Georgi Tsochev

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Verified

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• PhD
• Professor (Associate) at Technical University of Sofia

This systematic review answers questions about whether or not a model of metacognition is well accepted and if it can be used in cognitive architecture design. Self-planning, self-monitoring, and self-evaluation are the model concepts, which are viewed as metacognitive experiences. A newly formulated theoretical approach named Attention as Action w...

Decision making in critical situations is a complex process. There are many processes to consider. This paper describes a theoretical approach to researching attentional processes and automatic unconscious processes in terms of metacognition. An application of the approach is presented to explain decision making and metacognition as a solution for...

This article aims at describing the methods and the digital tests that would be useful for conducting experiments on consequential effects by training with a video game. Analysis is done on research regarding effects from playing action video games. The term serious game is also covered by presenting research done in the sphere of learning. This ar...

With the advent of digital technologies as an integral part of today’s everyday life, the risk of information security breaches is increasing. Email spam, commonly known as junk email, continues to pose a significant challenge in the digital realm, inundating inboxes with unsolicited and often irrelevant messages. This relentless influx of spam not...

In the world of Internet many people become victim of cyberattacks. One of the most devastating threats are DoS and DDoS attacks. In this paper is suggested an Intrusion Detection System in which are implemented machine learning models. SVM classification algorithm is used for making three different machine learning models. Each machine model has s...

Computer networks are based on technology that provides the technical infrastructure where routing protocols are used to transmit packets over the Internet. Routing protocols define how routers communicate with each other by distributing information. They are used to describe how routers communicate with each other, learn available routes, build ro...

This paper describes the results of a developed online machine learning method implemented in a real-time multiplayer game called Hram Light. The goal was to create a program which produces several ways of playing for a bot, which would become a virtual trainer for players. The solutions are required to vary in success rate in order to achieve prog...

Cloud computing is a new technology that is undergoing tremendous development today. People who use it are not able to separate the reasonable from the unreasonable arguments that come with the security requirements in the cloud. The claim that cloud computing is hereditarily insecure is as absurd as the claim that cloud computing does not create n...

The COVID-19 pandemic introduced many limitations and changes in our lives and in particular in education. This article presents problems in distance learning in the field of computer networks and information security between March and June 2020 in the training of engineers with computer science profile.

Artificial Intelligence (AI) is a very promising field of development, in many directions. It is widespread in computer technology (biotechnology, nanotechnology, Internet of Things, etc.) as well as in robotics, 3D printing, quantum computing, and many more. Using it to predict and defend from cyber attacks is another of its many applications. In...

This article presents a brief overview of the effect of new technologies, how they are changing the manufacturing process, and how the machines are starting to get a lot smarter thanks to the artificial intelligence. The focus is over the examination of Industry 4.0 and how it revolutionized the whole manufacturing segment and what promise of a bet...

Monte Carlo methods are a way to solve the reinforcement learning problem based on average test results. To ensure that well-defined results are available, Monte Carlo methods are used only for episodic tasks. The Monte Carlo term is often used more widely in any valuation method whose operation involves significant participation on a random basis....

An issue of the Internet of Things security which does not belong to the traditional problem of cybersecurity, as it is a local or distributed monitoring and/or monitoring of physical systems state connected via the Internet, is considered. An architecture of Supervisory Control and Data Acquisition system (SCADA) was considered in previous authors...

Digitization of information in all spheres of human activity and use of technological innovations, as a basic case for the emergence of all wages and attacks that are insufficient to modern technologies and the continuous expansion of the complexity of security and hardware. The protection against these attacks and wages can be viewed in different...

The implementation of an information system is a complex process. It is even more complex when it comes to business information systems. These information systems have now evolved into what are more commonly known as enterprise information systems. Then the threat of cyberattacks must also be considered. In this paper we make a brief overview of ma...

In the current age, cyber security is an essential element of any information system. A key aspect is in the critical information infrastructure, where information security has become a top priority for information and network security experts. The interoperability of an ICT infrastructure with other components of it is an important aspect of its l...

The Faculty of Computer Systems and Technology at Technical University – Sofia undertook analyses and experiments on the use of Artificial Intelligence methods in the field of Information Security. In the course of the study a Cyber Defence related to the classification consisting of three phases has been proposed: Operative Cyber Intelligence, Tac...

Accounting and financial classification and prediction problems are high challenge and researchers use different methods to solve them. Methods and instruments for short time prediction of financial operations using artificial neural network are considered. The methods, used for prediction of financial data as well as the developed forecasting syst...

Networking solutions (networks of excellence, communities of practice, knowledge portals, etc.) are recognized as effective tools for nuclear training and education services, transfer of good practices, knowledge and programmes, and knowledge management. In addition, the e-learning is recommended as a state of the art and cost effective approach fo...