Arailym-tleubayeva/sist-english-corpus huggingface dataset:
Title: Research of the Information Security Audit System in Organizations
Abstract: The field of information security is constantly evolving, and new threats appear every day. To ensure that organizations remain protected from these threats, it is important to have a reliable information security audit system. The purpose of this study is to study the current state of information security audit systems in organizations and identify the best practices for the implementation and maintenance of these systems. In the course of the study, various methods and methods of conducting an information security audit will be analyzed, security analysis tools and information security tools.
Keywords: information security;audit;auditor
Review score: High
Review comment: 
Authors, conducting an information security audit is a systematic approach to evaluating an organization's information security system.  Authors, developed formula will help to temporarily audit information security and solve the issue of quantifying the cost of this event, which resists the current threats to cyber security. 
The topic of the article is relevant and meets all the requirements of the conference.
Title: Research of the Information Security Audit System in Organizations
Abstract: The field of information security is constantly evolving, and new threats appear every day. To ensure that organizations remain protected from these threats, it is important to have a reliable information security audit system. The purpose of this study is to study the current state of information security audit systems in organizations and identify the best practices for the implementation and maintenance of these systems. In the course of the study, various methods and methods of conducting an information security audit will be analyzed, security analysis tools and information security tools.
Keywords: information security;audit;auditor
Review score: High
Review comment: The scientific article is devoted to the field of information security.  The purpose of this study is to study the current state of information security audit systems in organizations and identify the best practices for the implementation and maintenance of these systems. The article describes the ways of research, analyzes various methods and techniques for conducting an information security audit, security analysis tools and information security tools.
The article submitted for review is of a scientific nature.  The material of the article has methodological justifications for the study in the form of an assessment of the likelihood of real security threats.
The article is well structured, written in a clear and understandable language, the conclusions are logical and the literature corresponds to the stated topic. This article may be recommended for publication after corrections of comments.
Title: Machine Learning Methods for Phishing Attacks: Survey
Abstract: The basis of cybersecurity is an understanding of the mechanisms of social engineering. This increases the effectiveness in combating this type of manipulation. One of them is phishing. Phishing attacks actively exploit the human factor to collect credentials or distribute malware. Machine learning has been successfully used to detect and prevent phishing. The purpose of this study is to review machine learning methods and the results of previous studies to prevent phishing attacks. Further studies will be planned based on this work.
Keywords: Phishing;Social Engineering;Machine Learning;Cybersecurity
Review score: Moderate
Review comment: 1) Check again formatting, eg. change font of Table 1
2) In general, I will suggest reorganize Table 1 or write as a text, because it is very huge table, and it is hard to follow and read
3) In Acknowledgment section try to write funding details, if there is none, do not write anything, it is scientific conference
Title: Machine Learning Methods for Phishing Attacks: Survey
Abstract: The basis of cybersecurity is an understanding of the mechanisms of social engineering. This increases the effectiveness in combating this type of manipulation. One of them is phishing. Phishing attacks actively exploit the human factor to collect credentials or distribute malware. Machine learning has been successfully used to detect and prevent phishing. The purpose of this study is to review machine learning methods and the results of previous studies to prevent phishing attacks. Further studies will be planned based on this work.
Keywords: Phishing;Social Engineering;Machine Learning;Cybersecurity
Review score: Low
Review comment: The publication is devoted to an interesting and relevant topic. 
However, the work is presented as a review of existing technologies and tools. The work does not show the scientific novelty and personal developments of the authors, which does not meet the requirements of the conference. To accept an article for publication, it needs to be significantly improved. For example, imagine the structure of an anti-phishing system of your own design or models developed by the authors.
Title: Machine Learning Methods for Phishing Attacks: Survey
Abstract: The basis of cybersecurity is an understanding of the mechanisms of social engineering. This increases the effectiveness in combating this type of manipulation. One of them is phishing. Phishing attacks actively exploit the human factor to collect credentials or distribute malware. Machine learning has been successfully used to detect and prevent phishing. The purpose of this study is to review machine learning methods and the results of previous studies to prevent phishing attacks. Further studies will be planned based on this work.
Keywords: Phishing;Social Engineering;Machine Learning;Cybersecurity
Review score: Moderate
Review comment: In the line of authors, you should add the mail address and ORCID
The article is a review, the topic is relevant, however, there are not enough research results
It is necessary to issue at the request of the "REFERENCES"
Title: Investigation of Solar Water Heating Systems (SWHS) and Their Implementation in Kazakhstan
Abstract: The aim of this study is to investigate solar water heating systems (SWHS) from the systems engineering perspective and estimate the prospects of implementation of SWHS in Kazakhstan. Under the scope of the current study, the interviews with the specialists of the field were conducted in order to identify the possible requirements for the system, and its technical functions as well as to find out the current situation of SWHS, which has been already installed on the territory of Astana, Kazakhstan. Based on the interview results and literature review, a House of Quality (HoQ) for solar heating water systems was developed. In addition, the geographical assessment of Kazakhstan territory in terms of sunny days, and the availability of system components were discussed in this paper.
Keywords: Solar heating water systems;SHWS;HWS;Kazakhstan;House of quality;Functional flow block diagram
Title: Systems Engineering Approach for Designing Electrical Vehicle for Shell Eco-Marathon
Abstract: The goal of this project was to understand and apply System Engineering tools and concepts for the development of an electric vehicle for the Shell Eco-Marathon competition was chosen as a platform for system engineering analysis. A detailed description, primary requirements, risks, and mitigation plan were identified using the Functional Flow Block Diagram, N2 matrix, and House of Quality. Cost analysis has been performed. With the help of this project, the electric vehicle was assembled according to the requirements and successfully passed a technical inspection.
Keywords: systems engineering;shell eco-marathon;vehicle design;HoQ;FFBD;N2 matrix
Review score: Moderate
Review comment: The work is about system engineering (SE) applied in electric vehicle assembly. SE includes requirement traceability, detailed design as FFBD, and cost and risk analysis. 

