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Camilla Lima Cunha

About Camilla Lima Cunha

Camilla Lima Cunha, With an exceptional h-index of 4 and a recent h-index of 4 (since 2020), a distinguished researcher at Universidade do Estado do Rio de Janeiro, specializes in the field of Chemometrics, Machine Learning, Deep Learning, Big Data, Data mining.

His recent articles reflect a diverse array of research interests and contributions to the field:

Direct measurements can help to understand the changes in ecosystems

Increased Amazon carbon emissions mainly from decline in law enforcement

CO2 emissions in the Amazon: are bottom-up estimates from land use and cover datasets consistent with top-down estimates based on atmospheric measurements?

Employing Auto-Machine Learning Algorithms for Predicting the Cold Filter Plugging and Kinematic Viscosity at 40ºC in Biodiesel Blends using Vibrational Spectroscopy Data

Amazon carbon emissions double mainly by dismantled in law enforcement

Forecasts of tropospheric ozone in the Metropolitan Area of Rio de Janeiro based on missing data imputation and multivariate calibration techniques

Multivariate regression models obtained from near-infrared spectroscopy data for prediction of the physical properties of biodiesel and its blends

Camilla Lima Cunha Information

University

Position

___

Citations(all)

130

Citations(since 2020)

117

Cited By

53

hIndex(all)

4

hIndex(since 2020)

4

i10Index(all)

4

i10Index(since 2020)

4

Email

University Profile Page

Google Scholar

Camilla Lima Cunha Skills & Research Interests

Chemometrics

Machine Learning

Deep Learning

Big Data

Data mining

Top articles of Camilla Lima Cunha

Direct measurements can help to understand the changes in ecosystems

2024/2/2

Lucas Domingues
Lucas Domingues

H-Index: 8

John Miller
John Miller

H-Index: 13

Increased Amazon carbon emissions mainly from decline in law enforcement

Nature

2023/9/14

John B Miller
John B Miller

H-Index: 5

CO2 emissions in the Amazon: are bottom-up estimates from land use and cover datasets consistent with top-down estimates based on atmospheric measurements?

Frontiers in Forests and Global Change

2023/8/23

John B Miller
John B Miller

H-Index: 5

Employing Auto-Machine Learning Algorithms for Predicting the Cold Filter Plugging and Kinematic Viscosity at 40ºC in Biodiesel Blends using Vibrational Spectroscopy Data

Brazilian Journal of Analytical Chemistry

2023

Alexandre Rodrigues Torres
Alexandre Rodrigues Torres

H-Index: 6

Camilla Lima Cunha
Camilla Lima Cunha

H-Index: 3

Amazon carbon emissions double mainly by dismantled in law enforcement

2022/9/19

Lucas Domingues
Lucas Domingues

H-Index: 8

John Miller
John Miller

H-Index: 13

Raoni Rajão
Raoni Rajão

H-Index: 18

Britaldo Soares-Filho
Britaldo Soares-Filho

H-Index: 46

Forecasts of tropospheric ozone in the Metropolitan Area of Rio de Janeiro based on missing data imputation and multivariate calibration techniques

Environmental Monitoring and Assessment

2021/8

Multivariate regression models obtained from near-infrared spectroscopy data for prediction of the physical properties of biodiesel and its blends

Fuel

2020/2/1

See List of Professors in Camilla Lima Cunha University(Universidade do Estado do Rio de Janeiro)