Zobrazeno 1 - 10
of 119
pro vyhledávání: '"Polychronis Koutsakis"'
Publikováno v:
IEEE Access, Vol 10, Pp 85701-85719 (2022)
Small-to-medium sized businesses (SMBs) constitute a large fraction of many countries’ economies but according to the literature SMBs are not adequately implementing cyber security which leaves them susceptible to cyber-attacks. Furthermore, resear
Externí odkaz:
https://doaj.org/article/52a8d34e01154375a6b1dfd487ff1fd5
Publikováno v:
Computer Communications. 184:149-159
Publikováno v:
International Journal of Intelligent Systems. 37:4561-4585
Deep learning (DL) has achieved superior classification in many applications due to its capability of extracting features from the data. However, the success of DL comes with the tradeoff of possible overfitting. The bias towards the data it has seen
Autor:
Khandu Om, Randeep Singh, null Snehdeep, Amandeep Kaur, null Deepika, Anureet Kaur, Tanya McGill, Michael Dixon, Kok Wai Wong, Polychronis Koutsakis
Publikováno v:
Simulation Modelling Practice and Theory. 121:102650
Autor:
Elaine Holmes, Catherine Itsiopoulos, Demosthenes B. Panagiotakos, Polychronis Koutsakis, Dimitra Papamichou, Ruey Leng Loo, Hariklia Katsoulotos
Publikováno v:
Nutrition, metabolism, and cardiovascular diseases : NMCD. 32(1)
Background and Aims Substantial scientific evidence supports the effectiveness of a Mediterranean diet (MedDiet) in managing type 2 diabetes mellitus (T2DM). Potential benefits of time restricted feeding (TRF) in T2DM are unknown. The MedDietFast tri
Publikováno v:
IEEE Communications Magazine. 57:68-73
Recently, street furniture, including bins, seats, and bus shelters, has become smart as it has been equipped with environmental sensors, wireless modules, processors, and microcontrollers. Accordingly, smart furniture is expected to become a vital p
Publikováno v:
Human-Centric Computing and Information Sciences, Vol 8, Iss 1, Pp 1-17 (2018)
Recommender systems are most often used to predict possible ratings that a user would assign to items, in order to find and propose items of possible interest to each user. In our work, we are interested in a system that will analyze user preferences
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030923068
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c49e3351bce402e9e2ff3e72b0b60d21
https://doi.org/10.1007/978-3-030-92307-5_73
https://doi.org/10.1007/978-3-030-92307-5_73
Autor:
Kok Wai Wong, Khandu Om, Polychronis Koutsakis, Michael Dixon, Spyros Boukoros, Tanya McGill, Anupiya Nugaliyadde
Publikováno v:
Human-Centric Computing and Information Sciences, Vol 10, Iss 1, Pp 1-16 (2020)
Analysis of time series data has been a challenging research subject for decades. Email traffic has recently been modelled as a time series function using a Recurrent Neural Network (RNN) and RNNs were shown to provide higher prediction accuracy than
Publikováno v:
IEEE Transactions on Multimedia. 20:171-182
Summarization: The explosive growth of multimedia applications renders the efficiency of network resource allocation a problem of major importance. The burstiness of video traffic, in particular, calls for traffic control solutions that will help pre