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1IMPLEMENTATION OF PERTURB AND OBSERVE MPPT OF PV SYSTEM WITH DIRECT CONTROL METHOD USING BUCK AND BUCKBOOST CONVERTERS
A. Atallah, A. Abdelaziz, and R. Jumaah. Emerging Trends in Electrical, Electronics & Instrumentation EngEmerging Trends in Electrical, Electronics & Instrumentation Engineering: An international Journal (EEIEJ)ineering: An international Journal (EEIEJ), (February 2014)
2 years ago by @kaety
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Point
ConvertersPhotovoltaic
and
ObserveDC-DC
TrackingPerturb
Maximum
.
Power
System
PointConvertersPhotovoltaicandObserveDC-DCTrackingPerturbMaximum.PowerSystem
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2Evaluation of Power Frequency Magnetic field Generated by Power Distribution Equipment on Sidewalk
M. SHIMADA, T. LUYEN, and Y. MIZUNO. (2013)
5 years ago by @ceps
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average
Cable
62110
maximum
IEC
transformer
vertical
equipment
distribution
Field
Magnetic
exposure
and
switchgear
pad-mounted
Power
levels
averageCable62110maximumIECtransformerverticalequipmentdistributionFieldMagneticexposureandswitchgearpad-mountedPowerlevels
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2Evaluation of Power Frequency Magnetic field Generated by Power Distribution Equipment on Sidewalk
M. SHIMADA, T. LUYEN, and Y. MIZUNO. (2013)
5 years ago by @chkokalis
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average
62110
maximum
IEC
transformer
vertical
equipment
distribution
exposure
field
and
switchgear
pad-mounted
power
cable
magnetic
levels
average62110maximumIECtransformerverticalequipmentdistributionexposurefieldandswitchgearpad-mountedpowercablemagneticlevels
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1Point pattern modelling for degraded presence-only data over large regions: Point Pattern Modelling for Presence-only Data
A. Chakraborty, A. Gelfand, A. Wilson, A. Latimer, and J. Silander. Journal of the Royal Statistical Society: Series C (Applied Statistics), 60 (5): 757--776 (November 2011)
9 years ago by @yourwelcome
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processes
refutation,
processes,
Bayesian
maximum
model,
entropy,
SAMSI,
inference,
point
Spatial
Duke,
presence-only,
hierarchical
processesrefutation,processes,Bayesianmaximummodel,entropy,SAMSI,inference,pointSpatialDuke,presence-only,hierarchical
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1A physiological trait-based approach to predicting the responses of species to experimental climate warming
S. Diamond, L. Nichols, N. McCoy, C. Hirsch, S. Pelini, N. Sanders, A. Ellison, N. Gotelli, and R. Dunn. Ecology, 93 (11): 2305--2312 (July 2012)
9 years ago by @yourwelcome
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based
Temperature,
models
tolerance,
modelling,
climate
entropy,
\_tablet\_modified,
global
distribution
Maximum
change,
species
trait
trait,
physiology,
basedTemperature,modelstolerance,modelling,climateentropy,\_tablet\_modified,globaldistributionMaximumchange,speciestraittrait,physiology,
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1The role of weighted and topological network information to understand animal social networks: a null model approach
R. Rankin, J. Mann, L. Singh, E. Patterson, E. Krzyszczyk, and L. Bejder. Animal Behaviour, (March 2016)
9 years ago by @yourwelcome
show all tags
structure,
dolphin,
topology,
bias,
social
bottlenose
entropy,
network
Maximum
community
structure,dolphin,topology,bias,socialbottlenoseentropy,networkMaximumcommunity
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1Characterizing species abundance distributions across taxa and ecosystems using a simple maximum entropy model
E. White, K. Thibault, and X. Xiao. Ecology, 93 (8): 1772--1778 (April 2012)
9 years ago by @yourwelcome
show all tags
ecoinformatics,
richness
birds,
modelling,
maximum
ecology,
entropy,
\_tablet\_modified,
richness,
distribution
plants,
source,
invertebrates,
community
citizen
data,
species,
species
rare
science,
online
mammals,
open
abundance,
ecoinformatics,richnessbirds,modelling,maximumecology,entropy,\_tablet\_modified,richness,distributionplants,source,invertebrates,communitycitizendata,species,speciesrarescience,onlinemammals,openabundance,
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1Quasi-likelihood functions, generalized linear models, and the Gauss—Newton method
R. Wedderburn. Biometrika, 61 (3): 439--447 (December 1974)
