bidomain Modellierung des Herzens atrial fibrillation fibrosis machine learning bidomain cardiac modeling |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Multiscale In Silico Study to Characterize the Atrial Electrical Activity of Patients With Atrial Fibrillation |
| Record Nr. | UNINA-9910576868403321 |
Patricio Sánchez Arciniegas Jorge
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| Karlsruhe, : KIT Scientific Publishing, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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A Next-Generation of Biomonitoring to Detect Global Ecosystem Change
| A Next-Generation of Biomonitoring to Detect Global Ecosystem Change |
| Autore | Andrew Bohan David |
| Pubbl/distr/stampa | Frontiers Media SA, 2020 |
| Descrizione fisica | 1 electronic resource (140 p.) |
| Soggetto topico |
Science: general issues
Ecological science, the Biosphere |
| Soggetto non controllato |
machine learning
ecological interactions environmental DNA (eDNA) ecological networks |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557552203321 |
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Andrew Bohan David
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| Frontiers Media SA, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Additive Manufacturing (AM) of Metallic Alloys
| Additive Manufacturing (AM) of Metallic Alloys |
| Autore | Calignano Flaviana |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (154 p.) |
| Soggetto topico | History of engineering & technology |
| Soggetto non controllato |
design for additive manufacturing (DfAM)
displacements laser powder bed fusion (L-PBF) manufacturing constraints stiffness costs melting of a powder bed laser welding optical diagnostics molten pool temperature field residual stresses electrochemical additive manufacturing fountain pen feed system metal 3D printer residual stress prediction IN718 experimental measurement of residual stress additive manufacturing support structure Powder Bed Fusion titanium alloy Ti-6Al-4V fracture behavior mechanical properties L-PBF in situ sensing quality assurance machine learning roughness electron beam melting (EBM) surface texture lack of fusion part quality Ti6Al4V metal additive manufacturing tempered ausrolled nanobainite microstructures |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Additive Manufacturing |
| Record Nr. | UNINA-9910557551903321 |
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Calignano Flaviana
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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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Additive Manufacturing Research and Applications
| 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 |
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Ertas Atila
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advance Nanomaterials for Biosensors
| Advance Nanomaterials for Biosensors |
| Autore | Pandey Sadanand |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (134 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
advanced nanomaterials
dual in-line sensing bi-functional properties non-enzymatic electrochemical sensing glucose and H2O2 nanotechnology bone diseases drug delivery nanocarriers osteosarcoma tumor-targeted retinoblastoma rare cancer surface-tailored multi-functionalized nanoparticles metallic nanoparticle tumor-suppressor gene mutation alkaline phosphatase terminal protection copper nanoparticle fluorescence biosensor electrochemical sensitivity amperometric voltammetric food quality monitoring machine learning |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910576875803321 |
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Pandey Sadanand
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| MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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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 |
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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 Computational Methods for Oncological Image Analysis
| Advanced Computational Methods for Oncological Image Analysis |
| Autore | Rundo Leonardo |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (262 p.) |
| Soggetto topico | Medicine |
| Soggetto non controllato |
melanoma detection
deep learning transfer learning ensemble classification 3D-CNN immunotherapy radiomics self-attention breast imaging microwave imaging image reconstruction segmentation unsupervised machine learning k-means clustering Kolmogorov-Smirnov hypothesis test statistical inference performance metrics contrast source inversion brain tumor segmentation magnetic resonance imaging survey brain MRI image tumor region skull stripping region growing U-Net BRATS dataset incoherent imaging clutter rejection breast cancer detection MRgFUS proton resonance frequency shift temperature variations referenceless thermometry RBF neural networks interferometric optical fibers breast cancer risk assessment machine learning texture mammography medical imaging imaging biomarkers bone scintigraphy prostate cancer semisupervised classification false positives reduction computer-aided detection breast mass mass detection mass segmentation Mask R-CNN dataset partition brain tumor classification shallow machine learning breast cancer diagnosis Wisconsin Breast Cancer Dataset feature selection dimensionality reduction principal component analysis ensemble method |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557353503321 |
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Rundo Leonardo
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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 Deep Learning Strategies for the Analysis of Remote Sensing Images
