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Computational Intelligence for Modeling, Control, Optimization, Forecasting and Diagnostics in Photovoltaic Applications
| Computational Intelligence for Modeling, Control, Optimization, Forecasting and Diagnostics in Photovoltaic Applications |
| Autore | Vitelli Massimo |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (280 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
adaptive neuro-fuzzy inference systems
ANFIS artificial neural network artificial neural networks clear sky irradiance clustering-based PV fault detection COA complex network analysis data fusion deterioration deterministic optimization algorithm diffractive grating diffractive optical element double flames generation (DFG) strategy duty cycle environmental parameters fault prognosis feed-forward neural networks finite difference time domain genetic algorithm global horizontal irradiance global optimization gradient descent hot spot image processing implicit model solution integrated energy systems linear approximation long short-term memory LSTM cell machine learning mathematical modeling maximum power point tracking metaheuristic optimization algorithm moth-flame optimization MPPT algorithm multiple regression model national power system optical modelling parameter extraction partial shading particle swarm optimization-artificial neural networks performances evaluation persistent predictor photovoltaic array photovoltaic model photovoltaic module photovoltaic plants photovoltaic power prediction photovoltaic system photovoltaic systems photovoltaics publicly available weather reports PV fleet PV power prediction PVs power output forecasting recurrent neural networks renewable energy self-imputation sensor network series-parallel single stage grid connected systems single-diode model smart energy management solar cell optimization Solar cell parameters solar concentrator solar irradiation spectral beam splitting statistical method sustainable development thermal image two-diode model unsupervised learning |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557297703321 |
Vitelli Massimo
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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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Computational Intelligence in Healthcare
| Computational Intelligence in Healthcare |
| Autore | Castellano Giovanna |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (226 p.) |
| Soggetto topico | Information technology industries |
| Soggetto non controllato |
1D pooling
Alzheimer's disease artificial neural network body area network classification clustering computational intelligence convolutional neural network CRISPR cross pooling decision support systems deep learning diabetic retinopathy (DR) diffusion tensor imaging e-health early detection electrocardiogram ensemble learning evaluation metrics everyday walking fault data elimination feature extraction fuzzy inference systems gait analysis gait phase genetic algorithms health off health status detection health status prediction healthcare IMU Internet of Medical Things interpretable models leukemia nucleus image long-term monitoring machine learning machine learning algorithm medical diagnosis medical informatics MIMU multi-modal deep features multi-sensor multi-unit multiple imputation by chained equations multistage support vector machine model n/a neural networks next-generation sequencing ovarian cancer physionet challenge pre-trained deep ConvNet Premature ventricular contraction segmentation sEMG sepsis soft computing soft covering rough set Softmax regression sparse autoencoder SVM-based recursive feature elimination time synchronization transfer learning Tri-Fog Health System uni-modal deep features unipolar depression unsupervised learning |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910674044803321 |
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Castellano Giovanna
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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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Computational Methods for Medical and Cyber Security
| Computational Methods for Medical and Cyber Security |
| Autore | Luo Suhuai |
| Pubbl/distr/stampa | Basel, : MDPI Books, 2022 |
| Descrizione fisica | 1 electronic resource (228 p.) |
| Soggetto non controllato |
fintech
financial technology blockchain deep learning regtech environment social sciences machine learning learning analytics student field forecasting imbalanced datasets explainable machine learning intelligent tutoring system adversarial machine learning transfer learning cognitive bias stock market behavioural finance investor’s profile Teheran Stock Exchange unsupervised learning clustering big data frameworks fault tolerance stream processing systems distributed frameworks Spark Hadoop Storm Samza Flink comparative analysis a survey data science educational data mining supervised learning secondary education academic performance text-to-SQL natural language processing database machine translation medical image segmentation convolutional neural networks SE block U-net DeepLabV3plus cyber-security medical services cyber-attacks data communication distributed ledger identity management RAFT HL7 electronic health record Hyperledger Composer cybersecurity password security browser security social media ANOVA SPSS internet of things cloud computing computational models metaheuristics phishing detection website phishing |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910595066903321 |
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Luo Suhuai
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| Basel, : MDPI Books, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Computer-Aided Manufacturing and Design
| Computer-Aided Manufacturing and Design |
| Autore | Choi Seung-Kyum |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (198 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
additive manufacturing
