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.
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 | ||
| ||
Image and Video Processing and Recognition Based on Artificial Intelligence
| Image and Video Processing and Recognition Based on Artificial Intelligence |
| Autore | Park Kang Ryoung |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (431 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
action recognition
active learning armature artificial image generation artificial intelligence autoencoders bag of deep features binarized statistical image features biometrics body orientation bounding box regression brain computer interface building extraction camera position channel interaction character recognition common spatial patterns computer vision continuous wavelet transform convolutional neural network convolutional neural networks crowd counting cycle-consistent adversarial networks data augmentation deep convolutional neural networks deep learning depth map domain adaptation edges to photos emotion recognition entropy and response epidermis face image analysis face parsing face recognition facial attributes classification fast approximation feature distillation finger position finger-vein recognition fully convolutional networks GC-LSTM model generative adversarial net generative adversarial network generative adversarial network (GAN) generative models global context graph matching guidance helicopter footage heterogeneous database high-resolution remote sensing image HKPolyU-DB homotopy iterative hard thresholding image de-raining image processing image pyramid image-to-image conversion infrared circumferential scanning system joint attention K-nearest neighbors Krawtchouk polynomials label to photos lighting local context loss function malignant thyroid nodule Marr wavelets mask R-CNN medical image fusion monocular depth estimation multi resolution network multi-person multi-scale decomposition multi-task multitask learning normalized cross-correlation object recognition optimization orthogonal moments orthogonal polynomials pathology pose estimation prediction system presentation attack detection presentation attack face images RANSAC remote sensing residual network satellite image SDUMLA-HMT-DB semantic segmentation semi-supervised learning single-sample face recognition skin social robotics sparse coding super-resolution support vector machine surface defect detection surface inspection target recognition Tchebichef polynomials transfer learning typhoon ultrasound image unobserved database vehicle recognition weighted binary cross-entropy loss |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557371203321 |
|
Park Kang Ryoung
|
||
| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Precision Poultry Farming
| Precision Poultry Farming |
| Autore | Zhao Yang |
| Pubbl/distr/stampa | Basel, : MDPI Books, 2022 |
| Descrizione fisica | 1 electronic resource (176 p.) |
| Soggetto topico |
Research & information: general
Biology, life sciences Animals & society |
| Soggetto non controllato |
broiler
activity index time interval age image processing poultry cage-free preening behavior mask R-CNN residual network broiler chicken machine vision image restoring precision poultry farming feeding system pecking force precision livestock farming poultry farming information management cloud database disease detection acoustic audio frequency behavior image analysis animal welfare movement analysis LED comfort index manure area manure coverage proportion environment control ammonia emission layer house laying hen daily behavior machine learning inertia sensor walking ability animal behavior precision livestock PLF precise feeding ideal protein animal health immune system productive parameters management |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910595076003321 |
|
Zhao Yang
|
||
| Basel, : MDPI Books, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||