Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
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 online resource (454 p.) |
| Soggetto topico | Information technology industries |
| Soggetto non controllato |
3D convolutional neural networks
3D imaging activity measure advanced driver assistance system (ADAS) anchor box artefacts artificial bee colony atrous convolution augmented reality automatic design benchmark bio-inspired techniques brain hemorrhage cascade classifier cascaded center-ness citrus CNN complex search request computer vision continuous casting convolution neural networks (CNNs) convolutional neural network convolutional neural networks cross-scale CT brain CT images data acquisition deep learning deep sort defect detection deformable localization drone detection evidence chains evolving connectionist systems fabric defect feature extraction feature fusion few shot learning focal loss generative adversarial network grow-when-required neural network hand gesture recognition hepatic cancer high-speed trains human-robot interaction Hungarian algorithm hunting image analysis image processing image recognition industrial environments information retriever sensor InSAR machine learning marine systems mixed kernels multi-hop reasoning multi-scale multi-sensor fusion n/a nearest neighbor filtering neural network non-stationary object detection object detector object tracking one-class classifier optical flows parameter efficiency pests and diseases identification pixel convolution pose estimation reinforcement learning RFI semantic segmentation ship classification ship radiated noise spatial pooling spatiotemporal interest points sports scene superalloy tool surface defects surface electromyography (sEMG) SVM synthetic images three-dimensional (3D) vision thresholding tool wear monitoring Traffic sign detection and tracking (TSDR) UAV detection UAV imagery underwater acoustics unmanned aerial vehicles vehicle detection vehicular traffic congestion vehicular traffic flow classification vehicular traffic flow detection video classification video surveillance visual detection visual inspection visual question answering Yolo YOLOv2 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557360703321 |
Woźniak Marcin
|
||
| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
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 online resource (438 p.) |
| Soggetto topico | Research and information: general |
| Soggetto non controllato |
3D information
adversarial learning anomaly detection Batch Normalization building damage assessment CNN conditional random field (CRF) convolution convolutional neural network convolutional neural networks CycleGAN data augmentation deep convolutional networks deep features deep learning densenet DenseUNet depthwise atrous convolution desert despeckling edge enhancement EfficientNets faster region-based convolutional neural network (FRCNN) feature engineering feature fusion framework generative adversarial networks Generative Adversarial Networks global convolution network hand-crafted features high spatial resolution remote sensing high-resolution remote sensing image high-resolution remote sensing imagery high-resolution representations hyperspectral image classification image classification infrastructure ISPRS vaihingen Landsat-8 lifting scheme LSTM LSTM network machine learning mapping min-max entropy misalignments monitoring multi-scale nearest feature selector neural networks object detection object-based Open Street Map open-set domain adaptation orthophoto orthophotos registration orthophotos segmentation OUDN algorithm outline extraction pareto ranking pavement markings pixel-wise classification plant disease detection post-disaster precision agriculture remote sensing remote sensing imagery result correction road road extraction SAR satellite satellites scene classification semantic segmentation Sentinel-1 single-shot single-shot multibox detector (SSD) Sinkhorn loss sub-pixel super-resolution synthetic aperture radar text image matching triplet networks two stream residual network U-Net UAV multispectral images Unmanned Aerial Vehicles (UAV) unsupervised segmentation urban forests visibility water identification water index wildfire detection xBD |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557747903321 |
|
Bazi Yakoub
|
||
| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Artificial Intelligence in Medical Image Processing and Segmentation
| Artificial Intelligence in Medical Image Processing and Segmentation |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2023 |
| Descrizione fisica | 1 online resource (348 p.) |
| Soggetto topico |
History of engineering & technology
Technology: general issues |
| Soggetto non controllato |
2D ultrasound image
2D/3D registration 3D virtual reconstruction ALO artificial hummingbird algorithm artificial intelligence artificial neural network (ANN) attention mechanism auto-segmentation automatic volume measurement breast cancer breast density CAD canonical correlation analysis (CCA) carbon ion radiotherapy CBCT cervical cancer cervical net children CNN comparison computer vision applications convolutional neural network Convolutional Neural Networks Cranio-Maxillofacial surgery CT DarkNet-19 deep learning deep learning structures DICOM directional total variation disease discrimination accuracy dual-energy CT edge computing ensemble learning feature fusion feature selection fundus image GAN Grad-CAM hematoxylin eosin histopathological histopathology histopathology images image enhancement image inpainting image normalization image preprocessing image registration image segmentation image-guided radiotherapy in-house instance segmentation k-nearest neighbour (KNN) lesion segmentation limited-angular range loss function magnetic resonance imaging mandible mask-transformer-based networks medical image analysis medical imaging mitotic nuclei classification MobileNet mp-MRI MRI MRI guidance MRI-only multi-contrast MRI NasNet neuroimaging nuclei detection nuclei segmentation OCT orthogonal X-ray osteoarthritis ovarian tumor PA panoptic segmentation panoramic radiographs pap smear particle therapy patch size PCA PCNSL performance comparisons prostate cancer prostate segmentation pyramidal network radiomics random forest (RF) rare neurodevelopmental disorder rare tumor ResNet-101 safranin O fast green scale-adaptive segmentation semantic segmentation shuffle net ShuffleNet software support vector machine support vector machine (SVM) synthetic CT teeth segmentation textural tooth disease recognition tuberous sclerosis complex two-step method U-Net ultrasound bladder scanner urinary disease |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910743276403321 |
