This is a table of type proper and their frequencies. Use it to search & browse the list to learn more about your study carrel.
proper | frequency |
---|---|
COVID-19 | 817 |
Fig | 297 |
China | 277 |
SIR | 236 |
S | 234 |
SARS | 199 |
India | 149 |
Wuhan | 137 |
CoV-2 | 136 |
Table | 128 |
Coronavirus | 119 |
Italy | 112 |
March | 112 |
Caputo | 109 |
Eq | 104 |
R | 101 |
April | 101 |
D | 93 |
− | 89 |
HIV | 88 |
USA | 84 |
covid-19 | 83 |
Health | 81 |
T | 80 |
E | 74 |
β | 72 |
SEIR | 70 |
Analysis | 70 |
ARIMA | 68 |
Chaos | 67 |
January | 67 |
M | 65 |
LSTM | 64 |
COVID | 64 |
Figure | 63 |
Solitons | 61 |
May | 59 |
N | 58 |
n−1 | 56 |
sha | 56 |
DOI | 55 |
Lyapunov | 54 |
A | 53 |
Theorem | 52 |
I(t | 52 |
Covid-19 | 52 |
Q | 51 |
June | 49 |
ApEn | 49 |
Model | 49 |
china | 47 |
Disease | 47 |
LLE | 46 |
Canada | 46 |
World | 45 |
S(t | 44 |
Learning | 44 |
South | 44 |
• | 43 |
−1 | 42 |
n−2 | 42 |
AI | 42 |
Mathematical | 41 |
I | 41 |
February | 41 |
Brazil | 41 |
C | 40 |
AIDS | 39 |
∞ | 38 |
ρ | 38 |
ν | 38 |
Korea | 38 |
Organization | 37 |
Morocco | 37 |
France | 37 |
λ | 35 |
Brownian | 35 |
σ | 35 |
Hubei | 34 |
December | 34 |
R(t | 34 |
UK | 33 |
Fractional | 33 |
July | 32 |
DFE | 32 |
Pakistan | 32 |
Novel | 31 |
Infectious | 31 |
F | 31 |
Deep | 31 |
Baleanu | 31 |
J | 30 |
CT | 30 |
Ebola | 30 |
Atangana | 30 |
Jakarta | 30 |
α | 30 |
Riesz | 30 |
Science | 29 |
RT | 29 |
Appendix | 29 |
≤ | 28 |
Legendre | 28 |
PCR | 27 |
D(t | 27 |
ML | 27 |
Risk | 27 |
SIRS | 27 |
γ | 26 |
series | 26 |
Optimal | 26 |
New | 26 |
K | 26 |
Θ | 25 |
CFR | 24 |
Germany | 24 |
Data | 24 |
Poisson | 24 |
Modeling | 24 |
SIDARTHE | 24 |
ξ | 23 |
Markov | 23 |
Liouville | 23 |
Leffler | 23 |
Heilongjiang | 23 |
Fractals | 23 |
Equations | 23 |
Control | 23 |
Ministry | 23 |
Laplace | 22 |
IC | 22 |
ε | 22 |
United | 22 |
V | 22 |
Adams | 21 |
Differential | 21 |
B | 21 |
Bashforth | 21 |
CoV | 21 |
RNA | 21 |
Diseases | 21 |
L | 21 |
Lemma | 21 |
MERS | 21 |
Transmission | 21 |
WBF | 20 |
São | 20 |
Paulo | 20 |
Pandemic | 20 |
Mittag | 20 |
Chest | 19 |
LDA | 19 |
Cameroon | 19 |
Fabrizio | 19 |
States | 19 |
X | 19 |
lim | 19 |
wuhan | 19 |
≈ | 19 |
max | 18 |
Riemann | 18 |
Proof | 18 |
Moulton | 18 |
Jacobian | 18 |
Dynamics | 18 |
Australia | 18 |
Prediction | 17 |
Cov-2 | 17 |
MAE | 17 |
Machine | 17 |
Li | 17 |
Q(t | 17 |
Sars | 17 |
Zhang | 17 |
University | 17 |
RMSE | 17 |
Neural | 16 |
Definition | 16 |
FDE | 16 |
H | 16 |
M. | 16 |
SI | 16 |
Study | 16 |
Time | 16 |
di¤erential | 16 |
∆t | 16 |
PRCC | 15 |
Application | 15 |
Artificial | 15 |
Calculus | 15 |
Estimation | 15 |
Lancet | 15 |
Modelling | 15 |
W | 15 |
Respiratory | 15 |
i | 15 |
∈ | 15 |
Stochastic | 15 |
india | 15 |
US | 15 |
Nowcasting | 14 |
sars | 14 |
8) | 14 |
Bi | 14 |
Epidemic | 14 |
Erdös | 14 |
H1N1 | 14 |
MATLAB | 14 |
SIS | 14 |
Province | 14 |
Rényi | 14 |
Stability | 14 |
Syndrome | 14 |
Systems | 14 |
Wick | 14 |
Y | 14 |
East | 13 |
Detection | 13 |
Belgium | 13 |
Approach | 13 |
Beijing | 13 |
Africa | 13 |
GRU | 13 |
Eqs | 13 |
Beltrami | 13 |
Japan | 13 |
R0 | 13 |
Virus | 13 |
Theory | 13 |
Social | 13 |
Natural | 13 |
‡uenza | 13 |
Network | 13 |
Population | 13 |
Middle | 12 |
Corona | 12 |
E(t | 12 |
Engineering | 12 |
Forecasting | 12 |
High | 12 |
Hopkins | 12 |
Indonesia | 12 |
MTBI | 12 |
Kermack | 12 |
☐ | 12 |
Wang | 12 |
S(0 | 12 |
θ | 12 |
a.s | 12 |
