Design and Development of Efficient Energy Systems. Группа авторов
Читать онлайн книгу.
on Advanced Video and Signal Based Surveillance (AVSS), IEEE, P. 1–6, 2018.
22. T. Leppänen and J. Riekki, Energy Efficient Opportunistic Edge Computing for the Internet of Things. Web Intelligence and Agent Systems. Vol. 17(3). 2018.
23. S. Madakam, R. Ramaswamy and Tripathi, Internet of Things (IoT): A Literature Review, Journal of Computer and Communications, Vol. 3, P. 164-173, 2015.
24. Y. Mao. C. You, J. Zhang, K. Huang and K.B. Letaief, A Survey on Mobile Edge Computing: The Communication Perspective. IEEE Communications Surveys & Tutorials, P. 9, 2017.
25. K. Matthews, 6 Exciting IoT Use Cases in Healthcare, IoTforall, https://www.iotforall.com/exciting-iot-use-cases-in-healthcare/, 2020.
26. P. Miller, What is edge computing?, The Verge, https://www.theverge.com/circuit-breaker/2018/5/7/17327584/edge-computing-cloud-google-microsoft-apple-amazon, 2018.
27. J. Mocnej, M. Miškuf, P. Papcun, I. Zolotová, Impact of Edge Computing Paradigm on Energy Consumption in IoT, IFAC-PapersOnLine, Elsevier, Vol. 51(6), P. 162-167, 2018.
28. N. Moghim and D.W. Corne, Predicting epileptic seizures in advance, PLoS ONE, Vol. 9(6), Article ID e99334, 2014.
29. J. Ocampos, The Future of IoT in 2020, Ingeniumweb, https://www.ingeniumweb.com/blog/post/the-future-of-iot-in-2020/4924/, 2020.
30. R. Parikh and V. Chemitiganti, Edge Computing: Challenges and Opportunities, Platform 9, https://platform9.com/blog/edge-computing-challenges-and-opportunities/, 2019.
31. S. Pinto, J. Cabral, T. Gomes, We-Care: An IoT-based Health Care System for Elderly People, IEEE, P 1378 – 1383, 2017.
32. A. Qayyum, J. Qadir, M. Bilal, and A. Al-Fuqaha, Secure and Robust Machine Learning for Healthcare: A Survey, arXiv: 2001.08103v1 [cs.LG], 2020.
33. J.P. Queralta, T.N. Gia, H. Tenhunen, T. Westerlund, Edge-AI in LoRa-based health monitoring: fall detection system with fog computing and LSTM recurrent neural networks. 42nd International Conference on Telecommunications and Signal Processing (TSP). IEEE, P. 601–604, 2019.
34. P. Raj and, J. Pushpa, Expounding the edge/fog computing infrastructures for data science, In Handbook of Research on Cloud and Fog Computing Infrastructures for Data Science, IGI Global, P. 1–32, 2018.
35. A. Shrimali, Influence of IoT Maturity Model in New Digital Era, DZone, https://dzone.com/articles/influence-of-iot-maturity-model-in-new-digital-wor, 2019.
36. I. Sittón-Candanedo, R.S. Alonso, Ó. García, A.B. Gil, and S. Rodríguez-González, A Review on Edge Computing in Smart Energy by means of a Systematic Mapping Study, Electronics 2020, Vol. 9(1), P. 48, 2019.
37. T. Taleb, K. Samdanis, B. Mada, H. Flinck, S. Dutta and D. Sabella, On Multi-Access Edge Computing: A Survey of the Emerging 5G Network Edge Cloud Architecture and Orchestration, IEEE Communications Surveys and Tutorials, Vol. 19(3), P. 1657 - 1681, 2017.
38. S. Tofiq and M. Mohammadi, Epileptic Seizure Detection using Deep Learning Approach, UHD Journal of Science and Technology, Vol. 3(41), P. 41-50, 2019.
39. A. Toor, S. ul Islam, G. Ahmed, S. Jabbar, S. Khalid and A.M. Sharif, Energy efficient edge-of things, EURASIP Journal of Wireless Communication Network, Vol. 2019(1), P. 82, 2019.
40. S. Taherizadeh, A.C. Jones, I. Taylor, Z. Zhao and V. Stankovski, Monitoring self-adaptive applications within edge computing frameworks: A state-of-the-art review, Journal of Systems and Software, Vol. 136, P. 19-38, 2018.
41. The Benefits of Edge Computing vs. Cloud Computing, https://www.rcn.com/business/insights-and-news/insights-articles/edge-computing-vs-cloud-computing/, 2020.
42. S.M. Usman, M. Usman and S. Fong, Epileptic Seizures Prediction Using Machine Learning Methods, Comput. Math Methods Med. 2017, doi: https://doi.org/10.1155/2017/9074759.
43. V. Vippalapalli and S. Ananthula, Internet of things (IoT) based Smart Health Care System, International Conference on Signal Processing, Communication, Power and Embedded System (SCOPES), P. 1229 – 1233, 2016.
44. H. Zhangi, F. Guo and H. Ji, Combinational Auction-Based Service Provider Selection in Mobile Edge Computing Networks, Special Section on Emerging Trends, Issues and Challenges in Energy-Efficient Cloud Computing, IEEE Access, Vol. 5. P. 13455-13464, 2017.
*Corresponding author: [email protected]
†Corresponding author: [email protected]
Конец ознакомительного фрагмента.
Текст предоставлен ООО «ЛитРес».
Прочитайте эту книгу целиком, купив полную легальную версию на ЛитРес.
Безопасно оплатить книгу можно банковской картой Visa, MasterCard, Maestro, со счета мобильного телефона, с платежного терминала, в салоне МТС или Связной, через PayPal, WebMoney, Яндекс.Деньги, QIWI Кошелек, бонусными картами или другим удобным Вам способом.