Minicursos do XIV Encontro Unificado de Computação do Piauí (ENUCOMPI) e XI Simpósio de Sistemas de Informação (SINFO)

Agafonkin, V. (2014). Leaet: an open-source javascript library for mobile-friendly interactive maps. Accessed September, 21:2020.

Agarwala, H., Becker, R., Fatima, M., and Riediger, L. (2019). Development of an artificial conversational entity (ace) for continuous learning and adaptation to user’s preferences and behavior. Proceedings of the 18th Annual SIGdial Meeting on Discourse and Dialogue.

AHSAN, M. R.; IBRAHIMY, M. I.; KHALIFA, O. O. The Use of Artificial Neural Network in the Classification of EMG Signals. In: 2012 Third FTRA International Conference on Mobile, Ubiquitous, and Intelligent Computing. IEEE, 2012. p. 225–229. ISBN 978-1-4673-1956-0. Disponível em: http://ieeexplore.ieee.org/document/6305853/.

AJIBOYE, A.; WEIR, R. A Heuristic Fuzzy Logic Approach to EMG Pattern Recognition for Multifunctional Prosthesis Control. IEEE Transactions on Neural Systems and Rehabilitation Engineering, v. 13, n. 3, p. 280–291, sep 2005. ISSN 1534-4320. Disponível em: http://ieeexplore.ieee.org/document/1506815/.

ALBINO, V.; BERARDI, U.; DANGELICO, R. M. Smart Cities: Definitions, Dimensions, Performance, and Initiatives. Journal of Urban Technology, v. 22, n. 1, p. 3–21, 2 jan. 2015.

ALENCAR, T. S. DE et al. Addressing the Users’ Diversity in Ubiquitous Environments through a Low Cost Architecture. SpringerLink. Anais... In: INTERNATIONAL CONFERENCE ON UNIVERSAL ACCESS IN HUMANCOMPUTER INTERACTION. Springer, Cham, 22 jun. 2014. Disponível em: [link]. Acesso em: 22 abr. 2017.

Ali, N. (2020). Chatbot: A conversational agent employed with named entity recognition model using artificial neural network. CoRR, abs/2007.04248.

Aranha, C. N. (2017). Uma abordagem de pré-processamento automático para mineração de textos em português: Sob o enfoque da inteligência computacional.

BADOUCH, A. et al. Augmented Reality services implemented within Smart Cities, based on an Internet of Things Infrastructure, Concepts and Challenges: an overview. Proceedings of the Fourth International Conference on Engineering & MIS 2018. Anais...2018.

Bai, C., Yan, P., Yu, X., and Guo, J. (2021). Learning-based resilience guarantee for multi-uav collaborative qos management. Pattern Recognition, page 108166.

Ballard, D. H. e Brown, C. M. (1982). Computer vision. englewood cliffs. J: Prentice Hall.

Bocklisch, T., Faulkner, J., Pawlowski, N., and Nichol, A. (2017). Rasa: Open source language understanding and dialogue management. CoRR, abs/1712.05181.

Bolstad, P. (2016). GIS fundamentals: A first text on geographic information systems. Eider (PressMinnesota).

BULEGON, H. and MORO, C. M. C. (2010). Mineração de texto e o processamento de linguagem natural em sumários de alta hospitalar.

CHEN, J.-W. et al. A smartphone-based application for scale pest detection using multiple-object detection methods. Electronics, v. 10, n. 4, p. 372, 2021.

CHIANURA, A.; GIARDINI, M. E. An electrooptical muscle contraction sensor. Medical & Biological Engineering & Computing, v. 48, n. 7, p. 731–734, jul 2010. ISSN 0140-0118. Disponível em: http://link.springer.com/10.1007/s11517-010-0626-x.

Chriki, A., Touati, H., Snoussi, H., and Kamoun, F. (2019). Fanet: Communication, mobility models and security issues. Computer Networks, 163:106877.

Coelho, A. S. (2017). Introdução a análise de dados com python e pandas. Anais Eletrônicos ENUCOMP, pages 862–876.

