Pubbl/distr/stampa	Basel : , : MDPI - Multidisciplinary Digital Publishing Institute, , 2022
Descrizione fisica	1 online resource (434 pages)
Disciplina	004
Soggetto topico	Computer science
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	Preface to "The 8th International Conference on Time Series and Forecastingnacio Rojas -- Statement of Peer Review -- Evaluating a Recurrent Neural Network Model for Predicting Readmission to Cardiovascular ICUs Based on Clinical Time Series Data -- K-Means Clustering Assisted Spectrum Utilization Prediction with Deep Learning Models -- Alone We Can Do So Little; Together We Cannot Be Detected -- ODIN TS: A Tool for the Black-Box Evaluation of Time Series Analytics -- Cloud-Base Height Estimation Based on CNN and All Sky Images -- A Hybrid Model of VAR-DCC-GARCH and Wavelet Analysis for Forecasting Volatility -- Synthetic Subject Generation with Coupled Coherent Time Series Data -- Price Dynamics and Measuring the Contagion between Brent Crude and Heating Oil (US-Diesel) Pre and Post COVID-19 Outbreak -- Hybrid K-Mean Clustering and Markov Chain for Mobile Network Accessibility and Retainability Prediction -- A Multivariate Approach for Spatiotemporal Mobile Data Traffic Prediction -- An Application of Neural Networks to Predict COVID-19 Cases in Italy -- Relationship between Stationarity and Dynamic Convergence of Time Series -- Partitioning of Net Ecosystem Exchange Using Dynamic Mode Decomposition and Time Delay Embedding -- An Ordinal Procedure to Detect Change Points in the Dependence Structure between -- On the Prospective Use of Deep Learning Systems for Earthquake Forecasting over Schumann -- Hadeel Afifi, Mohamed Elmahdy, Motaz El Saban and Mervat Abu-Elkheir -- Probabilistic Forecasting for Oil Producing Wells Using Seq2seq Augmented Model -- Towards Time-Series Feature Engineering in Automated Machine Learning for Multi-Step-Ahead Forecasting -- PV Fault Diagnosis Method Based on Time Series Electrical Signal Analysis -- Early Detection of Flash Floods Using Case-Based Reasoning -- Inland Areas, Protected Natural Areas and Sustainable Development -- Expectation-Maximization Algorithm for Autoregressive Models with Cauchy Innovations -- Deep Representation Learning for Cluster-Level Time Series Forecasting -- Elpiniki Papageorgiou, Theofilos Mastos and Angelos Papadopoulos -- Autoencoders for Anomaly Detection in an Industrial Multivariate Time Series Dataset -- Time Series Clustering of High Gamma Dose Rate Incidents -- A Dynamic Combination of Theta Method and ATA: Validating on a Real Business Case -- Limitation of Deep-Learning Algorithm for Prediction of Power Consumption -- Combination of Post-Processing Methods to Improve High-Resolution NWP Solar Irradiance -- Mohammed Al Saleh, Beatrice Finance, Yehia Taher, Ali Jaber and Roger Luff -- Comparative Analysis of Residential Load Forecasting with Different Levels of Aggregation -- An Open Source and Reproducible Implementation of LSTM and GRU Networks for Time Series Forecasting -- Outliers Impact on Parameter Estimation of Gaussian and Non-Gaussian State Space Models: A Simulation Study -- Time Series Sampling -- Modelling a Continuous Time Series with FOU(p) Processes -- PV Energy Prediction in 24 h Horizon Using Modular Models Based on Polynomial Conversion of the L-Transform PDE Derivatives in Node-by-Node-Evolved Binary-Tree Networks -- Modelling the Number of Daily Stock Transactions Using a Novel Time Series Model -- Improving the Predictive Power of Historical Consistent Neural Networks -- Exploration of Different Time Series Models for Soccer Athlete Performance Prediction -- The Bootstrap for Testing the Equality of Two Multivariate Stochastic Processes with an Application to Financial Markets -- Using Forecasting Methods on Crime Data: The SKALA Approach of the State Office for Criminal Investigation of North Rhine-Westphalia -- Reconstructed Phase Spaces and LSTM Neural Network Ensemble Predictions -- Dynamic Asymmetric Causality Tests with an Application -- Coarse Grain Spectral Analysis for the Low-Amplitude Signature of Multiperiodic Stellar -- Pulsators.
Record Nr.	UNINA-9910674371503321

Edizione	[1st ed. 2023.]
Pubbl/distr/stampa	Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Descrizione fisica	1 online resource (xxiv, 669 pages) : illustrations (some color)
Disciplina	570.285 570.113
Altri autori (Persone)	RojasIgnacio JoyaGonzalo CatalaAndreu
Collana	Lecture Notes in Computer Science
Soggetto topico	Computational intelligence Neural networks (Computer science)
ISBN	3-031-43078-6
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	Deep Learning and Applications -- Deep Learning Applied to Computer Vision and Robotics -- General Applications of Artificial Intelligence -- Interaction with Neural Systems in Both Health and Disease -- Machine Learning for 4.0 Industry Solutions -- Neural Networks in Chemistry and Material Characterization -- Ordinal Classification -- Real World Applications of BCI Systems -- and Spiking Neural Networks: Applications and Algorithms.
Record Nr.	UNISA-996552463903316

Edizione	[1st ed. 2021.]
Pubbl/distr/stampa	Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021
Descrizione fisica	1 online resource (456 pages)
Disciplina	006.3
Collana	Theoretical Computer Science and General Issues
Soggetto topico	Artificial intelligence Social sciences - Data processing Education - Data processing Computer vision Computer networks Computer systems Artificial Intelligence Computer Application in Social and Behavioral Sciences Computers and Education Computer Vision Computer Communication Networks Computer System Implementation
ISBN	3-030-85099-4
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	Information fusion in Deep Learning for Biomedicine -- Intelligent Computing Solutions for SARS-CoV-2 Covid-19 (INClutions COVID-19) -- Advanced Topics in Computational Intelligence -- Biosignals Processing -- Deep Learning -- Meta-Learning and Other Automatic Learning Approaches in Intelligent Systems -- Artificial Intelligence and Biomedicine -- Convolutional Neural Networks: Beyond Traditional Solutions -- Bio-inspired Systems and Neuro-Engineering -- Agent-Based Models for Policy Design Towards a More Sustainable World -- Randomization in Deep Learning -- Neural Networks for Time Series Forecasting -- Applications in Artificial Intelligence.
Record Nr.	UNINA-9910495155803321

Edizione	[1st ed. 2019.]
Pubbl/distr/stampa	Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Descrizione fisica	1 online resource (XXX, 940 p. 394 illus., 262 illus. in color.)
Disciplina	006.3
Collana	Theoretical Computer Science and General Issues
Soggetto topico	Bioinformatics Artificial intelligence Computer vision Computer networks Algorithms Data protection Computational and Systems Biology Artificial Intelligence Computer Vision Computer Communication Networks Data and Information Security
ISBN	3-030-20521-5
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	Machine learning in weather observation and forecasting -- Computational intelligence methods for time series -- Human activity recognition -- New and future tendencies in brain-computer interface systems -- Random-weights neural networks -- Pattern recognition -- Deep learning and natural language processing -- Software testing and intelligent systems -- Data-driven intelligent transportation systems -- Deep learning models in healthcare and biomedicine.
Record Nr.	UNISA-996466328403316