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Mathematics in Software Reliability and Quality Assurance
| Mathematics in Software Reliability and Quality Assurance |
| Autore | Dohi Tadashi |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (218 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
fuzzy automata
coalgebra fuzzy language bisimulation composition test data generation genetic algorithm specification-based testing regression testing mutation testing eventual property model checking Maude textual question answering visual question answering metamorphic testing metamorphic relations quality assessment software rejuvenation checkpointing optimal rejuvenation-trigger timing steady-state system availability phase expansion human-error factors petri net concurrent software systems model-checking data-flows software reliability model maximum likelihood estimation EM algorithm non-homogeneous Poisson process generalized failure count data moth flame optimization island-based model feature selection software defect prediction software reliability search-based test case generation branch coverage object-oriented deep learning long short-term memory project similarity and clustering cross-project prediction Nervos CKB consensus protocol UPPAAL |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910576884903321 |
Dohi Tadashi
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Membrane–Peptide Interactions : From Basics to Current Applications
| Membrane–Peptide Interactions : From Basics to Current Applications |
| Autore | Santos Nuno C |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (302 p.) |
| Soggetto topico |
Research & information: general
Biology, life sciences |
| Soggetto non controllato |
tachyplesin
host defense peptide anticancer antimicrobial antibiofilm peptide-membrane interaction structure-activity model membranes nuclear magnetic resonance solution structure accelerated molecular dynamics alamethicin membrane peptaibol cell-penetrating peptide peptide–lipid interaction lipid model systems molecular dynamics NMR membrane biophysics antimicrobial peptides non-lytic peptides bacterial membranes calcium hydroxide chemokine human beta defensin-3-C15 human dental pulp cell Streptococcus gordonii lipoprotein luffa sponge phosphopeptide mass spectrometry Matrix-assisted laser desorption ionization solid-phase extraction surface plasmon resonance melittin liposomes peptide–lipid interactions anti-microbial peptides pore-forming peptides ESKAPE pathogens Staphylococcus aureus KR12 LL-37 lipopeptide critical aggregation concentration CD spectroscopy biofilm cytotoxicity organisms sequence analysis machine learning feature selection sesame protein ACE inhibitory peptides simulated gastrointestinal digestion amino acid sequence molecular docking chionodracines circular dichroism membrane affinity cell-penetrating peptides circular dichroism spectroscopy atomic force microscopy mycolic acid Langmuir monolayer drug–peptide conjugates metastasis model of B16F10 melanoma Pisum sativum defensin 1 (Psd1) anti-metastatic activity glucosylceramide (GlcCer) cyclin F anti-inflammatory peptide cell permeable peptide heparin-binding peptide collagen-induced arthritis inducible nitric oxide interferon gamma interleukin-6 Enbrel |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti |
MembraneâPeptide Interactions
Membrane–Peptide Interactions |
| Record Nr. | UNINA-9910557551603321 |
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Santos Nuno C
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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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Optimization Methods Applied to Power Systems Ⅱ
| Optimization Methods Applied to Power Systems Ⅱ |
| Autore | Montoya Francisco G |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (350 p.) |
| Soggetto topico | History of engineering & technology |
| Soggetto non controllato |
electricity markets
economic dispatch optimization maximum capacity online operation power system unit commitment circuit breaker network modeling optimal power flow wind and solar energies gas insulated switchgear partial discharges electromagnetic wave propagation UHF measurement Security-Constraint Unit Commitment sensitivity factors user cuts power line communication (PLC) energy storage management vehicle to grid (V2G) smart grid multi-objective optimization population-based intelligent optimization algorithm multi-behavior combination algorithm framework Economic load dispatch (ELD) dragonfly algorithm metaheuristic particle swarm optimization cold-thermal-electricity integrated energy system multi-energy complementation feasible interval of load rate multi-objective multi time scales optimize operation earthing earthing system optimisation Ansys Maxwell sensitivity analysis touch voltage non-linear programming security-constrained OPF preventive control corrective control post-contingency overflow transmission line thermal inertia Three-phase optimal power flow voltage regulation distributed generation distribution transformer taps linear OPF problem shift-factors line outage distribution factors security-constrained corrective formulation preventive formulation klystron IOT resotrode efficiency microwave bunching computer simulation global optimization power quality disturbances classification feature selection swarm optimization support vector machine genetic algorithm K-NN algorithm decision tree S-transform optimization techniques hydroelectric renewable energy MCDM fuzzy theory FANP TOPSIS quadratically constrained quadratic programming contingency constrained optimal power flow isolated hybrid microgrid system (IHμGS) solar tower (ST) biodiesel power generator (BDPG) frequency regulation butterfly optimization technique (BOA) microgrid energy management electric vehicle microgrid energy efficiency |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557780003321 |
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Montoya Francisco G
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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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Optimization Methods Applied to Power Systems: Volume 1
| Optimization Methods Applied to Power Systems: Volume 1 |
| Autore | Montoya Francisco G |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (382 p.) |
| Soggetto non controllato |
Stackelberg game
MILP optimal congestion threshold magnetic field mitigation simulation multi-objective particle swarm optimization virtual power plant internal defect day-ahead load forecasting neural network modular predictor multi-objective particle swarm optimization algorithm stochastic optimization dragonfly algorithm unit commitment metaheuristic multi-population method (MP) optimization tabu search considerable decomposition loss minimization active distribution system islanded microgrid dynamic solving framework feature selection electric energy costs power factor compensation dependability interactive load overhead energy internet evolutionary computation wind power developed grew wolf optimizer underground ETAP fuzzy algorithm electric vehicles Schwarz's equation evolutionary algorithms electric power contracts congestion management optimizing-scenarios method building energy management system particle encoding method ringdown detection HOMER software DC optimal power flow prosumer constrained parameter estimation distributed generations (DGs) strong track filter (STF) transient stability calibration cost minimization radiance decentralized and collaborative optimization hybrid renewable energy system renewable energy sources rural electrification distribution network reconfiguration interval variables optimization methods particle swarm optimization hierarchical scheduling micro grid AC/DC hybrid active distribution consensus artificial bee colony CCHP system data center support vector machine affinity propagation clustering extended Kalman filter affine arithmetic linear discriminant analysis (LDA) current margins heterogeneous networks Cameroon hybrid method distributed heat-electricity energy management discrete wind driven optimization fitness function cross-entropy GenOpt wind energy demand uncertainty UC off-design performance genetic algorithm energy storage the biomimetic membrane computing power system optimization electric vehicle power architectures economic load dispatch problem (ELD) runner-root algorithm (RRA) Cable joint battery energy storage system load curtailment integration assessment power system unit commitment artificial lighting power flow hybrid membrane computing two-point estimation method low-voltage networks demand bidding non-sinusoidal circuits energy flow model power transfer distribution factors sustainability HVAC system voltage deviation street light points radial basis function energy storage system charging/discharging power systems intelligent scatter search MV/LV substation optimal power flow stochastic state estimation eight searching sub-regions chaos optimization algorithm (COA) mutual information theory inter-turn shorted-circuit fault (ISCF) C&I particle swarm optimization multiobjective optimization passive shielding sub-Saharan Africa micro-phasor measurement unit geometric algebra bio-inspired algorithms adaptive consensus algorithm energy management PCS efficiency multi-stakeholders generalized generation distribution factors the genetic algorithm based P system JAYA algorithm thermal probability density power optimization pumped-hydro energy storage smart grid two-stage feature selection piecewise linear techniques photovoltaic SOCP relaxations switched reluctance machine (SRM) optimal reactive power dispatch optimal operation controllable response off-grid active shielding transformer-fault diagnosis IEEE Std. 80-2000 principal component analysis demand response |
| ISBN | 3-03921-131-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Optimization Methods Applied to Power Systems |
| Record Nr. | UNINA-9910346859603321 |
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Montoya Francisco G
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Optimization Methods Applied to Power Systems: Volume 2
| Optimization Methods Applied to Power Systems: Volume 2 |
| Autore | Montoya Francisco G |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (306 p.) |
| Soggetto non controllato |
Stackelberg game
