Arailym-tleubayeva/sist-english-corpus huggingface dataset:
Title: Integrated Computer Network Security System: Intrusion Detection and Threat Prediction Using Machine Learning Algorithms
Abstract: The escalating use of computer networks and associated applications has made cybersecurity a critical concern. This research presents a comprehensive approach to addressing network security issues by developing an Intrusion Detection System (IDS) based on the dataset from the Security Information and Event Management System (SIEM) using various machine learning algorithms. The study includes a detailed comparison of models such as Logistic Regression, K-Nearest Neighbors, Gusain Naive Bayes, Support Vector Machine, Decision Tree, Random Forest, XGBoost, and Artificial Neural Networks. The results demonstrated using histograms and tables show the effectiveness of Random Forest and PCA Random Forest, emphasizing their accurate traffic classification. The research evaluates the model’s performance across various cyber-security datasets containing multiple categories of cyber-attacks. It evaluates efficiency by utilizing criteria such as accuracy, precision, and recall. By applying a multilevel approach aligned with the latest trends in machine learning, the study aims to facilitate swift and precise threat analysis and response, ultimately enhancing the overall effectiveness of the cybersecurity system. The study is an effective educational resource that introduces IT students to innovative machine learning and cybersecurity ideas. Through the integration of the results into IT curriculum, educators may close the knowledge gap between theory and practical application by offering students real-world experience in addressing cyber threats. This combined emphasis on innovation and education seeks to develop a new generation of IT professionals with the expertise required for enhanced cybersecurity.
Keywords: Cybersecurity;Machine Learning;Deep Learning;Machine Learning Algorithms;Intrusion Detection System;Artificial Intelligence;Cyber-attack prediction
Review score: Moderate
Review comment: The work is devoted to an interesting topic. The article can be submitted for participation in the conference after the following comments are corrected:
- the list of references needs to be improved in terms of its formatting;
- there are some inaccuracies in the design of the article in accordance with the requirements of the conference (requirements for the design of tables).
The article may be accepted for publication after correcting the remarks.
Title: Analyzing and Responding to the Spread of COVID-19
Abstract: Our study delves into the intricate relationship between socio-economic factors and the outcomes of the COVID-19 pandemic. Through comprehensive data analysis and visualization techniques, we scrutinize the disparities in case distribution and uncover trends across diverse economic backgrounds. Utilizing data from various countries, we present compelling evidence of the significant impact of economic status on pandemic outcomes. Notably, our findings reveal a strong correlation between economic indicators, such as GDP per capita, and infection rates, highlighting the critical role of economic resilience in managing public health crises. Furthermore, predictive modeling based on economic variables demonstrates promising capabilities in forecasting pandemic trajectories. We showcase the effectiveness of such models in anticipating COVID-19 trends, emphasizing the importance of integrating economic insights into public health strategies. Additionally, our analysis identifies regional patterns and correlations, offering valuable insights for targeted interventions and policy formulation. Through our research, we underscore the importance of data-driven approaches and the intersection of socio-economic factors in understanding and responding to global health crises.
Keywords: COVID-19;Public Health;Economic Impact;Data Analytics;Predictive Modeling;Vaccination;Global Health Policy
Review score: Low
Review comment: Dear Authors,

Upon reviewing your manuscript, we noticed discrepancies between the literature references and their corresponding numbers in the text. This needs to be rectified for clarity and accuracy. Additionally, certain sections of the text appear to be AI-generated, which may affect the overall coherence and originality of the content. Moreover, the conclusions drawn in the manuscript are overly broad and lack a specific focus on Information Technology, which is a critical aspect for submissions to an IEEE conference. We recommend addressing these issues to enhance the suitability of your paper for the conference.
Title: Analyzing and Responding to the Spread of COVID-19
Abstract: Our study delves into the intricate relationship between socio-economic factors and the outcomes of the COVID-19 pandemic. Through comprehensive data analysis and visualization techniques, we scrutinize the disparities in case distribution and uncover trends across diverse economic backgrounds. Utilizing data from various countries, we present compelling evidence of the significant impact of economic status on pandemic outcomes. Notably, our findings reveal a strong correlation between economic indicators, such as GDP per capita, and infection rates, highlighting the critical role of economic resilience in managing public health crises. Furthermore, predictive modeling based on economic variables demonstrates promising capabilities in forecasting pandemic trajectories. We showcase the effectiveness of such models in anticipating COVID-19 trends, emphasizing the importance of integrating economic insights into public health strategies. Additionally, our analysis identifies regional patterns and correlations, offering valuable insights for targeted interventions and policy formulation. Through our research, we underscore the importance of data-driven approaches and the intersection of socio-economic factors in understanding and responding to global health crises.
