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Computer Science and Education in Computer Science

19th EAI International Conference, CSECS 2023, Boston, MA, USA, June 28–29, 2023, Proceedings

  • Conference proceedings
  • © 2023

Overview

Editors:
  1. Tanya Zlateva

    1. Boston University, Boston, USA

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  2. Georgi Tuparov

    1. New Bulgarian University, Sofia, Bulgaria

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Included in the following conference series:

Conference proceedings info: CSECS 2023.

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Table of contents (31 papers)

  1. Front Matter

    Pages i-xiv
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  2. Computational Math

    1. Front Matter

      Pages 1-1
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    2. \(\alpha \)-Based Similarity Metric in Computational Advertizing: A New Approach to Audience Extension

      • Sarthak Pattnaik, Eugene Pinsky
      Pages 3-29

    3. On the p-Rank of the Incidence Matrix of a Projective Hjelmslev Plane

      • Maryam Bajalan, Ivan Landjev, Assia Rousseva
      Pages 30-39

    4. On Some Alternative Probability Density Metrics for Analyzing Empirical Datasets

      • Sidney Klawansky, Brielle Balswick, Meaad Alsayel, Iryna Charvachidze, Anuka Manghwani, Pearl Almeida et al.
      Pages 40-47

    5. Expository Clustering Visualizations: Keeping it Simple

      • Greg Page
      Pages 48-57

    6. Signal Prediction on Catalonia Cell Coverage

      • Yang Xing, Xinyue Zeng, Farshid Alizadeh-Shabdiz
      Pages 58-72

    7. Branching Process Simulator in R

      • A. Tchorbadjieff, L. Tomov, P. Mayster
      Pages 73-86

    8. List of Optimal Solutions of the Minimum Cost for Minimum Time Assignment Problem

      • Lasko M. Laskov, Marin L. Marinov
      Pages 87-101

    9. Implementation of a CNN for Asterism Classification in Carte du Ciel Astrographic Maps

      • Lasko M. Laskov, Radoslav Radev
      Pages 102-114

  4. Health Informatics

    1. Front Matter

      Pages 157-157
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    2. AI-Enabled Infrared Thermography: Machine Learning Approaches in Detecting Peripheral Arterial Disease

      • Georgi Kostadinov
      Pages 159-170

    3. The Impact of Virtual and Augmented Reality on the Development of Motor Skills and Coordination in Children with Special Educational Needs

      • Martin Kolev, Ivan Trenchev, Metody Traykov, Radoslav Mavreski, Iliyan Ivanov
      Pages 171-181

    4. Deep Learning Models for Vaccinology: Predicting T-cell Epitopes in C57BL/6 Mice

      • Zitian Zhen, Yuhe Wang, Derin B. Keskin, Vladimir Brusic, Lou Chitkushev, Guang Lan Zhang
      Pages 182-192

    5. Changes in Patterns of Infectivity and Mortality with SARS-CoV-2 Omicron Variant in Bulgaria

      • Latchezar P. Tomov, Hristina Batselova, Tsvetelina Velikova
      Pages 193-203

    6. Data Representations and Ensemble Deep Learning Networks for Functional Neuroimaging Datasets

      • Morgan Cambareri, Farshid Alizadeh-Shabdiz
      Pages 204-211
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  1. Computer Science and Education in Computer Science

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About this book

This book constitutes the refereed post-conference proceedings of the 19th International Conference on Computer Science and Education in Computer Science, CSECS 2023, held in June 2023 in Boston, MA, USA.

The 23 full papers and 9 short papers were carefully reviewed and selected from 88 submissions. The papers cover many systems technologies, applications, and services as well as solutions. Multiple topics have been addressed including the theory of computation, models of computation, computational complexity and cryptography, logic, design, and analysis of algorithms, network architectures, performance evaluation, network services, software engineering, software creation, and management, applied computing, machine learning, and education.

Editors and Affiliations

  • Boston University, Boston, USA

    Tanya Zlateva

  • New Bulgarian University, Sofia, Bulgaria

    Georgi Tuparov

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