algorithmic approach anthropometric measures assemblability automatic design availability birefringence CFD complexity convolutional neural network coordination space data-driven design design of experiments dimension reduction entropy theory entropy-based correlation coefficient field repair kit fluid machinery fringe pattern gradient-based algorithm integrated decision system intelligent optimization method Kansei Engineering Kriging lower confidence bounding measurement-assisted assembly mismatch equation modular design multi-function console multidisciplinary design and analysis n/a object detection optimal design part consolidation piping and instrument diagram product design product image design product recovery product service system (PSS) pumps qualitative decision model quantitative decision model robust genetic algorithm simulation-based design optimization small displacement torsor stretchable antenna-based strain sensor structural health monitoring structural optimization train seats uncertainty-integrated and machine learning-based surrogate modeling unsupervised learning warpage |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557700003321 |
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Choi Seung-Kyum
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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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Deep Learning Applications with Practical Measured Results in Electronics Industries
| Deep Learning Applications with Practical Measured Results in Electronics Industries |
| Autore | Kung Hsu-Yang |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (272 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
A*
background model binary classification CNN compressed sensing computational intelligence content reconstruction convolutional network data fusion data partition deep learning digital shearography discrete wavelet transform dot grid target eye-tracking device faster region-based CNN forecasting foreign object GA gated recurrent unit generative adversarial network geometric errors geometric errors correction GSA-BP human computer interaction humidity sensor hyperspectral image classification image compression image inpainting image restoration imaging confocal microscope Imaging Confocal Microscope information measure instance segmentation intelligent surveillance intelligent tire manufacturing K-means clustering kinematic modelling lateral stage errors Least Squares method long short-term memory machine learning MCM uncertainty evaluation multiple constraints multiple linear regression multivariate temporal convolutional network multivariate time series forecasting neighborhood noise reduction network layer contribution neural audio caption neural networks neuro-fuzzy systems nonlinear optimization offshore wind optimization techniques oral evaluation recommender system reinforcement learning residual networks rigid body kinematics saliency information smart grid supervised learning tire bubble defects tire quality assessment trajectory planning transfer learning UAV underground mines unmanned aerial vehicle unsupervised learning update mechanism update occasion visual tracking |
| ISBN | 3-03928-864-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910404080403321 |
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Kung Hsu-Yang
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| MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Deep Learning in Medical Image Analysis
| Deep Learning in Medical Image Analysis |
| Autore | Zhang Yudong |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (458 p.) |
| Soggetto non controllato |
1D-convolutional neural network
3D segmentation active surface ARMD artificial intelligence autism bayesian inference black box brain tumor breast cancer cancer cancer prediction cervical cancer change detection classifiers colon cancer computation computed tomography (CT) computer vision computers in medicine convolutional neural network convolutional neural networks COVID-19 CycleGAN data augmentation deep learning deep learning classification dermoscopic images diagnosis diagnostics digital pathology discriminant analysis domain adaptation domain transfer ECG signal detection egocentric camera explainability explainable AI fMRI gibbs sampling glcm matrix HER2 image classification image processing image reconstruction imaging infection detection interpretable/explainable machine learning low-dose lung cancer lung disease detection machine learning machine learning models macroscopic images magnetic resonance imaging (MRI) MCMC medical image analysis medical image segmentation medical images medical imaging melanoma meta-learning microwave breast imaging MRI multimodal learning multiple instance learning musculoskeletal images n/a neo-adjuvant treatment object detection open surgery optimizers PET imaging portable monitoring devices quantitative comparison segmentation shifted-scaled dirichlet distribution skin lesion segmentation sparse-angle surgical tools taxonomy texture analysis transfer learning tumor detection tumour cellularity U-Net unsupervised learning white box whole slide image processing X-ray images XAI |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557435103321 |
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Zhang Yudong
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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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End-Users' Perspectives on Energy Policy and Technology
| End-Users' Perspectives on Energy Policy and Technology |
| Autore | Huh Sung-Yoon |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (166 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
choice experiment
clustering CO2 emissions conceptual framework cost-benefit analysis data center energy consumption energy demand energy efficiency energy security energy strategy energy technology Honduras households improved cook stoves Indonesia intervention LCOE machine learning multinomial logit models occupant behaviour persuasion pro-environmental behavior pro-environmental behaviour change public opinion renewable energy socio-economic profile solar PV South Korea stochastic survey thermal characteristics analysis unsupervised learning willingness to accept workplace |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557148203321 |