Models | 12 |
WHO | 12 |
Spain | 12 |
Santos | 12 |
SVR | 12 |
= | 11 |
ANN | 11 |
CFD | 11 |
Lipschitz | 11 |
Networks | 11 |
Polya | 11 |
R(0 | 11 |
Sardar | 11 |
Research | 11 |
Scopus | 11 |
Strategy | 11 |
Texas | 11 |
Tridip | 11 |
Zika | 11 |
time | 11 |
δ | 11 |
∂ | 11 |
Shanghai | 11 |
Intelligence | 10 |
Pneumonia | 10 |
Numerical | 10 |
National | 10 |
McKendrick | 10 |
Chile | 10 |
Global | 10 |
G | 10 |
Communiqué | 10 |
Public | 10 |
Applications | 10 |
ABC | 10 |
Poincaré | 10 |
Reproduction | 10 |
RNN | 10 |
µ | 10 |
| 10 |
−8 | 10 |
βˆ | 10 |
SARII | 10 |
× | 10 |
www.covidmaroc | 10 |
medRxiv | 10 |
West | 10 |
Spread | 10 |
SEI | 10 |
Campinas | 9 |
Group | 9 |
Figs | 9 |
Dg | 9 |
Chinese | 9 |
II | 9 |
C. | 9 |
Algorithm | 9 |
< | 9 |
* | 9 |
Hamiltonian | 9 |
ef | 9 |
Kumar | 9 |
ψ | 9 |
P | 9 |
κ | 9 |
italy | 9 |
eq | 9 |
y(t | 9 |
9 | |
State | 9 |
Shahid | 9 |
Pontryagin | 9 |
International | 8 |
Nadim | 8 |
Methodology | 8 |
Method | 8 |
Material | 8 |
Maharashtra | 8 |
Itô | 8 |
CI | 8 |
Impact | 8 |
Govt | 8 |
Foundation | 8 |
Chimmula | 8 |
Center | 8 |
Pubmed | 8 |
Bernoulli | 8 |
Nonlinear | 8 |
Low | 8 |
Recovery | 8 |
U.S. | 8 |
Ross | 8 |
microblogs | 8 |
intra | 8 |
dt | 8 |
dT | 8 |
Zone | 8 |
Wenzhou | 8 |
disease | 8 |
U | 8 |
Supplementary | 8 |
Sk | 8 |
Series | 8 |
Russia | 8 |
Sweden | 8 |
Routh | 8 |
Infected | 7 |
Hospital | 7 |
Hurwitz | 7 |
ICER | 7 |
Immunity | 7 |
LaSalle | 7 |
Investigation | 7 |
Johns | 7 |
Lin | 7 |
Government | 7 |
Logistic | 7 |
Herd | 7 |
Carlo | 7 |
Euler | 7 |
Delhi | 7 |
Correlation | 7 |
Convolutional | 7 |
Classification | 7 |
City | 7 |
Chen | 7 |
Bitcoin | 7 |
Arabia | 7 |
ACF | 7 |
Mexico | 7 |
Lombardia | 7 |
Birth | 7 |
Monte | 7 |
York | 7 |
Northern | 7 |
λt | 7 |
φ | 7 |
η | 7 |
Λ | 7 |
| | 7 |
volterra | 7 |
t. | 7 |
min | 7 |
ebola | 7 |
bang | 7 |
π | 7 |
Volterra | 7 |
Number | 7 |
VOSviewer | 7 |
TS | 7 |
Simulation | 7 |
Saudi | 7 |
R. | 7 |
Q(0 | 7 |
Pure | 7 |
Partial | 7 |
Outbreak | 7 |
Validation | 7 |
Dataset | 6 |
De | 6 |
Europe | 6 |
European | 6 |
LHS | 6 |
Gujarat | 6 |
HCV | 6 |
HIV-1 | 6 |
I(0 | 6 |
D. | 6 |
DF | 6 |
B. | 6 |
Corresponding | 6 |
CXR | 6 |
CD4 | 6 |
Based | 6 |
August | 6 |
Argentina | 6 |
AB(Θ)Γ(Θ | 6 |
A(t | 6 |
2e | 6 |
/β | 6 |
Methods | 6 |
Media | 6 |
Ghosh | 6 |
Nadu | 6 |
corr | 6 |
Optimization | 6 |
−7 | 6 |
∆ | 6 |
Ω | 6 |
Γ | 6 |
t→∞ | 6 |
south | 6 |
satis | 6 |
pcr | 6 |
hepatitis | 6 |
cov-2 | 6 |
∀t | 6 |
Yule | 6 |
SIPHERD | 6 |
Year | 6 |
Report | 6 |
River | 6 |
Prophet | 6 |
SIRD | 6 |
Sec | 6 |
System | 6 |
Tamil | 6 |
Principle | 6 |
Gaussian | 5 |
III | 5 |
GenBank | 5 |
Generalized | 5 |
Grant | 5 |
Gronwall | 5 |
H(E | 5 |
H(t | 5 |
Human | 5 |
Jacobo | 5 |
Interventions | 5 |
Introduction | 5 |
Iran | 5 |
J. | 5 |
John | 5 |
Joydev | 5 |
Khan | 5 |
Kingdom | 5 |
Epidemiology | 5 |
Evaluation | 5 |
BRN | 5 |
England | 5 |
Dynamical | 5 |
0.000e | 5 |
Kuwait | 5 |
A. | 5 |
Age | 5 |
Aguirre | 5 |
America | 5 |
Asia | 5 |
Author | 5 |
Big | 5 |
COVID-2019 | 5 |
Case-1 | 5 |
Chattopadhyay | 5 |
Chongqing | 5 |
Daniel | 5 |
Derivative | 5 |
Development | 5 |
Diagnosis | 5 |
Kutta | 5 |
☒ | 5 |
La | 5 |
exp | 5 |
Sun | 5 |
5 | |
VKR | 5 |
africa | 5 |
arc | 5 |
bibliometric | 5 |
caputo | 5 |
cos | 5 |
france | 5 |
Sourav | 5 |
health | 5 |
inf | 5 |
j=2 | 5 |
rt | 5 |
ω | 5 |
≥ | 5 |
| 5 |
Letnikov | 5 |
