Δράσεις

“Geographical Information Systems: Impimentations in real world and future challenges”, K. Karamitsios, International Journal of Computer (IJC), vol. 21, No. 1 (2016) Abstract Geographical Information Systems (G.I.S.) has become a very promising sector nowadays. The non-stop breakthroughs of the information technology in combination with the continuous amelioration of the science of geology have transformed the need of accurate data and clean visualization into an indispensable tool. The implementation of new technological techniques in the field of G.I.S. is a very interesting subject that anyone would like to keep an eye on. In this paper we present what G.I.S. is and how is it used in real world. After a short description of what G.I.S. do, we search for current G.I.S applications that are in use and also examine the prospects of the future challenges of this field. Our research is focused on various fields of the computer science and how

“Efficient implementation and usage of Wireless Sensor Networks in Precision Agriculture”, K.Karamitsios, I.Beleniotis, International Journal of Engineering Technology and Scientific Innovation, vol. 02, Page No. 591-594 (2017) Abstract Sustainability and precision agriculture (PA) are two theories that are closely related. How global positioning system can benefit the environment, is a question that has been debated right from the moment it was first applied on agricultural equipment. Naturally, using pesticides and fertilizers as at when needed and where needed only ought to minimize environmental pressure. The facts on sustainability, precision agriculture and wireless sensor networks will be thoroughly discussed in this paper, since they are the next big thing in the field of Internet Of Things (IoT) and smart environment.

“Machine Learning Algorithms and Applications: A Review”, F.Emmanouilidou, Elixir International Journal (2019) Abstract This paper will discuss about Machine Learning technology, its algorithms and its applications. In the new era of automations, business intelligence and the growing datacenters capacity, machine learning is a key component. Through literature review this paper demonstrates this new field and its characteristics. Different algorithms exist for various types of works, making it possible for average business to use the one that suits its needs the best. Machine Learning has come to stay for many years, providing added value to data and predictive mechanisms that will make our world a better place.