ERP and EEG Markers of Brain Visual Attentional Processing |
Autore | Zani Alberto |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
Descrizione fisica | 1 electronic resource (220 p.) |
Soggetto topico | Psychology |
Soggetto non controllato |
selective attention
mental ability P3 latency continuous performance test mental speed EEG alpha xi Posner covert attention object-based attention hemispheric asymmetry ERP selection negativity swLORETA anterior cingulate cortex visual recognition mTBI event-related potentials visual–attentional processing brain connectivity neuropsychological measures postconcussion symptoms rsvp lure stimuli priming ERPs N2pc perception video visual motion speed cortex rhythm entrainment working-memory training cognitive remediation P1 P3b N500 late posterior negative slow wave late parietal negativity ADHD performance monitoring error processing visual sustained selective attention voluntary control self-regulation executive functions preschool children ACT–R Dipole analysis spiking simulation FFT alpha desynchronization attention orienting alerting attention inhibition neurocognitive perceptual and motor workload hypoxia overt motor responses hemispheric lateralization category learning eeg machine learning erp memory learning multiple memory systems p300 brain visual attentional processing neural markers intracerebral single and distributed electric source localization analyses hemodynamic imaging psychological sciences cognitive neurosciences |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557733603321 |
Zani Alberto
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Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
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Lo trovi qui: Univ. Federico II | ||
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UAVs for Vegetation Monitoring |
Autore | de Castro Megías Ana |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
Descrizione fisica | 1 electronic resource (452 p.) |
Soggetto topico | Research & information: general |
Soggetto non controllato |
UAS
UAV vegetation cover multispectral land cover forest Acacia Indonesia tropics vegetation ground cover vegetation indices agro-environmental measures olive groves southern Spain sUAS water stress ornamental container-grown artificial intelligence machine learning deep learning neural network visual recognition precision agriculture canopy cover image analysis crop mapping evapotranspiration (ET) GRAPEX remote sensing Two Source Energy Balance model (TSEB) contextual spatial domain/resolution data aggregation eddy covariance (EC) Fusarium wilt crop disease banana multispectral remote sensing purple rapeseed leaves unmanned aerial vehicle U-Net plant segmentation nitrogen stress Glycine max RGB canopy height close remote sensing growth model curve fitting NDVI solar zenith angle flight altitude time of day operating parameters CNN Faster RCNN SSD Inception v2 patch-based CNN MobileNet v2 detection performance inference time disease detection cotton root rot plant-level single-plant plant-by-plant classification UAV remote sensing crop monitoring RGB imagery multispectral imagery century-old biochar semantic segmentation random forest crop canopy multispectral image chlorophyll content remote sensing technique individual plant segmentation plant detection transfer learning maize tassel tassel branch number convolution neural network VGG16 plant nitrogen estimation vegetation index image segmentation transpiration method comparison oil palm multiple linear regression support vector machine artificial neural network UAV hyperspectral wheat yellow rust disease monitoring texture spatial resolution RGB camera thermal camera drought tolerance forage grass HSV CIELab broad-sense heritability phenotyping gap high throughput field phenotyping UAV digital images winter wheat biomass multiscale textures red-edge spectra least squares support vector machine variable importance drone hyperspectral thermal nutrient deficiency weed detection disease diagnosis plant trails |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557661103321 |
de Castro Megías Ana
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Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
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