Helder Moreira Arruda
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Applications of RFID technology on the study of bees
P Nunes-Silva, M Hrncir, JTF Guimarães, H Arruda, L Costa, G Pessin, ...
Insectes sociaux 66, 15-24, 2019
Radiofrequency identification (RFID) reveals long-distance flight and homing abilities of the stingless bee Melipona fasciculata
P Nunes-Silva, L Costa, AJ Campbell, H Arruda, FAL Contrera, ...
Apidologie, 1-14, 2019
Internet of Things and occupational well-being in industry 4.0: A systematic mapping study and taxonomy
R Bavaresco, H Arruda, E Rocha, J Barbosa, GP Li
Computers & Industrial Engineering 161, 107670, 2021
Addressing RFID misreadings to better infer bee hive activity
F Susanto, T Gillard, P De Souza, B Vincent, S Budi, A Almeida, G Pessin, ...
IEEE Access 6, 31935-31949, 2018
RFID-tagged amazonian stingless bees confirm that landscape configuration and nest re-establishment time affect homing ability
L Costa, P Nunes-Silva, JS Galaschi-Teixeira, H Arruda, JC Veiga, ...
Insectes Sociaux 68, 101-108, 2021
An Amazon stingless bee foraging activity predicted using recurrent artificial neural networks and attribute selection
PAB Gomes, Y Suhara, P Nunes-Silva, L Costa, H Arruda, G Venturieri, ...
Scientific reports 10 (1), 9, 2020
Foraging and drifting patterns of the highly eusocial neotropical stingless bee Melipona fasciculata assessed by radio-frequency identification tags
R Caliari Oliveira, F Andrés León Contrera, H Arruda, R Jaffé, L Costa, ...
Frontiers in Ecology and Evolution, 517, 2021
Identifying bee species by means of the foraging pattern using machine learning
H Arruda, V Imperatriz-Fonseca, P de Souza, G Pessin
2018 International Joint Conference on Neural Networks (IJCNN), 1-6, 2018
Detecção de Anomalias em Comportamento de Abelhas Utilizando Redes Neurais Recorrentes
HVF de Carvalho, EC Carvalho, H Arruda, V Imperatriz-Fonseca, ...
Improving our understanding of the behavior of bees through anomaly detection techniques
F Gama, HM Arruda, HV Carvalho, P de Souza, G Pessin
Artificial Neural Networks and Machine Learning–ICANN 2017: 26th …, 2017
Exploiting machine learning for the identification of locomotives’ position in large freight trains
H Arruda, O Ohashi, J Ferreira, C De Souza, G Pessin
Applied Artificial Intelligence 33 (10), 902-912, 2019
Wearable computing for railway environments: Proposal and evaluation of a safety solution
BV Ferreira, G Serejo, MR Ferreira, DF Ferreira, L Cardoso, E Yoshidome, ...
IET Intelligent transport systems 11 (6), 319-325, 2017
Exploiting recurrent neural networks in the forecasting of bees’ level of activity
PAB Gomes, EC de Carvalho, HM Arruda, P de Souza, G Pessin
Artificial Neural Networks and Machine Learning–ICANN 2017: 26th …, 2017
Identifying Locomotives’ Position in Large Freight Trains: An investigation with Machine Learning and Fuel Consumption
H Arruda, G Pessin, O Ohashi, J Ferreira, C de Souza
Arquitetura Computacional para Manuseio de Dados de Clima e Movimentação de Abelhas com Etiquetas Eletrônicas
HM Arruda
Dissertação de Mestrado, 2015
Data Science Methods and Tools for Industry 4.0: A Systematic Literature Review and Taxonomy
HM Arruda, RS Bavaresco, R Kunst, EF Bugs, GC Pesenti, JLV Barbosa
Sensors 23 (11), 5010, 2023
OntoLearnWell: uma ontologia baseada em contextos orientada ao bem-estar emocional no ambiente educacional
HM Arruda, SO Dorneles, LM Tonetto, EF Bugs, GC Pesenti, R Kunst, ...
Revista Brasileira de Computação Aplicada 15 (1), 59-69, 2023
Monitoring of Africanized Bees (Apis mellifera L.) using radiofrequency identification technology (RFID) in Belem, Para, Brazil
DS Pereira, MEC Oliveira, MJ Moura, W de Andrade de Carvalho, ...
ACTA Apicola Brasilica 10, e9654, 2022
Foraging and Drifting Patterns of a Highly Eusocial Neotropical Stingless Bee Species Assessed by Radio-frequency Identification Tags
RC Oliveira, FAL Contrera, H Arruda, R Jaffé, L Costa, G Pessin, ...
Flight distance and homing ability of Melipona fasciculata assessed by Radio Frequency Identification (RFID).
L Costa, P Nunes-Silva, H Arruda, FAL CONTRERA, AJ CAMPBELL, ...
Embrapa Amazônia Oriental-Resumo em anais de congresso (ALICE), 2018
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