Zobrazeno 1 - 10
of 1 044
pro vyhledávání: '"MAMALIS P"'
Autor:
Mamalis, Basilis, Gerakidis, Sergios
Publikováno v:
International Journal of Computer Applications (IJCA), Vol. 186, No. 2, pp. 33-41, 2024
Wireless Sensor Networks (WSN) and Vehicular Ad-hoc Networks (VANET) have been extensively used in IoT applications for environmental monitoring, especially in rural and agricultural areas. In this paper we present a novel combined approach which use
Externí odkaz:
http://arxiv.org/abs/2411.10560
Autor:
Mamalis, Basilis, Perlitis, Marios
Publikováno v:
International Journal of Computer Applications (IJCA), Vol. 184, No. 40, pp. 41-48, 2022
The rapid and convenient provision of the available computing resources is a crucial requirement in modern cloud computing environments. However, if only the execution time is taken into account when the resources are scheduled, it could lead to imba
Externí odkaz:
http://arxiv.org/abs/2311.07004
Autor:
Mamalis, Basilis, Perlitis, Marios
Publikováno v:
International Journal of Emerging Technology and Advanced Engineering, Volume 12, Issue 03, March 2022
The simplex algorithm has been successfully used for many years in solving linear programming (LP) problems. Due to the intensive computations required (especially for the solution of large LP problems), parallel approaches have also extensively been
Externí odkaz:
http://arxiv.org/abs/2211.10979
Autor:
Aikaterini Karampatea, Spyridon Mamalis, Elisavet Bouloumpasi, Adriana Skendi, Irene (Eirini) Kamenidou
Publikováno v:
Tourism and Hospitality, Vol 5, Iss 3, Pp 625-638 (2024)
Drama is a wine region in northern Greece with a local economy based on agricultural production. Despite its historical and geographical setting, the wine tourism industry is not very well developed in the wine-growing region of Drama. Although the s
Externí odkaz:
https://doaj.org/article/3a3b4f3d7dcf41c9ad8ffbd68f48048e
Autor:
Konstantinos Pitsikakis MD, Diederick DeJong MBBCh, PhD, MSc, Konstantinos Kitsos-Kalyvianakis MD, Marios Evangelos Mamalis BA, MSc, Michela Quaranta MBChB, MRCOG, MD, Aishath Shavee MBChB, Alina Wahab MBChB, Amudha Thangavelu MBChB, MRCOG, MD, Timothy Broadhead MBChB, MRCOG, MD, David Nugent MBChB, MRCOG, MD, Evangelos Kalampokis BA, PhD, Alexandros Laios MD, PhD, Postdoc(Ox)
Publikováno v:
Cancer Control, Vol 31 (2024)
Background Cytoreductive surgery is critical for optimal tumor clearance in advanced epithelial ovarian cancer (EOC). Despite best efforts, some patients may experience R2 (>1 cm) resection, while others may not undergo surgery at all. We aimed to co
Externí odkaz:
https://doaj.org/article/18d2a09d9006480f9a0ce507d17a1dc6
Publikováno v:
International Journal of Computer Applications (IJCA), Vol. 174, No. 15, pp. 13-21, 2021
Document clustering is a traditional, efficient and yet quite effective, text mining technique when we need to get a better insight of the documents of a collection that could be grouped together. The K-Means algorithm and the Hierarchical Agglomerat
Externí odkaz:
http://arxiv.org/abs/2112.00200
Large-scale optimization problems require algorithms both effective and efficient. One such popular and proven algorithm is Stochastic Gradient Descent which uses first-order gradient information to solve these problems. This paper studies almost-sur
Externí odkaz:
http://arxiv.org/abs/2110.12634
In this work, multiplicative stochasticity is applied to the learning rate of stochastic optimization algorithms, giving rise to stochastic learning-rate schemes. In-expectation theoretical convergence results of Stochastic Gradient Descent equipped
Externí odkaz:
http://arxiv.org/abs/2110.10710
Autor:
Mamalis, Basilis, Perlitis, Marios
Publikováno v:
International Journal of Advanced Computer Science and Applications, Vol. 10, No. 12, 2019
Organizing sensor nodes in clusters is an effective method for energy preservation in a Wireless Sensor Network (WSN). Throughout this research work we present a novel hybrid clustering scheme, that combines a typical gradient clustering protocol wit
Externí odkaz:
http://arxiv.org/abs/2012.02536
Spreading and retraction dynamics of sessileevaporating droplets comprising volatile binary mixtures
The dynamics of thin volatile droplets comprising of binary mixtures deposited on a heated substrate are investigated. Using lubrication theory, we develop a novel one-sided model to predict the spreading and retraction of an evaporating sessile axis
Externí odkaz:
http://arxiv.org/abs/2009.10419