MILP optimal congestion threshold magnetic field mitigation simulation multi-objective particle swarm optimization virtual power plant internal defect day-ahead load forecasting neural network modular predictor multi-objective particle swarm optimization algorithm stochastic optimization dragonfly algorithm unit commitment metaheuristic multi-population method (MP) optimization tabu search considerable decomposition loss minimization active distribution system islanded microgrid dynamic solving framework feature selection electric energy costs power factor compensation dependability interactive load overhead energy internet evolutionary computation wind power developed grew wolf optimizer underground ETAP fuzzy algorithm electric vehicles Schwarz's equation evolutionary algorithms electric power contracts congestion management optimizing-scenarios method building energy management system particle encoding method ringdown detection HOMER software DC optimal power flow prosumer constrained parameter estimation distributed generations (DGs) strong track filter (STF) transient stability calibration cost minimization radiance decentralized and collaborative optimization hybrid renewable energy system renewable energy sources rural electrification distribution network reconfiguration interval variables optimization methods particle swarm optimization hierarchical scheduling micro grid AC/DC hybrid active distribution consensus artificial bee colony CCHP system data center support vector machine affinity propagation clustering extended Kalman filter affine arithmetic linear discriminant analysis (LDA) current margins heterogeneous networks Cameroon hybrid method distributed heat-electricity energy management discrete wind driven optimization fitness function cross-entropy GenOpt wind energy demand uncertainty UC off-design performance genetic algorithm energy storage the biomimetic membrane computing power system optimization electric vehicle power architectures economic load dispatch problem (ELD) runner-root algorithm (RRA) Cable joint battery energy storage system load curtailment integration assessment power system unit commitment artificial lighting power flow hybrid membrane computing two-point estimation method low-voltage networks demand bidding non-sinusoidal circuits energy flow model power transfer distribution factors sustainability HVAC system voltage deviation street light points radial basis function energy storage system charging/discharging power systems intelligent scatter search MV/LV substation optimal power flow stochastic state estimation eight searching sub-regions chaos optimization algorithm (COA) mutual information theory inter-turn shorted-circuit fault (ISCF) C&I particle swarm optimization multiobjective optimization passive shielding sub-Saharan Africa micro-phasor measurement unit geometric algebra bio-inspired algorithms adaptive consensus algorithm energy management PCS efficiency multi-stakeholders generalized generation distribution factors the genetic algorithm based P system JAYA algorithm thermal probability density power optimization pumped-hydro energy storage smart grid two-stage feature selection piecewise linear techniques photovoltaic SOCP relaxations switched reluctance machine (SRM) optimal reactive power dispatch optimal operation controllable response off-grid active shielding transformer-fault diagnosis IEEE Std. 80-2000 principal component analysis demand response |
| ISBN | 3-03921-157-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Optimization Methods Applied to Power Systems |
| Record Nr. | UNINA-9910346859503321 |
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Montoya Francisco G
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Recent Advances and Applications of Machine Learning in Metal Forming Processes
| Recent Advances and Applications of Machine Learning in Metal Forming Processes |
| Autore | Prates Pedro |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (210 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology Mining technology & engineering |
| Soggetto non controllato |
sheet metal forming
uncertainty analysis metamodeling machine learning hot rolling strip edge defects intelligent recognition convolutional neural networks deep-drawing kriging metamodeling multi-objective optimization FE (Finite Element) AutoForm robust analysis defect prediction mechanical properties prediction high-dimensional data feature selection maximum information coefficient complex network clustering ring rolling process energy estimation metal forming thermo-mechanical FEM analysis artificial neural network aluminum alloy mechanical property UTS topological optimization artificial neural networks (ANN) machine learning (ML) press-brake bending air-bending three-point bending test sheet metal buckling instability oil canning artificial intelligence convolution neural network hot rolled strip steel defect classification generative adversarial network attention mechanism deep learning mechanical constitutive model finite element analysis plasticity parameter identification full-field measurements |
| ISBN | 3-0365-5772-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910637782503321 |
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Prates Pedro
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Recent Advances in Social Data and Artificial Intelligence 2019
| Recent Advances in Social Data and Artificial Intelligence 2019 |
| Autore | Srivastava Hari Mohan |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (498 p.) |
| Soggetto topico |
Information technology industries
Computer science |
| Soggetto non controllato |
centrality metric
graph visualisation visual analytics data processing social network stock market community detection complex networks Hadoop modularity increment geometric analysis lidar scanning signal micro-distortion detection technology TCD1209DG lossless signal transmission person re-identification multiple granularity features Siamese Multiple Granularity Network multi-channel weighted fusion loss temporal links prediction gravity model multilayer network label propagation algorithm H-index automatic speech recognition speech corpus text corpus data acquisition multi-layer neural network natural language processing markov switching breakpoint test crude oil price structural change artificial intelligence ice-snow tourism sustainable development Python text mining pancreatic cancer twin support vector machine linear kernel polynomial kernel RBF kernel cryptography RSA cryptosystem RSA cryptanalysis partial key exposure attack social network simulation ABMS Spark two-tier partition algorithm visual style context-aware preference analysis fashion recommendation Facebook advertising post social media marketing recommendation system topic model post engagement blockchain client/server electronic health records health information management privacy security innovation business machine learning decision tree predictive analytics social data science contingencies asymmetry tele-education digitalization ICT infrastructure digital teacher training replace face-to-face education telemedicine technology acceptance robust partial least squares path modeling data-mining techniques data-discretization methods feature-selection methods industry data applications advanced multicomponential discretization models social networks behavior analysis social behavior social networking satisfaction data science DBLP platform deep reinforcement learning keyphrase extraction unsupervised method feature selection weighted non-negative matrix factorization hierarchical information tag information deep factorization combinatorial optimization problem heuristics method nature-inspired algorithm NP-hard problem plant root healthcare data data management digital services cybernetics symmetrical designing overlapping community discovery gravitational degree greedy strategy two expansions cloud computing color revolution operator imperialist competitive algorithm quality of service service composition service time-cost |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910585943903321 |
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Srivastava Hari Mohan
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Remote Sensing for Precision Nitrogen Management
| Remote Sensing for Precision Nitrogen Management |
| Autore | Miao Yuxin |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (602 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology Environmental science, engineering & technology |
| Soggetto non controllato |
UAS
multiple sensors vegetation index leaf nitrogen accumulation plant nitrogen accumulation pasture quality airborne hyperspectral imaging random forest regression sun-induced chlorophyll fluorescence (SIF) SIF yield indices upward downward leaf nitrogen concentration (LNC) wheat (Triticum aestivum L.) laser-induced fluorescence leaf nitrogen concentration back-propagation neural network principal component analysis fluorescence characteristics canopy nitrogen density radiative transfer model hyperspectral winter wheat flooded rice pig slurry aerial remote sensing vegetation indices N recommendation approach Mediterranean conditions nitrogen vertical distribution plant geometry remote sensing maize UAV multispectral imagery LNC non-parametric regression red-edge NDRE dynamic change model sigmoid curve grain yield prediction leaf chlorophyll content red-edge reflectance spectral index precision N fertilization chlorophyll meter NDVI NNI canopy reflectance sensing N mineralization farmyard manures Triticum aestivum discrete wavelet transform partial least squares hyper-spectra rice nitrogen management reflectance index multiple variable linear regression Lasso model Multiplex®3 sensor nitrogen balance index nitrogen nutrition index nitrogen status diagnosis precision nitrogen management terrestrial laser scanning spectrometer plant height biomass nitrogen concentration precision agriculture unmanned aerial vehicle (UAV) digital camera leaf chlorophyll concentration portable chlorophyll meter crop PROSPECT-D sensitivity analysis UAV multispectral imagery spectral vegetation indices machine learning plant nutrition canopy spectrum non-destructive nitrogen status diagnosis drone multispectral camera SPAD smartphone photography fixed-wing UAV remote sensing random forest canopy reflectance crop N status Capsicum annuum proximal optical sensors Dualex sensor leaf position proximal sensing cross-validation feature selection hyperparameter tuning image processing image segmentation nitrogen fertilizer recommendation supervised regression RapidSCAN sensor nitrogen recommendation algorithm in-season nitrogen management nitrogen use efficiency yield potential yield responsiveness standard normal variate (SNV) continuous wavelet transform (CWT) wavelet features optimization competitive adaptive reweighted sampling (CARS) partial least square (PLS) grapevine hyperparameter optimization multispectral imaging precision viticulture RGB multispectral coverage adjusted spectral index vegetation coverage random frog algorithm active canopy sensing integrated sensing system discrete NIR spectral band data soil total nitrogen concentration moisture absorption correction index particle size correction index coupled elimination |
| ISBN | 3-0365-5710-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910637794503321 |
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Miao Yuxin
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Remote Sensing in Agriculture: State-of-the-Art