Coordinate reference systems. [link]. Acessado em: 10-09-2021.

CRAIG, A. B. Understanding augmented reality: Concepts and applications. [s.l.] Newnes, 2013.

Csaky, R. (2019). Deep learning based chatbot models. CoRR, abs/1908.08835.

CUNHA, F. L. da. Mão de São Carlos, uma prótese multifunção para membros superiores: um estudo dos mecanismos, atuadores e sensores. Tese (Doutorado) - Universidade de São Paulo, São Carlos, apr 2002. Disponível em: http://www.teses.usp.br/teses/disponiveis/18/18133/tde-13032006-124951/.

DA SILVA, D.; DA COSTA, C.; RIGHI, R. Um Modelo de Realidade Aumentada no âmbito do Turismo Ubíquo. Anais do VI Simpósio Brasileiro de Computação Ubíqua e Pervasiva. Anais...SBC, 2014.

DE LUCA, C. J. Surface Electromyography: detection and recording. DELSYS Incorporated, 2002. 1–10 p. Disponível em: https://www.delsys.com/downloads/TUTORIAL/semg-detection-and-recording.pdf.

de Milano, D. e Honorato, L. B. (2014). Visão computacional.

Denecke, K., Vaaheesan, S., and Arulnathan, A. (2021). A mental health chatbot for regulating emotions (sermo) concept and usability test. IEEE Transactions on Emerging Topics in Computing, 9(3):1170–1182.

Domingues, A., Silva, F., Santos, L., Souza, R., Coimbra, G., and Loureiro, A. A. F. (2020). Dados geoespaciais: Conceitos e técnicas para coleta, armazenamento, tratamento e visualização. Sociedade Brasileira de Computação.

DUBOIS, E.; NIGAY, L. Augmented Reality: Which Augmentation for Which Reality? Proceedings of DARE 2000 on Designing Augmented Reality Environments. Anais...: DARE ’00.New York, NY, USA: ACM, 2000. Disponível em: http://doi.acm.org/10.1145/354666.354695. Acesso em: 16 dez. 2014.

FERREIRA, É. L. C. Análise da interferência de ruídos e artefatos no processo de aquisiçao e processamento digital de um sinal biológico. Tese (Doutorado) - Univap, 2007.

FERREIRA, F. H. C.; ARAÚJO, R. M. Campus Inteligentes: Conceitos, aplicações, tecnologias e desafios. RelaTe-DIA, 29 jan. 2018.

FERREIRA, F. H.; ARAÚJO, R. M.; SANTOS, R. P. DOS. Perspectivas para a Implantação de Câmpus Inteligentes. Anais da Escola Regional de Sistemas de Informação do Rio de Janeiro (ERSI-RJ). Anais... In: ANAIS DA V ESCOLA REGIONAL DE SISTEMAS DE INFORMAÇÃO DO RIO DE JANEIRO. SBC, 16 out. 2018. Disponível em: https://sol.sbc.org.br/index.php/ersi-rj/article/view/4652. Acesso em: 20 out. 2021.

Fontes, R. R., Afzal, S., Brito, S. H., Santos, M. A., and Rothenberg, C. E. (2015). Mininet-wifi: Emulating software-defined wireless networks. In 2015 11th International Conference on Network and Service Management (CNSM), pages 384–389. IEEE.

Forgy, E. (1965). Cluster analysis of multivariate data: efficiency versus interpretability of classifications. Biometrics, 21:768–780.

Fu, Z., Mao, Y., He, D., Yu, J., and Xie, G. (2019). Secure multi-uav collaborative task allocation. IEEE Access, 7:35579–35587.

GEMAN, O. et al. Ubiquitous Healthcare System Based on the Sensors Network and Android Internet of Things Gateway. 2018 IEEE SmartWorld, Ubiquitous Intelligence Computing, Advanced Trusted Computing, Scalable Computing Communications, Cloud Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI). Anais... In: 2018 IEEE SMARTWORLD, UBIQUITOUS INTELLIGENCE COMPUTING, ADVANCED TRUSTED COMPUTING, SCALABLE COMPUTING COMMUNICATIONS, CLOUD BIG DATA COMPUTING, INTERNET OF PEOPLE AND SMART CITY INNOVATION (SMARTWORLD/SCALCOM/UIC/ATC/CBDCOM/IOP/SCI). out. 2018.