Keywords: COVID-19;Public Health;Economic Impact;Data Analytics;Predictive Modeling;Vaccination;Global Health Policy
Review score: Moderate
Review comment: 1. It is recommended to expand point C.Predictive modeling: write the equation of the linear regression model, its factors, forecasting periods (short-term or long-term), countries for which the forecasting is being made. And also show the numerical values of the metrics of the predicted model. In the scatterplot, Figure 4, label the axes. In this diagram, the forecast for all cases is the same and is slightly greater than 0, what does this mean? It is also not possible to see on the scatterplot as you write: “actual and predicted case numbers closely aligned.”
2. Figure 3 and 4 have the same name.
3. Figure 7, in fact, duplicates Figure 6, only with a larger number of countries.
4. It is sometimes unclear what units of measurement (pieces, thousands, hundreds of thousands) are used to count confirmed cases (For example Figure 1.). It would be better if they were shown as a percentage of the total population. This way we can compare countries more fairly because places with larger populations tend to have more cases overall, but the percentage may actually be lower.
5. Not all Figures have links.
6. Figure 2. The legend indicates 5 countries, but the graphs are plotted only for 4.
7. Paragraph D. Group and regional correlation findings:  paragraph have to begin with a capital letter.
8. 8. Figure 8. The authors need to change the diagram settings (color, y-axis label), it is not visually clear.
9. In conclusion there is a link to Figure 5, but should be to Figure 10.
Title: Modeling of the System for the Electronic Estimation of Adolescents’ Special Abilities
Abstract: This article is a continuation of works aimed at gamification of youth’s career guidance self-identification. But unlike previous works, in this article is solved the problem design an architectural solution that will be laid in the foundation of the intelligent information-communication system for estimating the adolescents’ special abilities. Problem solved by means using existing development tools, therefore in this paper various programming tools that can potentially be used for system development are reviewed and it is shown which tools to use for writing system code; how to store data inside the system; how to ensure communication between services. The expediency of using the relational PostgreSQL database is shown and its structure is described in detail. To solve the problem of guaranteed transfer of all estimations of professional abilities results to the Neuro-Fuzzy Inference System, it is proposed to use Kafka messages. In addition, Kafka’s distributed architecture makes the system for electronic estimating the adolescents’ special abilities scalable enough to make possible the transition to a highly loaded system thanks to features such as replication and partitioning. Also considered further improvements by adding automatic tools for monitoring performance and checking errors in the system.
Keywords: database;gamification;Kafka;professional self-identification
Review score: Moderate
Review comment: The article investigates the design of an architectural solution that will form the basis of an intelligent information and communication system for assessing the special abilities of adolescents.
To achieve this goal, various programming tools that can be used to develop the system are considered.
As for the comments, the following should be highlighted:
1) Chapter 2 does not formulate the purpose of the study;
2) The conclusions should be substantially revised by the research objectives. They are presented in the article in the form of theses.
Title: Modeling of the System for the Electronic Estimation of Adolescents’ Special Abilities
Abstract: This article is a continuation of works aimed at gamification of youth’s career guidance self-identification. But unlike previous works, in this article is solved the problem design an architectural solution that will be laid in the foundation of the intelligent information-communication system for estimating the adolescents’ special abilities. Problem solved by means using existing development tools, therefore in this paper various programming tools that can potentially be used for system development are reviewed and it is shown which tools to use for writing system code; how to store data inside the system; how to ensure communication between services. The expediency of using the relational PostgreSQL database is shown and its structure is described in detail. To solve the problem of guaranteed transfer of all estimations of professional abilities results to the Neuro-Fuzzy Inference System, it is proposed to use Kafka messages. In addition, Kafka’s distributed architecture makes the system for electronic estimating the adolescents’ special abilities scalable enough to make possible the transition to a highly loaded system thanks to features such as replication and partitioning. Also considered further improvements by adding automatic tools for monitoring performance and checking errors in the system.
