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.
Advanced Optimization Methods and Big Data Applications in Energy Demand Forecast
| Advanced Optimization Methods and Big Data Applications in Energy Demand Forecast |
| Autore | Gómez Vela Francisco A |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (100 p.) |
| Soggetto topico |
Research & information: general
Technology: general issues |
| Soggetto non controllato |
deep learning
energy demand temporal convolutional network time series forecasting time series forecasting exponential smoothing electricity demand residential building energy efficiency clustering decision tree time-series forecasting evolutionary computation neuroevolution photovoltaic power plant short-term forecasting data processing data filtration k-nearest neighbors regression autoregression |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557776003321 |
Gómez Vela Francisco A
|
||
| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Assessment of Renewable Energy Resources with Remote Sensing
| Assessment of Renewable Energy Resources with Remote Sensing |
| Autore | Martins Fernando Ramos |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (244 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
metaheuristic
parameter extraction solar photovoltaic whale optimization algorithm cloud detection digitized image processing artificial neural networks solar irradiance estimation solar irradiance forecasting solar energy sky camera remote sensing CSP plants coastal wind measurements scanning LiDAR plan position indicator velocity volume processing Hazaki Oceanographical Research Station cloud coverage image processing total sky imagery geothermal energy geophysical prospecting time domain electromagnetic method electrical resistivity tomography potential well field location GES-CAL software smart island solar radiation forecasting light gradient boosting machine multistep-ahead prediction feature importance voxel-design approach shading envelopes point cloud data computational design method passive design strategy lake breeze influence hydropower reservoir solar irradiance enhancement solar energy resource wind speed extreme value analysis scatterometer feature engineering forecasting graphical user interface software machine learning photovoltaic power plant surface solar radiation global radiation satellite Baltic area coastline cloud convection climate renewable energy resource assessment and forecasting remote sensing data acquisition data processing statistical analysis machine learning techniques |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557427903321 |
|
Martins Fernando Ramos
|
||
| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
B C, Before Computers : On Information Technology from Writing to the Age of Digital Data
| B C, Before Computers : On Information Technology from Writing to the Age of Digital Data |
| Autore | Robertson Stephen |
| Pubbl/distr/stampa | Open Book Publishers, 2020 |
| Descrizione fisica | 1 electronic resource (170 p.) |
| Soggetto topico |
Computing & information technology
Information theory Educational equipment & technology, computer-aided learning (CAL) Biography & True Stories Information technology: general issues |
| Soggetto non controllato |
history of computer developments
digital age computer information technology revolution data processing cryptography visual art music postal system |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | B C, Before Computers |
| Record Nr. | UNINA-9910688420203321 |
|
Robertson Stephen
|
||
| Open Book Publishers, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Data mining for the social sciences : an introduction / / Paul Attewell and David B. Monaghan
| Data mining for the social sciences : an introduction / / Paul Attewell and David B. Monaghan |
| Autore | Attewell Paul A. <1949-> |
| Pubbl/distr/stampa | Oakland, California : , : University of California Press, , 2015 |
| Descrizione fisica | 1 online resource (265 p.) |
| Disciplina | 006.3/12 |
| Soggetto topico |
Social sciences - Data processing
Social sciences - Statistical methods Data mining |
| Soggetto non controllato |
analyzing data
bayesian networks big data bootstrapping business analytics chaid classification and regression trees classification trees confusion matrix data analysis data mining data processing data scholarship data science hardware for data mining heteroscedasticity naive bayes partition trees permutation tests scholarly data social science social scientists software for data mining statistical methods statistical modeling studying data text mining vif regression weka |
| ISBN |
0-520-28098-9
0-520-96059-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Front matter -- CONTENTS -- ACKNOWLEDGMENTS -- 1. WHAT IS DATA MINING? -- 2. CONTRASTS WITH THE CONVENTIONAL STATISTICAL APPROACH -- 3. SOME GENERAL STRATEGIES USED IN DATA MINING -- 4. IMPORTANT STAGES IN A DATA MINING PROJECT -- 5. PREPARING TRAINING AND TEST DATASETS -- 6. VARIABLE SELECTION TOOLS -- 7. CREATING NEW VARIABLES -- 8. EXTRACTING VARIABLES -- 9. CLASSIFIERS -- 10. CLASSIFICATION TREES -- 11. NEURAL NETWORKS -- 12. CLUSTERING -- 13. LATENT CLASS ANALYSIS AND MIXTURE MODELS -- 14. ASSOCIATION RULES -- CONCLUSION. Where Next? -- BIBLIOGRAPHY -- NOTES -- INDEX |
| Record Nr. | UNINA-9910788152303321 |
|
Attewell Paul A. <1949->
|
||
| Oakland, California : , : University of California Press, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Data mining for the social sciences : an introduction / / Paul Attewell and David B. Monaghan
| Data mining for the social sciences : an introduction / / Paul Attewell and David B. Monaghan |
| Autore | Attewell Paul A. <1949-> |
| Pubbl/distr/stampa | Oakland, California : , : University of California Press, , 2015 |
| Descrizione fisica | 1 online resource (265 p.) |
| Disciplina | 006.3/12 |
| Soggetto topico |
Social sciences - Data processing
Social sciences - Statistical methods Data mining |
| Soggetto non controllato |
analyzing data
bayesian networks big data bootstrapping business analytics chaid classification and regression trees classification trees confusion matrix data analysis data mining data processing data scholarship data science hardware for data mining heteroscedasticity naive bayes partition trees permutation tests scholarly data social science social scientists software for data mining statistical methods statistical modeling studying data text mining vif regression weka |
| ISBN |
0-520-28098-9