Statement | 5 |
origin | 5 |
Sciences | 5 |
Order | 5 |
Liga | 5 |
SST | 5 |
Lundberg | 5 |
Matlab | 5 |
Medical | 5 |
Minister | 5 |
Motion | 5 |
Multiple | 5 |
MASE | 5 |
Prevention | 5 |
SAR | 5 |
Process | 5 |
Python | 5 |
Rana | 5 |
SIRVD | 5 |
Review | 5 |
Probability | 5 |
IgG | 4 |
Iceland | 4 |
ICU | 4 |
ICMJE | 4 |
I. | 4 |
Hypercube | 4 |
Grunwald | 4 |
Humans | 4 |
Hong | 4 |
Gibbs | 4 |
Gamma | 4 |
Fractal | 4 |
Influenza | 4 |
Fourier | 4 |
Images | 4 |
Lagrange | 4 |
Institute | 4 |
Ito | 4 |
Javier | 4 |
Jin | 4 |
Journal | 4 |
Jun | 4 |
K. | 4 |
Kong | 4 |
Latin | 4 |
Lockdown | 4 |
Lu | 4 |
MLP | 4 |
Maps | 4 |
Matrix | 4 |
F=7 | 4 |
FDR | 4 |
CRISPR | 4 |
F=1 | 4 |
Cases | 4 |
Medicine | 4 |
): | 4 |
Adaptive | 4 |
Aerosol | 4 |
Air | 4 |
Assessment | 4 |
Association | 4 |
Bhattacharyya | 4 |
Biology | 4 |
Box | 4 |
Buldú | 4 |
COVID19 | 4 |
Cas | 4 |
Case | 4 |
Cauchy | 4 |
Exponent | 4 |
Chain | 4 |
Committee | 4 |
Computational | 4 |
Conceptualization | 4 |
Council | 4 |
Covid | 4 |
DNA | 4 |
Delta | 4 |
Dynamic | 4 |
E(0 | 4 |
Easter | 4 |
Egypt | 4 |
El | 4 |
Equation | 4 |
Mean | 4 |
Runge | 4 |
Mohammad | 4 |
mid | 4 |
Z | 4 |
Zealand | 4 |
arima | 4 |
brazil | 4 |
ct | 4 |
dD | 4 |
da | 4 |
daily | 4 |
data | 4 |
february | 4 |
ij | 4 |
inter | 4 |
interior | 4 |
mers | 4 |
nd | 4 |
Visualization | 4 |
nonstationary | 4 |
python | 4 |
strategy-5 | 4 |
sup | 4 |
tg | 4 |
times | 4 |
un | 4 |
ī | 4 |
˜ | 4 |
α(1 | 4 |
μ+ | 4 |
ϑ | 4 |
∞. | 4 |
Muhammad | 4 |
Wavelets | 4 |
˙ | 4 |
Vaccination | 4 |
Regression | 4 |
Uniform | 4 |
Mumbai | 4 |
N. | 4 |
NCBI | 4 |
Noise | 4 |
Origin | 4 |
P(I | 4 |
P. | 4 |
PDE | 4 |
Phase | 4 |
Princess | 4 |
Project | 4 |
Pseudo | 4 |
Quantitative | 4 |
Newton | 4 |
| 4 |
Supervision | 4 |
SBDiEM | 4 |
Treatment | 4 |
Transfer | 4 |
Technology | 4 |
TRR | 4 |
Tomography | 4 |
Strategies | 4 |
Santiago | 4 |
SIRV | 4 |
Sampling | 4 |
September | 4 |
Software | 4 |
Turkey | 4 |
IV | 3 |
Haar | 3 |
ICER(4 | 3 |
I(end | 3 |
IgM | 3 |
Hybrid | 3 |
Hurst | 3 |
Huanan | 3 |
Hence | 3 |
Hebei | 3 |
Heat | 3 |
Haggle | 3 |
Genocchi | 3 |
HRSV | 3 |
H7N9 | 3 |
H(0 | 3 |
Guangdong | 3 |
3 | |
Ghana | 3 |
General | 3 |
GIS | 3 |
G. | 3 |
Functions | 3 |
Information | 3 |
Frost | 3 |
Incubation | 3 |
Mandal | 3 |
Ireland | 3 |
Malaria | 3 |
Fever | 3 |
Netherlands | 3 |
Nappa | 3 |
NAbs | 3 |
Mumps | 3 |
Mohamed | 3 |
MobileNet | 3 |
Minimum | 3 |
Medina | 3 |
Measles | 3 |
Mathematics | 3 |
Mainland | 3 |
Israel | 3 |
MIT | 3 |
Long | 3 |
Lombardy | 3 |
Liu | 3 |
Lagrangian | 3 |
LEs | 3 |
LD | 3 |
L. | 3 |
Kassa | 3 |
Kamgang | 3 |
Juan | 3 |
Fisher | 3 |
CF | 3 |
Feng | 3 |
B(t | 3 |
Cabo | 3 |
CR(t | 3 |
Nile | 3 |
Building | 3 |
Bio | 3 |
Bin | 3 |
Bibliometric | 3 |
Bengal | 3 |
Bayesian | 3 |
Bashir | 3 |
Bahrain | 3 |
Automatic | 3 |
Cancer | 3 |
Austria | 3 |
Aug-2020 | 3 |
Apr | 3 |
Approximate | 3 |
Anhui | 3 |
Ali | 3 |
Ahmad | 3 |
ARDS | 3 |
AB | 3 |
@x | 3 |
+1 | 3 |
California | 3 |
Central | 3 |
Feasibility | 3 |
Diamond | 3 |
Essai | 3 |
Eq.(2 | 3 |
Emerging | 3 |
Elsevier | 3 |
Effectiveness | 3 |
Education | 3 |
Editor | 3 |
Early | 3 |
E. | 3 |
Draft | 3 |
Di¤erential | 3 |
Dengue | 3 |
Centre | 3 |
Deaths | 3 |
D(end | 3 |
Coronaviridae | 3 |
Contributions | 3 |
Contreras | 3 |
Computer | 3 |
Complete | 3 |
Commission | 3 |
CoV-1 | 3 |
Chebyshev | 3 |
Chakraborty | 3 |
Next | 3 |
A(0 | 3 |
October | 3 |
Wiley | 3 |
nos | 3 |
nigeria | 3 |
ne | 3 |
n(t | 3 |
mexico | 3 |
meta | 3 |
ick | 3 |
ib | 3 |
hiv | 3 |
fBm | 3 |
ext | 3 |
egypt | 3 |
doc_id | 3 |
di¤ | 3 |
diamond | 3 |
den | 3 |
covid-2019 | 3 |
baleanu | 3 |
atangana | 3 |
arti | 3 |
appendix | 3 |
ai | 3 |
Zhu | 3 |
Zhou | 3 |
X(t | 3 |
novel | 3 |
pakistan | 3 |
pandemic | 3 |
∀ | 3 |
Olivera | 3 |
| 3 |
| 3 |
| 3 |
≡ | 3 |
∼ | 3 |
∝ | 3 |
−μ | 3 |
−S | 3 |
∑ | 3 |
∆T | 3 |
→ | 3 |
par | 3 |
ρ(F | 3 |
μ | 3 |
Ω. | 3 |
Álvaro | 3 |
± | 3 |
x.x2 | 3 |
world | 3 |
v2 | 3 |
th | 3 |
r(t | 3 |
princess | 3 |
Wu | 3 |
usa | 3 |
Wiener | 3 |
Problem | 3 |
Resource | 3 |
Republic | 3 |
Remark | 3 |
Reduced | 3 |
Re(λ | 3 |
Ray | 3 |
Rate | 3 |
Random | 3 |
RBF | 3 |
R(b0 | 3 |
Processes | 3 |
Power | 3 |
S1 | 3 |
Portal | 3 |
Polymerase | 3 |
Pine | 3 |
Physics | 3 |
People | 3 |
Peng | 3 |
Patient | 3 |
PACF | 3 |
Ortiz | 3 |
White | 3 |
Oms | 3 |
Rosenstein | 3 |
Prime | 3 |
S5 | 3 |
Statistical | 3 |
Wavelet | 3 |
Viral | 3 |
SEIRA | 3 |
Verhulst | 3 |
Verde | 3 |
Veneto | 3 |
Un | 3 |
Temperature | 3 |
Taylor | 3 |
Tang | 3 |
Switzerland | 3 |
Stock | 3 |
Thymine | 3 |
Sallet | 3 |
Squares | 3 |
Square | 3 |
Space | 3 |
Southeast | 3 |
Sir | 3 |
SIRC | 3 |
Shi | 3 |
Self | 3 |
SMIR | 3 |
Salim | 3 |
Harmonic | 2 |
He/ | 2 |
Guanine | 2 |
Healthcare | 2 |
Heesterbeek | 2 |
Hepatitis | 2 |
Haerbin | 2 |
H. | 2 |
HVAC | 2 |
HSC | 2 |
H.A. | 2 |
Gui | 2 |
Guesh | 2 |
GraphPad | 2 |
Hosts | 2 |
Hesse | 2 |
Intensive | 2 |
Huang | 2 |
Ian | 2 |
Immunization | 2 |
Inception | 2 |
Incidence | 2 |
Incremental | 2 |
Industrial | 2 |
Infections | 2 |
Input | 2 |
Intelligent | 2 |
Inter | 2 |
Interest | 2 |
Invariance | 2 |
Geometry | 2 |
IoT | 2 |
Giuseppe | 2 |
FDA | 2 |
Genome | 2 |
F=2 | 2 |
Federal | 2 |
Features | 2 |
Fang | 2 |
FODE | 2 |
FIDE | 2 |
FIAPARCH | 2 |
Extension | 2 |
Fig.4b | 2 |
Exposed | 2 |
Euro | 2 |
Estimating | 2 |
Equilibrium | 2 |
Entropy | 2 |
JMIR | 2 |
Fig.2 | 2 |
Florida | 2 |
Generative | 2 |
Functional | 2 |
Gaeta | 2 |
GPS | 2 |
GPR | 2 |
G7 | 2 |
Fuzzy | 2 |
Future | 2 |
Function | 2 |
Flow | 2 |
Free | 2 |
Fredholm | 2 |
Framework | 2 |
Forest | 2 |
Forecast | 2 |
Fluid | 2 |
Isolation | 2 |
MinMaxScaler | 2 |
Jafari | 2 |
Marquardt | 2 |
Memory | 2 |
Memarzadeh | 2 |
May. | 2 |
Maximum | 2 |
Mathematica | 2 |
Martelloni | 2 |
Markovian | 2 |
Michigan | 2 |
Marcus | 2 |
Mapping | 2 |
Map | 2 |
Manotosh | 2 |
Manifold | 2 |
Manchein | 2 |
Metzler | 2 |
English | 2 |
Malliavin | 2 |
NLDS | 2 |
Nanshan | 2 |
Nandi | 2 |
Nabi | 2 |
NV | 2 |
NPIs | 2 |
NN | 2 |
N(t | 2 |
Mining | 2 |
Mutaz | 2 |
Multimodal | 2 |
Multi | 2 |
Mortality | 2 |
Models‖ | 2 |
Mittage | 2 |
Management | 2 |
Malki | 2 |
Jajarmi | 2 |
Kerala | 2 |
LDH | 2 |
L(y | 2 |
Khoshnaw | 2 |
Kheiri | 2 |
Khatua | 2 |
Khajanchi | 2 |
Kawles | 2 |
LV | 2 |
Kar | 2 |
Jingjing | 2 |
Jiayang | 2 |
Jenkins | 2 |
Javascript | 2 |
Jana | 2 |
LR | 2 |
Laboratory | 2 |
MacDonald | 2 |
Llanovarced | 2 |
Ma | 2 |
MSE | 2 |
M.A. | 2 |
Lévy | 2 |
Lorenz | 2 |
Local | 2 |
Lippi | 2 |
Laguerre | 2 |
Life | 2 |
Levenberg | 2 |
Lei | 2 |
Lattice | 2 |
Latent | 2 |
Lanjuan | 2 |
Enko | 2 |
Chris | 2 |
Efficiency | 2 |
Approaches | 2 |
Aβ(1−ρ1)(1−ρ2)−µ(b2+α+ν+µ | 2 |
Autoregressive | 2 |
Autoencoder | 2 |
Asymptomatic | 2 |
Associated | 2 |
Arboviral | 2 |
Applied | 2 |
BI | 2 |
Anupam | 2 |
Antonopoulos | 2 |
Antequera | 2 |
An | 2 |
Algorithms | 2 |
Alexander | 2 |
B.Z | 2 |
BIC | 2 |
CDC | 2 |
Bibliometrics | 2 |
Brugnago | 2 |
Broeck | 2 |
Brain | 2 |
Brahim | 2 |
Boukanjime | 2 |
Biswas | 2 |
Bekiros | 2 |
Bangren | 2 |
Beims | 2 |
Behavior | 2 |
Bazaz | 2 |
Bayes | 2 |
Bats | 2 |
Barlow | 2 |
Aldila | 2 |
Akinlar | 2 |
Aided | 2 |
2f | 2 |
A.1 | 2 |
A-1 | 2 |
@t | 2 |
@D | 2 |
7ws2kleo | 2 |
3B | 2 |
2P | 2 |
Ai | 2 |
2B | 2 |
05(a | 2 |
/γ | 2 |
-Infected | 2 |
-19 | 2 |
Nguyen | 2 |
A.6 | 2 |
ADF | 2 |
AIC | 2 |
AR | 2 |
AT | 2 |
AUC | 2 |
Abdel | 2 |
Abdullah | 2 |
Abid | 2 |
Academician | 2 |
Adak | 2 |
Adam | 2 |
Adenine | 2 |
AdjR | 2 |
Aftab | 2 |
Agency | 2 |
Aguilar | 2 |
Buckmaster | 2 |
COV | 2 |
Effective | 2 |
Dagnew | 2 |
Design | 2 |
Derivatives | 2 |
Decision | 2 |
Decay | 2 |
Daubechies | 2 |
Danish | 2 |
DFA | 2 |
Diethelm | 2 |
DETECTR | 2 |
D.1 | 2 |
Cytosine | 2 |
Curation | 2 |
Cross | 2 |
Criterion | 2 |
Diagnostic | 2 |
Diffusion | 2 |
COVID- | 2 |
EM | 2 |
Effect | 2 |
Eduardo | 2 |
Editorial | 2 |
Earth | 2 |
EVD | 2 |
ER | 2 |
Driessche | 2 |
Digital | 2 |
Dram | 2 |
Dong | 2 |
Distance | 2 |
Discovery | 2 |
Director | 2 |
Dipo | 2 |
Crispr | 2 |
Covid19 | 2 |
Country | 2 |
Carvalho | 2 |
Chennai | 2 |
Chengdu | 2 |
Characteristics | 2 |
Change | 2 |
Cesar | 2 |
Casella | 2 |
Care | 2 |
Countries | 2 |
Caraballo | 2 |
Cadoni | 2 |
CTL | 2 |
CSSE | 2 |
CRediT | 2 |
COVID-19-endemic | 2 |
Chowell | 2 |
Chua | 2 |
Chuang | 2 |
Clebsch | 2 |
Clinical | 2 |
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min{τ | 2 |
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Resources | 2 |
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Relationships | 2 |
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Overall | 2 |
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Period | 2 |
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Generation | 1 |
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GCT | 1 |
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Franois | 1 |
Framelets | 1 |
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Label | 1 |
Foundations | 1 |
Forward | 1 |
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Forhandlinger | 1 |
Forensic | 1 |
Forecasts | 1 |
Football | 1 |
Food | 1 |
Fontana | 1 |
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Fist | 1 |
Francis | 1 |
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GB | 1 |
Friday | 1 |
GAN | 1 |
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Fu | 1 |
Ftests | 1 |
Frontline | 1 |
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Harun | 1 |
Hartman | 1 |
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Hantavirus | 1 |
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Han | 1 |
Hampton | 1 |
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Heart | 1 |
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Home | 1 |
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Histopathology | 1 |
Histcite | 1 |
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Hill | 1 |
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Hexahedral | 1 |
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Hellewell | 1 |
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Gujrat | 1 |
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Guerrero | 1 |
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Growth | 1 |
Grobman | 1 |
Grenfell | 1 |
Great | 1 |
Graph | 1 |
Grants | 1 |
Granger | 1 |
Gower | 1 |
Governor | 1 |
Goutam | 1 |
Gordon | 1 |
Good | 1 |
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Guldberg | 1 |
Hadamard | 1 |
Gumel | 1 |
HU1 | 1 |
HR | 1 |
HPV | 1 |
HPC | 1 |
HMM | 1 |
HFRS | 1 |
HEPA | 1 |
HEC | 1 |
HCoV-229E | 1 |
HCoV | 1 |
HBV | 1 |
H.L. | 1 |
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Gyasi | 1 |
Guo | 1 |
Lab | 1 |
Moroccan | 1 |
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Notas | 1 |
OCP | 1 |
O | 1 |
Nm+1 | 1 |
N−1 | 1 |
Néstor | 1 |
Nyna | 1 |
Notice | 1 |
Northeastern | 1 |
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Nonquarantined | 1 |
Nonparametric | 1 |
Nonlocality | 1 |
Non | 1 |
Noises | 1 |
No | 1 |
Niv | 1 |
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OP-2 | 1 |
OTexts | 1 |
Observatory | 1 |
Outline | 1 |
Other | 1 |
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Oscillations | 1 |
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Operating | 1 |
Online | 1 |
Olympics | 1 |
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Office | 1 |
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Octa | 1 |
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Occupant | 1 |
Nipah | 1 |
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Nidovirales | 1 |
NRC | 1 |
NML | 1 |
NLP | 1 |
NL63 | 1 |
NI | 1 |
NDC | 1 |
NCDC | 1 |
NANOSCIENCE | 1 |
nan | 1 |
Mycin | 1 |
MutationRate | 1 |
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Mustafa | 1 |
Murray | 1 |
Munmun | 1 |
Municipal | 1 |
NPC | 1 |
NSFC | 1 |
News | 1 |
Nagumo | 1 |
Neville | 1 |
Neves | 1 |
Neumann | 1 |
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Nat | 1 |
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PRCC=−0.8 | 1 |
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PJ | 1 |
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PDR | 1 |
PCA | 1 |
P.F. | 1 |
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Patterns | 1 |
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Path | 1 |
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Parameter | 1 |
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MID | 1 |
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MEM | 1 |
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MB | 1 |
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MA | 1 |
M.W.B. | 1 |
M.C. | 1 |
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MRI | 1 |
MSEIR | 1 |
Manifolds | 1 |
Mandelbrot | 1 |
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Mak | 1 |
Major | 1 |
Mahmoud | 1 |
Mahajan | 1 |
Madhya | 1 |
Mackey | 1 |
Machines | 1 |
Machado | 1 |
Macdonald | 1 |
MacIntyre | 1 |
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Lyase | 1 |
Lung | 1 |
Ltd. | 1 |
Liang | 1 |
LetS | 1 |
Leslie | 1 |
Leon | 1 |
Leibniz | 1 |
Lee | 1 |
Ledzewicz | 1 |
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LeMieux | 1 |
Law | 1 |
Lattes | 1 |
Lassa | 1 |
Larco | 1 |
Lara | 1 |
Lambert | 1 |
Lalrinfela | 1 |
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Libelli | 1 |
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Longitudinal | 1 |
Lonescu | 1 |
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Liquidity | 1 |
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Limit | 1 |
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Moderate | 1 |
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Finance | 1 |
