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2022 International Conference on Information Science and Communications technologies, ICISCT 2022

作者： Reypnazarov, Ernazar Khujamatov, Halimjon Khasanov, Doston Allamuratova, Zamira Tashkent University of Information Technologies Named after Muhammad Al-Khwarizmi Tashkent Uzbekistan Computer Enjineering Faculty Tashkent University of Information Technologies Named after Muhammad Al-Khwarizmi Tashkent Uzbekistan Tashkent University of Information Technologies Named after Muhammad Al-Khwarizmi Department of Data Communication Networks and Systems Tashkent Uzbekistan Department of Information-Computer Technologies and Programming Tashkent University of Information Technologies Named after Muhammad Al-Khwarizmi Tashkent Uzbekistan

ISBN: (纸本)9781665472296

This paper presents the threshold value determination model, its implementation algorithm, and the characteristics of the threshold value depending on the probability of false signal detection, developed for the purpose of researching the method of energy determination in spectrum sensing in cognitive radio networks. Also, the main methods of single-band spectrum sensing in cognitive radio networks were initially studied in the article, and the main spectrum detection algorithms were comparatively analyzed. © 2022 IEEE.

关键词： Cognitive radio

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Advantages of Applying a Multi-agent Approach in Simulation Modeling: a Data-to-Action Case Study Applied to Electricity Production

Advantages of Applying a Multi-agent Approach in Simulation ...

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National Conference with International Participation (TELECOM)

作者： Krassimir Stoyanov Varbinka Stefanova-Stoyanova Petko Danov Department of Computer Systems Faculty of Computer Systems and Technologies Technical University of Sofia Sofia Bulgaria Department of Programming and Computer Technologies Faculty of Computer Systems and Technologies Technical University of Sofia Sofia Bulgaria

ISBN: (纸本)9781665482134

This article examines modern methods for analysis and dynamic process modeling with the context of the capabilities, characteristics and advantages of types of multiagent systems. A practical implementation of the “Data to Action” model is proposed through the research simulation modeling system “Photovoltaic (PV) to Smart Energy Storage (SES) Grid”, developed by the authors using a Multi-Agent System for simulating the process of generating electricity produced by a PV park, its storage with the possibility of Time-Shifting and sale of energy.

关键词： Photovoltaic systems Process modeling Production Data models Telecommunications Multi-agent systems Energy storage

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Understanding Student Success Prediction Using SHapley Additive exPlanations

Understanding Student Success Prediction Using SHapley Addit...

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computer Science (COMSCI), International Scientific Conference on

作者： Berat Ujkani Daniela Minkovska Ognyan Nakov Department of Programming and Computer Technologies Faculty of Computer Systems and Technologies Technical University of Sofia 8 Kliment Ohridski blvd. Sofia Bulgaria

Predicting student success is an important task in educational institutions, as it allows for targeted interventions and support systems to enhance educational outcomes. This paper explores the use of SHAP (SHapley Additive exPlanations) model-agnostic method in understanding and interpreting student success prediction. The predictive model was built using Multi-Layer Perceptron neural network algorithm on a large public dataset. By shedding light on the underlying factors driving student success, this research contributes to the advancement of data-driven decision-making in education.

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Design and testing tool for a safe monitoring system for neurodegenerative disorder patients 3

Design and testing tool for a safe monitoring system for neu...

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3rd International Conference on Advances in Computational Tools for Engineering Applications, ACTEA 2016

作者： Halabi, Nashaat El Achkar, Roger Daou, Roy Abi Zeid Hayek, Ali Borcsok, Josef Department of Computer and Communications Engineering Faculty of Engineering American University of Science and Technology Beirut Lebanon Department of Biomedical Technologies Faculty of Public Health Lebanese German University Sahel Alma Lebanon Department of Computer Architecture and System Programming Faculty of Electrical Engineering/Computer Science University of Kassel Kassel Germany

ISBN: (纸本)9781467385237

This paper aims to develop a sensor based monitoring and analyzing system for Neuro-Degenerative Disorder patients (NDD);this may consist on SpO2 sensor, Electrophysiological sensors, NIBP, Motion Capture sensors and Eye Monitoring sensor, taking into consideration an acceptable cost for the whole system. Recorded data will be sent to an embedded decision making unit where detection, analysis, classification, prediction and action control will occur. The sensors and the decision making unit will be implemented in a comfortable jacket that doesn't affect the patients' movements and that can be used by several patients with reduced sensor placement alterations. The decision that can be made is creating a stimulus to avoid falling in case of sudden stop while moving, initiating an alarm, sending a notification to a mobile phone application, and/or telemedicine monitoring features. Artificial Neural Networks will be used to classify and predict the abnormal cases where action should be taken, and since the sensors will be continuously recording, it is possible to achieve continuous learning for the ANN as a first phase. Initial models will be defined by testing normal behaviors and some known abnormal behaviors or symptoms related to the electrical activity and other characteristics of the heart, oxygen saturation level, eye activity and body motion. © 2016 IEEE.

关键词： Neural networks

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Platform for big biomedical data streams management and analytics

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International Journal of Circuits, Systems and Signal Processing 2020年 14卷 580-588页

作者： Gancheva, Veska Programming and Computer Technologies Department Technical University of Sofia 8 Kliment Ohridski boul Sofia1000 Bulgaria

Major challenge in the analysis of clinical data and knowledge discovery is to suggest an integrated, advanced and efficient tools, methods and technologies for access and processing of progressively increasing amounts of data in multiple formats. The paper presents a platform for multidimensional large-scale biomedical data management and analytics, which covers all phases of data discovery, data integration, data preprocessing, data storage, data analytics and visualization. The goal is to suggest an intelligent solution as integrated, scalable workflow development environment consisting of a suite of software tools to automate the computational process in conducting scientific experiments. © 2020, North Atlantic University Union. All rights reserved.