9 years ago by @yourwelcome
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models,
Quasi-likelihood
linear
Generalized
families,
maximum
Exponential
likelihood,
method,
Gauss-Newton
models,Quasi-likelihoodlinearGeneralizedfamilies,maximumExponentiallikelihood,method,Gauss-Newton
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1Decision Tree Classification of Remotely Sensed Satellite Data using Spectral Separability Matrix
S. M K Ghose Ratika Pradhan. International Journal of Advanced Computer Science and Applications(IJACSA), (2010)
12 years ago by @thesaiorg
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Separability
Criteria.,Decision
Matrix,
Likelihood
Tree
Classifier
(MLC),
Maximum
Stopping
(DTC)
SeparabilityCriteria.,DecisionMatrix,LikelihoodTreeClassifier(MLC),MaximumStopping(DTC)
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2Object based segmentation of video using color, motion and spatial information
S. Khan, and M. Shah. Computer Vision and Pattern Recognition, 2001. CVPR 2001. Proceedings of the 2001 IEEE Computer Society Conf. on, 2, page II--746 -- II--751 vol.2. (2001)
12 years ago by @guillem.palou
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a
confidence
color
information;
maximum
measure;
p
aconfidencecolorinformation;maximummeasure;p
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1The spatial and temporal complexity of the Holocene thermal maximum
H. Renssen, H. Seppa, O. Heiri, D. Roche, H. Goosse, and T. Fichefet. Nature Geosci, 2 (6): 411--414 (June 2009)
14 years ago by @mblaschek
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maximum
Holocene
Thermal
maximumHoloceneThermal
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1Changes in physical, mechanical and chemical properties of wood during sterilisation by gamma radiation
R. Despot, M. Hasan, C. Brischke, C. Welzbacher, and A. Rapp. Holzforschung, 61 (3): 267-271 (2007)
16 years ago by @giovanna
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water-soluble
carbohydrates
impact
(TSC);
maximum
high-energy
sterilisation
wood;
resistance
swelling;
total
exposure
multiple
(RIM);
test;
to
irradiated
wood
milling
(HEMI)
water-solublecarbohydratesimpact(TSC);maximumhigh-energysterilisationwood;resistanceswelling;totalexposuremultiple(RIM);test;toirradiatedwoodmilling(HEMI)
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1Phase I dose escalation study of telatinib (BAY 57-9352) in patients with advanced solid tumours
D. Strumberg, B. Schultheis, I. Adamietz, O. Christensen, M. Buechert, J. Kraetzschmar, P. Rajagopalan, M. Ludwig, A. Frost, S. Steinbild and 2 other author(s). Br.J.Cancer, 99 (10): 1579-1585 (2008)
16 years ago by @kanefendt
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Pyridines
Tyrosine
Hypertension
&
Antineoplastic
over
therapy
Tolerated
Agents
Maximum
blood
Middle
Pyridazines
drug
Inhibitors
Oncology
response
80
Resonance
Aged
Medical
RANGE
dosage
Plasma
Carcinoma
Growth
Humans
administration
Male
Neoplasms
Magnetic
and
Imaging
Adult
Dose
Angiogenesis
Female
PyridinesTyrosineHypertension&AntineoplasticovertherapyToleratedAgentsMaximumbloodMiddlePyridazinesdrugInhibitorsOncologyresponse80ResonanceAgedMedicalRANGEdosagePlasmaCarcinomaGrowthHumansadministrationMaleNeoplasmsMagneticandImagingAdultDoseAngiogenesisFemale
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1Phase I dose escalation study of telatinib, a tyrosine kinase inhibitor of vascular endothelial growth factor receptor 2 and 3, platelet-derived growth factor receptor beta, and c-Kit, in patients with advanced or metastatic solid tumors
F. Eskens, N. Steeghs, J. Verweij, J. Bloem, O. Christensen, D. van, J. Ouwerkerk, M. Jonge, J. Nortier, J. Kraetzschmar and 2 other author(s). J.Clin.Oncol., 27 (25): 4169-4176 (2009)
16 years ago by @kanefendt
show all tags
Human
Administration
c-kit
Receptor-3
Receptor-2
therapy
Maximum
Young
blood
Media
Middle
drug
Neoplasm
effects
Proto-Oncogene
Inhibitors
Kinase
Outcome
Schedule
Resonance
Aged
Platelet-Derived
adverse
dosage
Factors
toxicity
beta
Plasma
Growth
Humans
administration
methods
use
Oral
Neoplasms
Research
Time
Dose-Response
Magnetic
protein
Tumor
Safety
Angiogenesis
Female
Pyridines
Tyrosine
Hypertension
&
Markers
Fatigue
Biological
Vascular
Tolerated
Contrast
Protein
enzymology
Pyridazines
Receptor
Adolescent
Oncology
response
Relationship
Medical
Treatment
Pharmacokinetics
inhibitors
A
antagonists
pathology
Male
Metastasis
supply
Proteins
Factor
Imaging
Endothelial
diagnostic
Adult