Ghandeharioun, A., McDuff, D., Czerwinski, M., and Rowan, K. (2019). Emma: An emotion-aware wellbeing chatbot. In 2019 8th International Conference on Affective Computing and Intelligent Interaction (ACII), pages 1–7.

GOOGLE MAPS. UFRB - Google Maps. Disponível em: https://goo.gl/maps/hF7qnQ1XCbtaMCh28. Acesso em: 18 out. 2021.

Gradilla, R. (2020). Multi-task cascaded convolutional networks (mtcnn) for face detection and facial landmark alignment. Disponível em: [link]. Acessado em: 13 de setembro de 2021.

GRUBERT, J.; GRASSET, R. Augmented reality for Android application development. [s.l.] Packt Publishing Ltd, 2013.

Gupta, J., Singh, V., and Kumar, I. (2021). Florencea health care chatbot. In 2021 7th International Conference on Advanced Computing and Communication Systems (ICACCS), volume 1, pages 504–508.

HARGROVE, L.; ENGLEHART, K.; HUDGINS, B. A Comparison of Surface and Intramuscular Myoelectric Signal Classification. IEEE Transactions on Biomedical Engineering, v. 54, n. 5, p. 847–853, may 2007. ISSN 0018-9294. Disponível em: http://ieeexplore.ieee.org/document/4154997/.

HASSAN, Z. S. Ubiquitous computing and android. 2008 Third International Conference on Digital Information Management. Anais... In: 2008 THIRD INTERNATIONAL CONFERENCE ON DIGITAL INFORMATION MANAGEMENT. nov. 2008.

HAYKIN, S. Redes neurais: princípios e prática. 2. ed. Porto Alegre: Bookman, 2001. 902 p. ISBN 978-85-7307-718-6.

Haykin, S. S., Haykin, S. S., Haykin, S. S., e Haykin, S. S. (2009). Neural networks and learning machines, volume 3. Pearson Upper Saddle River, NJ, USA:.

HII, P.-C.; CHUNG, W.-Y. A Comprehensive Ubiquitous Healthcare Solution on an AndroidTM Mobile Device. Sensors, v. 11, n. 7, p. 6799–6815, jul. 2011.

Hong, Y., Jung, S., Kim, S., and Cha, J. (2021). Autonomous mission of multi-uav for optimal area coverage. Sensors, 21(7):2482.

IEEE International Conference on Big Data (Big Data). Anais...IEEE, 2020.

INSTAGRAM. Instagram. Disponível em: https://instagram.com/. Acesso em: 11 out. 2021.

IRWANSYAH, F. S. et al. Augmented reality (AR) technology on the android operating system in chemistry learning. IOP conference series: Materials science and engineering. Anais...IOP Publishing, 2018.

JAVORNIK, A. et al. Revealing the shopper experience of using a "magic mirror" augmented reality make-up application. Conference on designing interactive systems. Anais...Association for Computing Machinery (ACM), 2016.

JEONG, D. Road Damage Detection Using YOLO with Smartphone Images. 2020

JIANG, Q. et al. Citizen Sensing for Improved Urban Environmental Monitoring. Research article. Disponível em: https://www.hindawi.com/journals/js/2016/5656245/. Acesso em: 12 dez. 2017.

Jose, E., Manikandan, G., T P, M. H., e M H, S. (2019). Face recognition based surveillance system using facenet and mtcnn on jetson tx2.

KAJI, S. et al. Augmented reality in smart cities: applications and limitations. Journal of Engineering Technology, v. 6, n. 1, p. 18, 2018.

KAN, T.-W.; TENG, C.-H.; CHOU, W.-S. Applying QR code in augmented reality applications. Proceedings of the 8th International Conference on Virtual Reality Continuum and its Applications in Industry. Anais...2009.

Kar, R. and Haldar, R. (2016a). Applying chatbots to the internet of things: Opportunities and architectural elements. International Journal of Advanced Computer Science and Applications, 7(11).

Kar, R. and Haldar, R. (2016b). Applying chatbots to the internet of things: Opportunities and architectural elements. CoRR, abs/1611.03799.

KARMEN, G.; GABRIEL, D. A. Essentials of Electromyography. United States: Human Kinetics, 2010. 256 p. ISBN 0-7360-8550-5.

Karpathy, A. (2014). Convolutional neural networks. [link].

Karve, S., Nagmal, A., Papalkar, S., and Deshpande, S. A. (2018). Context sensitive conversational agent using dnn. In 2018 Second International Conference on Electronics, Communication and Aerospace Technology (ICECA), pages 475–478.

KAVAKLI, M. A people-centric framework for mobile augmented reality systems (MARS) design: ArcHIVE 4Any. Human-centric Computing and Information Sciences, v. 5, n. 1, p. 37, 1 dez. 2015.

KEIDEL, M.; KEIDEL, W.-D. The Computer-Vibromyography as a Biometric Progress in Studying Muscle Function Die Computer-Vibromyographie Ein biometrischer Ansatz zur Messung mechanischer Muskelaktivität. Biomedizinische Technik/Biomedical Engineering, v. 34, n. 5, p. 107–116, 1989. ISSN 0013-5585. Disponível em: https://www.degruyter.com/document/doi/10.1515/bmte.1989.34.5.107/html.

KHEZRI, M.; JAHED, M. A NeuroFuzzy Inference System for sEMG-Based Identification of Hand Motion Commands. IEEE Transactions on Industrial Electronics, v. 58, n. 5, p. 1952–1960, may 2011. ISSN 0278-0046. Disponível em: http://ieeexplore.ieee.org/document/5491165/.

KO, S. M.; CHANG, W. S.; JI, Y. G. Usability principles for augmented reality applications in a smartphone environment. International Journal of Human-Computer Interaction, v. 29, n. 8, p. 501–515, 2013.

Kraus, H. (2007). Protótipo de um chatterbot para área imobiliária integrado a tecnologia de racionínio baseado em casos.

KRUEGER, E.; SCHEEREN, E. M.; NOGUEIRA-NETO, G. N.; BUTTON, V. L. d. S. N.; NOHAMA, P. Advances and perspectives of mechanomyography. Revista Brasileira de Engenharia Biomédica, v. 30, n. 4, p. 384–401, dec 2014. ISSN 1517-3151. Disponível em: https://www.scielo.br/j/rbeb/a/5mGdpfjnYY9xrntWm3G5TDj/?lang=en.

Kumar, D. (2021). Introduction to facenet: A unified embedding for face recognition and clustering. Disponível em: [link]. Acessado em: 16 de setembro de 2021.

KUMAR, S. Challenges for Ubiquitous Computing. 2009 Fifth International Conference on Networking and Services. Anais... In: 2009 FIFTH INTERNATIONAL CONFERENCE ON NETWORKING AND SERVICES. abr. 2009.

Lawhead, J. (2015). Learning geospatial analysis with Python. Packt Publishing Ltd.

LAWITZKI, P. Paul Lawitzki | software developer and game designer. Disponível em: http://plaw.info/articles/sensorfusion/#articles. Acesso em: 20 out. 2021.

LeCun, Y., Bottou, L., Bengio, Y., Haffner, P., et al. (1998). Gradient-based learning applied to document recognition. Proceedings of the IEEE, 86(11):2278–2324.

Lema, M. A., Laya, A., Mahmoodi, T., Cuevas, M., Sachs, J., Markendahl, J., and Dohler, M. (2017). Business case and technology analysis for 5g low latency applications. IEEE Access, 5:5917–5935.

Leptourgos, P. and Corlett, P. R. (2020). Embodied predictions, agence, and psychosis.