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Moon | 1 |
Mine | 1 |
Millions | 1 |
Marchaud | 1 |
Mayer | 1 |
Maurer | 1 |
Matter | 1 |
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Mass | 1 |
Mask | 1 |
Marzolla | 1 |
Martynas | 1 |
Martin | 1 |
Maroc | 1 |
Markūnas | 1 |
Markets | 1 |
Market | 1 |
Marie | 1 |
Maria | 1 |
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Miller | 1 |
Measurements | 1 |
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Microbiology | 1 |
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Messages | 1 |
Menter | 1 |
Mental | 1 |
Mem | 1 |
Melin | 1 |
Mejia | 1 |
Mehmet | 1 |
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Mechanisms | 1 |
Mechanical | 1 |
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First | 1 |
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BP | 1 |
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Barraza | 1 |
Bangladesh | 1 |
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Baltistan | 1 |
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Bailey | 1 |
Baidu | 1 |
Bai | 1 |
Badr | 1 |
Backword | 1 |
Backpropagation | 1 |
Backer | 1 |
Baba | 1 |
BRICS | 1 |
Augmentation | 1 |
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Attique | 1 |
Approval | 1 |
Apostolopoulos | 1 |
Análise | 1 |
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Anwar | 1 |
Anugerah | 1 |
Antibodies | 1 |
Anomaly | 1 |
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Angiotensin | 1 |
Aneela | 1 |
Andrés | 1 |
Andrew | 1 |
Andrea | 1 |
Andere | 1 |
Anastassopoulou | 1 |
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Approximation | 1 |
Atmospheric | 1 |
Approximations | 1 |
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Athens | 1 |
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Atagana | 1 |
Asymptotic | 1 |
Assistant | 1 |
Asiya | 1 |
Asim | 1 |
Ashutosh | 1 |
Asamoah | 1 |
Arias | 1 |
Argha | 1 |
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ArXiv | 1 |
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Batistela | 1 |
Fig.4 | 1 |
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C(0 | 1 |
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Breeds | 1 |
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CCC | 1 |
CCTV | 1 |
COVID-19Thus | 1 |
COVID-19-free | 1 |
COVID--19 | 1 |
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COV-2 | 1 |
CORONAVIRUS | 1 |
COPD | 1 |
CONCLUSION | 1 |
CO | 1 |
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CNN | 1 |
CM | 1 |
CHAOS | 1 |
CD8 | 1 |
CD4^{+ | 1 |
Breast | 1 |
Breach | 1 |
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Bhardwaj | 1 |
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Betacoronavirus | 1 |
Besar | 1 |
Berskala | 1 |
Benvenuto | 1 |
Belousov | 1 |
Belarus | 1 |
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Beispielszenarien | 1 |
Behaviours | 1 |
Behavioral | 1 |
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Becaer | 1 |
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Bifurcation | 1 |
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Bifurcations | 1 |
Boussinesq | 1 |
Bouikhalene | 1 |
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Birla | 1 |
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Biotechnology | 1 |
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Bioengineering | 1 |
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Binary | 1 |
Anal-564 | 1 |
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8d | 1 |
8b | 1 |
7f4c01a2fe14b652bd8b2cf4009159f8897f3e6d | 1 |
624 | 1 |
5μ | 1 |
5d | 1 |
5c | 1 |
504 | 1 |
5,2020 | 1 |
3D | 1 |
3C | 1 |
3A | 1 |
38480cc7d6e8c150461a4d5d280d98cfec4f7624 | 1 |
372947b39005f7105cf7ecd4ce618174a655f9be | 1 |
1.005e | 1 |
0Ã | 1 |
0h | 1 |
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-80 | 1 |
-6 | 1 |
-5 | 1 |
+2 | 1 |
Pradesh | 1 |
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/N | 1 |
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-id=3551626 | 1 |
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@y | 1 |
@z | 1 |
A(H1N1 | 1 |
Airport | 1 |
Ahmedabad | 1 |
Ahmed | 1 |
Ahmadi | 1 |
Agrawal | 1 |
Agent | 1 |
Africa.1 | 1 |
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Afeez | 1 |
Aerospace | 1 |
Ae | 1 |
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Adomain | 1 |
Adhanom | 1 |
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Airy | 1 |
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Allieta | 1 |
Allahabad | 1 |
Alkahtani | 1 |
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Algis | 1 |
Algeria | 1 |
Alfarizi | 1 |
Albahri | 1 |
Alaa | 1 |
Al | 1 |
Akshoy | 1 |
Akhtar | 1 |
Action | 1 |
Accounting | 1 |
A(H5N1 | 1 |
AL | 1 |
AII | 1 |
AFB180004 | 1 |
ACFR | 1 |
ACE2 | 1 |
ABM | 1 |
A3 | 1 |
A2 | 1 |
A1(d | 1 |
A1(c | 1 |
A1(b | 1 |
A1(a | 1 |
A.8 | 1 |
A.5 | 1 |
A.3 | 1 |
A(H7N9 | 1 |
AIIs | 1 |
ANFIS | 1 |
Accord | 1 |
ANID | 1 |
Aboul | 1 |
Abidemi | 1 |
Abel | 1 |
Abboubakar | 1 |
Aayah | 1 |
Aashima | 1 |
Aanisah | 1 |
ARIMA(2,2,2 | 1 |
ARIMA(1,2,1 | 1 |
ARIMA(1,1,2 | 1 |
ARIMA(0,1,1 | 1 |
APPLIED | 1 |
API | 1 |
ANTI | 1 |
ANNAIL | 1 |
COVID-548 | 1 |
COVID-555 | 1 |
COVIDX | 1 |
E.L.B. | 1 |
Ecosystems | 1 |
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EU | 1 |
EIR | 1 |
EFG | 1 |
ECDC | 1 |
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Delamater | 1 |
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Drawing | 1 |
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Editori | 1 |
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Emilia | 1 |
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Ella | 1 |
Elhosseini | 1 |
Electron | 1 |
Ekki | 1 |
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Ehsanes | 1 |
Egi | 1 |
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Draheim | 1 |
Dr. | 1 |
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Dimitra | 1 |
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Dietz | 1 |
Diego | 1 |
Dickey | 1 |
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Document | 1 |
DnaSP | 1 |
Dmakit | 1 |
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Dis-610 | 1 |
Dis | 1 |
Dirk | 1 |
Dirichlet | 1 |
Endto | 1 |
Energy | 1 |
Ensemb | 1 |
Farah | 1 |
Faisal | 1 |
Failure | 1 |
Factors | 1 |
1 | |
Fabrizo | 1 |
FPA | 1 |
FIO | 1 |
FIG | 1 |
FIFA | 1 |
FDO | 1 |
FBI | 1 |
FAPESC | 1 |
F=6 | 1 |
F=3,4 | 1 |
F.T. | 1 |
Family | 1 |
Farhan | 1 |
Eyam | 1 |
Farooq | 1 |
Fig.2A | 1 |
Fig.1 | 1 |
Fields | 1 |
Fg | 1 |
Festival | 1 |
Fermi | 1 |
Fengxiao | 1 |
Fejér | 1 |
Febrizio | 1 |
Feb | 1 |
Feature | 1 |
Fbprophet | 1 |
Fatou | 1 |
Fatmawati | 1 |
Fatini | 1 |
Eyring | 1 |
Extreme | 1 |
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Estadual | 1 |
Essex | 1 |
Errors | 1 |