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Application of Bioinformatics in Cancers
| Application of Bioinformatics in Cancers |
| Autore | Brenner J. Chad |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (418 p.) |
| Soggetto non controllato |
cancer treatment
extreme learning independent prognostic power AID/APOBEC HP gene inactivation biomarkers biomarker discovery chemotherapy artificial intelligence epigenetics comorbidity score denoising autoencoders protein single-biomarkers gene signature extraction high-throughput analysis concatenated deep feature feature selection differential gene expression analysis colorectal cancer ovarian cancer multiple-biomarkers gefitinib cancer biomarkers classification cancer biomarker mutation hierarchical clustering analysis HNSCC cell-free DNA network analysis drug resistance hTERT variable selection KRAS mutation single-cell sequencing network target skin cutaneous melanoma telomeres Neoantigen Prediction datasets clinical/environmental factors StAR PD-L1 miRNA circulating tumor DNA (ctDNA) false discovery rate predictive model Computational Immunology brain metastases observed survival interval next generation sequencing brain machine learning cancer prognosis copy number aberration mutable motif steroidogenic enzymes tumor mortality tumor microenvironment somatic mutation transcriptional signatures omics profiles mitochondrial metabolism Bufadienolide-like chemicals cancer-related pathways intratumor heterogeneity estrogen locoregionally advanced RNA feature extraction and interpretation treatment de-escalation activation induced deaminase knockoffs R package copy number variation gene loss biomarkers cancer CRISPR overall survival histopathological imaging self-organizing map Network Analysis oral cancer biostatistics firehose Bioinformatics tool alternative splicing biomarkers diseases genes histopathological imaging features imaging TCGA decision support systems The Cancer Genome Atlas molecular subtypes molecular mechanism omics curative surgery network pharmacology methylation bioinformatics neurological disorders precision medicine cancer modeling miRNAs breast cancer detection functional analysis biomarker signature anti-cancer hormone sensitive cancers deep learning DNA sequence profile pancreatic cancer telomerase Monte Carlo mixture of normal distributions survival analysis tumor infiltrating lymphocytes curation pathophysiology GEO DataSets head and neck cancer gene expression analysis erlotinib meta-analysis traditional Chinese medicine breast cancer TCGA mining breast cancer prognosis microarray DNA interaction health strengthening herb cancer genomic instability |
| ISBN | 3-03921-789-5 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910367743403321 |
Brenner J. Chad
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Applied Cognitive Sciences
| Applied Cognitive Sciences |
| Autore | Kovari Attila |
| Pubbl/distr/stampa | Basel, : MDPI Books, 2022 |
| Descrizione fisica | 1 electronic resource (292 p.) |
| Soggetto topico | Information technology industries |
| Soggetto non controllato |
computer adaptive testing
code tracing basic programming skills internet of thing (IoT) eye tracking heart rate (HR) measurements data analysis Internet addiction dysfunctional emotions coping strategies emotional problems human-AI interaction interaction design Kansei engineering user satisfaction voice-based intelligent system dynamic gesture recognition gesture spotting self-organizing map computational psychology computational cognitive modeling machine learning concept blending conceptual combinations recall computational creativity cognition instance selection clustering information processing cognitive aspects remote virtual simulation incident commander user experiences problem solving decision making assessment learning privacy-preserving computations homomorphic encryption EEG signals school children functional vision vision screening vision training eye-tracking stakeholders human-robot interaction social gaze eye-to-eye contact emotional interfaces eye-brain-computer interfaces attention reflection usability brain hemispheric lateralization online educational material instructional design methodology model virtual reality virtual environment stress spaceflight training EEG emotion neural networks M3GP BED Emotiv multiclass deep learning traffic accident spatially prolonged risk Gestalt proximity open data |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910595068903321 |
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Kovari Attila
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| Basel, : MDPI Books, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Coastal Waters Monitoring Using Remote Sensing Technology
| Coastal Waters Monitoring Using Remote Sensing Technology |
| Autore | Vignudelli Stefano |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (498 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
ACOLITE
coastal waters atmospheric correction time-series management Sentinel-2 radon transform remote sensing bathymetry inversion multi-scale monitoring image augmentation phytoplankton remote sensing coastal ocean red tides black pixel assumption satellite sediment transport coastal geomorphology ocean color GOCI VIIRS turbid waters satellite-derived bathymetry Copernicus programme multi-temporal approach lidar turbidity coastal upwelling wind forcing river plume MODIS Arctic Ocean hurricanes water quality Puerto Rico harmful algal blooms Chattonella spp Skeletonema spp backscattering Ariake Sea chlorophyll-a variability spring–neap tides MODIS-Aqua total suspended sediment river discharge band registration morphological registration multispectral camera Micasense Rededge-M Pearl River estuary diffuse attenuation coefficient S-EOF land subsidence multi-temporal SAR interferometry sea-surface height relative sea level change satellite altimetry data GNSS coastal urban centers natural protected areas climate change impact physics-based inversion method ocean surface circulation high frequency radar self-organizing map empirical orthogonal function neural networks synoptic characteristics wave radar sea waves model data Mediterranean sea small river plume aerial drone coastal processes frontal zones internal waves along-track interferometric synthetic aperture radar (ATI-SAR) current line-of-sight (LOS) velocity azimuth ambiguity baseline-to-platform speed ratio estimation storm surge coastal flooding marine storms natural hazards steric-effect satellite altimetry ADG/CDOM colored dissolved organic matter Sentinel 3 southwestern Puerto Rico ocean tidal backwater stage–discharge relation ocean tide model Mekong Delta suspended particulate matter ocean color data satellite remote sensing in situ measurements C2RCC Landsat-8 OLI Sentinel-2 MSI Mzymta River Black Sea MUR SST SST fronts Inner Sea of Chiloé northern Patagonia suspended sediment Typhoon Soudelor spatial–temporal distribution HF marine radars wave energy |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910566467303321 |