| Advanced Deep Learning Strategies for the Analysis of Remote Sensing Images |
| Autore | Bazi Yakoub |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (438 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
synthetic aperture radar
despeckling multi-scale LSTM sub-pixel high-resolution remote sensing imagery road extraction machine learning DenseUNet scene classification lifting scheme convolution CNN image classification deep features hand-crafted features Sinkhorn loss remote sensing text image matching triplet networks EfficientNets LSTM network convolutional neural network water identification water index semantic segmentation high-resolution remote sensing image pixel-wise classification result correction conditional random field (CRF) satellite object detection neural networks single-shot deep learning global convolution network feature fusion depthwise atrous convolution high-resolution representations ISPRS vaihingen Landsat-8 faster region-based convolutional neural network (FRCNN) single-shot multibox detector (SSD) super-resolution remote sensing imagery edge enhancement satellites open-set domain adaptation adversarial learning min-max entropy pareto ranking SAR Sentinel–1 Open Street Map U–Net desert road infrastructure mapping monitoring deep convolutional networks outline extraction misalignments nearest feature selector hyperspectral image classification two stream residual network Batch Normalization plant disease detection precision agriculture UAV multispectral images orthophotos registration 3D information orthophotos segmentation wildfire detection convolutional neural networks densenet generative adversarial networks CycleGAN data augmentation pavement markings visibility framework urban forests OUDN algorithm object-based high spatial resolution remote sensing Generative Adversarial Networks post-disaster building damage assessment anomaly detection Unmanned Aerial Vehicles (UAV) xBD feature engineering orthophoto unsupervised segmentation |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557747903321 |
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Bazi Yakoub
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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 DSP Techniques for High-Capacity and Energy-Efficient Optical Fiber Communications
| Advanced DSP Techniques for High-Capacity and Energy-Efficient Optical Fiber Communications |
| Autore | Yue Yang |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (150 p.) |
| Soggetto non controllato |
equalization
space division multiplexing multi-input multi-output mode-division multiplexing mode-dependent loss caching neural network mitigation of optical transceiver impairments four-level pulse amplitude modulation least mean squares frequency-domain equalization nonlinearity compensation optical fiber communication optical communication modulators digital signal processing quadrature phase-shift keying space-time block-coding pointing error Device to Device fiber optics communications cycle-slip coherent communications coherent communication pluggable module recursive least squares data center interconnect average symbol length pulse position modulation-binary phase shift keying-subcarrier intensity modulation (PPM-BPSK-SIM) 400 Gigabit Ethernet direct detection QSFP-DD transceiver low-density parity-check (LDPC) coherent detection free space optical (FSO) carrier phase estimation optical communications bit error rate (BER) machine learning fiber optics links and subsystems short-reach optical links Indian Buffet Process pilot-aided-phase-unwrap |
| ISBN | 3-03921-793-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910367739903321 |
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Yue Yang
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advanced Methods for Seismic Performance Evaluation of Building Structures
| Advanced Methods for Seismic Performance Evaluation of Building Structures |
| Autore | Han Sang Whan |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (190 p.) |
| Soggetto topico | History of engineering & technology |
| Soggetto non controllato |
strength
yielding capping and ultimate deformation RC column cyclic test database artificial neural network bi-linear and tri-linear lumped plasticity model columns cyclic behavior low height-to-depth ratio modeling parameters calibration SPSW axial compression ratio hole size thickness of stiffening plate hole position hysteretic performance FEM (Finite Element Method) DYNA6 soil-structure interaction soil-pile dynamic stiffness retrofitting viscous dampers optimum design collapse-resistant capacity economic benefit sustainability steel reinforced concrete joint post critical moment-curvature nonlinear frame model multi-story steel frames self-centering bracing elements buckling-restrained brace (BRB) seismic analysis earthquake/seismic forces seismic damage mold transformer shaking table test non-structural elements dynamic characteristics ground motion earthquake response history analysis station seismicity machine learning structural types decision forest self-training procedures city-scale seismic damage simulation numerical models model parameter analysis algorithm seismic performance evaluation seismic risk seismic hazard seismic force resisting system energy dissipater seismic design nonlinear response |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557314503321 |
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Han Sang Whan
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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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