关键词： Data Analytics

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Neuromorphic Assisted Sensor Grids

Neuromorphic Assisted Sensor Grids

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International Scientific Conference Electronics (ET)

作者： Ianislav Trendafilov Veska Gancheva Neuromorphica Ltd. Sofia Bulgaria Department of Programming and Computer Technologies Faculty of Computer Systems and Technologies Technical University of Sofia Sofia Bulgaria

A particular problem in using artificial intelligence techniques in the sensor grid is the high power consumption. Remote sensors are usually limited by the amount of power available, thus our general goal is to minimize it while preserving accurate experimentation results. Using emerging technologies like spiking neural networks and neuromorphic hardware, we can create sensor grids that perform data processing with preserving low power consumption. In this paper, we demonstrate a remote node with integrated visual sensor that works on less than 10mW of energy, while performing continuous scene monitoring, object detection and classification. The system has intelligent power management and the ability to send data wirelessly.

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An Approach to Investigating Plagiarism in Artificial Intelligence Content

An Approach to Investigating Plagiarism in Artificial Intell...

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computer Science (COMSCI), International Scientific Conference on

作者： Daniela Veleva Minkovska Elena Ventseslavova Antonova Kiril Andreev Koparanov Plamen Ognyanov Nakov Department of Programming and Computer Technologies Faculty of Computer Systems and Technologies Technical University of Sofia Sofia Bulgaria Department of Computer Systems Faculty of Computer Systems and Technologies Technical University of Sofia Sofia Bulgaria

ISBN: (数字)9798350392166

ISBN: (纸本)9798350392173

A growing number of human-centric tasks like learning, planning, and creative writing require the integration of Artificial Intelligence (AI) in the current era of exponential advancements. Such systems collect and analyze data on their own making the best use of available resources and providing creative solutions for challenging issues. The impact of AI on productivity, data analysis, flexibility, and real-time decision- making in a variety of fields is examined in this paper. Focusing on academic settings, the paper considers ethical concerns surrounding AI-generated content. According to a survey, even though many students use ChatGPT for writing and research, worries about academic integrity and plagiarism still exist.

关键词： Surveys Productivity Ethics Plagiarism Writing Chatbots Real-time systems Trajectory Artificial intelligence Standards

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Human VS AI-Generated Content: Where to Draw the Line?

Human VS AI-Generated Content: Where to Draw the Line?

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International Scientific Conference Electronics (ET)

作者： Daniela V. Minkovska Elena V. Antonova Department of Programming and Computer Technologies Faculty of Computer Systems and Technologies Technical University of Sofia 8 Kliment Ohridski blvd. Sofia Bulgaria

ISBN: (数字)9798350376449

ISBN: (纸本)9798350376456

The integration and detection of AI (Artificial Intelligence) in a variety of fields, primarily education, are examined in this paper. With an emphasis on virtual assistants and their uses, it explores the potential and constraints of such technology. A study was conducted with students at the Technical University of Sofia, to assess their ability to distinguish between texts written by humans and AI. The results showcase that learners need to develop their critical analysis skills evidenced by their mixed expertise.

关键词： Ethics Virtual assistants Education Artificial intelligence Standards

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Neuromorphic Neurons and Networks for Artificial Intelligence Built Using Temporal Space Calculations

Neuromorphic Neurons and Networks for Artificial Intelligenc...

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International Scientific Conference Electronics (ET)

We deigned a spiking neural network that computes network weights in the temporal dimension. Such a network can be used for artificial intelligence and deep learning. We demonstrate circuits implementing blocks for building such a network and then a training model. This enables creation of efficient Hessenstein-Reichardt detectors observed in motion detection networks in the nature. The proposed network allows reconfiguration across network layers algorithmically.

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Investigating Turkey High School Graduates’ Attitudes towards Technology

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Procedia - Social and Behavioral Sciences 2015年 191卷 1416-1422页

作者： Omer FarukSozcu ErkanTaskın Ismail Ipek Mustafa Simsek Hüseyin Kınay Fatih University Faculty of Education Department of Computer Education and Instructional Technologies Istanbul 34500 Turkey Fatih University Vocational School Computer Programming İstanbul 34500 Turkey

computers have been integrated into almost all areas of our daily lives. Serious problems stem from the fact that elementary and secondary school students in general have taken none or inadequate computer classes and as such, their awareness of efficient computer usage has not been adequately addressed. During university education, students have been observed experiencing hardships using computers for research and document preparation, due to their prior use of computers having consisted mostly of accessing social media and games. The current study investigated 2013-2014 high school graduates’ attitudes regarding technology, the computer programs they used and their usage frequency, reasons for why they use the Internet and social media and their usage frequencies, and their basic computer skills at university level. The participants of the current study were students who had just entered various departments and language preparation levels at Fatih University, Istanbul, Turkey. 250 Participants were randomly selected. Data for the current study were collected through a Basic computer Skills Questionnaire, an application for determining the levels of participants’ basic computer skills. Significant benefits are foreseen for students entering universities as helpful computer users with awareness attained during elementary or secondary education. Additionally, particularly for students who prefer non-social majors, it will be very useful to have learned a programming language and an algorithm at basic levels. The Internet as a medium for potentially leading to a diverse range of problems today requires conscious users.

关键词： technology attitude basic computer skills computer usage internet usage

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