Light, M. (1998). Journal of Logic, Language, and Information, 7(1):111-114.

LIPPERT, L. S. Cinesiologia Clínica e Anatomia. 5. ed. Rio de Janeiro: Gua, 2013. 348 p. ISBN 978-85-277-2190-5.

Liu, W., Wang, Z., Liu, X., Zeng, N., Liu, Y., e Alsaadi, F. E. (2017). A survey of deep neural network architectures and their applications. Neurocomputing, 234:11–26.

Lopes, G. R., Almeida, A. W. S., Delbem, A. C., and Toledo, C. F. M. (2019). Introdução à análise exploratória de dados com python. In Minicursos ERCAS ENUCMPI 2019, pages 160–176, Porto Alegre, RS, Brasil. SBC.

MADI, N. M.; ALBAKRY, N.; IBRAHIM, N. AR Mobile Application in Learning Hajj for Children in Malaysia: A Preliminary Study. 2020.

Maldonado, J. A. V. and Cuadra, J. A. G. (2019a). Natural language interface to database using the dialogow voice recognition and text conversion api. In 2019 8th International Conference On Software Process Improvement (CIMPS), pages 1–10.

Maldonado, J. A. V. and Cuadra, J. A. G. (2019b). Natural language interface to database using the dialogow voice recognition and text conversion api. In 2019 8th International Conference On Software Process Improvement (CIMPS), pages 1–10.

Maling, D. H. (2013). Coordinate systems and map projections. Elsevier.

Mathew, R. B., Varghese, S., Joy, S. E., and Alex, S. S. (2019). Chatbot for disease prediction and treatment recommendation using machine learning. In 2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI), pages 851–856.

Mellado-Silva, R., Faúndez-Ugalde, A., and Lobos, M. B. (2020). Learning tax regulations through rules-based chatbots using decision trees: In 2020 39th International Conference of the a case study at the time of covid-19. Chilean Computer Science Society (SCCC), pages 1–8.

MERLETTI, R.; PARKER, P. Electromyography Physiology, Engineering, and Non-Invasive Applications. New Jersey: John Wiley & Sons, Inc., Hoboken, 2004. 493 p. ISBN ISBN 0-471-67580-6.

Monteiro, A. M. V., Câmara, G., Carvalho, M., and Druck, S. (2004). Análise espacial de dados geográficos. Brasília: Embrapa.

Morais, E. A. M. and Ambrósio, A. P. (2007). Mineração de textos.

Muhammad, A. F., Susanto, D., Alimudin, A., Adila, F., Assidiqi, M. H., and Nabhan, S. (2020a). Developing english conversation chatbot using dialogow. In International Electronics Symposium (IES), pages 468–475.

Muhammad, A. F., Susanto, D., Alimudin, A., Adila, F., Assidiqi, M. H., and Nabhan, S. (2020b). Developing english conversation chatbot using dialogow. In 2020 International Electronics Symposium (IES), pages 468–475.

NABILA POPAL; RYAN REITH. Smartphone Market ShareSmartphone Market Share, 29 jul. 2021. Disponível em: https://www.idc.com/promo/smartphone-marketshare/os. Acesso em: 23 set. 2020

Nguyen, T. and Shcherbakov, M. (2018). A neural network based vietnamese chatbot. In 2018 International Conference on System Modeling Advancement in Research Trends (SMART), pages 147–149.

ORIZIO, C.; PERINI, R.; VEICSTEINAS, A. Muscular sound and force relationship during isometric contraction in man. European Journal of Applied Physiology and Occupational Physiology, v. 58, n. 5, p. 528–533, mar 1989. ISSN 0301-5548. Disponível em: http://link.springer.com/10.1007/BF02330708.

Pacheco, C. and Pereira, N. (2018). Deep learning conceitos e utilização nas diversas Áreas do conhecimento. 2:34–49.

PATEL, B. R.; RANA, K. K. A Survey on Decision Tree Algorithm For Classification. IJEDR, v. 2, n. 1, p. 2321–9939, 2014. Disponível em: https://www.ijedr.org/papers/IJEDR1401001.pdf.

