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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 online resource (100 p.)
Soggetto topico Research & information: general
Technology: general issues
Soggetto non controllato autoregression
clustering
data filtration
data processing
decision tree
deep learning
electricity demand
energy demand
energy efficiency
evolutionary computation
exponential smoothing
forecasting
k-nearest neighbors
n/a
neuroevolution
photovoltaic power plant
regression
residential building
short-term forecasting
temporal convolutional network
time series
time series forecasting
time-series forecasting
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
Opac: Controlla la disponibilità qui
Computational Methods for the Analysis of Genomic Data and Biological Processes
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 online resource (222 p.)
Soggetto topico Biology, life sciences
Research & information: general
Soggetto non controllato binding sites
bioinformatics
bioinformatics analysis
CAMTA1
cancer
CBF
chilling stress
Chou's 5-steps rule
chromatin interactions
classification
clustering
computational biology
computational intelligence
Convolution Neural Network (CNN)
CRISPR-Cas9
data mining
deep learning
differential genes expression
differentiation
DNA methylation
DNA N6-methyladenine
DREB
ensembles
eQTL
exercise
fine-mapping
gene co-expression network
Gene Ontology
gene-set enrichment
genome architecture
genomics
hepatocellular carcinoma
HIGD2A
high-fat diet
hypoxia
immune response
infiltration
infiltration tactics optimization algorithm
Long Short-Term Memory (LSTM)
machine learning
machine-learning
meta-analysis
methylation
microarray
miRNA
mRNA expression
murine coronavirus
n/a
obesity
pathway
pathways
potential therapeutic targets
power
prediction
proteomics
quercetin
Reactome Pathways
RNA N6-methyladenosine site
single-cell clone
systems biology
text mining
transcription factor
transcriptomics
viral infection
yeast genome
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557129603321
Gómez Vela Francisco A  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui