top

  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.

  Info

  • Utilizzare questo link per rimuovere la selezione effettuata.
Advanced Operation and Maintenance in Solar Plants, Wind Farms and Microgrids
Advanced Operation and Maintenance in Solar Plants, Wind Farms and Microgrids
Autore Hernández-Callejo Luis
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 electronic resource (366 p.)
Soggetto topico Research & information: general
Physics
Soggetto non controllato wind turbine
electric generator
spectral analysis
fault diagnosis
photovoltaic power forecasting
data-driven
deep learning
variational autoencoders
RNN
angle swinging
grid frequency oscillations
electromechanical system
inertial masses
microgrids
coordination protection
distributed generation
photovoltaic resources
DigSILENT
photovoltaic module
defect detection
power plant
efficiency
thermal image
photovoltaic aging
dark I-V curves
bidirectional power inverter
online distributed measurement of dark I-V curves
sustainability
compressive strength
Bolomey formula
sustainable concrete
glass powder
solar cell
solar panel
parameter extraction
analytical
Lambert W-function
spacecraft solar panels
I-V curve
modeling
wind power
non-conventional renewable energy
forecasting
energy bands
combinatorial optimization
deep learning (DL)
unmanned aerial vehicle (UAV)
photovoltaic (PV) systems
image-processing
image segmentation
semantic segmentation
faults diagnostic
artificial intelligence
unbalanced datasets
synthetic data
artificial neural network based MPPT
hybrid boost converter
renewable energies
solar power system
microgrid
control system
storage system
primary control
photovoltaic (PV) plants
coverage path planning (CPP)
corrosion monitoring
FPGA
offshore wind turbines
ultrasound
thickness loss
SCADA
visualisation
software
wind-turbine
windfarm
cross-platform
HMI
GUI
corrosion
monitoring
photovoltaic systems
expected energy models
fleet-scale
lasso regression
performance modeling
machine learning
fault location in photovoltaic arrays
failure modes simulation
fault detection criterion
adaptive protection
distributed power generation
power distribution
power system protection
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910566457603321
Hernández-Callejo Luis  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Algebraic Structures of Neutrosophic Triplets, Neutrosophic Duplets, or Neutrosophic Multisets . Volume 1
Algebraic Structures of Neutrosophic Triplets, Neutrosophic Duplets, or Neutrosophic Multisets . Volume 1
Autore Ali Muhammad Mumtaz
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2019
Descrizione fisica 1 electronic resource (478 pages)
Soggetto non controllato similarity measure
generalized partitioned Bonferroni mean operator
normal distribution
school administrator
complex neutrosophic set
expert set
neutrosophic classification
multi-attribute decision-making (MADM)
multi-criteria decision-making (MCDM) techniques
criterion functions
matrix representation
possibility degree
quantum computation
typhoon disaster evaluation
NT-subgroup
generalized neutrosophic ideal
three-way decisions
decision-making
G-metric
multiple attribute group decision-making (MAGDM)
SVM
semi-neutrosophic triplets
LA-semihypergroups
power operator
fuzzy graph
neutrosophic cubic graphs
LNGPBM operator
neutrosophic c-means clustering
(commutative) ideal
region growing
clustering algorithm
Neutrosophic cubic sets
forecasting
vector similarity measure
totally dependent-neutrosophic soft set
Fenyves identities
TODIM model
similarity measures
CI-algebra
Dice measure
de-neutrosophication methods
DSmT
semigroup
VIKOR model
multigranulation neutrosophic rough set (MNRS)
simplified neutrosophic linguistic numbers
Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS)
multi-criteria group decision making
multi-attribute group decision-making (MAGDM)
exponential operational laws of interval neutrosophic numbers
simplified neutrosophic weighted averaging operator
neutro-epimorphism
Choquet integral
fixed point theory (FPT)
computability
neutrosophic triplet set
interval-valued neutrosophic set
simplified neutrosophic sets (SNSs)
totally dependent-neutrosophic set
Maclaurin symmetric mean
recursive enumerability
loop
photovoltaic plan
intersection
neutrosophic bipolar fuzzy set
big data
inclusion relation
dual aggregation operators
Hamming distance
neutro-automorphism
neutrosophic set theory
multiple attribute decision-making
multicriteria decision-making
pseudo primitive elements
medical diagnosis
neutrosophic G-metric
bipolar fuzzy set
NC power dual MM operator (NCPDMM) operator
neutrosophic sets (NSs)
emerging technology commercialization
neutrosophic triplet groups
probabilistic rough sets over two universes
neutrosophic triplet set (NTS)
neutrosophic triplet cosets
MM operator
TOPSIS
cloud model
extended ELECTRE III
extended TOPSIS method
2ingle-valued neutrosophic set
dual domains
probabilistic single-valued (interval) neutrosophic hesitant fuzzy set
Jaccard measure
data mining
BE-algebra
neutrosophic soft set
aggregation operators
image segmentation
multiple attribute decision making (MADM)
neutrosophic duplets
fundamental neutro-homomorphism theorem
neutro-homomorphism
power aggregation operator
linear and non-linear neutrosophic number
multi-attribute decision making
first neutro-isomorphism theorem
MCGDM problems
neutrosophic bipolar fuzzy weighted averaging operator
Bonferroni mean
analytic hierarchy process (AHP)
quasigroup
action learning
weak commutative neutrosophic triplet group
generalized aggregation operators
single valued neutrosophic multiset (SVNM)
sustainable supplier selection problems (SSSPs)
LNGWPBM operator
skin cancer
oracle computation
fault diagnosis
interval valued neutrosophic support soft sets
neutrosophic triplet normal subgroups
soft set
multi-criteria decision-making
neutrosophic triplet
generalized group
neutrosophic multiset (NM)
two universes
algorithm
multi-attribute decision making (MADM)
PA operator
BCI-algebra
neutrosophic triplet group (NTG)
single valued trapezoidal neutrosophic number
quasi neutrosophic triplet loop
neutrosophy
complex neutrosophic graph
S-semigroup of neutrosophic triplets
and second neutro-isomorphism theorem
MADM
dermoscopy
linguistic neutrosophic sets
defuzzification
construction project
potential evaluation
neutrosophic big data
decision-making algorithms
neutosophic extended triplet subgroups
applications of neutrosophic cubic graphs
fuzzy time series
TFNNs VIKOR method
two-factor fuzzy logical relationship
oracle Turing machines
grasp type
interval neutrosophic sets
multi-criteria group decision-making
interval neutrosophic weighted exponential aggregation (INWEA) operator
power aggregation operators
neutrosophic triplet group
MGNRS
2-tuple linguistic neutrosophic sets (2TLNSs)
computation
filter
multi-valued neutrosophic set
integrated weight
Bol-Moufang
prioritized operator
interval number
logic
pseudo-BCI algebra
interval neutrosophic set (INS)
neutrosophic rough set
soft sets
Q-neutrosophic
Linguistic neutrosophic sets
fuzzy measure
homomorphism theorem
commutative generalized neutrosophic ideal
neutrosophic association rule
shopping mall
dependent degree
Q-linguistic neutrosophic variable set
quasi neutrosophic loops
symmetry
neutrosophic sets
neutrosophic logic
neutrosophic cubic set
complement
robotic dexterous hands
neutro-monomorphism
group
analytic network process
Muirhead mean
maximizing deviation
classical group of neutrosophic triplets
neutrosophic triplet quotient groups
generalized neutrosophic set
multi-criteria group decision-making (MCGDM)
support soft sets
decision making
generalized De Morgan algebra
multiple attribute group decision making (MAGDM)
single-valued neutrosophic multisets
2TLNNs TODIM method
membership
grasping configurations
single valued neutrosophic set (SVNS)
multiple attribute decision making problem
SWOT analysis
neutrosophic clustering
hesitant fuzzy set
interval neutrosophic numbers (INNs)
quasi neutrosophic triplet group
triangular fuzzy neutrosophic sets (TFNSs)
interdependency of criteria
aggregation operator
cosine measure
neutrosophic set
neutrosophic computation
decision-making trial and evaluation laboratory (DEMATEL)
partial metric spaces (PMS)
NCPMM operator
clustering
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910346845803321
Ali Muhammad Mumtaz  
MDPI - Multidisciplinary Digital Publishing Institute, 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Algebraic Structures of Neutrosophic Triplets, Neutrosophic Duplets, or Neutrosophic Multisets . Volume 2
Algebraic Structures of Neutrosophic Triplets, Neutrosophic Duplets, or Neutrosophic Multisets . Volume 2
Autore Ali Mumtaz
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2019
Descrizione fisica 1 electronic resource (450 p.)
Soggetto non controllato similarity measure
generalized partitioned Bonferroni mean operator
normal distribution
school administrator
complex neutrosophic set
expert set
neutrosophic classification
multi-attribute decision-making (MADM)
multi-criteria decision-making (MCDM) techniques
criterion functions
matrix representation
possibility degree
quantum computation
typhoon disaster evaluation
NT-subgroup
generalized neutrosophic ideal
three-way decisions
decision-making
G-metric
multiple attribute group decision-making (MAGDM)
SVM
semi-neutrosophic triplets
LA-semihypergroups
power operator
fuzzy graph
neutrosophic cubic graphs
LNGPBM operator
neutrosophic c-means clustering
(commutative) ideal
region growing
clustering algorithm
Neutrosophic cubic sets
forecasting
vector similarity measure
totally dependent-neutrosophic soft set
Fenyves identities
TODIM model
similarity measures
CI-algebra
Dice measure
de-neutrosophication methods
DSmT
semigroup
VIKOR model
multigranulation neutrosophic rough set (MNRS)
simplified neutrosophic linguistic numbers
Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS)
multi-criteria group decision making
multi-attribute group decision-making (MAGDM)
exponential operational laws of interval neutrosophic numbers
simplified neutrosophic weighted averaging operator
neutro-epimorphism
Choquet integral
fixed point theory (FPT)
computability
neutrosophic triplet set
interval-valued neutrosophic set
simplified neutrosophic sets (SNSs)
totally dependent-neutrosophic set
Maclaurin symmetric mean
recursive enumerability
loop
photovoltaic plan
intersection
neutrosophic bipolar fuzzy set
big data
inclusion relation
dual aggregation operators
Hamming distance
neutro-automorphism
neutrosophic set theory
multiple attribute decision-making
multicriteria decision-making
pseudo primitive elements
medical diagnosis
neutrosophic G-metric
bipolar fuzzy set
NC power dual MM operator (NCPDMM) operator
neutrosophic sets (NSs)
emerging technology commercialization
neutrosophic triplet groups
probabilistic rough sets over two universes
neutrosophic triplet set (NTS)
neutrosophic triplet cosets
MM operator
TOPSIS
cloud model
extended ELECTRE III
extended TOPSIS method
2ingle-valued neutrosophic set
dual domains
probabilistic single-valued (interval) neutrosophic hesitant fuzzy set
Jaccard measure
data mining
BE-algebra
neutrosophic soft set
aggregation operators
image segmentation
multiple attribute decision making (MADM)
neutrosophic duplets
fundamental neutro-homomorphism theorem
neutro-homomorphism
power aggregation operator
linear and non-linear neutrosophic number
multi-attribute decision making
first neutro-isomorphism theorem
MCGDM problems
neutrosophic bipolar fuzzy weighted averaging operator
Bonferroni mean
analytic hierarchy process (AHP)
quasigroup
action learning
weak commutative neutrosophic triplet group
generalized aggregation operators
single valued neutrosophic multiset (SVNM)
sustainable supplier selection problems (SSSPs)
LNGWPBM operator
skin cancer
oracle computation
fault diagnosis
interval valued neutrosophic support soft sets
neutrosophic triplet normal subgroups
soft set
multi-criteria decision-making
neutrosophic triplet
generalized group
neutrosophic multiset (NM)
two universes
algorithm
multi-attribute decision making (MADM)
PA operator
BCI-algebra
neutrosophic triplet group (NTG)
single valued trapezoidal neutrosophic number
quasi neutrosophic triplet loop
neutrosophy
complex neutrosophic graph
S-semigroup of neutrosophic triplets
and second neutro-isomorphism theorem
MADM
dermoscopy
linguistic neutrosophic sets
defuzzification
construction project
potential evaluation
neutrosophic big data
decision-making algorithms
neutosophic extended triplet subgroups
applications of neutrosophic cubic graphs
fuzzy time series
TFNNs VIKOR method
two-factor fuzzy logical relationship
oracle Turing machines
grasp type
interval neutrosophic sets
multi-criteria group decision-making
interval neutrosophic weighted exponential aggregation (INWEA) operator
power aggregation operators
neutrosophic triplet group
MGNRS
2-tuple linguistic neutrosophic sets (2TLNSs)
computation
filter
multi-valued neutrosophic set
integrated weight
Bol-Moufang
prioritized operator
interval number
logic
pseudo-BCI algebra
interval neutrosophic set (INS)
neutrosophic rough set
soft sets
Q-neutrosophic
Linguistic neutrosophic sets
fuzzy measure
homomorphism theorem
commutative generalized neutrosophic ideal
neutrosophic association rule
shopping mall
dependent degree
Q-linguistic neutrosophic variable set
quasi neutrosophic loops
symmetry
neutrosophic sets
neutrosophic logic
neutrosophic cubic set
complement
robotic dexterous hands
neutro-monomorphism
group
analytic network process
Muirhead mean
maximizing deviation
classical group of neutrosophic triplets
neutrosophic triplet quotient groups
generalized neutrosophic set
multi-criteria group decision-making (MCGDM)
support soft sets
decision making
generalized De Morgan algebra
multiple attribute group decision making (MAGDM)
single-valued neutrosophic multisets
2TLNNs TODIM method
membership
grasping configurations
single valued neutrosophic set (SVNS)
multiple attribute decision making problem
SWOT analysis
neutrosophic clustering
hesitant fuzzy set
interval neutrosophic numbers (INNs)
quasi neutrosophic triplet group
triangular fuzzy neutrosophic sets (TFNSs)
interdependency of criteria
aggregation operator
cosine measure
neutrosophic set
neutrosophic computation
decision-making trial and evaluation laboratory (DEMATEL)
partial metric spaces (PMS)
NCPMM operator
clustering
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910346845703321
Ali Mumtaz  
MDPI - Multidisciplinary Digital Publishing Institute, 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Artificial Neural Networks and Evolutionary Computation in Remote Sensing
Artificial Neural Networks and Evolutionary Computation in Remote Sensing
Autore Kavzoglu Taskin
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (256 p.)
Soggetto topico Research & information: general
Soggetto non controllato convolutional neural network
image segmentation
multi-scale feature fusion
semantic features
Gaofen 6
aerial images
land-use
Tai’an
convolutional neural networks (CNNs)
feature fusion
ship detection
optical remote sensing images
end-to-end detection
transfer learning
remote sensing
single shot multi-box detector (SSD)
You Look Only Once-v3 (YOLO-v3)
Faster RCNN
statistical features
Gaofen-2 imagery
winter wheat
post-processing
spatial distribution
Feicheng
China
light detection and ranging
LiDAR
deep learning
convolutional neural networks
CNNs
mask regional-convolutional neural networks
mask R-CNN
digital terrain analysis
resource extraction
hyperspectral image classification
few-shot learning
quadruplet loss
dense network
dilated convolutional network
artificial neural networks
classification
superstructure optimization
mixed-inter nonlinear programming
hyperspectral images
super-resolution
SRGAN
model generalization
image downscaling
mixed forest
multi-label segmentation
semantic segmentation
unmanned aerial vehicles
classification ensemble
machine learning
Sentinel-2
geographic information system (GIS)
earth observation
on-board
microsat
mission
nanosat
AI on the edge
CNN
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557148403321
Kavzoglu Taskin  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries [[electronic resource] ] : 7th International Workshop, BrainLes 2021, Held in Conjunction with MICCAI 2021, Virtual Event, September 27, 2021, Revised Selected Papers, Part I / / edited by Alessandro Crimi, Spyridon Bakas
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries [[electronic resource] ] : 7th International Workshop, BrainLes 2021, Held in Conjunction with MICCAI 2021, Virtual Event, September 27, 2021, Revised Selected Papers, Part I / / edited by Alessandro Crimi, Spyridon Bakas
Autore Crimi Alessandro
Edizione [1st ed. 2022.]
Pubbl/distr/stampa Cham, : Springer Nature, 2022
Descrizione fisica 1 online resource (XXI, 489 p. 171 illus., 134 illus. in color.)
Disciplina 006.37
Collana Lecture Notes in Computer Science
Soggetto topico Computer vision
Artificial intelligence
Computer engineering
Computer networks
Application software
Computer Vision
Artificial Intelligence
Computer Engineering and Networks
Computer and Information Systems Applications
Soggetto non controllato artificial intelligence
bioinformatics
computer science
computer systems
computer vision
education
image analysis
image processing
image segmentation
learning
machine learning
medical images
neural networks
pattern recognition
segmentation methods
software design
software engineering
software quality
validation
verification and validation
ISBN 3-031-08999-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Supervoxel Merging towards Brain Tumor Segmentation -- Challenging Current Semi-Supervised Anomaly Segmentation Methods for Brain MRI -- Modeling multi-annotator uncertainty as multi-class segmentation problem -- Modeling multi-annotator uncertainty as multi-class segmentation problem -- Adaptive unsupervised learning with enhanced feature representation for intra-tumor partitioning and survival prediction for glioblastoma -- Predicting isocitrate dehydrogenase mutation status in glioma using structural brain networks and graph neural networks -- Optimization of Deep Learning based Brain Extraction in MRI for Low Resource Environments. Reciprocal Adversarial Learning for Brain Tumor Segmentation: A Solution to BraTS Challenge 2021 Segmentation Task -- Unet3D with Multiple Atrous Convolutions Attention Block for Brain Tumor Segmentation -- BRATS2021: exploring each sequence in multi-modal input for baseline U-net performance -- Automatic Brain Tumor Segmentation using Multi-scale Features and Attention Mechanism -- Simple and Fast Convolutional Neural Network applied to median cross sections for predicting the presence of MGMT promoter methylation in FLAIR MRI scans -- MSViT: Multi Scale Vision Transformer forBiomedical Image Segmentation -- Unsupervised Multimodal -- HarDNet-BTS: A Harmonic Shortcut Network for Brain Tumor Segmentation -- Multimodal Brain Tumor Segmentation Algorithm -- Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images -- Multi-plane UNet++ Ensemble for Glioblastoma Segmentation -- Multimodal Brain Tumor Segmentation using Modified UNet Architecture -- A video data based transfer learning approach for classification of MGMT status in brain tumor MR images -- Multimodal Brain Tumor Segmentation Using a 3D ResUNet in BraTS 2021 -- 3D MRI brain tumour segmentation with autoencoder regularization and Hausdorff distance loss function -- 3D CMM-Net with Deeper Encoder for Semantic Segmentation of Brain Tumors in BraTS2021 Challenge -- Cascaded training pipeline for 3D brain tumor segmentation -- nnU-Net with Region-based Training and Loss Ensembles for Brain Tumor Segmentation -- Brain Tumor Segmentation Using Attention Activated U-Net with Positive Mining -- Automatic segmentation of brain tumor using 3D convolutional neural networks -- Hierarchical and Global Modality Interaction for Brain Tumor Segmentation -- Ensemble Outperforms Single Models in Brain Tumor Segmentation -- Brain Tumor Segmentation using UNet-Context Encoding Network -- Ensemble CNN Networks for GBM Tumors Segmentation using Multi-parametric MRI.
Record Nr. UNISA-996483157303316
Crimi Alessandro  
Cham, : Springer Nature, 2022
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries : 7th International Workshop, BrainLes 2021, Held in Conjunction with MICCAI 2021, Virtual Event, September 27, 2021, Revised Selected Papers, Part I / / edited by Alessandro Crimi, Spyridon Bakas
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries : 7th International Workshop, BrainLes 2021, Held in Conjunction with MICCAI 2021, Virtual Event, September 27, 2021, Revised Selected Papers, Part I / / edited by Alessandro Crimi, Spyridon Bakas
Autore Crimi Alessandro
Edizione [1st ed. 2022.]
Pubbl/distr/stampa Cham, : Springer Nature, 2022
Descrizione fisica 1 online resource (XXI, 489 p. 171 illus., 134 illus. in color.)
Disciplina 006.37
616.8
Collana Lecture Notes in Computer Science
Soggetto topico Computer vision
Artificial intelligence
Computer engineering
Computer networks
Application software
Computer Vision
Artificial Intelligence
Computer Engineering and Networks
Computer and Information Systems Applications
Soggetto non controllato artificial intelligence
bioinformatics
computer science
computer systems
computer vision
education
image analysis
image processing
image segmentation
learning
machine learning
medical images
neural networks
pattern recognition
segmentation methods
software design
software engineering
software quality
validation
verification and validation
ISBN 3-031-08999-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Supervoxel Merging towards Brain Tumor Segmentation -- Challenging Current Semi-Supervised Anomaly Segmentation Methods for Brain MRI -- Modeling multi-annotator uncertainty as multi-class segmentation problem -- Modeling multi-annotator uncertainty as multi-class segmentation problem -- Adaptive unsupervised learning with enhanced feature representation for intra-tumor partitioning and survival prediction for glioblastoma -- Predicting isocitrate dehydrogenase mutation status in glioma using structural brain networks and graph neural networks -- Optimization of Deep Learning based Brain Extraction in MRI for Low Resource Environments. Reciprocal Adversarial Learning for Brain Tumor Segmentation: A Solution to BraTS Challenge 2021 Segmentation Task -- Unet3D with Multiple Atrous Convolutions Attention Block for Brain Tumor Segmentation -- BRATS2021: exploring each sequence in multi-modal input for baseline U-net performance -- Automatic Brain Tumor Segmentation using Multi-scale Features and Attention Mechanism -- Simple and Fast Convolutional Neural Network applied to median cross sections for predicting the presence of MGMT promoter methylation in FLAIR MRI scans -- MSViT: Multi Scale Vision Transformer forBiomedical Image Segmentation -- Unsupervised Multimodal -- HarDNet-BTS: A Harmonic Shortcut Network for Brain Tumor Segmentation -- Multimodal Brain Tumor Segmentation Algorithm -- Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images -- Multi-plane UNet++ Ensemble for Glioblastoma Segmentation -- Multimodal Brain Tumor Segmentation using Modified UNet Architecture -- A video data based transfer learning approach for classification of MGMT status in brain tumor MR images -- Multimodal Brain Tumor Segmentation Using a 3D ResUNet in BraTS 2021 -- 3D MRI brain tumour segmentation with autoencoder regularization and Hausdorff distance loss function -- 3D CMM-Net with Deeper Encoder for Semantic Segmentation of Brain Tumors in BraTS2021 Challenge -- Cascaded training pipeline for 3D brain tumor segmentation -- nnU-Net with Region-based Training and Loss Ensembles for Brain Tumor Segmentation -- Brain Tumor Segmentation Using Attention Activated U-Net with Positive Mining -- Automatic segmentation of brain tumor using 3D convolutional neural networks -- Hierarchical and Global Modality Interaction for Brain Tumor Segmentation -- Ensemble Outperforms Single Models in Brain Tumor Segmentation -- Brain Tumor Segmentation using UNet-Context Encoding Network -- Ensemble CNN Networks for GBM Tumors Segmentation using Multi-parametric MRI.
