Faculty of Engineering and Technology

engi.jpg picture
Organization name
Faculty of Engineering and Technology
Description
Our Faculty consists of three Departments: Electrical Engineering and Computer Engineering and Informatics, Mechanical Engineering and Materials Science and Engineering, and Civil Engineering and Geomatics. All three Departments cover areas that are on the cutting edge of technology and formed the basis for the establishment of our University. These three Departments, within the few years of operation of our University, managed to attract significant amounts of research funding and to participate in competitive calls both in Cyprus and abroad. In addition, the Faculty Departments have demonstrated remarkable educational work both in undergraduate and postgraduate programmes both at the Master as well as at the doctoral level. During the current academic year seven Master level programs are offered in three Departments of the Faculty.

OrgUnit's Researchers publications
(Dept/Workgroup Publication)

Αποτελέσματα για 161-180 από 3974.

Ημερομηνία ΈκδοσηςΤίτλοςΣυγγραφέας
16124-Μαΐ-2022Arterial Ultrasound Testing to Predict Atherosclerotic Cardiovascular EventsNicolaides, Andrew N. ; Panayiotou, Andrie G. ; Griffin, Maura B. ; Tyllis, Theodosis ; Bond, Dawn ; Georgiou, Niki ; Kyriacou, Efthyvoulos C. ; Avraamides, Costantinos ; Martin, Richard M. 
162Μαρ-2020Artificial farm lake detection using spectroradiometric and satellite dataChristoforou, Michalakis 
163Ιου-2021Artificial intelligence and internet of things to improve efficacy of diagnosis and remote sensing of solar photovoltaic systems: Challenges, recommendations and future directionsMellit, Adel ; Kalogirou, Soteris A. 
164Οκτ-2010Artificial intelligence applications and innovationsPapadopoulos, Harris ; Andreou, Andreas S. 
16527-Ιου-2019Artificial intelligence for mass appraisals of residential properties in Nicosia: Mathematical modelling and algorithmic implementationDimopoulos, Thomas ; Bakas, Nikolaos P. 
1662010Artificial Intelligence Techniques for Modern Energy ApplicationsKalogirou, Soteris A. ; Metaxiotis, Kostas ; Mellit, Adel 
1672008Artificial intelligence techniques for photovoltaic applications: A reviewMellit, Adel ; Kalogirou, Soteris A. 
168Φεβ-2009Artificial intelligence techniques for sizing photovoltaic systems: A reviewMellit, Adel ; Kalogirou, Soteris A. ; Hontoria, Leocadio ; Shaari, Sulaiman N. 
1695-Οκτ-2010Artificial Intelligence Techniques in Solar Energy ApplicationsKalogirou, Soteris A. ; Şencan, Arzu 
1702010An artificial neural network-based hotspot prediction mechanism for NoCsKakoulli, Elena ; Theocharides, Theocharis ; Soteriou, Vassos 
171Δεκ-2013Artificial neural network-based model for estimating the produced power ofaphotovoltaic moduleMellit, Adel ; Saǧlam, Şafak ; Kalogirou, Soteris A. 
1721-Δεκ-2013Artificial neural networks and genetic algorithms for the modeling, simulation, and performance prediction of solar energy systemsKalogirou, Soteris A. 
1732009Artificial neural networks and genetic algorithms in energy applications in buildingsKalogirou, Soteris A. 
1742010Artificial neural networks for non-invasive chromosomal abnormality screening of fetusesNicolaides, Kypros H. ; Neokleous, Kleanthis C. ; Schizas, Christos N. ; Neocleous, Costas 
1752015Artificial neural networks for the generation of a conductivity map of the groundKalogirou, Soteris A. ; Florides, Georgios A. ; Pouloupatis, Panayiotis ; Christodoulides, Paul ; Joseph-Stylianou, Josephina 
176Δεκ-2012Artificial Neural Networks for the Generation of Geothermal Maps of Ground Temperature at Various Depths by Considering Land ConfigurationKalogirou, Soteris A. ; Florides, Georgios A. ; Pouloupatis, Panayiotis ; Panayides, Ioannis ; Joseph-Stylianou, Josephina ; Zomeni, Zomenia 
177Σεπ-2013Artificial neural networks for the performance prediction of large solar systemsKalogirou, Soteris A. ; Mathioulakis, Emanouel ; Belessiotis, Vassilios G. 
1782012Artificial neural networks to investigate the importance and the sensitivity to various parameters used for the prediction of chromosomal abnormalitiesNeocleous, Andreas C. ; Nicolaides, Kypros H. ; Neocleous, Costas 
1792011Artificial neural networks to investigate the significance of PAPPA and b-hCG for the prediction of chromosomal abnormalitiesNeocleous, Andreas C. ; Nicolaides, Kypros H. ; Schizas, Christos N. ; Neokleous, Kleanthis C. ; Neocleous, Costas 
18014-Απρ-2021Artwork Identification in a Museum Environment: A Quantitative Evaluation of Factors Affecting Identification AccuracyLanitis, Andreas ; Theodosiou, Zenonas ; Partaourides, Charalampos