| Remote Sensing in Agriculture: State-of-the-Art |
| Autore | Borgogno-Mondino Enrico |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (220 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology Environmental science, engineering & technology |
| Soggetto non controllato |
feature selection
spectral angle mapper support vector machine support vector regression hyperspectral imaging UAV cross-scale yellow rust spatial resolution winter wheat MODIS northern Mongolia remote sensing indices spring wheat yield estimation UAV-based LiDAR biomass crop height field phenotyping oasis crop type mapping Sentinel-1 and 2 integration statistically homogeneous pixels (SHPs) red-edge spectral bands and indices recursive feature increment (RFI) random forest (RF) unmanned aerial vehicles (UAVs) remote sensing (RS) thermal UAV RS thermal infrared (TIR) precision agriculture (PA) crop water stress monitoring plant disease detection vegetation status monitoring Landsat data blending crop yield prediction gap-filling volumetric soil moisture synthetic aperture radar (SAR) Sentinel-1 soil moisture semi-empirical model soil moisture Karnataka India reflectance digital number (DN) vegetation index (VI) Parrot Sequoia (Sequoia) DJI Phantom 4 Multispectral (P4M) Synthetic Aperture Radar SAR lodging Hidden Markov Random Field HMRF CDL corn soybean crop Monitoring crop management apple orchard damage polarimetric decomposition entropy anisotropy alpha angle storm damage mapping economic loss insurance support |
| ISBN | 3-0365-5484-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Remote Sensing in Agriculture |
| Record Nr. | UNINA-9910637779903321 |
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Borgogno-Mondino Enrico
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Sensors in Agriculture . Volume 1
| Sensors in Agriculture . Volume 1 |
| Autore | Moshou Dimitrios |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (346 p.) |
| Soggetto non controllato |
optical sensor
spectral analysis response surface sampling sensor evaluation electromagnetic induction multivariate water quality parameters mandarin orange crop inspection platform SPA-MLR object tracking feature selection simultaneous measurement diseases genetic algorithms processing of sensed data electrochemical sensors thermal image ECa-directed soil sampling handheld recognition patterns salt concentration clover-grass bovine embedded hardware weed control soil field crops vineyard connected dominating set water depth sensors SS-OCT wheat striped stem-borer silage geostatistics detection NIR hyperspectral imaging electronic nose machine learning virtual organizations of agents packing density data validation and calibration dataset Wi-SUN temperature sensors geoinformatics gas sensor X-ray fluorescence spectroscopy vegetable oil photograph-grid method Vitis vinifera WSN distribution algorithms laser-induced breakdown spectroscopy irrigation quality assessment energy efficiency wireless sensor network (WSN) geo-information Fusarium texture features weeds discrimination big data soil moisture sensors meat spoilage land cover stereo imaging near infrared sensors biological sensing compound sensor pest management moisture plant localization heavy metal contamination artificial neural networks spectral pre-processing moisture content apparent soil electrical conductivity data fusion semi-arid regions smart irrigation back propagation model wireless sensor network energy balance light-beam fluorescent measurement agriculture precision agriculture deep learning spectroscopy hulled barely dielectric probe RPAS water supply network rice leaves mobile app gradient boosted machines hyperspectral camera one-class nitrogen LiDAR total carbon chemometrics analysis rice agricultural land on-line vis-NIR measurement CARS obstacle detection stratification neural networks regression estimator Kinect proximity sensing distributed systems pest noninvasive detection texture feature soil mapping classification soil salinity visible and near-infrared reflectance spectroscopy germination computer vision hyperspectral imaging diffusion dielectric dispersion UAS random forests case studies total nitrogen thermal imaging cameras dry matter composition near-infrared salt tolerance deep convolutional neural networks soil type classification water management preprocessing methods wireless sensor networks (WSN) remote sensing image classification precision plant protection radar spatial variability GF-1 satellite plant disease naked barley leaf area index CIE-Lab change of support radiative transfer model 3D reconstruction plant phenotyping vine near infrared vegetation indices remote sensing greenhouse time-series data scattering sensor crop area speckle spatial data grapevine breeding wide field view partial least squares-discriminant analysis spiking area frame sampling chromium content machine-learning RGB-D sensor pest scouting PLS Capsicum annuum spatial-temporal model drying temperature boron tolerance ambient intelligence laser wavelength fuzzy logic dynamic weight landslide management zones real-time processing event detection crop monitoring apple shelf-life rice field monitoring wireless sensor birth sensor proximal sensor |
| ISBN | 3-03897-413-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346859003321 |
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Moshou Dimitrios
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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