Dose
Drug
HumanAdministrationc-kitReceptor-3Receptor-2therapyMaximumYoungbloodMediaMiddledrugNeoplasmeffectsProto-OncogeneInhibitorsKinaseOutcomeScheduleResonanceAgedPlatelet-DerivedadversedosageFactorstoxicitybetaPlasmaGrowthHumansadministrationmethodsuseOralNeoplasmsResearchTimeDose-ResponseMagneticproteinTumorSafetyAngiogenesisFemalePyridinesTyrosineHypertension&MarkersFatigueBiologicalVascularToleratedContrastProteinenzymologyPyridazinesReceptorAdolescentOncologyresponseRelationshipMedicalTreatmentPharmacokineticsinhibitorsAantagonistspathologyMaleMetastasissupplyProteinsFactorImagingEndothelialdiagnosticAdultDoseDrug
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1Neural-network-based segmentation of multi-modal medical images: a comparative and prospective study
M. Ozkan, B. Dawant, and R. Maciunas. Medical Imaging, IEEE Transactions on, 12 (3): 534--544 (1993)
16 years ago by @mozaher
show all tags
image
segmentation,
parameters,
processing,
scheme,
likelihood
biomedical
images
multimodal
resonance
intensity
artificial
generalization
networks,
classification,
computerised
NMR,
properties,
topological
parameters
classifier,
interslice
medical
neural
images,
maximum
nets,
classical
learning
adaptive
computer
imaging,
variations,
tomography,
brain,
X-ray
diagnostic
human
magnetic
imagesegmentation,parameters,processing,scheme,likelihoodbiomedicalimagesmultimodalresonanceintensityartificialgeneralizationnetworks,classification,computerisedNMR,properties,topologicalparametersclassifier,interslicemedicalneuralimages,maximumnets,classicallearningadaptivecomputerimaging,variations,tomography,brain,X-raydiagnostichumanmagnetic
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2Discriminative random fields: a discriminative framework for contextual interaction in classification
S. Kumar, and M. Hebert. Computer Vision, 2003. Proceedings. Ninth IEEE International Conference on, page 1150--1157 vol.2. (2003)
16 years ago by @mozaher
show all tags
image
models,
segmentation,
parameters,
linear
kernel
probabilistic
posterior
Bayes
model,
structure
posterior,
field,
interaction,
fields,
neighborhood
contextual
processes,
interactions,
images,
conditional
hidden
discriminative
local
vision,
rule,
hierarchical
man-made
framework,
generative
based
classifiers,
Markov
natural
texture
Corel
database,
likelihood
labeling,
Ising
solution,
classification,
maximum
constraints,
sequences
random
computer
regions,
detection,
marginal
text
model
generalized
imagemodels,segmentation,parameters,linearkernelprobabilisticposteriorBayesmodel,structureposterior,field,interaction,fields,neighborhoodcontextualprocesses,interactions,images,conditionalhiddendiscriminativelocalvision,rule,hierarchicalman-madeframework,generativebasedclassifiers,MarkovnaturaltextureCoreldatabase,likelihoodlabeling,Isingsolution,classification,maximumconstraints,sequencesrandomcomputerregions,detection,marginaltextmodelgeneralized
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1Fundamentals of Statistical Signal Processing: Estimation Theory
S. Kay. Prentice Hall, (1997)
17 years ago by @cwillems
show all tags
cinearchiv
Likelihood
Maximum
cinearchivLikelihoodMaximum
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2Improving Multi-class Text Classification with Naive Bayes
J. Rennie. Massachusetts Institute of Technology, (2001)
18 years ago by @jil
show all tags
herleitung
mle
maximum
multinomial
likelihood
thesis
komplett
estimation
deduction
bayes
prior
map
exhaustive
naive
herleitungmlemaximummultinomiallikelihoodthesiskomplettestimationdeductionbayespriormapexhaustivenaive
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1Properties of the maximum likelihood and pisarenko spectral estimates
M. Aktar, B. Sankur, and Y. Istefanopulos. Signal Processing, 8 (4): 401--413 (July 1985)
18 years ago by @smicha
show all tags
spectrum
likelihood
Maximum
spectrumlikelihoodMaximum
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1Maximum stability and a generalization
M. Sreehari. Statistics & Probability Letters, 23 (4): 339--342 (June 1995)
18 years ago by @smicha
show all tags
Maximum
stability
Maximumstability
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publications (hide)35 displayallpublications onlypublications per page5102050100 sort byadded attitleauthorpublication dateentry typehelp for advanced sorting... RSSBibTeXRDFmore...

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publications (hide)35
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