Computer Science and Education in Computer Science: 19th EAI International Conference, CSECS 2023, Boston, MA, USA, June 28-29, 2023, Proceedings

by Tanya Zlateva (Editor), Georgi Tuparov (Editor)

Overview

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.

Product Details

ISBN-13:	9783031446672
Publisher:	Springer Nature Switzerland
Publication date:	10/11/2023
Series:	Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering , #514
Edition description:	1st ed. 2023
Pages:	418
Product dimensions:	6.10(w) x 9.25(h) x (d)

Table of Contents

Computational Math.- Based Similarity Metric in Computational Advertizing: A New Approach to Audience Extension.- On the p-Rank of the Incidence Matrix of a Projective Hjelmslev Plane.- On Some Alternative Probability Density Metrics for Analyzing Empirical Datasets.- Expository Clustering Visualizations: Keeping it Simple.- Signal Prediction on Catalonia Cell Coverage.- Branching process simulator in R.- List of Optimal Solutions of the Minimum Cost for Minimum Time Assignment Problem.- Implementation of a CNN for Asterism Classification in Carte du Ciel Astrographic Maps.- Software Engineering.- People Make Mistakes – A Survey of Common Causes of Software Defects.- Holistic (software) quality theory: An improved definition and meta-model.- Software reuse approach based on review and analysis of reuse risks from projects uploaded to GitHub.- Health Informatics.- AI-Enabled Infrared Thermography: Machine Learning Approaches in Detecting Peripheral Arterial Disease.- The Impact of Virtual and Augmented Reality on the Development of Motor Skills and Coordination in Children with Special Educational Needs.- Deep Learning Models for Vaccinology: Predicting T-cell Epitopes in C57BL/6 Mice.- Changes in patterns of infectivity and mortality with SARS-CoV-2 Omicron variant in Bulgaria.- Data Representations and Ensemble Deep Learning Networks for Functional Neuroimaging Datasets.- ”Studying” Foreheads: ML-based Analysis of Cardan’s Metoposcopy.- Computer Architecture and Networks.- A Methodology for Engineering Design and Simulation of a Satellite Horn Antenna.- Optimized FPGA implementation of an artificial neural network using a single neuron.- An Approach to Environmental Study from Observations and Sensing Towards a Digital Twin.- Business Informatics.- The Application of Data Analytics for Understanding Patterns of Mergers and Acquisitions and CEO Characteristics in and between Crisis Times.- Interdependencies between crypurrency markets, precious metals and energy resources.- Exploring Banking Stability through Diverse Parameters and Mathematical Models.- An Integrated Framework for Assessing Data and Business Analytics Skills for the Job Market.- Assessing the Resilience of the Banking System in the Republic of Bulgaria Using Mathematical Models.- Education in Computer Science.- The Ecosystem of Computer Science Education in Bulgarian Primary School – State of the Art.- Using Extract, Transform, and Load Framework and Data Visualization Tools to Enhance Career Services for Analytics Master’s Program Student.- A school to remember: analyzing school best practices in the perspective of digital transformation of schools.- TeamUp: Form Best Project Teams.- An Empirical Study of Student Perceptions When Using ChatGPT in Academic Assignments.- Value-added Grading of AI-assisted Papers.- BU MET ABA program to Quantitative Trading in the Energy Market.