| MDPI - Multidisciplinary Digital Publishing Institute, 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Artificial Neural Networks and Evolutionary Computation in Remote Sensing
| Artificial Neural Networks and Evolutionary Computation in Remote Sensing |
| Autore | Kavzoglu Taskin |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (256 p.) |
| Soggetto topico | Research and information: general |
| Soggetto non controllato |
aerial images
AI on the edge artificial neural networks China classification classification ensemble CNN CNNs convolutional neural network convolutional neural networks convolutional neural networks (CNNs) deep learning dense network digital terrain analysis dilated convolutional network earth observation end-to-end detection Faster RCNN feature fusion Feicheng few-shot learning Gaofen 6 Gaofen-2 imagery geographic information system (GIS) hyperspectral image classification hyperspectral images image downscaling image segmentation land-use LiDAR light detection and ranging machine learning mask R-CNN mask regional-convolutional neural networks microsat mission mixed forest mixed-inter nonlinear programming model generalization multi-label segmentation multi-scale feature fusion nanosat on-board optical remote sensing images post-processing quadruplet loss remote sensing resource extraction semantic features semantic segmentation Sentinel-2 ship detection single shot multi-box detector (SSD) spatial distribution SRGAN statistical features super-resolution superstructure optimization Tai'an transfer learning unmanned aerial vehicles winter wheat You Look Only Once-v3 (YOLO-v3) |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557148403321 |
|
Kavzoglu Taskin
|
||
| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Big Data Analytics and Information Science for Business and Biomedical Applications
| Big Data Analytics and Information Science for Business and Biomedical Applications |
| Autore | Ahmed S. Ejaz |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (246 p.) |
| Soggetto topico |
Humanities
Social interaction |
| Soggetto non controllato |
abdominal aortic aneurysm
ant colony system asymptotic theory bayesian spatial mixture model causal and dilated convolutional neural networks deep learning DWD EEG/MEG data elastic net emulation ensembling entropy-based robust EM estimation consistency feature fusion feature representation financial time series generalized linear models high dimension high dimensional predictors high dimensional time-series high-dimensional high-dimensional data information complexity criteria inverse problem L2-consistency Lasso Medicare data missingness mechanism mixture regression model selection multicategory classification nonlocal prior nonparamteric boostrap nuisance penalty methods post-selection inference prediction proximal algorithm random subspaces regularization segmentation sparse group lasso sparse PCA stepwise regression strong selection consistency text mining trend analysis unconventional likelihood |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557614803321 |
|
Ahmed S. Ejaz
|
||
| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Current Approaches and Applications in Natural Language Processing
| Current Approaches and Applications in Natural Language Processing |
| Autore | Montejo-Ráez Arturo |
| Descrizione fisica | 1 online resource (476 p.) |
| Soggetto topico |
History of engineering & technology
Technology: general issues |
| Soggetto non controllato |
abstractive summarization
Arabic attention mechanism attention model automatic classification automatic hate speech detection Bert BERT model cause-effect relation clinical text conceptual modeling concreteness conditional random field conversational AI curriculum learning data privacy deception deep learning deep neural networks DISC model discourse analysis discriminant function analysis distributional semantics document representation dual multi-head attention dual-stacked output electronic health records entity embedding entity linking fake news detection fastText feature fusion federated learning fine-grained named entity recognition fine-tuning geospatial data technology and application global model information retrieval intent detection inter-information relationship k-stacked feature fusion knowledge graph language marker language model Latin American Spanish language models LIME linguistic corpus linguistic cues LIWC machine learning machine learning classifiers machine reading comprehension machine translation mental disorder monolingual models mT5 multi-lingual transformer model multi-modal dataset multi-modal language model multilingual models multilingual pre-trained language model multinomial naive bayes multisource feature extraction n/a named entity recognition named-entity recognition natural language processing neural machine translation neural networks personality recognition pre-trained model predictive model pretrained language model problem-solution pattern quality estimation query expansion query generation question answering question difficult estimation recurrent neural networks relationship extraction relevance feedback retrieval-based question answering RobBERT semantic analysis sentiment analysis slot filling social media spaCy stance detection statistical analysis task-oriented dialogue systems text analysis text classification topic modeling transfer learning transformer transformer models transitive closure trend analysis unbalanced data problem universal representation Wikimedia Commons WMT word co-occurrence word embeddings |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910595079903321 |
|
Montejo-Ráez Arturo
|
||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Deep Learning-Based Action Recognition
| Deep Learning-Based Action Recognition |
| Autore | Lee Hyo Jong |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (240 p.) |
| Soggetto topico |
History of engineering & technology
Technology: general issues |