Record Nr. UNINA-9910585786203321
Crimi Alessandro  
Cham, : Springer Nature, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Emerging Sensor Technology in Agriculture
Emerging Sensor Technology in Agriculture
Autore Fuentes Sigfredo
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 electronic resource (240 p.)
Soggetto topico Research & information: general
Geography
Soggetto non controllato apple orchards
modeling and simulation
unmanned aerial vehicles
fruit ripeness
ethylene gas detection
3D crop modeling
remote sensing
on-ground sensing
depth images
parameter acquisition
capacitor sensor
deposit mass
pesticide droplets
formulations
ionization
CFD
airflow field test
monitoring method
spectral sensor
crop growth
computer vision
deep learning
image processing
pose estimation
animal detection
precision livestock
Citrus sinensis L. Osbeck
mechanical harvesting
acceleration sensor
vibration time
logistic regression
adaptive thresholding
fruit detection
parameter tuning
phenotype
phenotyping
phenomics
Triticum aestivum
water deficit
stress
infrared
leaf area index
cocoa beans
volatile compounds
artificial neural networks
VitiCanopy app
bushfires
infrared thermography
near-infrared spectroscopy
smoke taint
artificial intelligence
Kinect sensor
RGB
RGB-D
image segmentation
colour thresholding
bunch area
bunch volume
point cloud
mesh
surface reconstruction
image analysis
cluster morphology
machine learning
non-invasive sensing technologies
proximal sensing
precision viticulture
partial least square
support vector machine
Gaussian processes
soybean
pigeon pea
guar
tepary bean
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557295003321
Fuentes Sigfredo  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Entropy in Image Analysis
Entropy in Image Analysis
Autore Sparavigna Amelia Carolina
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2019
Descrizione fisica 1 electronic resource (456 p.)
Soggetto non controllato keyframes
time-delay
whale optimization algorithm
multilevel thresholding
multi-exposure image fusion
additive manufacturing
patch structure decomposition
ultra-sound images
3D scanning
Arimoto entropy
contrast enhancement
spatial filling factor
depth maps
image processing
3D prints
differential evolution
field of experts
normalized divergence measure
image privacy
multiscale top-hat transform
q-exponential
texture information entropy
diffusion
hybrid algorithm
Weibull statistics
adaptive selection
nonextensive entropy
computer aided diagnostics
fatty liver
random forest
DNA encoding
low contrast
entropy
Minkowski island
fuzzy entropy
free-form deformations
person re-identification
chaotic system
DNA computing
pavement
information entropy
discrete entropy
Tsallis statistics
video skimming
prime-indexed primes
natural scene statistics (NSS)
Hénon map
q-sigmoid
image entropy
Shannon entropy
macrotexture
Shannon’s entropy
binary image
multi-feature fusion
image analysis
uncertainty assessment
non-rigid registration
hash layer
Cantor set
dynamic filtering
deep neural network
security analysis
multiple-image encryption
Hamming distance
blind image quality assessment (BIQA)
q-Gaussian
remote sensing
decay trend
chaotic cryptography
chaotic strategy
cross-entropy loss
random insertion
metabolic syndrome
sign languages
generalized entropies
relevance feedback
image retrieval
two-dimensional chaotic economic map
cryptanalysis
infrared images
3D Latin cube
SHA-256 hash value
gradient distributions
structural entropy
discrete cosine transform (DCT)
chaotic map
hepatic steatosis
machine vision
electromagnetic field optimization
security
image segmentation
quantization loss
colonoscopy
video summarization
permutation
Kapur’s entropy
surface quality assessment
permutation-diffusion
Ramanujan primes
Rényi entropies
chosen-plaintext attack
image encryption
dynamic index
color image segmentation
ultrasound
Otsu method
sigmoid
reconstruction
image information entropy
3-D digital imaging
positron emission tomography
medical imaging
ISBN 3-03921-093-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910346845003321
Sparavigna Amelia Carolina  
MDPI - Multidisciplinary Digital Publishing Institute, 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Entropy in Image Analysis II
Entropy in Image Analysis II
Autore Sparavigna Amelia Carolina
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 electronic resource (394 p.)