Keywords: database;gamification;Kafka;professional self-identification
Review score: Moderate
Review comment: The scientific article is written at a high level. The relevance of the research area is convincingly described. Discussion of the research results provides precise measurable results and benefits of the proposed architecture. The novelty of the article lies in the proposal of a new architecture for the solution of the Intelligent infocommunication system for electronic assessment of special abilities of adolescents. The article can certainly be accepted.
Title: Tanks detection and recognition based on custom dataset model
Abstract: This research explores the field of Artificial Intelligence vision, specifically concentrating on training a You Only Look Once (YOLO) model to recognize military objects, with a focus on tanks. Utilizing the capabilities of deep learning and YOLO’s real-time object detection, the study introduces a comprehensive methodology aimed at improving the precision and effectiveness of identifying military assets. The approach encompasses the compilation of diverse datasets, precise annotation, and the development of a customized training plan to equip the YOLO model with the capability to discern intricate features of tanks across various scenarios. Through meticulous experimentation and refinement, the trained model demonstrates heightened proficiency in real-world situations, opening avenues for advancements in military surveillance, security, and strategic decision-making. The results underscore the potential of AI vision, particularly YOLO, in fortifying defense systems by enabling intelligent and swift recognition of military objects.
Keywords: AI;machine learning;YOLO;computer vision;military
Review score: Moderate
Review comment: The mathematical description is required for the article
Title: Tanks detection and recognition based on custom dataset model
Abstract: This research explores the field of Artificial Intelligence vision, specifically concentrating on training a You Only Look Once (YOLO) model to recognize military objects, with a focus on tanks. Utilizing the capabilities of deep learning and YOLO’s real-time object detection, the study introduces a comprehensive methodology aimed at improving the precision and effectiveness of identifying military assets. The approach encompasses the compilation of diverse datasets, precise annotation, and the development of a customized training plan to equip the YOLO model with the capability to discern intricate features of tanks across various scenarios. Through meticulous experimentation and refinement, the trained model demonstrates heightened proficiency in real-world situations, opening avenues for advancements in military surveillance, security, and strategic decision-making. The results underscore the potential of AI vision, particularly YOLO, in fortifying defense systems by enabling intelligent and swift recognition of military objects.
Keywords: AI;machine learning;YOLO;computer vision;military
Review score: Moderate
Review comment: The mathematical part that underlies the research is missing or poorly represented, it is necessary to add. Was this the first time such a study was conducted? It is recommended to make a comparison with previous studies. It is necessary to compare the obtained result with the known ones. Similar studies are conducted using several libraries/tools. It is worth showing them by comparison.
Title: Conceptualizing the ICT project management in the sustainability context
Abstract: This paper discusses the roles and opportunities that ICTs play in the pursuit of Sustainable Development Goals (SDGs). It is claimed that the efficient use of digital technologies is possible if the IT project management of sustainability methodology is used. The links and gaps between ISO standards and the SDGs presented. The correlation of ISO standards for project, program, and portfolio management with 17 SDGs investigated. Correlations with SDGs 8, 9, 11, 12, 13, and 16 identified. The contextual analysis of the opportunities for the use of ICTs for the achievement of the SDGs revealed two levels of responsibility in terms of sustainability. Firstly, ICT acts as an accelerator for managing projects and programs in different areas (environmental, economic, and social). Secondly, the high intensity of development of the ICT field itself requires the initiation and implementation of the SDGs in the ICT field itself. It is noted that the development of a methodology for sustainable management of ICT projects can be built by integrating project management standards and establishing a correlation with all SDGs. The integration of sustainability in ICT project management can start with the acceleration of project management processes, followed by improving sustainability competencies.
Keywords: information and communication technology (ICT);sustainable development goals (SDGs);project management;smart infrastructure;digital community
Review score: Moderate
Review comment: -
Title: Conceptualizing the ICT project management in the sustainability context
Abstract: This paper discusses the roles and opportunities that ICTs play in the pursuit of Sustainable Development Goals (SDGs). It is claimed that the efficient use of digital technologies is possible if the IT project management of sustainability methodology is used. The links and gaps between ISO standards and the SDGs presented. The correlation of ISO standards for project, program, and portfolio management with 17 SDGs investigated. Correlations with SDGs 8, 9, 11, 12, 13, and 16 identified. The contextual analysis of the opportunities for the use of ICTs for the achievement of the SDGs revealed two levels of responsibility in terms of sustainability. Firstly, ICT acts as an accelerator for managing projects and programs in different areas (environmental, economic, and social). Secondly, the high intensity of development of the ICT field itself requires the initiation and implementation of the SDGs in the ICT field itself. It is noted that the development of a methodology for sustainable management of ICT projects can be built by integrating project management standards and establishing a correlation with all SDGs. The integration of sustainability in ICT project management can start with the acceleration of project management processes, followed by improving sustainability competencies.
