lamfo-unb.github.io


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lamfo-unb.github.io Website Info

lamfo-unb.github.io (LAMFO UNB is a research laboratory at Universidade de Brasília specializing in the study and analysis of macromolecular and organic fluids. The lab focuses on advancing scientific understanding and innovation in fluid dynamics, polymer sciences, and related fields through various research projects and collaborations.) DNS looks Active and website looks Accessable. Domain Moz Rank is 3.4 and SEMRush Rank is 1,109,214. According to Google, website speed score is 0/100 and . Website looks safe for children. We detected the website language as en.
lamfo-unb.github.io


lamfo-unb.github.io Website Tags

Domain Status:
✓ Active
Is Site Accessable?:
✓ Yes
SSL(https):
✓ Yes
Accessable Url:
https://www.lamfo-unb.github.io
Title:
LAMFO UNB - Laboratory of Macromolecular and Organic Fluids | Universidade de Brasília
Description:
Visit the official website of LAMFO UNB to explore research, projects, and publications in the field of macromolecular and organic fluids. Collaborate with our experts at Universidade de Brasília.
Categories :
Internet Services, Information Technology
External Links:
3
Internal Links:
64
Canonical URL:
http://lamfo.unb.br//
Language:
en
XML Sitemap:
✗ No
robots.txt:
✗ No
Favicon:
✗ No

lamfo-unb.github.io Domain & Whois Details

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Hosting Location:
-
IP:
185.199.109.153 , 185.199.111.153 , 185.199.108.15

lamfo-unb.github.io Backlinks & Rankings

Moz Rank:
3.4
MozRank is developed by SEOmoz similar to Google Pagerank and scaled 10-point measurement.
Moz DA:
24
Moz Domain Authority (DA) is a search engine ranking score developed by Moz that predicts how well a website will rank on search engine result pages. Domain Authority scores range from one to 100, with higher scores corresponding to greater likelihood of ranking.
Moz PA:
34
Moz Page Authority (PA) is Page Authority (PA) is a score developed by Moz that predicts how well a specific page will rank on search engine result pages (SERP). Page Authority scores range from one to 100, with higher scores corresponding to a greater ability to rank.
MOZ Total Links:
139
Number of total links (equity or nonequity or not, internal or external) to the URL.
MOZ External Links:
14
Number of external equity links to the URL.
SEMRush Rank:
1,109,214
Semrush Rank is a proprietary score that lets you find the domains that are getting the most traffic from organic search.
SEMRush Traffic:
729
Number of users expected to visit the website during the following month.
SEMRush Costs:
173
Estimated price of organic keywords in Google AdWords.
SEMRush URL Links:
46
Number of links to URL according to SemRush.
SEMRush Website Links:
1,727
Number of links to the website according to SemRush.
SEMRush Domain Links:
1,727
Number of links to SemRush Domain.
SEMRush Keywords In Top 100:
296
Number of keywords where site in Google's organic search top 100.

lamfo-unb.github.io Social Media

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0
Facebook Shares:
0
Facebook Reactions:
0

lamfo-unb.github.io Website Speed (Desktop) Check Now

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lamfo-unb.github.io Website Safety

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Last Check Date:
6/26/2023 9:49:31 AM
Fortiguard:
Information Technology
Mcafee Category:
Internet Services
OpenDNS:
Software/Technology
Cloudflare DNS:
OK
MyWot Child Safety:
99

lamfo-unb.github.io HTTP Headers

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Accept-Ranges :
bytes
Access-Control-Allow-Origin :
*
Age :
0
Cache-Control :
max-age=600
Connection :
keep-alive
Content-Length :
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Content-Type :
text/html; charset=utf-8
Date :
Sat, 10 Jun 2023 07:34:54 GMT
ETag :
"60a6d991-6739"
expires :
Sat, 10 Jun 2023 07:44:54 GMT
Last-Modified :
Thu, 20 May 2021 21:50:09 GMT
Permissions-Policy :
interest-cohort=()
Server :
GitHub.com
strict-transport-security :
max-age=31556952
Vary :
Accept-Encoding
Via :
1.1 varnish
X-Cache :
MISS
x-cache-hits :
0
X-Fastly-Request-ID :
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X-GitHub-Request-Id :
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X-Proxy-Cache :
MISS
X-Served-By :
cache-lga21954-LGA
X-Timer :
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lamfo-unb.github.io W3C HTML Validation Check Now

Last Check Date:
6/2/2023 12:00:00 AM
Errors:
0
Warnings:
0
Info:
2
Check Live:
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Top lamfo-unb.github.io Alternatives

lamfo-unb.github.io Site Keywords

LAMFO
macromolecular fluids
organic fluids
Research
scientific projects
unb
Universidade de Brasília

lamfo-unb.github.io Site H Tags

Check Now
h1
LAMFO
h2
Algoritmos evolutivos e programação genética
h2
Backpropagation e algoritmos de otimização por gradiente descendente
h2
Anova & Manova
h2
Bibliometria e Meta Análise
h2
Introdução ao reconhecimento de imagens
h2
Autoencoder
h2
Fatos Estilizados em Finanças
h2
Classificação de Imagens com Redes Neurais Convolucionais
h2
Análise Discriminante Linear
h2
Crash Course de Amostragem
h2
Modelo CAPM: precificando ações
h2
Self-organizing maps
h2
Restricted Boltzmann Machine - RBM
h2
Random Forest
h2
Support Vector Machines
h2
Propensity Score Matching
h2
Os dois mercados
h2
Abordagem econométrica via escore de propensão
h2
Regressão Logística
h2
Análise estatística dos dados chineses do COVID-19 usando Lei de Benford e clusterização.
h2
O Método dos Mínimos Quadrados Ordinários e Regressão Linear Simples
h2
Markowitz - Seleção de carteiras
h2
Estatística Espacial
h2
Cálculo Estocástico
h2
Dados em Painel
h2
Clusterização de texto de reclamação não supervisionada usando K-means com python
h2
Simulação baseada em Agentes com Gama Platform para simulação de trânsito em rodovias de Brasília e
h2
Programação Dinâmica
h2
Pay attention - Explicando o mecanismo de atenção
h2
Double/Debiased Machine Learning
h2
Stacked Generalization (Empilhamento)
h2
Diagnóstico em Regressão
h2
Modelos Lineares Generalizados
h2
Sistemas de Recomendação usando Collaborative Filtering
h2
Coletando Dados da Web para Aprendizado de Máquina - Parte 1
h2
Otimização de Estruturas de Filas
h2
Inteligência Artificial na Medicina
h2
Gamificação
h2
Mantendo o controle na era do Big Data. Manipulação de dados em R com o pacote data.table.
h2
Processos Gaussianos
h2
Bancos de dados - Onde vivem, O que comem e Como se reproduzem
h2
SVM aplicado ao Marketing
h2
Incerteza em Modelos de Deep Learning
h2
Introdução Básica à Clusterização
h2
Classificadores Ensemble, tipos Bagging e Boosting
h2
Modelos Regressivos Compostos para Estimativas de Preço
h2
Teste de Eventos
h2
Uma visão amigável do Teorema de Bayes
h2
Os Três Tipos de Aprendizado de Máquina
h2
Introdução à Análise de Ações com R
h2
Tutorial de SVM
h2
Modelo Tweedie Poisson Compound para dados de sinistros de veículos
h2
Bootstrap
h2
Uma Abordagem Intuitiva às Redes Neurais
h2
Instalando Python para Aprendizado de Máquina
h2
Visualização e exploração de dados espaciais em R
h2
Aprendizado Semi-Supervisionado para Detecção de Fraudes Parte 3
h2
Aprendizado Semi-Supervisionado para Detecção de Fraudes Parte 2
h2
Aprendizado Semi-Supervisionado para Detecção de Fraudes Parte 1
h2
Um Olhar Descontraído Sobre o Dilema Viés-Variância


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