PEIXOTO, A. M. Aquisição de sinais EMG da região do antebraço para uso em róteses mioelétricas: contexto, experimentos e definição de um protocolo. 105 p. Tese (Doutorado) - SENAI CIMATEC, 2021.

Pereira, D. S., De Morais, M. R., Nascimento, L. B., Alsina, P. J., Santos, V. G., Fernandes, D. H., and Silva, M. R. (2020). Zigbee protocol-based communication network for multi-unmanned aerial vehicle networks. IEEE Access, 8:57762–57771.

Pérez-Soler, S., Guerra, E., and de Lara, J. (2021). Creating and migrating chatbots with conga. In 2021 IEEE/ACM 43rd International Conference on Software Engineering: Companion Proceedings (ICSE-Companion), pages 37–40.

Pimentel, J. F., Oliveira, G. P., Silva, M. O., Seufitelli, D. B., and Moro, M. M. (2021). Ciência de dados com reprodutibilidade usando jupyter. Sociedade Brasileira de Computação.

PINTO, F. S.; CENTENO, J. A. S. A realidade aumentada em smartphones na exploração de informações estatísticas e cartográficas. Boletim de Ciências Geodésicas, v. 18, p. 282–301, 2012.

PIYARE, R. Internet of Things, Smart Home, Home Automation, Android Smartphone, Arduino. Internet of Things, p. 7, 2013.

Pokémon GO. Disponível em: https://pokemongolive.com/. Acesso em: 11 out. 2021.

POSLAD, S. Ubiquitous Computing: Smart Devices, Environments and Interactions. 1a edição ed. Chichester, U.K: John Wiley & Sons Inc, 2009.

POZZO, M. Electromyography (EMG), Electrodes and Equipment for. In: Wiley Encyclopedia of Biomedical Engineering. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2006. Disponível em: http://doi.wiley.com/10.1002/9780471740360.ebs1425.

Ramchoun, H., Amine, M., Janati Idrissi, M. A., Ghanou, Y., e Ettaouil, M. (2016). Multilayer perceptron: Architecture optimization and training. International Journal of Interactive Multimedia and Artificial Inteligence, 4:26–30.

Ramchoun, H., Idrissi, M. A. J., Ghanou, Y., e Ettaouil, M. (2017). Multilayer perceptron: Architecture optimization and training with mixed activation functions. Em Proceedings of the 2nd International Conference on Big Data, Cloud and Applications, BDCA’17, New York, NY, USA. Association for Computing Machinery.

RASHID, Z. et al. Using Augmented Reality and Internet of Things to improve accessibility of people with motor disabilities in the context of Smart Cities. Future Generation Computer Systems, v. 76, p. 248–261, 1 nov. 2017.

RAUSCHNABEL, P. A.; ROSSMANN, A.; TOM DIECK, M. C. An adoption framework for mobile augmented reality games: The case of Pokémon Go. Computers in Human Behavior, v. 76, p. 276–286, 2017.

Rehman, S. U., Turletti, T., and Dabbous, W. (2010). Benchmarking in wireless networks.

REID, S. E. et al. Pervasive Mobile Services for Active Aging: An Exploratory Investigation into the Relationship Between Willingness-to-Adopt Mobile Devices and Shopping Experience. SpringerLink. Anais... In: INTERNATIONAL CONFERENCE ON SMART HOMES AND HEALTH TELEMATICS. Springer, Cham, 25 maio 2016. Disponível em: [link]. Acesso em: 22 abr. 2017

RODELLO, I. A.; BREGA, J. R. F. Realidade virtual e aumentada em ações de marketing. Realidade Virtual e Aumentada: Aplicações e Tendências, v. 1, p. 44–57, 2011.

ROLIM, C. O. et al. An Ubiquitous Service-Oriented Architecture for Urban Sensing. SpringerLink, p. 1–10, 2015.