This study can be improved by highlighting why exactly HoQ and N^2 matrices were chosen as SE tools rather than other methods. The interpretation of Figure 2 is lacking, it is unclear what summing yellow row and blue column represent, and how the values are identified. It is suggested to include the contribution of used SE tools, as showing what technical inspection aspects were significantly affected (improved or calculated) in results part and how they are associated with energy consumption result.
Title: Systems Engineering Approach for Designing Electrical Vehicle for Shell Eco-Marathon
Abstract: The goal of this project was to understand and apply System Engineering tools and concepts for the development of an electric vehicle for the Shell Eco-Marathon competition was chosen as a platform for system engineering analysis. A detailed description, primary requirements, risks, and mitigation plan were identified using the Functional Flow Block Diagram, N2 matrix, and House of Quality. Cost analysis has been performed. With the help of this project, the electric vehicle was assembled according to the requirements and successfully passed a technical inspection.
Keywords: systems engineering;shell eco-marathon;vehicle design;HoQ;FFBD;N2 matrix
Review score: Moderate
Review comment: The paper shows the result of successfully finished project on assembling of an electric vehicle. The  research applies the System Engineering tools and concepts in development of an electric vehicle for the Shell Eco-Marathon competition. The electric vehicle has been assembled according to the requirements and successfully passed a technical inspection.
Title: The Updated Tool for Selecting Projects for the Target Programs of Sustainable Energy Development
Abstract: The article reflects the content and innovations of the PRAIP software complex, designed for the evaluation and ranking of investment projects. Relying on trend modeling methods, the PRAIP complex provides a step-by-step arrangement of institutionally, territorially, and financially disparate projects into target programs of sustainable energy development. Special program modules as part of the PRAIP complex make it possible to reliably identify social and financial efficiency from the implementation of energy-efficient measures - both as a whole according to the target program and within its components (projects).
Keywords: Investment programs;PRAIP program complex;sustainable energy development;financial and economic criteria;ranking of investment projects;energy-efficient measures;alternative energy sources;technical and economic indicators;trend modeling methods
Review score: Moderate
Review comment: Firstly, it is suggested to maintain page limit and template requirements.

Secondly, the study needs improvement in result visualisation and its interpretation. The work has huge data and numerical results that can be replaced with some graphical representation that will highlight any trend in results. For example, in conclusion, it says that the PRAIP program can reduce mechanical errors that were not seen in the result provided.

Also, it is recommended to better organize the paper according to the features of PRAIP so that it will highlight and explain the use and significane of the software. 

Lastly, the thesis statement (aim) of the work is not clear.
Title: The Updated Tool for Selecting Projects for the Target Programs of Sustainable Energy Development
Abstract: The article reflects the content and innovations of the PRAIP software complex, designed for the evaluation and ranking of investment projects. Relying on trend modeling methods, the PRAIP complex provides a step-by-step arrangement of institutionally, territorially, and financially disparate projects into target programs of sustainable energy development. Special program modules as part of the PRAIP complex make it possible to reliably identify social and financial efficiency from the implementation of energy-efficient measures - both as a whole according to the target program and within its components (projects).
Keywords: Investment programs;PRAIP program complex;sustainable energy development;financial and economic criteria;ranking of investment projects;energy-efficient measures;alternative energy sources;technical and economic indicators;trend modeling methods
Review score: Low
Review comment: The structure of the paper was not well organised. It can be seen that the article was collected from the another reviously prepared materials. Paper is not matching to requirements of the conference -16 pages. The authors also did not take care of the style of academic English, some sentences are incomprehensible. Too big Tables. Reference style was not well organised. Very simple message from the Figure 2. Very simple forecasting method were used (least squares, moving average).
Title: Voice Recognition Methods and Modules for the Development of an Intelligent Virtual Consultant Integrated with WEB-ERP
Abstract: There were explored the methods and modules of voice recognition for the development of an intelligent virtual consultant, which plays an important role as an auxiliary tool when working with business process information systems and more precisely with the ERP system in this article. This study is intended to characterize an intelligent virtual consultant in evaluating the usefulness and effectiveness of using specific functions in a simulated enterprise resource planning (ERP) business process software system. The intelligent virtual consultant is integrated with the Web-ERP prototype. The Mel-frequency-Cepstral coefficient algorithm was utilized in conjunction with the Levenberg-Marquardt (LM) and Broyden-Fletcher-Goldfarb-Shanno (BFGS) methods as the underlying basis for the analysis and extraction of features. A comparative analysis of these methods was also given to identify the effectiveness of used methods. A great benefit of this virtual consultant is the voice input of long text data fields when working on Web-ERP. This system is relevant because it significantly expands the search for business workflows. The developed system makes it possible to convert speech into text by extracting information system instructions. These texts are passed to an ontological database in which a query is executed using terms in order to get a set of available commands for its execution. When implementing an intelligent virtual consultant, it increases the capabilities of the application using not only user navigation through the system, but also makes it possible to navigate and explain data using speech synthesis. This prototype developed in the research will be used in a combination of an intelligent virtual consultant and data analysis.
Keywords: intelligent virtual consultant;voice recognition;voice control;ontological database;business processes;ERP
Review score: Moderate
Review comment: Generally It is good papper.
Title: Voice Recognition Methods and Modules for the Development of an Intelligent Virtual Consultant Integrated with WEB-ERP
Abstract: There were explored the methods and modules of voice recognition for the development of an intelligent virtual consultant, which plays an important role as an auxiliary tool when working with business process information systems and more precisely with the ERP system in this article. This study is intended to characterize an intelligent virtual consultant in evaluating the usefulness and effectiveness of using specific functions in a simulated enterprise resource planning (ERP) business process software system. The intelligent virtual consultant is integrated with the Web-ERP prototype. The Mel-frequency-Cepstral coefficient algorithm was utilized in conjunction with the Levenberg-Marquardt (LM) and Broyden-Fletcher-Goldfarb-Shanno (BFGS) methods as the underlying basis for the analysis and extraction of features. A comparative analysis of these methods was also given to identify the effectiveness of used methods. A great benefit of this virtual consultant is the voice input of long text data fields when working on Web-ERP. This system is relevant because it significantly expands the search for business workflows. The developed system makes it possible to convert speech into text by extracting information system instructions. These texts are passed to an ontological database in which a query is executed using terms in order to get a set of available commands for its execution. When implementing an intelligent virtual consultant, it increases the capabilities of the application using not only user navigation through the system, but also makes it possible to navigate and explain data using speech synthesis. This prototype developed in the research will be used in a combination of an intelligent virtual consultant and data analysis.
Keywords: intelligent virtual consultant;voice recognition;voice control;ontological database;business processes;ERP
Review score: Moderate
Review comment: The article contributes to the field of intelligent virtual consultants and provides a novel approach to using voice recognition technology in a simulated ERP system. The article helps to fill the knowledge gap in the area of voice recognition technology and intelligent virtual consultants for ERP systems.

The quality of pictures must be improved. 

The authors could expand on the potential benefits of the intelligent virtual consultant, such as how it could increase the efficiency and productivity of business processes in an enterprise. They could also provide more information on how the prototype will be used for further research on the combination of intelligent virtual consultant and data analysis.

The authors could discuss any limitations or challenges encountered during the development and evaluation of the intelligent virtual consultant and suggest future directions for research.
Title: Disposal of Solid Household Waste Using Computer Vision
Abstract: Practical significance of the study: In the XXI century, the problem of ecology is especially relevant. Humanity has gradually come to understand that the planet we live on needs to be protected not only in terms of nutrition and living conditions. The main sources of pollution are household waste, the amount of which increases over time. This is due to population growth. Then the consumption increases. In this regard, automation of sorting of household waste is of great importance. One of the most important problems is the sorting of waste. Now many countries use manual sorting. First, it generates mass infections and different types of diseases. Secondly, in the modern world, where it is possible to create artificial intelligence that could do this whole process, people work everywhere. By creating artificial intelligence to decrease the number of personnel, it is also possible to create the best ecosystem of all time.
Keywords: household waste;pattern recognition;modeling;household appliances
Review score: High
Review comment: Good article
Title: Disposal of Solid Household Waste Using Computer Vision
Abstract: Practical significance of the study: In the XXI century, the problem of ecology is especially relevant. Humanity has gradually come to understand that the planet we live on needs to be protected not only in terms of nutrition and living conditions. The main sources of pollution are household waste, the amount of which increases over time. This is due to population growth. Then the consumption increases. In this regard, automation of sorting of household waste is of great importance. One of the most important problems is the sorting of waste. Now many countries use manual sorting. First, it generates mass infections and different types of diseases. Secondly, in the modern world, where it is possible to create artificial intelligence that could do this whole process, people work everywhere. By creating artificial intelligence to decrease the number of personnel, it is also possible to create the best ecosystem of all time.
Keywords: household waste;pattern recognition;modeling;household appliances
Review score: Moderate
Review comment: The recommendation is to add about the algorithm used in your source code and add a mathematical model.
Number the tables.
Title: Performance Analysis of Scaling NoSQL vs SQL: A Comparative Study of MongoDB, Cassandra, and PostgreSQL
Abstract: This study aims to investigate state-of-the-art methods for scalable database management, focusing on cost-effectiveness. The study compares two commonly used NoSQL databases, MongoDB, and Cassandra DB, with a traditional relational database management system, PostgreSQL. The comparison is made through performance evaluations conducted on multiple clusters encompassing cloud and on-premises environments. The evaluations include database operations such as insertion, selection, and deletion. The study results indicate that each database management system is optimized for particular use cases. The choice must be based on a comprehensive assessment of multiple factors, not limited to scalability and performance. The novelty of this study lies in its scalability comparison of three popular database management systems and its emphasis on cost-effectiveness while evaluating performance in different environments.
Keywords: Database;SQI;NoSQL;Performance test;Scalability
Review score: Low
Review comment: It seems that the submission and revision versions of the paper are the same. There is no statements about novelty of work in the paper. Some paper submission requirements are not met, e.g. "Use a minimum of 10 references per paper". 
Figure 2 on page 3 is not visible. English needs a little improvement.
Title: Performance Analysis of Scaling NoSQL vs SQL: A Comparative Study of MongoDB, Cassandra, and PostgreSQL
Abstract: This study aims to investigate state-of-the-art methods for scalable database management, focusing on cost-effectiveness. The study compares two commonly used NoSQL databases, MongoDB, and Cassandra DB, with a traditional relational database management system, PostgreSQL. The comparison is made through performance evaluations conducted on multiple clusters encompassing cloud and on-premises environments. The evaluations include database operations such as insertion, selection, and deletion. The study results indicate that each database management system is optimized for particular use cases. The choice must be based on a comprehensive assessment of multiple factors, not limited to scalability and performance. The novelty of this study lies in its scalability comparison of three popular database management systems and its emphasis on cost-effectiveness while evaluating performance in different environments.
Keywords: Database;SQI;NoSQL;Performance test;Scalability
Review score: Low
Review comment: When comparing databases, the emphasis is on comparing the execution time of operations, but nothing is described about the structure of the data in these databases. It would be useful to describe how these databases integrate with other software products, the cost of the support provided by the developers, as well as the ease of use.  Figure 2 is not displayed.