Plagianakos, V; Sotiropoulos, Dimitris; Vrahatis, Michael An improved backpropagation method with adaptive learning rate unknown 1998. Plagianakos, V; Sotiropoulos, Dimitris; Vrahatis, Michael Integer weight training by differential evolution algorithms Book Chapter In: pp. 327-331, 1998, ISBN: 981-02-3644-1. Links | BibTeX | Tags: Algorithms "Dimitrios, Myridakis; Georgios, Spathoulas; Athanasios, Kakarountas; Schoinianakis, Dimitrios; Lueken, Joachim" "Mimicking Biometrics on Smart Devices and Its Application in IoT Security for Health Systems" Book Chapter In: "Gupta, Nishu; Paiva, Sara" (Ed.): "IoT and ICT for Healthcare Applications", pp. "175–189", "Springer International Publishing", "Cham", 0000, ISBN: "978-3-030-42934-8". Abstract | Links | BibTeX | Tags: Anomaly Detection, biometrics, Hardware Security, Health Applications, Intrusion Detection, IoT, Smart Device "Boumpa, Eleni; Kakarountas, Athanasios" "Home Supporting Smart Systems for Elderly People" Book Chapter In: "Paiva, Sara; Paul, Suman" (Ed.): "Convergence of ICT and Smart Devices for Emerging Applications", pp. "81–98", "Springer International Publishing", "Cham", 0000, ISBN: "978-3-030-41368-2". Abstract | Links | BibTeX | Tags: Healthcare, Smart Home "Boumpa, Eleni; Kakarountas, Athanasios" "Home Supporting Smart Systems for Elderly People" Book Chapter In: "Paiva, Sara; Paul, Suman" (Ed.): "Convergence of ICT and Smart Devices for Emerging Applications", pp. "81–98", "Springer International Publishing", "Cham", 0000, ISBN: "978-3-030-41368-2". Abstract | Links | BibTeX | Tags: Healthcare, Smart Home Plagianakos, V P; Magoulas, G D; Vrahatis, M N Improved Learning of Neural Nets Through Global Search Book Section In: Global Optimization, pp. 361–388, Springer US, 0000. Links | BibTeX | Tags: Algorithms, Neural Networks
1998
@unknown{unknown,
title = {An improved backpropagation method with adaptive learning rate},
author = {V Plagianakos and Dimitris Sotiropoulos and Michael Vrahatis},
doi = {10.13140/2.1.1941.3441},
year = {1998},
date = {1998-01-01},
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pubstate = {published},
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@inbook{inbookb,
title = {Integer weight training by differential evolution algorithms},
author = {V Plagianakos and Dimitris Sotiropoulos and Michael Vrahatis},
doi = {10.13140/2.1.2061.1520},
isbn = {981-02-3644-1},
year = {1998},
date = {1998-01-01},
pages = {327-331},
keywords = {Algorithms},
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0000
@inbook{Dimitrios2020b,
title = {"Mimicking Biometrics on Smart Devices and Its Application in IoT Security for Health Systems"},
author = {Myridakis "Dimitrios and Spathoulas Georgios and Kakarountas Athanasios and Dimitrios Schoinianakis and Joachim" Lueken},
editor = {Nishu "Gupta and Sara" Paiva},
url = {"https://doi.org/10.1007/978-3-030-42934-8_10"},
doi = {"10.1007/978-3-030-42934-8_10"},
isbn = {"978-3-030-42934-8"},
booktitle = {"IoT and ICT for Healthcare Applications"},
pages = {"175--189"},
publisher = {"Springer International Publishing"},
address = {"Cham"},
abstract = {"The Internet of Things (IoT) encompasses cyber and physical objects in multidisciplinary applications such as home automation, industrial process, environmental monitoring, and human health, to mention a few. Especially the latter systems have seen rapid growth in hospitals and health centers over the last decade. The wireless healthcare monitoring devices of various technologies are presenting global interest, since they offer valuable health metrics to users and physicians and also they are easy to use on a day-to-day basis. This chapter refers to security issues associated to IoT devices in general and how a technique of bio-mimicking on smart devices may reveal potential attacks or malfunctions. The case of systems for healthcare and health monitoring is considered, in order to highlight the techniques' benefits in this topic. The approach is bio-inspired by human biometrics and adopted to fit the cyber world, referring to a device's state; specifically the paradigm of side channel attack is exploited. This introduces the notion that to secure devices for healthcare, the designer has to consider the ``health status'' of the device itself. Taking into consideration that these devices are limited by their functionality and functional characteristics, it is expected that any deviation from the expected normal operation would result in a similar deviation in any operational parameter."},
keywords = {Anomaly Detection, biometrics, Hardware Security, Health Applications, Intrusion Detection, IoT, Smart Device},
pubstate = {published},
tppubtype = {inbook}
}
@inbook{Boumpa2020,
title = {"Home Supporting Smart Systems for Elderly People"},
author = {Eleni "Boumpa and Athanasios" Kakarountas},
editor = {Sara "Paiva and Suman" Paul},