Rooban, S., Suraj, S. D., Vali, S. B., and Dhanush, N. (2021). Coppeliasim: Adaptable modular robot and its different locomotions simulation framework. Materials Today: Proceedings.

Rosa, R. and BRITO, J. L. S. (2013). Introdução ao geoprocessamento. UFU: Apostila. Uberlândia.

RUAN, K.; JEONG, H. An augmented reality system using Qr code as marker in android smartphone. 2012 Spring Congress on Engineering and Technology. Anais...IEEE, 2012.

Sabharwal, N., Barua, S., Anand, N., and Aggarwal, P. (2019). Developing Cognitive Bots Using the IBM Watson Engine.

Salvi, S., Geetha, V., and Sowmya Kamath, S. (2019). Jamura: A conversational smart home assistant built on telegram and google dialogow. In TENCON 2019 2019 IEEE Region 10 Conference (TENCON), pages 1564–1571.

Santos, R. E. S., Neto, J. S. C., Souza, E. P. R., Magalhães, C. V. C., and Vilar, G. (2014). Técnicas de processamento de linguagem natural aplicadas ao processamento de mineração de textos: Resultados preliminares de mapeamento sistemático. revista de sistemas e computação.

Santos, V. G., Pereira, D. S., Alsina, P., Fernandes, D. H., Nascimento, L. B., Leite, D. L., Morais, M. R., Silva, M. R., and Souza, E. S. (2019). Multi-uav system architecture for environmental protection area monitoring. In Proc. Anais do Simpósio Brasileiro de Automação Inteligente, pages 1–6.

Schroff, F., Kalenichenko, D., e Philbin, J. (2015). Facenet: A unified embedding for face recognition and clustering. Em Proceedings of the IEEE conference on computer vision and pattern recognition, páginas 815–823.

Selvaraju, S. P., Balador, A., Fotouhi, H., Vahabi, M., and Bjorkman, M. (2021). Network management in heterogeneous iot networks. In 2021 International Wireless Communications and Mobile Computing (IWCMC), pages 1581–1586. IEEE.

SHANMUGAPRIYA, M. Designing an M-Learning Application for a Ubiquitous Learning Environment in the Android Based Mobile Devices Using Web Services, 2011.

SHARMA, H.; KUMAR, S. A Survey on Decision Tree Algorithms of Classification in Data Mining. International Journal of Science and Research (IJSR), v. 5, 2016. Disponível em: https://www.researchgate.net/publication/324941161.

Shen, H. (2014). Interactive notebooks: Sharing the code. Nature News, 515(7525):151.

Silva, M. R., Souza, E. S., Alsina, P. J., Leite, D. L., Morais, M. R., Pereira, D. S., Nascimento, L. B., Medeiros, A. A., Junior, F. H. C., Nogueira, M. B., et al. (2019). Performance evaluation of multi-uav network applied to scanning rocket impact area. Sensors, 19(22):4895.

Softíc, A., Husíc, J. B., Softíc, A., and Barakovíc, S. (2021). Health In 2021 20th chatbot: Design, implementation, acceptance and usage motivation. International Symposium INFOTEH-JAHORINA (INFOTEH), pages 1–6.

STEGEMAN, D. F.; HERMENS, H. J. Standards for surface electromyography: the european project surface emg for non-invasive assessment of muscles (seniam). p. 108–112, 2007.

Strobl, C. (2008). Dimensionally extended nine-intersection model (de9im).

TAMEE, K.; CHAIWONG, K.; YOTHAPAKDEE, K.; YUPAPIN, P. P. Muscle sensor model using small scale optical device for pattern recognitions. (Research Article). The Scientific World Journal, v. 13, 2013. ISSN 1537-744X.

TAROUCO, L. M. R. et al. Internet das Coisas na Educação trajetória para um campus inteligente. Anais dos Workshops do Congresso Brasileiro de Informática na Educação, v.6, n.1, p.1220, 27 out. 2017.

TENSORFLOW COMMUNITY. TensorFlow Lite Object Detection Android Demo. Disponível em: https://github.com/tensorflow/examples. Acesso em: 16 out. 2021.