| Soggetto non controllato |
3D skeletal
3D-CNN action recognition activity recognition artificial intelligence class regularization class-specific features CNN continuous hand gesture recognition convolutional receptive field data augmentation deep learning dynamic gesture recognition Dynamic Hand Gesture Recognition embedded system feature fusion feedforward neural networks fusion strategies gesture classification gesture spotting graph convolution hand gesture recognition hand shape features high-order feature human action recognition human activity recognition human-computer interaction human-machine interface Long Short-Term Memory multi-modal features multi-modalities network multi-person pose estimation n/a partition pose representation partitioned centerpose network pose estimation real-time spatio-temporal differential spatio-temporal feature spatio-temporal image formation spatiotemporal activations spatiotemporal feature stacked hourglass network transfer learning |
| ISBN | 3-0365-5200-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910619465803321 |
|
Lee Hyo Jong
|
||
| MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Entropy in Image Analysis II
| Entropy in Image Analysis II |
| Autore | Sparavigna Amelia Carolina |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (394 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
AMBTC
art history art statistics atmosphere background backscattered signals balance bit cube blind image quality assessment brain-computer interface (BCI) chaotic system chaotic systems chiaroscuro children chosen plaintext attack complexity compound chaotic system computer vision continuous wavelet transform (CWT) convolution neural network convolutional neural network convolutional neural network (CNN) crowd behavior analysis crowd motion detection cryptography data expansion data hiding declining quality deep neural network detectability dictionary-based coding diffusion direction entropy DNA coding DNA computing Duchenne muscular dystrophy electroencephalography (EEG) engine flame entropy feature distribution entropy feature fusion filtering Golomb-Rice codes human visual system hyperchaotic system image binarization image chaotic encryption image encryption image entropy image information entropy image preprocessing image processing image quality evaluation image retrieval image segmentation infrared radiation IoU Keras key space calculation key-point detection Latin cube local entropy filter lossless compression machine learning magnetic resonance images malaria infection medical color images medical image medical imaging Mordell elliptic curve motor imagery (MI) MXNet neural engineering neuroaesthetics node strength non-maximum suppression normalized entropy nuclear spin generator object detection optical character recognition pattern classification peak signal-to-noise ratio pixel value adjusting Pompe disease pooling method portrait paintings pseudo-random numbers Python quantitative muscle ultrasound quasi-resonant Rossby/drift wave triads renaissance repulsive force RGB RSNNS S-box saliency and distortion salient crowd motion detection security security analysis steganography stego image substitution box symmetry texture-feature parametric imaging thresholding ultrasound weld evaluation weld segmentation |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557433403321 |
|
Sparavigna Amelia Carolina
|
||
| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Innovative Topologies and Algorithms for Neural Networks
| Innovative Topologies and Algorithms for Neural Networks |
| Autore | Xibilia Maria Gabriella |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (198 p.) |
| Soggetto topico | Information technology industries |
| Soggetto non controllato |
3D convolution neural network
action recognition alternative fusion neural network Arabic named entity recognition attention mechanism autoencoders bidirectional gated recurrent unit bidirectional recurrent neural network Chinese text classification CNN convolution neural Networks convolutional neural network convolutional neural networks deep convolutional neural networks deep learning distributed systems elements recognition embedded deep learning facial image analysis facial nerve paralysis feature fusion fully convolutional network fused features gesture recognition gradient-weighted class activation maps graph convolutional network graph partitioning GRU human computer interaction image classification Internet of Things IoT (Internet of Thing) systems linguistic features long short-term memory long short-term-memory long-short-term memory networks LSTM LSTM-CRF model medical applications motion map multi-label learning natural language processing object detection network object recognition pedestrian attribute recognition POS syntactic rules resource-efficient inference scalability sentiment analysis sentiment attention mechanism ship identification text recognition tooth-marked tongue word embedding |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557553903321 |
|
Xibilia Maria Gabriella
|
||
| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Principles and Applications of Data Science
| Principles and Applications of Data Science |
| Autore | Liu Chuan-Ming |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (168 p.) |
| Soggetto topico |
History of engineering and technology
Technology: general issues |
| Soggetto non controllato |
air pollution
behaviour network behaviour sequence pattern classification combined classification model convolutional neural network corpus data crop production prediction data mining deep learning deep transfer learning dictionary digitization electronic health records fair exchange feature fusion fine-tuning focal-segmental forward secrecy graph neural network image classification Internet of Things kidney disease kidney glomeruli lexical data linguistic linked open data medical image mining mobile application neuro-fuzzy peasant farming PM10 PM2.5 prediction model predictive analytics raw material sclerosed glomeruli self-attention mechanism similar user recommendation smart farming system supervised terminology terminology application user preference learning water crystal |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910580211103321 |
|
Liu Chuan-Ming
|
||
| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