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Vignudelli Stefano
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Flood Forecasting Using Machine Learning Methods
| Flood Forecasting Using Machine Learning Methods |
| Autore | Chang Fi-John |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (376 p.) |
| Soggetto non controllato |
natural hazards &
artificial neural network flood routing the Three Gorges Dam backtracking search optimization algorithm (BSA) lag analysis artificial intelligence classification and regression trees (CART) decision tree real-time optimization ensemble empirical mode decomposition (EEMD) improved bat algorithm convolutional neural networks ANFIS method of tracking energy differences (MTED) adaptive neuro-fuzzy inference system (ANFIS) recurrent nonlinear autoregressive with exogenous inputs (RNARX) disasters flood prediction ANN-based models flood inundation map ensemble machine learning flood forecast sensitivity hydrologic models phase space reconstruction water level forecast data forward prediction early flood warning systems bees algorithm random forest uncertainty soft computing data science hydrometeorology LSTM rating curve method forecasting superpixel particle swarm optimization high-resolution remote-sensing images machine learning support vector machine Lower Yellow River extreme event management runoff series empirical wavelet transform Muskingum model hydrograph predictions bat algorithm data scarce basins Wilson flood self-organizing map big data extreme learning machine (ELM) hydroinformatics nonlinear Muskingum model invasive weed optimization rainfall–runoff flood forecasting artificial neural networks flash-flood streamflow predictions precipitation-runoff the upper Yangtze River survey parameters Haraz watershed ANN time series prediction postprocessing flood susceptibility modeling rainfall-runoff deep learning database LSTM network ensemble technique hybrid neural network self-organizing map (SOM) data assimilation particle filter algorithm monthly streamflow forecasting Dongting Lake machine learning methods micro-model stopping criteria Google Maps cultural algorithm wolf pack algorithm flood events urban water bodies Karahan flood St. Venant equations hybrid & hydrologic model |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346688303321 |
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Chang Fi-John
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Use of Water Stable Isotopes in Hydrological Process
| Use of Water Stable Isotopes in Hydrological Process |
| Autore | Vreča Polona |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (296 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
precipitation
stable isotope ratios local meteoric water line amount-weighted mean linear regression confidence prediction and generalized intervals stable isotopes D and 18O moisture source temperature effect precipitation amount effect regionalization China oxygen isotopes sulfur isotopes isotopic composition of water bacterial sulfate reduction sulfide oxidation atmospheric sulfate peatland unconfined aquifer mineralization of organic matter isotopic techniques water isotopic signature 3H- and 14C-dating saltwater intrusion Red River’s delta Vietnam Sutri Dhaka Chandra Basin Western Himalaya hydrograph separation stable water isotope specific ablation stable isotopes HYSPLIT model MWL validation karstic springs spatial variations Naqu River basin Qinghai–Tibet Plateau stable water isotopes hydrogen oxygen soil water fine root system groundwater isotope hydrology stable nitrate isotopes Zagreb Croatia 2H/1H and 18O/16O deuterium excess δ18O–temperature relation tritium self-organizing map radon major ions alluvial fan paddy rice field deuterium and oxygen-18 hydrogeological conceptual model alluvial aquifer Varaždin area δ2H inverse modeling vadose zone sensitivity analysis soil hydraulic parameters estimation groundwater recharge d-excess elevation effect altitude effect continental effect Slovenia Hungary water cycle measurement traceability precipitation (rain and snow) surface water water management networks and data bases statistical evaluation |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557290503321 |
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Vreča Polona
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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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Volcanic Processes Monitoring and Hazard Assessment Using Integration of Remote Sensing and Ground-Based Techniques
| Volcanic Processes Monitoring and Hazard Assessment Using Integration of Remote Sensing and Ground-Based Techniques |
| Autore | Calvari Sonia |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (322 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
Stromboli volcano
effusive activity satellite thermal imagery ground-based thermal imagery cinder cone instability pyroclastic density currents Etna volcano lava fountain paroxysmal explosive eruptions ash plume height Landsat 8 satellite images mass discharge rate time-series paroxysmal explosions major explosive events ground and remote sensing monitoring classification of mild Strombolian events lava delta slope failure repeated bathymetric surveys digital elevation models LiDAR PLÉIADES morphological monitoring tephra remote sensing plume height mass eruption rate total erupted mass total grain-size distribution paroxysmal explosive and effusive episodes ash plume volcano monitoring volcanic hazard numerical modeling Long Valley Caldera deformation and gravity joint inversion topography correction heterogenous crust FEM source parameters intrusion density Cotopaxi volcano 1877 eruption primary lahars drone-imagery geological mapping lahar hazard assessment integrated DInSAR and GNSS time series geodetic dataset volcanic deformation early warning applications natural hazards SO2 flux CO2 flux heat flux Vulcano Island geochemical crisis extensive parameters eruption precursors neural networks self-organizing map seismo-acoustic signals ground-based visible and thermal imagery ground deformation volcano deformation automated detection lava fountains |
| ISBN | 3-0365-5120-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910619461303321 |
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Calvari Sonia
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| MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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