| 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 | 85 | 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 | 45 | 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 | 30 | 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 | 23 | 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 | 18* | 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 | 18 | 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 | 18 | 2020 |
| 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 | 15 | 2023 |
| 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 | 13 | 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 | 8 | 2019 |
| Detecção de Anomalias em Comportamento de Abelhas Utilizando Redes Neurais Recorrentes HVF de Carvalho, EC Carvalho, H Arruda, V Imperatriz-Fonseca, ... | 8 | 2018 |
| 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 | 6 | 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 | 6 | 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 | 6 | 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 | 2 | 2016 |
| Arquitetura Computacional para Manuseio de Dados de Clima e Movimentação de Abelhas com Etiquetas Eletrônicas HM Arruda Dissertação de Mestrado, 2015 | 2 | 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 | 1* | 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 | | 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, ... | | 2021 |
| 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 | | 2018 |
Paulo de SouzaExecutive Dean (Engineering), Edith Cowan UniversityVerified email at ecu.edu.au
