Arailym-tleubayeva/sist-english-corpus huggingface dataset:
Title: Deep Learning based Framework for Option Price Forecasting
Abstract: This study investigates the effectiveness of a novel ConvLSTM network in predicting option prices within financial markets. Option pricing remains a pivotal aspect of financial decision-making, yet traditional models often struggle to capture the intricate dynamics inherent in market behavior. Leveraging the capabilities of deep learning, particularly the fusion of CNN and LSTM architectures, the proposed ConvLSTM model aims to address these limitations by effectively learning spatial and temporal dependencies within financial data. Through empirical evaluation utilizing data collected from the US stock markets spanning from April 2018 to June 2020, the ConvLSTM model demonstrates remarkable predictive accuracy, achieving a precision rate of approximately 92% over 200 epochs. Furthermore, visual representations corroborate the model's efficacy, showcasing its ability to closely align predicted option prices with observed values. This research contributes to the ongoing discourse on deep learning applications in financial forecasting, offering insights into the potential of ConvLSTM networks to enhance risk management strategies and inform investment decisions in dynamic and volatile market environments.
Keywords: Option price forecasting;artificial intelligence;deep learning
Review score: Moderate
Review comment: An article on a very relevant topic. The author has not made a comparative analysis with similar scientific results. In what ways is his scientific result better than its analogues (critical analysis). The article needs to be updated to fit the topic of the conference. Strengthen the connection of this article with the conference profile (Intelligent Systems). Also, the author did not analyze publications in high-ranking journals or IEEE conference proceedings (Q1-Q3), which are indexed in Scopus or Web of Science.
I recommend accepting the article after revision.
Title: Fuzzy Inference System for Test Case Prioritization in Software Testing
Abstract: In the realm of software development, testing is crucial for ensuring software quality and adherence to requirements. However, it can be time-consuming and resource-intensive, especially when dealing with large and complex software systems. Test case prioritization (TCP) is a vital strategy to enhance testing efficiency by identifying the most critical test cases for early execution. This paper introduces a novel fuzzy logic-based approach to automate TCP, using fuzzy linguistic variables and expert-derived fuzzy rules to establish a link between test case characteristics and their prioritization. Our methodology utilizes two fuzzy variables—failure rate and execution time—alongside two crisp parameters: Prerequisite Test Case and Recently Updated Flag. Our findings demonstrate the proposed system’s capacity to rank test cases effectively through experimental validation on a real-world software system. The results affirm the practical applicability of our approach in optimizing the TCP and reducing the resource intensity of software testing.
Review score: Moderate
Review comment: There is ambiguity in the definition of the approach to development used in the article, moving from the terms "method", "algorithm" to "methodology". To increase clarity and concreteness, it is recommended to clarify the terms used and clearly define the methodology or algorithm within the framework of development.
The topic of the article "Prioritizing test suites in software testing: a fuzzy logic approach" does not contain specifics on the methods and algorithms used. It is recommended to supplement the title of the article to reflect the main method or algorithm used in the work, which will help readers better understand the content and objectives of the study.
Overall, the paper has the potential to make an important contribution to the field of software testing using fuzzy logic. However, for further refinement and clarity, it is proposed to edit taking into account the above recommendations.
Title: Fuzzy Inference System for Test Case Prioritization in Software Testing
Abstract: In the realm of software development, testing is crucial for ensuring software quality and adherence to requirements. However, it can be time-consuming and resource-intensive, especially when dealing with large and complex software systems. Test case prioritization (TCP) is a vital strategy to enhance testing efficiency by identifying the most critical test cases for early execution. This paper introduces a novel fuzzy logic-based approach to automate TCP, using fuzzy linguistic variables and expert-derived fuzzy rules to establish a link between test case characteristics and their prioritization. Our methodology utilizes two fuzzy variables—failure rate and execution time—alongside two crisp parameters: Prerequisite Test Case and Recently Updated Flag. Our findings demonstrate the proposed system’s capacity to rank test cases effectively through experimental validation on a real-world software system. The results affirm the practical applicability of our approach in optimizing the TCP and reducing the resource intensity of software testing.
Review score: High
Review comment: Dear authors the presented material is quite novel and relevant. One minor comment that you should fix reference 22  "——, “Prioritization of test cases using software agents and fuzzy logic,” Proceedings - IEEE 5th International Conference on Software Testing, Verification and Validation, ICST 2012, pp. 483–486, 2012."
Title: Methods and models of decision-making regarding energy saving in communal facilities based on Delphi method
Abstract: The issue of enterprise energy efficiency is very important for many state structures. Due to budget limits and access to certain technologies, there are cases where the company must make optimal decisions. This article describes the problem of implementing energy efficiency development in communal companies. For the development of decision-making regarding energy efficiency, expert methods were proposed and investigated. Expert methods help to make conscious decisions of various specialists. Among the expert methods, the Delphi expert method was chosen. The Delphi method allows to question experts with the opinions of other experts. In this way, experts will provide opinions on the analytics of other experts and make compromises. The method of carrying out the Delphi method was described. The Delphi method was modified to save time and public funds. A scoring scale was used to obtain more information from experts. The model for energy efficiency of communal facilities was described. The possible integration of the Delphi method with the help of web applications was considered.
Keywords: methods;experts;Delphi;energy saving;communal facilities;Internet of Things;informatinal technologies;web application
Review score: Moderate
Review comment: The idea presented in article is novel and improves the application of the Delphi. However, the hypothesis is not clear as the equation proposed has no background. It is advised to mathematically describe it.
Title: Methods and models of decision-making regarding energy saving in communal facilities based on Delphi method
Abstract: The issue of enterprise energy efficiency is very important for many state structures. Due to budget limits and access to certain technologies, there are cases where the company must make optimal decisions. This article describes the problem of implementing energy efficiency development in communal companies. For the development of decision-making regarding energy efficiency, expert methods were proposed and investigated. Expert methods help to make conscious decisions of various specialists. Among the expert methods, the Delphi expert method was chosen. The Delphi method allows to question experts with the opinions of other experts. In this way, experts will provide opinions on the analytics of other experts and make compromises. The method of carrying out the Delphi method was described. The Delphi method was modified to save time and public funds. A scoring scale was used to obtain more information from experts. The model for energy efficiency of communal facilities was described. The possible integration of the Delphi method with the help of web applications was considered.
Keywords: methods;experts;Delphi;energy saving;communal facilities;Internet of Things;informatinal technologies;web application
Review score: Moderate
Review comment: Читателю не совсем понятно в чем вклад авторов, необходимо в более явном виде его представить. Отсутствует или слабо представлена математическая часть, которая лежит в основе исследований, необходимо добавить. Необходимы правки по оформлению, придерживайтесь шаблона. Необходимы улучшения в структуре рукописи - в более явном виде прописать цель исследования, задачи, и полученные результаты
Title: Design of Technology for Secure File Storage Based on Hybrid Cryptography Methods: Short Overview
Abstract: In the era of pervasive digital data, ensuring secure file storage has become a paramount concern. This paper explores the significance of hybrid cryptography for design of an advanced tools and techniques for secure file storage. Hybrid cryptography, combining symmetric and asymmetric encryption, offers robust protection against unauthorized access, tampering, and data loss. The article reviews recent cryptography literature, highlighting the importance of secure file storage in today's interconnected world and examining the benefits of hybrid cryptography. The analysis of articles on cryptography reveals emerging trends and challenges. Post-quantum cryptography addresses concerns about quantum threats, while blockchain-based cryptography enhances security in IoT data sharing. Homomorphic encryption enables computations on encrypted data, and cryptographic protocols that protect privacy enable safe multi-party computation. Machine learning's intersection with cryptanalysis introduces efficiency but raises ethical considerations. The paper further discusses advancements and trends in cryptography techniques, including post-quantum cryptography, homomorphic encryption, zero-knowledge proofs, post-quantum key exchange, secure multi-party computation, and post-quantum signature schemes. These developments aim to ensure long-term security against quantum attacks, enable privacy-preserving computations, and enhance the confidentiality, integrity, and authentication of digital communication and data storage. In conclusion, the paper advocates for the adoption of hybrid cryptography in secure file storage systems. Its combination of symmetric and asymmetric encryption, along with its adaptability to evolving security landscapes, positions hybrid cryptography as a formidable approach to data protection. By embracing hybrid cryptography and staying informed about the latest advancements, organizations can navigate the digital age with confidence, ensuring the confidentiality, integrity, and availability of stored files.
