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Dimitris Mpouziotas, Jeries Besharat, Ioannis G. Tsoulos and Chrysostomos Stylios
AliAmvra is a project developed to explore and promote high-quality catches of the Amvrakikos Gulf (GP) to Artas? wider regions. In addition, this project aimed to implement an integrated plan of action to form a business identity with high added value a...
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Michael Tetteh, Allan de Lima, Jack McEllin, Aidan Murphy, Douglas Mota Dias and Conor Ryan
Grammatical Evolution is a Genetic Programming variant which evolves problems in any arbitrary language that is BNF compliant. Since its inception, Grammatical Evolution has been used to solve real-world problems in different domains such as bio-informat...
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Evangelos D. Spyrou, Ioannis Tsoulos and Chrysostomos Stylios
Software-Defined Networking (SDN) stands as a pivotal paradigm in network implementation, exerting a profound influence on the trajectory of technological advancement. The critical role of security within SDN cannot be overstated, with distributed denial...
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Ioannis G. Tsoulos, Alexandros Tzallas and Evangelos Karvounis
Radial basis function networks are widely used in a multitude of applications in various scientific areas in both classification and data fitting problems. These networks deal with the above problems by adjusting their parameters through various optimiza...
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Evangelos D. Spyrou, Chrysostomos Stylios and Ioannis Tsoulos
Air pollution is a pressing concern in urban areas, necessitating the critical monitoring of air quality to understand its implications for public health. Internet of Things (IoT) devices are widely utilized in air pollution monitoring due to their senso...
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Gauri Vaidya, Meghana Kshirsagar and Conor Ryan
Neural networks have revolutionised the way we approach problem solving across multiple domains; however, their effective design and efficient use of computational resources is still a challenging task. One of the most important factors influencing this ...
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Ioannis G. Tsoulos
This paper presents and analyzes a programming tool that implements a method for classification and function regression problems. This method builds new features from existing ones with the assistance of a hybrid algorithm that makes use of artificial ne...
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Ioannis G. Tsoulos
In the current work, a novel method is presented for generating rules for data classification as well as for regression problems. The proposed method generates simple rules in a high-level programming language with the help of grammatical evolution. The ...
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Katerina D. Tzimourta, Ioannis Tsoulos, Thanasis Bilero, Alexandros T. Tzallas, Markos G. Tsipouras and Nikolaos Giannakeas
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Li Chen, Chih-Hung Tan, Shuh-Ji Kao, Tai-Sheng Wang
Pág. 296 - 306
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