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
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
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
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
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
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
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
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
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
Detecção de Anomalias em Comportamento de Abelhas Utilizando Redes Neurais Recorrentes
HVF de Carvalho, EC Carvalho, H Arruda, V Imperatriz-Fonseca, ...
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
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
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
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
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
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
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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