E. Nascimento

发表

A Cluster-based Algorithm for Anomaly Detection in Time Series Using Mahalanobis Distance

Erick Giovani Sperandio Nascimento, A. D. Souza, E. Nascimento, 2015 .

Evaluating the Impact of HCL Atmospheric Dispersion caused by an Aborted Rocket Launch in different Stability Conditions

D. Moreira, E. Nascimento, N.B.P. Souza, 2019, International Journal of Advanced Engineering Research and Science.

Scaling behavior of wind speed in the coast of Brazil and the South Atlantic Ocean: The crossover phenomenon

M. Moret, D. Moreira, E. Nascimento, 2021 .

Unsupervised Machine Learning for Anomaly Detection in Multivariate Time Series Data of a Rotating Machine from an Oil and Gas Platform

Ilan Sousa Figueirêdo, Tássio Farias Carvalho, L. Guarieiro, 2021 .

WRF-SMOKE-CMAQ modeling system for air quality evaluation in São Paulo megacity with a 2008 experimental campaign data

R. Ynoue, D. Moreira, W. L. Andreão, 2018, Environmental Science and Pollution Research.

Coastal-urban meteorology: A sensitivity study using the WRF-urban model

Prashant Kumar, D. Moreira, T. T. de Almeida Albuquerque, 2022, Urban Climate.

Feasibility analysis on the construction of a web solution for hydrometeorological forecasting considering water body management and indicators for the SARS-COV-2 pandemic

R. Pedruzzi, D. Moreira, E. Nascimento, 2021, AI Perspectives.

Bias and unfairness in machine learning models: a systematic literature review

E. Nascimento, T. Pagano, Rafael Bessa Loureiro, 2022, ArXiv.

ASSESSMENT OF PRIMARY AIR POLLUTANTS IN A TROPICAL METROPOLITAN REGION BY COMBINING LOCAL AND GLOBAL EMISSIONS INVENTORIES

L. Guarieiro, T. Albuquerque, D. Moreira, 2019, Air Pollution XXVII.

Simulated Dispersion of the Gas Released by the SpaceX Falcon9 Rocket Explosion

D. Moreira, E. Nascimento, N.B.P. Souza, 2018, Journal of Spacecraft and Rockets.

Evaluation of the WRF-ARW model during an extreme rainfall event: subtropical storm Guará

Prashant Kumar, T. Albuquerque, D. Moreira, 2021, Atmósfera.

Solving partial differential equations on near-term quantum computers

D. Knupp, E. Nascimento, Antonella Albino, 2022, 2208.05805.

Remote Heart Rate Prediction in Virtual Reality Head-Mounted Displays Using Machine Learning Techniques

E. Nascimento, Yasmin da Silva Bonfim, T. Pagano, 2022, Sensors.

Feasibility Analysis on the Construction of a Web Solution for Hydrometeorological Forecasting Considering Water Body Management and Indicators for the Pandemic of SARS-COV-2

R. Pedruzzi, D. Moreira, E. Nascimento, 2021 .

The development of a new model to simulate the dispersion of rocket exhaust clouds

Erick Giovani Sperandio Nascimento, Davidson Martins Moreira, Taciana Toledo de Almeida Albuquerque, 2017 .

Simulation of Rocket Exhaust Clouds at the Centro de Lançamento de Alcântara Using the WRF-CMAQ Modeling System

Erick Giovani Sperandio Nascimento, Davidson Martins Moreira, Gilberto Fisch, 2014 .

Multivariate Real Time Series Data Using Six Unsupervised Machine Learning Algorithms

Erick Giovani Sperandio Nascimento, Ilan Sousa Figueiredo, Lílian Lefol Nani Guarieiro, 2020, Anomaly Detection - Recent Advances, Issues and Challenges [Working Title].

Low-Cost Air Quality Sensing towards Smart Homes

Erick Giovani Sperandio Nascimento, Prashant Kumar, Manik Gupta, 2021, Atmosphere.

An investigation on deep learning and wavelet transform to nowcast wind power and wind power ramp: A case study in Brazil and Uruguay

Erick Giovani Sperandio Nascimento, Alex Álisson Bandeira Santos, Davidson Martins Moreira, 2021 .

Analysis of PM2.5 concentrations under pollutant emission control strategies in the metropolitan area of São Paulo, Brazil

J. Martins, J. West, L. Martins, 2019, Environmental Science and Pollution Research.

Nowcasting prediction of wind speed using computational intelligence and wavelet in Brazil

Pedro Junior Zucatelli, Erick Giovani Sperandio Nascimento, Alex Álisson Bandeira Santos, 2020 .

Particulate Matter Forecasting Using Different Deep Neural Network Topologies and Wavelets for Feature Augmentation

Prashant Kumar, D. Moreira, E. Nascimento, 2022, Atmosphere.

A transformer-based deep neural network with wavelet transform for forecasting wind speed and wind energy

Talison A. C. de Melo, D. Moreira, E. Nascimento, 2023, Energy.

Atmospheric Dispersion Modeling To Simulate Rocket Exhaust Clouds

N. C. Reis, J. M. Santos, T. Albuquerque, 2015 .

A Model Using Fractional Derivatives with Vertical Eddy Diffusivity Depending on the Source Distance Applied to the Dispersion of Atmospheric Pollutants

D. Moreira, E. Nascimento, Paulo Xavier, 2018, Pure and Applied Geophysics.

Deep learning for diagnosis and classification of faults in industrial rotating machinery

Herman Augusto Lepikson, Erick Giovani Sperandio Nascimento, Ubatan A. Miranda, 2020, Comput. Ind. Eng..

New approach to solving the atmospheric pollutant dispersion equation using fractional derivatives

D. Moreira, E. Nascimento, Paulo Xavier, 2019 .