0-520-96059-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Front matter -- CONTENTS -- ACKNOWLEDGMENTS -- 1. WHAT IS DATA MINING? -- 2. CONTRASTS WITH THE CONVENTIONAL STATISTICAL APPROACH -- 3. SOME GENERAL STRATEGIES USED IN DATA MINING -- 4. IMPORTANT STAGES IN A DATA MINING PROJECT -- 5. PREPARING TRAINING AND TEST DATASETS -- 6. VARIABLE SELECTION TOOLS -- 7. CREATING NEW VARIABLES -- 8. EXTRACTING VARIABLES -- 9. CLASSIFIERS -- 10. CLASSIFICATION TREES -- 11. NEURAL NETWORKS -- 12. CLUSTERING -- 13. LATENT CLASS ANALYSIS AND MIXTURE MODELS -- 14. ASSOCIATION RULES -- CONCLUSION. Where Next? -- BIBLIOGRAPHY -- NOTES -- INDEX |
| Record Nr. | UNINA-9910814373503321 |
|
Attewell Paul A. <1949->
|
||
| Oakland, California : , : University of California Press, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Edge Computing for Internet of Things
| Edge Computing for Internet of Things |
| Autore | Lee Kevin |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (186 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology Energy industries & utilities |
| Soggetto non controllato |
hierarchical edge computing
WSN rapid response strategy edge node fog access points cache memory convolutional neural network proactive caching fog computing Internet of Things service placement fog service orchestration spectral classification portable optical fiber spectrometers dew computing edge computing smartphone job scheduling scheduling heuristics mobile edge computing mobile edge server placement multiagent RL edge security offloading computation distributed collaboration data processing dynamic offloading IoT gateways Internet of Things (IoT) failure recovery FP-Growth algorithm association rules frequency pattern analysis computational offloading orchestration functional programming |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910576879503321 |
|
Lee Kevin
|
||
| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Frontiers in Ultra-Precision Machining
| Frontiers in Ultra-Precision Machining |
| Autore | Guo Jiang |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (246 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
fused silica
small-scale damage magnetorheological removing method combined repairing process evolution law diamond grinding single crystal silicon subsurface damage crystal orientation spherical shell thin-walled part wall-thickness benchmark coincidence data processing ultra-precision machining computer-controlled optical surfacing dwell time algorithm removal function elementary approximation atmospheric pressure plasma jet continuous phase plate surface topography high accuracy and efficiency polar microstructures optimization machining parameters cutting strategy flexible grinding shear thickening fluid cluster effect high-shear low-pressure aluminum ion beam sputtering morphology evolution molecular dynamics electrochemical discharge machining (ECDM) material removal rate (MRR) electrode wear ratio (EWR) overcut (OC) electrical properties tool material diamond tool single-point diamond turning lubricant ferrous metal electrorheological polishing polishing tool roughness integrated electrode Nano-ZrO2 ceramics ultra-precision grinding surface residual material surface quality three-dimensional surface roughness reversal method eccentricity piezoelectric actuator flange dynamic modeling surface characterization cutting forces tool servo diamond cutting data-dependent systems surface topography variation microstructured surfaces microlens array three-dimensional elliptical vibration cutting piezoelectric hysteresis Bouc-Wen model flower pollination algorithm dynamic switching probability strategy parameter identification atom probe tomography (APT) single-wedge lift-out focused ion beam (FIB) Al/Ni multilayers vibration-assisted electrochemical machining (ECM) blisk narrow channel high aspect ratio multi-physics coupling simulation machining stability |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910566486003321 |
|
Guo Jiang
|
||
| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
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 electronic resource (276 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
metabolic networks
mass spectral libraries metabolite annotation metabolomics data mapping nontarget analysis liquid chromatography mass spectrometry compound identification tandem mass spectral library forensics wastewater gut microbiome meta-omics metagenomics metabolomics metabolic reconstructions genome-scale metabolic modeling constraint-based modeling flux balance host–microbiome metabolism global metabolomics LC-MS spectra processing pathway analysis enrichment analysis mass spectrometry liquid chromatography MS spectral prediction metabolite identification structure-based chemical classification rule-based fragmentation combinatorial fragmentation time series PLS NPLS variable selection bootstrapped-VIP data repository computational metabolomics reanalysis lipidomics data processing triplot multivariate risk modeling environmental factors disease risk chemical classification in silico workflows metabolome mining molecular families networking substructures mass spectrometry imaging metabolomics imaging biostatistics ion selection algorithms liquid chromatography high-resolution mass spectrometry data-independent acquisition all ion fragmentation targeted analysis untargeted analysis R programming full-scan MS/MS processing R-MetaboList 2 liquid chromatography–mass spectrometry (LC/MS) fragmentation (MS/MS) data-dependent acquisition (DDA) simulator in silico untargeted metabolomics liquid chromatography–mass spectrometry (LC-MS) experimental design sample preparation univariate and multivariate statistics metabolic pathway and network analysis LC–MS metabolic profiling computational statistical unsupervised learning supervised learning |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557354403321 |
|
Hanhineva Kati
|
||
| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Recent advances and the future generation of neuroinformatics infrastructure
| Recent advances and the future generation of neuroinformatics infrastructure |
| Autore | John Van Horn |
| Pubbl/distr/stampa | Frontiers Media SA, 2015 |
| Descrizione fisica | 1 electronic resource (388 p.) |
| Collana | Frontiers Research Topics |
| Soggetto non controllato |
Neuroimaging
database neuroinformatics workflow infrastructure high-throughput data processing |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910136808203321 |
|
John Van Horn
|
||
| Frontiers Media SA, 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
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 |
|
Srivastava Hari Mohan
|
||
| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
