Computational Mathematics, Algorithms, and Data Processing |
Autore | Mortari Daniele |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
Descrizione fisica | 1 electronic resource (172 p.) |
Soggetto topico |
Research & information: general
Mathematics & science |
Soggetto non controllato |
interpolation
constraints embedded constraints generalized multiscale finite element method multiscale model reduction deep learning Deep Neural Nets ReLU Networks Approximation Theory radial basis functions native spaces truncated function approximation surface modeling second order initial value problems linear multistep methods Obrechkoff schemes trigonometrically fitted Darcy-Forchheimer model flow in porous media nonlinear equation heterogeneous media finite element method multiscale method mixed generalized multiscale finite element method multiscale basis functions two-dimensional domain Thiele-like rational interpolation continued fractions with parameters unattainable point inverse difference virtual point polynomial chaos Szegő polynomials directional statistics Rogers-Szegő state estimation clustering |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557304403321 |
Mortari Daniele
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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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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 |
Luo Suhuai
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Basel, : MDPI Books, 2022 | ||
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Lo trovi qui: Univ. Federico II | ||
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Computational Methods for Risk Management in Economics and Finance |
Autore | Resta Marina |
Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
Descrizione fisica | 1 electronic resource (234 p.) |
Soggetto non controllato |
growth optimal portfolio
Wishart model conditional Value-at-Risk (CoVaR) systemic risk utility functions current drawdown risk measure risk-based portfolios capital market pricing model systemic risk measures Big Data International Financial Reporting Standard 9 cartography stock prices copula models CoVaR quantitative risk management auto-regressive fractional Kelly allocation independence assumption deep learning structural models financial regulation data science efficient frontier weighted logistic regression estimation error financial markets capital allocation multi-step ahead forecasts target matrix value at risk random matrices credit risk portfolio theory convex programming admissible convex risk measures non-stationarity financial mathematics quantile regression Markowitz portfolio theory shrinkage loss given default ordered probit |
ISBN | 3-03928-499-1 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910404091803321 |
Resta Marina
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MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
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Lo trovi qui: Univ. Federico II | ||
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Computational Methods for the Analysis of Genomic Data and Biological Processes |
Autore | Gómez Vela Francisco A |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
Descrizione fisica | 1 electronic resource (222 p.) |
Soggetto topico |
Research & information: general
Biology, life sciences |
Soggetto non controllato |
HIGD2A
cancer DNA methylation mRNA expression miRNA quercetin hypoxia eQTL CRISPR-Cas9 single-cell clone fine-mapping power RNA N6-methyladenosine site yeast genome methylation computational biology deep learning bioinformatics hepatocellular carcinoma transcriptomics proteomics bioinformatics analysis differentiation Gene Ontology Reactome Pathways gene-set enrichment meta-analysis transcription factor binding sites genomics chilling stress CBF DREB CAMTA1 pathway text mining infiltration tactics optimization algorithm classification clustering microarray ensembles machine learning infiltration computational intelligence gene co-expression network murine coronavirus viral infection immune response data mining systems biology obesity differential genes expression exercise high-fat diet pathways potential therapeutic targets DNA N6-methyladenine Chou's 5-steps rule Convolution Neural Network (CNN) Long Short-Term Memory (LSTM) machine-learning chromatin interactions prediction genome architecture |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557129603321 |
Gómez Vela Francisco A
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Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
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Lo trovi qui: Univ. Federico II | ||
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Computational Optimizations for Machine Learning |
Autore | Gabbay Freddy |
Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
Descrizione fisica | 1 electronic resource (276 p.) |
Soggetto topico |
Research & information: general
Mathematics & science |
Soggetto non controllato |
ARIMA model
time series analysis online optimization online model selection precipitation nowcasting deep learning autoencoders radar data generalization error recurrent neural networks machine learning model predictive control nonlinear systems neural networks low power quantization CNN architecture multi-objective optimization genetic algorithms evolutionary computation swarm intelligence Heating, Ventilation and Air Conditioning (HVAC) metaheuristics search bio-inspired algorithms smart building soft computing training evolution of weights artificial intelligence deep neural networks convolutional neural network deep compression DNN ReLU floating-point numbers hardware acceleration energy dissipation FLOW-3D hydraulic jumps bed roughness sensitivity analysis feature selection evolutionary algorithms nature inspired algorithms meta-heuristic optimization computational intelligence |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557610303321 |