Soggetto topico History of engineering & technology
Soggetto non controllato image binarization
optical character recognition
local entropy filter
thresholding
image preprocessing
image entropy
image encryption
medical color images
RGB
chaotic system
crowd behavior analysis
salient crowd motion detection
repulsive force
direction entropy
node strength
Pompe disease
children
quantitative muscle ultrasound
texture-feature parametric imaging
compound chaotic system
S-box
image information entropy
image chaotic encryption
cryptography
Latin cube
bit cube
chosen plaintext attack
atmosphere background
engine flame
infrared radiation
detectability
image quality evaluation
image retrieval
pooling method
convolutional neural network
feature distribution entropy
lossless compression
pattern classification
machine learning
malaria infection
entropy
Golomb–Rice codes
image processing
image segmentation
weld segmentation
weld evaluation
convolution neural network
Python
Keras
RSNNS
MXNet
brain-computer interface (BCI)
electroencephalography (EEG)
motor imagery (MI)
continuous wavelet transform (CWT)
convolutional neural network (CNN)
hyperchaotic system
filtering
DNA computing
diffusion
deep neural network
data expansion
blind image quality assessment
saliency and distortion
human visual system
declining quality
data hiding
AMBTC
steganography
stego image
dictionary-based coding
pixel value adjusting
neuroaesthetics
symmetry
balance
complexity
chiaroscuro
normalized entropy
renaissance
portrait paintings
art history
art statistics
chaotic systems
DNA coding
security analysis
magnetic resonance images
non-maximum suppression
object detection
key-point detection
IoU
feature fusion
quasi-resonant Rossby/drift wave triads
Mordell elliptic curve
pseudo-random numbers
substitution box
nuclear spin generator
medical image
peak signal-to-noise ratio
key space calculation
Duchenne muscular dystrophy
ultrasound
backscattered signals
medical imaging
neural engineering
computer vision
crowd motion detection
security
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557433403321
Sparavigna Amelia Carolina  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Entropy in Image Analysis III
Entropy in Image Analysis III
Autore Sparavigna Amelia Carolina
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 electronic resource (230 p.)
Soggetto topico Technology: general issues
History of engineering & technology
Soggetto non controllato Newton-Raphson's method
chaos
image encryption/decryption
security analysis
image encryption
cryptanalysis
hyper-chaotic
ribonucleic acid
color image encryption
transformed Zigzag
image segmentation
computer-assisted diagnosis
machine learning
spleen injury detection
hyperchaotic
permutation
diffusion
multiple bit operation
circular-step wedge
contrast-detail
mutual information
visible ratio
anode heel effect
prior information
entropy
fwi
regularization
inverse problems
bat optimization
human crowd behavior (HCB)
improved entropy (IE)
Jaccard similarity
multi-person counting
particles gradient motion (PGM)
speeded up robust features (SURF)
Retinex
image enhancement
gamma correction
low-light image
HSV color space
scan route
Hilbert curve
run-length-based entropy coding
image and video compression
secure communication
cellular neural network
power-divergence measure
computed tomography
iterative reconstruction
maximum-likelihood expectation-maximization method
continuous-time image reconstruction
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910566462103321
Sparavigna Amelia Carolina  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui