Laio Oriel Seman

Laio Oriel Seman

Universidade do Vale do Itajaí

H-index: 20

Latin America-Brazil

About Laio Oriel Seman

Laio Oriel Seman, With an exceptional h-index of 20 and a recent h-index of 20 (since 2020), a distinguished researcher at Universidade do Vale do Itajaí, specializes in the field of Optimization, Deep Learning, Space Systems.

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

Hypertuned-YOLO for interpretable distribution power grid fault location based on EigenCAM

Random Convolutional Kernel Transform with Empirical Mode Decomposition for Classification of Insulators from Power Grid

Benders decomposition for the energy aware task scheduling of constellations of nanosatellites

A real-time SVM-based hardware accelerator for hyperspectral images classification in FPGA

Hypertuned temporal fusion transformer for multi-horizon time series forecasting of dam level in hydroelectric power plants

Neural networks informed by physics for modeling mass flow rate in a production wellbore

Enhancing wind speed forecasting through synergy of machine learning, singular spectral analysis, and variational mode decomposition

Optimized hybrid ensemble learning approaches applied to very short-term load forecasting

Laio Oriel Seman Information

University

Position

___

Citations(all)

1087

Citations(since 2020)

1066

Cited By

147

hIndex(all)

20

hIndex(since 2020)

20

i10Index(all)

34

i10Index(since 2020)

33

Email

University Profile Page

Universidade do Vale do Itajaí

Google Scholar

View Google Scholar Profile

Laio Oriel Seman Skills & Research Interests

Optimization

Deep Learning

Space Systems

Top articles of Laio Oriel Seman

Title

Journal

Author(s)

Publication Date

Hypertuned-YOLO for interpretable distribution power grid fault location based on EigenCAM

Ain Shams Engineering Journal

Stefano Frizzo Stefenon

Laio Oriel Seman

Anne Carolina Rodrigues Klaar

Raúl García Ovejero

Valderi Reis Quietinho Leithardt

2024/3/1

Random Convolutional Kernel Transform with Empirical Mode Decomposition for Classification of Insulators from Power Grid

Sensors

Anne Carolina Rodrigues Klaar

Laio Oriel Seman

Viviana Cocco Mariani

Leandro dos Santos Coelho

2024/2/8

Benders decomposition for the energy aware task scheduling of constellations of nanosatellites

Computers & Operations Research

Laio Oriel Seman

Cezar Antônio Rigo

Eduardo Camponogara

Eduardo Augusto Bezerra

2024/6/1

A real-time SVM-based hardware accelerator for hyperspectral images classification in FPGA

Microprocessors and Microsystems

Lucas Amilton Martins

Felipe Viel

Laio Oriel Seman

Eduardo Augusto Bezerra

Cesar Albenes Zeferino

2024/2/1

Hypertuned temporal fusion transformer for multi-horizon time series forecasting of dam level in hydroelectric power plants

International Journal of Electrical Power & Energy Systems

Stefano Frizzo Stefenon

Laio Oriel Seman

Luiza Scapinello Aquino da Silva

Viviana Cocco Mariani

Leandro dos Santos Coelho

2024/6/1

Neural networks informed by physics for modeling mass flow rate in a production wellbore

Engineering Applications of Artificial Intelligence

Luis Fernando Nazari

Eduardo Camponogara

Lars Struen Imsland

Laio Oriel Seman

2024/2/1

Enhancing wind speed forecasting through synergy of machine learning, singular spectral analysis, and variational mode decomposition

Energy

Sinvaldo Rodrigues Moreno

Laio Oriel Seman

Stefano Frizzo Stefenon

Leandro dos Santos Coelho

Viviana Cocco Mariani

2024/4/1

Optimized hybrid ensemble learning approaches applied to very short-term load forecasting

International Journal of Electrical Power & Energy Systems

Marcos Yamasaki Junior

Roberto Zanetti Freire

Laio Oriel Seman

Stefano Frizzo Stefenon

Viviana Cocco Mariani

...

2024/1/1

Power Simulation of a CubeSat: Influence of Orbit, Attitude, and Thermal Control

IEEE Embedded Systems Letters

André L Rodrigues Santana

Edemar Morsch Filho

Francisco das Chagas de Souza

Laio O Seman

2024/3

Deep-learning-based Early Fixing for Gas-lifted Oil Production Optimization: Supervised and Weakly-supervised Approaches

arXiv preprint arXiv:2309.00197

Bruno Machado Pacheco

Laio Oriel Seman

Eduardo Camponogara

2023/9/1

MPPT aware task scheduling for nanosatellites using MIP-based ReLU proxy models

Expert Systems with Applications

Cezar Antônio Rigo

Laio Oriel Seman

Edemar Morsch Filho

Eduardo Camponogara

Eduardo Augusto Bezerra

2023/12/30

A Methodology for Accelerating FPGA Fault Injection Campaign Using ICAP

Electronics

Frederico Ferlini

Felipe Viel

Laio Oriel Seman

Hector Pettenghi

Eduardo Augusto Bezerra

...

2023/2/6

Optimizing Operations Sequencing and Demulsifier Injection in Offshore Oil Production Platforms

IEEE Access

Eduardo Rauh Müller

Eduardo Camponogara

Laio Oriel Seman

Bruno Ferreira Vieira

Luis Kin Miyatake

2023/4/3

Optimized EWT-Seq2Seq-LSTM with attention mechanism to insulators fault prediction

Sensors

Anne Carolina Rodrigues Klaar

Stefano Frizzo Stefenon

Laio Oriel Seman

Viviana Cocco Mariani

Leandro dos Santos Coelho

2023/3/17

RNS processor using moduli sets of the form 2n±1

International Journal of Circuit Theory and Applications

Vanessa Prediger

Fábio Bairros

Laio Oriel Seman

Eduardo Augusto Bezerra

Héctor Pettenghi

2023/7

Explainable column-generation-based genetic algorithm for knapsack-like energy aware nanosatellite task scheduling

Applied Soft Computing

Laio Oriel Seman

Cezar Antônio Rigo

Eduardo Camponogara

Eduardo Augusto Bezerra

Leandro dos Santos Coelho

2023/9/1

Modelo de trocador de calor de superfície em aeronave

Proceeding Series of the Brazilian Society of Computational and Applied Mathematics

Edemar Morsch Filho

Henrique Carreira Martins

Laio Oriel Seman

2023/12/18

Aggregating prophet and seasonal trend decomposition for time series forecasting of Italian electricity spot prices

Energies

Stefano Frizzo Stefenon

Laio Oriel Seman

Viviana Cocco Mariani

Leandro dos Santos Coelho

2023/1/29

Structure optimization of ensemble learning methods and seasonal decomposition approaches to energy price forecasting in Latin America: A case study about Mexico

Energies

Anne Carolina Rodrigues Klaar

Stefano Frizzo Stefenon

Laio Oriel Seman

Viviana Cocco Mariani

Leandro dos Santos Coelho

2023/3/31

Worst-Case Communication Time Analysis for On-Chip Networks With Finite Buffers

IEEE Access

Rubens Vicente De Liz Bomer

Cesar Albenes Zeferino

Laio Oriel Seman

Valderi Reis Quietinho Leithardt

2023/3/10

See List of Professors in Laio Oriel Seman University(Universidade do Vale do Itajaí)

Co-Authors

H-index: 72
Leandro dos Santos Coelho

Leandro dos Santos Coelho

Pontifícia Universidade Católica do Paraná

H-index: 51
Viviana Cocco Mariani

Viviana Cocco Mariani

Pontifícia Universidade Católica do Paraná

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