Gabbay Freddy
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Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
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Lo trovi qui: Univ. Federico II | ||
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Contemporary Natural Philosophy and Philosophies - Part 2 |
Autore | Dodig-Crnkovic Gordana |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
Descrizione fisica | 1 electronic resource (196 p.) |
Soggetto topico | Philosophy |
Soggetto non controllato |
Number world
spurious law emergent law dialectics epistemon information logic in reality natural philosophy ontolon semiotics ontology BFO tropes applied philosophy thought-experiment libero arbitrio freedom of will knowledge synthesis epistemology breakthrough knowledge domain-specific knowledge web-based search grounded theory Bradford Hill criteria association causation mediation naturalistic epistemology knowledge how knowledge that anti-intellectualism intellectualism practical grasp cognitive science physical information abstract information physical phenomena abstract entities learning learning to learn deep learning information processing natural computing morphological computing info-computation connectionism symbolism cognition robotics artificial intelligence contemporary natural philosophy idola mentis scientific methodology quantitative and qualitative methods structural analysis abstraction complexity knowledge naturalism slips basic activities philosophy of nature unity of knowledge |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557284603321 |
Dodig-Crnkovic Gordana
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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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Convergence of Intelligent Data Acquisition and Advanced Computing Systems |
Autore | Stamatescu Grigore |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
Descrizione fisica | 1 electronic resource (189 p.) |
Soggetto topico |
Technology: general issues
Energy industries & utilities |
Soggetto non controllato |
automotive
current electric power train electric vehicle embedded systems delay detection distributed systems measurements power train sensor signals time delay estimation unmanned aerial vehicles wireless sensor networks intelligent data processing trajectory planning relevant data extraction data consensus Internet of Things precision agriculture system identification smart building artificial neural network energy efficiency black box modeling educational robotics data acquisition sensors ROS STEM CNN (Convolutional neural networks) deep learning pavement defects residual connection attention gate atrous spatial pyramid pooling intelligent charging demand response linear programming optimization smart parking smart grid ODE Solver OpenCL Parareal parallel/multi-core computing sensing systems heterogenous embedded systems deep sparse auto-encoders medical diagnosis linear model data classification PSO algorithm safety-related system component FPGA-designing logical and power-oriented checkability hidden faults clock signal consumed and dissipated power temperature and current consumption sensors |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557333503321 |
Stamatescu Grigore
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Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
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Lo trovi qui: Univ. Federico II | ||
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Current Approaches and Applications in Natural Language Processing |
Autore | Montejo-Ráez Arturo |
Pubbl/distr/stampa | Basel, : MDPI Books, 2022 |
Descrizione fisica | 1 electronic resource (476 p.) |
Soggetto topico |
Technology: general issues
History of engineering & technology |
Soggetto non controllato |
natural language processing
distributional semantics machine learning language model word embeddings machine translation sentiment analysis quality estimation neural machine translation pretrained language model multilingual pre-trained language model WMT neural networks recurrent neural networks named entity recognition multi-modal dataset Wikimedia Commons multi-modal language model concreteness curriculum learning electronic health records clinical text relationship extraction text classification linguistic corpus deception linguistic cues statistical analysis discriminant function analysis fake news detection stance detection social media abstractive summarization monolingual models multilingual models transformer models transfer learning discourse analysis problem-solution pattern automatic classification machine learning classifiers deep neural networks question answering machine reading comprehension query expansion information retrieval multinomial naive bayes relevance feedback cause-effect relation transitive closure word co-occurrence automatic hate speech detection multisource feature extraction Latin American Spanish language models fine-grained named entity recognition k-stacked feature fusion dual-stacked output unbalanced data problem document representation semantic analysis conceptual modeling universal representation trend analysis topic modeling Bert geospatial data technology and application attention model dual multi-head attention inter-information relationship question difficult estimation named-entity recognition BERT model conditional random field pre-trained model fine-tuning feature fusion attention mechanism task-oriented dialogue systems Arabic multi-lingual transformer model mT5 language marker mental disorder deep learning LIWC spaCy RobBERT fastText LIME conversational AI intent detection slot filling retrieval-based question answering query generation entity linking knowledge graph entity embedding global model DISC model personality recognition predictive model text analysis data privacy federated learning transformer |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910595079903321 |