url = {"https://doi.org/10.1007/978-3-030-41368-2_4"},
doi = {"10.1007/978-3-030-41368-2_4"},
isbn = {"978-3-030-41368-2"},
booktitle = {"Convergence of ICT and Smart Devices for Emerging Applications"},
pages = {"81--98"},
publisher = {"Springer International Publishing"},
address = {"Cham"},
abstract = {"Smart devices are becoming more and more, over time, familiar tools to our lives. This, coupled with the need to support elderly people in their daily routine and their desire for aging-in-place, has led researchers to explore and develop solutions to support them in their home. Nowadays, it is common for smart devices, smart systems, and wearable devices to assist elderly people carrying out a number of their day-to-day activities, keeping their social lives active, and monitoring their health and well-being. In this chapter, smart devices and systems that have been proposed for supporting the elderly in their home environment will be presented. Special effort was given to present in detail each work, in order to assist anyone, who reads this chapter, to understand not only the historical evolution of the research topic but also the milestones and the breakthrough research results. Also, the technologies that have been used for the development of the respective systems, as well as the techniques for interacting and assisting the elderly, are reported. Concluding, this chapter serves as a survey for every researcher who wants to understand and research in the topic of smart home monitoring for the elders."},
keywords = {Healthcare, Smart Home},
pubstate = {published},
tppubtype = {inbook}
}
@inbook{Boumpa2020b,
title = {"Home Supporting Smart Systems for Elderly People"},
author = {Eleni "Boumpa and Athanasios" Kakarountas},
editor = {Sara "Paiva and Suman" Paul},
url = {"https://doi.org/10.1007/978-3-030-41368-2_4"},
doi = {"10.1007/978-3-030-41368-2_4"},
isbn = {"978-3-030-41368-2"},
booktitle = {"Convergence of ICT and Smart Devices for Emerging Applications"},
pages = {"81--98"},
publisher = {"Springer International Publishing"},
address = {"Cham"},
abstract = {"Smart devices are becoming more and more, over time, familiar tools to our lives. This, coupled with the need to support elderly people in their daily routine and their desire for aging-in-place, has led researchers to explore and develop solutions to support them in their home. Nowadays, it is common for smart devices, smart systems, and wearable devices to assist elderly people carrying out a number of their day-to-day activities, keeping their social lives active, and monitoring their health and well-being. In this chapter, smart devices and systems that have been proposed for supporting the elderly in their home environment will be presented. Special effort was given to present in detail each work, in order to assist anyone, who reads this chapter, to understand not only the historical evolution of the research topic but also the milestones and the breakthrough research results. Also, the technologies that have been used for the development of the respective systems, as well as the techniques for interacting and assisting the elderly, are reported. Concluding, this chapter serves as a survey for every researcher who wants to understand and research in the topic of smart home monitoring for the elders."},
keywords = {Healthcare, Smart Home},
pubstate = {published},
tppubtype = {inbook}
}
@incollection{Plagianakosn,
title = {Improved Learning of Neural Nets Through Global Search},
author = {V P Plagianakos and G D Magoulas and M N Vrahatis},
url = {https://doi.org/10.1007%2F0-387-30927-6_15},
doi = {10.1007/0-387-30927-6_15},
booktitle = {Global Optimization},
pages = {361--388},
publisher = {Springer US},
keywords = {Algorithms, Neural Networks},
pubstate = {published},
tppubtype = {incollection}
}
Integer weight training by differential evolution algorithms Book Chapter In: pp. 327-331, 1998, ISBN: 981-02-3644-1. "Mimicking Biometrics on Smart Devices and Its Application in IoT Security for Health Systems" Book Chapter In: "Gupta, Nishu; Paiva, Sara" (Ed.): "IoT and ICT for Healthcare Applications", pp. "175–189", "Springer International Publishing", "Cham", 0000, ISBN: "978-3-030-42934-8". "Home Supporting Smart Systems for Elderly People" Book Chapter In: "Paiva, Sara; Paul, Suman" (Ed.): "Convergence of ICT and Smart Devices for Emerging Applications", pp. "81–98", "Springer International Publishing", "Cham", 0000, ISBN: "978-3-030-41368-2". "Home Supporting Smart Systems for Elderly People" Book Chapter In: "Paiva, Sara; Paul, Suman" (Ed.): "Convergence of ICT and Smart Devices for Emerging Applications", pp. "81–98", "Springer International Publishing", "Cham", 0000, ISBN: "978-3-030-41368-2". Improved Learning of Neural Nets Through Global Search Book Section In: Global Optimization, pp. 361–388, Springer US, 0000.
1998
0000