Keywords: information and communication technology (ICT);sustainable development goals (SDGs);project management;smart infrastructure;digital community
Review score: Moderate
Review comment: it is necessary to remove the font colors
Title: Conceptualizing the ICT project management in the sustainability context
Abstract: This paper discusses the roles and opportunities that ICTs play in the pursuit of Sustainable Development Goals (SDGs). It is claimed that the efficient use of digital technologies is possible if the IT project management of sustainability methodology is used. The links and gaps between ISO standards and the SDGs presented. The correlation of ISO standards for project, program, and portfolio management with 17 SDGs investigated. Correlations with SDGs 8, 9, 11, 12, 13, and 16 identified. The contextual analysis of the opportunities for the use of ICTs for the achievement of the SDGs revealed two levels of responsibility in terms of sustainability. Firstly, ICT acts as an accelerator for managing projects and programs in different areas (environmental, economic, and social). Secondly, the high intensity of development of the ICT field itself requires the initiation and implementation of the SDGs in the ICT field itself. It is noted that the development of a methodology for sustainable management of ICT projects can be built by integrating project management standards and establishing a correlation with all SDGs. The integration of sustainability in ICT project management can start with the acceleration of project management processes, followed by improving sustainability competencies.
Keywords: information and communication technology (ICT);sustainable development goals (SDGs);project management;smart infrastructure;digital community
Review score: Moderate
Review comment: Article's structure should be adjusted to the requirements. More visualizations are needed not just tables. Research method is not clearly stated in the article. There are too many self-references. Some editing and spell checking are recommended.
Title: Gamification Effects on Employee Engagement and Business Process Risk Evaluation
Abstract: This research explores the effectiveness of gamification as a method to boost employee engagement and improve organizational processes. Employing advanced big data analytics, specifically machine learning applied to the Workplace Employee Relations Survey data, this study uses predictive modeling to identify patterns in Employee Engagement Factors. The accuracy of these models was confirmed through well-known evaluation metrics, revealing a strong correlation between predicted outcomes and realworld data. This underscores the models' ability to accurately reflect engagement trends among employees. A blend of qualitative and quantitative analyses offers a thorough understanding of engagement dynamics, framing these insights within the context of Tuckman’s Model of group development. While acknowledging the limitations, the research emphasizes the potential longevity of gamification as a strategy. As a result, by leveraging insights from this study, organizations can enhance their business processes, drive organizational success, and foster a culture of continuous engagement.
Keywords: gamification;employee engagement;business process;risk management;big data
Review score: Moderate
Review comment: The reader is not entirely clear what the authors’ contribution is; it is necessary to present it more clearly.
Title: Gamification Effects on Employee Engagement and Business Process Risk Evaluation
Abstract: This research explores the effectiveness of gamification as a method to boost employee engagement and improve organizational processes. Employing advanced big data analytics, specifically machine learning applied to the Workplace Employee Relations Survey data, this study uses predictive modeling to identify patterns in Employee Engagement Factors. The accuracy of these models was confirmed through well-known evaluation metrics, revealing a strong correlation between predicted outcomes and realworld data. This underscores the models' ability to accurately reflect engagement trends among employees. A blend of qualitative and quantitative analyses offers a thorough understanding of engagement dynamics, framing these insights within the context of Tuckman’s Model of group development. While acknowledging the limitations, the research emphasizes the potential longevity of gamification as a strategy. As a result, by leveraging insights from this study, organizations can enhance their business processes, drive organizational success, and foster a culture of continuous engagement.
Keywords: gamification;employee engagement;business process;risk management;big data
Review score: Moderate
Review comment: 1. Quality of Figure 1 should be improved. It is hard to read the text. 
2. Notations, symbols such as G, B, A(R), R, etc. are required to revise. It is recommended to use an equation format to represent those symbols and notations.