TURING, A. M. (1950). I. - COMPUTING MACHINERY AND INTELLIGENCE. Mind, LIX(236):433–460.

TZUTALIN. LabelImg. [s.l: s.n.].

von Rueden, L., Mayer, S., Beckh, K., Georgiev, B., Giesselbach, S., Heese, R., Kirsch, B., Walczak, M., Pfrommer, J., Pick, A., Ramamurthy, R., Garcke, J., Bauckhage, C., and Schuecker, J. (2021). Informed machine learning a taxonomy and survey of integrating prior knowledge into learning systems. IEEE Transactions on Knowledge and Data Engineering, pages 1–1.

Wang, S.-Y., Chou, C.-L., and Yang, C.-M. (2013). Estinet openow network simulator and emulator. IEEE Communications Magazine, 51(9):110–117.

Wang, X., Yang, L. T., Meng, D., Dong, M., Ota, K., and Wang, H. (2021). Multi-uav cooperative localization for marine targets based on weighted subspace fitting in sagin environment. IEEE Internet of Things Journal.

WATAKABE, M.; MITA, K.; AKATAKI, K.; ITOH, Y. Mechanical behaviour of condenser microphone in mechanomyography. Medical & Biological Engineering & Computing, v. 39, n. 2, p. 195–201, mar 2001. ISSN 0140-0118. Disponível em: http://link.springer.com/10.1007/BF02344804.

WEISER, M. The Computer for the 21st Century. SIGMOBILE Mob. Comput. Commun. Rev., v. 3, n. 3, p. 3–11, jul. 1999.

Weizenbaum, J. (1966). Eliza - a computer program for the study of natural language communication between man and machine. Commun. ACM, 9(1):36–45.

WHO, W. H. O. (2021). Coronavirus disease (covid-19) outbreak situation. Disponível em: https://www.who.int/emergencies/diseases/novel-coronavirus-2019. Acessado em: 12 de setembro de 2021.

WIBOWO, A.; HARTANTO, C. A.; WIRAWAN, P. W. Android skin cancer detection and classification based on MobileNet v2 model. International Journal of Advances in Intelligent Informatics, v. 6, n. 2, p. 135–148, 2020.

YOTHAPAKDEE, K.; P.YUPAPIN, P.; TAMEE, K. Facial Gesture Measurement Using Optical Muscle Sensing System. Nano Biomedicine and Engineering, v. 7, n. 4, jan 2016. ISSN 2150-5578. Disponível em: http://nanobe.org/Data/View/268?type=100.

Youm, S. and Kim, E.-J. (2013). Latency and jitter analysis for ieee 802.11 e wireless lans. Journal of Applied Mathematics, 2013.

YOUNIS, A. et al. Real-time object detection using pre-trained deep learning models MobileNet-SSD. Proceedings of 2020 the 6th International Conference on Computing and Data Engineering. Anais...2020.

ZADEH, L. Fuzzy sets. Information and Control, v. 8, n. 3, p. 338–353, jun 1965. ISSN 00199958. Disponível em: https://linkinghub.elsevier.com/retrieve/pii/S001999586590241X.

Zhang, K., Zhang, Z., Li, Z., e Qiao, Y. (2016). Joint face detection and alignment using multitask cascaded convolutional networks. IEEE Signal Processing Letters, 23(10):1499–1503.

Zheng, Y., Capra, L., Wolfson, O., and Yang, H. (2014). Urban computing: concepts, methodologies, and applications. ACM Transactions on Intelligent Systems and Technology (TIST), 5(3):1–55.

ZHOU, F.; DUH, H. B.-L.; BILLINGHURST, M. Trends in augmented reality tracking, interaction and display: A review of ten years of ISMAR. 2008 7th IEEE/ACM International Symposium on Mixed and Augmented Reality. Anais... In: 2008 7TH IEEE/ACM INTERNATIONAL SYMPOSIUM ON MIXED AND AUGMENTED REALITY. set. 2008.