Montejo-Ráez Arturo
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Basel, : MDPI Books, 2022 | ||
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Lo trovi qui: Univ. Federico II | ||
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Cyber Security of Critical Infrastructures |
Autore | Maglaras Leandros |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
Descrizione fisica | 1 electronic resource (316 p.) |
Soggetto topico | Technology: general issues |
Soggetto non controllato |
crypto-ransomware
locker-ransomware static analysis dynamic analysis machine learning assessment framework cybersecurity GDPR PCI-DSS DSPT NISD cyber-ranges security training security modelling serious games dynamic adaptation training programmes computers in education bloom STRIDE smart shipping military VMF hash chain T-OTP lightweight secure hash (LSH) CNR web application security vulnerability analysis security testing static analysis security testing dynamic analysis security testing interactive analysis security testing assessment methodology false positive false negative tools combination deep learning image classification transfer learning industrial control system fine-tuning testbeds cyber ranges cyber exercises education training research lattice cryptography code cryptography post quantum cryptography physical unclonable function public key infrastructure high performance computing malware analysis static malware analysis dynamic malware analysis malware classification random forest support vector machines smart grid risk assessment threat modeling formal verification probabilistic model checking cloud robotics image face recognition deep learning algorithms security encryption algorithms cybercrime Hasse diagram interval-valued complex intuitionistic fuzzy relations interval-valued complex intuitionistic fuzzy sets offensive cybersecurity cyber-attacks scoring model offensive cybersecurity framework |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557336503321 |
Maglaras Leandros
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Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
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Lo trovi qui: Univ. Federico II | ||
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Data Analytics and Applications of the Wearable Sensors in Healthcare |
Autore | Syed Abdul Shabbir |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
Descrizione fisica | 1 electronic resource (498 p.) |
Soggetto topico |
Humanities
Social interaction |
Soggetto non controllato |
eHealth
wearable monitoring services integration IoT Telemedicine wearable sensors multivariate analysis longitudinal study functional decline exercise intervention accidental falls fall detection real-world signal analysis performance measures non-wearable sensors accelerometers cameras machine learning smart textiles healthcare talking detection activity recognition and monitoring patient health and state monitoring wearable sensing orientation-invariant sensing motion sensors accelerometer gyroscope magnetometer pattern classification artificial intelligence supervised machine learning predictive analytics hemodialysis non-contact sensor heart rate respiration rate heart rate variability time-domain features frequency-domain features principal component analysis behaviour analysis classifier efficiency personal risk detection one-class classification actigraphy encoding data compression denoising edge computing signal processing wearables activity monitoring citizen science cluster analysis physical activity sedentary behavior walking energy expenditure wearable device impedance pneumography neural network mechanocardiogram (MCG) smart clothes heart failure (HF) left ventricular ejection fraction (LVEF) technology acceptance model (TAM) physical activity classification free-living GENEactiv accelerometer Gaussian mixture model hidden Markov model wavelets skill assessment deep learning LSTM state space model probabilistic inference latent features human activity recognition MIMU genetic algorithm feature selection classifier optimization bispectrum entropy feature extraction heat stroke filtering algorithm physiological parameters exercise experiment biomedical signal processing wearable biomedical sensors wireless sensor network respiratory monitoring optoelectronic plethysmography biofeedback biomedical technology exercise therapy orthopedics mobile health qualitative human factors inertial measurement unit disease prevention occupational healthcare P-Ergonomics precision ergonomics musculoskeletal disorders wellbeing at work electrocardiogram conductive gels noncontact electrode myocardial ischemia pacemaker ventricular premature contraction upper extremity motion action research arm test activities of daily living IoT wearable monitor health posture analysis spinal posture wearable sensor embedded system recurrent neural networks physical workload wearable systems for healthcare machine learning for real-time applications actigraph body worn sensors clothing sensors cross correlation analysis healthcare movement sensing wearable devices calibration inertial measurement units human movement physical activity type real-life GPS GIS |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557288603321 |
Syed Abdul Shabbir
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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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