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Huh Sung-Yoon
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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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Green Low-Carbon Technology for Metalliferous Minerals
| Green Low-Carbon Technology for Metalliferous Minerals |
| Autore | Guo Lijie |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (292 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology Mining technology & engineering |
| Soggetto non controllato |
metallurgical slag-based binders
solidification/stabilisation As(III) As(V) calcium hydroxide sublevel caving numerical simulation physical model structural parameter green mining limestone high temperature confining pressure SHPB constitutive model open-pit mine PLAXIS 3D dynamic load safety factor acceleration particle sedimentation filling mining degree of influence pipeline transportation solid waste utilization tailings reclamation risk hazard identification complex network hazard management digital mine mine short-term production planning haulage equipment dispatch plan ABCA NSGA settlement velocity measurement K-means tailings backfill unsupervised learning cemented paste backfill ESEM picture processing floc networks pumping agent fractal dimension backfill slurry strength of cemented backfill inhomogeneity of cemented backfill cemented tailings backfill copper zinc recovery sulfide concentrate artificial microbial community granular backfill bearing characteristics numerical model particle size surface subsidence blasting dust movement dust concentration particle size distribution blasting dust reduction backfill metal mine log-sigmoid tailings pond regional distribution dam break accident statistics causation analysis backfilling increasing resistance and reducing pressure computational fluid dynamics spiral pipe stowing gradient coal-based solid waste orthogonal experiment strength development regression analysis engineering performance |
| ISBN | 3-0365-5798-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910637778803321 |
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Guo Lijie
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Metabolomics Data Processing and Data Analysis-Current Best Practices
| Metabolomics Data Processing and Data Analysis-Current Best Practices |
| Autore | Hanhineva Kati |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (276 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
all ion fragmentation
biostatistics bootstrapped-VIP chemical classification combinatorial fragmentation compound identification computational metabolomics computational statistical constraint-based modeling data processing data repository data-dependent acquisition (DDA) data-independent acquisition disease risk enrichment analysis environmental factors experimental design flux balance forensics fragmentation (MS/MS) full-scan MS/MS processing genome-scale metabolic modeling global metabolomics gut microbiome host-microbiome in silico in silico workflows ion selection algorithms LC-MS lipidomics liquid chromatography liquid chromatography high-resolution mass spectrometry liquid chromatography mass spectrometry liquid chromatography-mass spectrometry (LC-MS) liquid chromatography-mass spectrometry (LC/MS) mass spectral libraries mass spectrometry mass spectrometry imaging meta-omics metabolic networks metabolic pathway and network analysis metabolic profiling metabolic reconstructions metabolism metabolite annotation metabolite identification metabolome mining metabolomics metabolomics data mapping metabolomics imaging metagenomics molecular families MS spectral prediction multivariate risk modeling networking nontarget analysis NPLS pathway analysis PLS R programming R-MetaboList 2 reanalysis rule-based fragmentation sample preparation simulator spectra processing structure-based chemical classification substructures supervised learning tandem mass spectral library targeted analysis time series triplot univariate and multivariate statistics unsupervised learning untargeted analysis untargeted metabolomics variable selection wastewater |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557354403321 |
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Hanhineva Kati
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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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Microfluidics for Cells and Other Organisms / Danny van Noort
| Microfluidics for Cells and Other Organisms / Danny van Noort |
| Autore | van Noort Danny |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (200 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
screening
microfluidic device cell homogenous dispersion structure RNA biomedical engineering neural networks single-cell mechanics on-chip cell incubator cell growth embryogenesis cancer stem cell intracellular proteins simultaneous multiple chamber observation instrumentation fnRBC cancer metastasis Wheatstone bridge capillary single-cell manipulation adherent cells nucleic acid micropipette aspiration sample preparation unsupervised learning cell motility capture efficiency bacterial concentration cbNIPD microfabrication drug resistance variational inference microfluidics periodic hydrostatic pressure paracrine signaling periodic pressure capacitively coupled contactless conductivity detection (C4D) bioMEMS microfluidic flow cytometry particle/cell imaging co-culture cells-in-gels-in-paper laminar flows E. coli printed-circuit-board (PCB) pneumatic microvalve time-lapse observation nanostructure 3D particle focusing target cell-specific binding molecules absolute quantification DNA zebrafish embryo microscopy 3D printing 3D flow focusing single-cell analysis |
| ISBN |
9783039215638
3039215639 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910367750803321 |
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van Noort Danny
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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