Keywords: cryptography;analysis;secure storage;secure transmission;encryption.
Review score: Moderate
Review comment: The article describes a good literature review according to the DESIGN OF TECHNOLOGY FOR SECURE FILE STORAGE BASED ON HYBRID CRYPTOGRAPHY METHODS. The contribition of the paper is not clear, the literuture review provided does not allow the reader to understand the contribution of the paper with respect to previous published literature. Authors are advised to proceed with highlighting the novelty of research. The research did not include any comparing graphs and schematic diagrams.
Title: Design of Technology for Secure File Storage Based on Hybrid Cryptography Methods: Short Overview
Abstract: In the era of pervasive digital data, ensuring secure file storage has become a paramount concern. This paper explores the significance of hybrid cryptography for design of an advanced tools and techniques for secure file storage. Hybrid cryptography, combining symmetric and asymmetric encryption, offers robust protection against unauthorized access, tampering, and data loss. The article reviews recent cryptography literature, highlighting the importance of secure file storage in today's interconnected world and examining the benefits of hybrid cryptography. The analysis of articles on cryptography reveals emerging trends and challenges. Post-quantum cryptography addresses concerns about quantum threats, while blockchain-based cryptography enhances security in IoT data sharing. Homomorphic encryption enables computations on encrypted data, and cryptographic protocols that protect privacy enable safe multi-party computation. Machine learning's intersection with cryptanalysis introduces efficiency but raises ethical considerations. The paper further discusses advancements and trends in cryptography techniques, including post-quantum cryptography, homomorphic encryption, zero-knowledge proofs, post-quantum key exchange, secure multi-party computation, and post-quantum signature schemes. These developments aim to ensure long-term security against quantum attacks, enable privacy-preserving computations, and enhance the confidentiality, integrity, and authentication of digital communication and data storage. In conclusion, the paper advocates for the adoption of hybrid cryptography in secure file storage systems. Its combination of symmetric and asymmetric encryption, along with its adaptability to evolving security landscapes, positions hybrid cryptography as a formidable approach to data protection. By embracing hybrid cryptography and staying informed about the latest advancements, organizations can navigate the digital age with confidence, ensuring the confidentiality, integrity, and availability of stored files.
Keywords: cryptography;analysis;secure storage;secure transmission;encryption.
Review score: Moderate
Review comment: The article is of an overview nature – it contradicts the topic of the conference. It is recommended to supplement the materials from the conducted research (models, applied or developed methods, algorithms, experimental results, etc.). The mathematical part that underlies the research is missing or poorly represented, it is necessary to add. Necessary design edits, stick to the template. The reader does not quite understand what the contribution of the authors is, it is necessary to present it in a more explicit form.
Title: Quantum Computing In the Object-Oriented Model of Quality Management
Abstract: In this article, the authors describe the structure of their proposed model, in which the processing of uncertainties arising in the process of the activities of organizations and enterprises is carried out with the help of artificial intelligence. A knowledge model is built based on existing facts about risks using imitation and encapsulation borrowed from object-oriented design. The processing of the obtained data takes place as a result of the construction of this model with the involvement of methods of the most promising and advanced direction in modern scientific research in various fields - quantum computing.
Keywords: quantum;frame;imitation;superposition;operator pair
Review score: High
Review comment: Incorrect order of references.
The use of AI is mentioned in the abstract, however, this part is missing in the article.
The connection between decision-making process and quantum computing is not explicitly described.
The conclusion is incomplete.
Title: Quantum Computing In the Object-Oriented Model of Quality Management
Abstract: In this article, the authors describe the structure of their proposed model, in which the processing of uncertainties arising in the process of the activities of organizations and enterprises is carried out with the help of artificial intelligence. A knowledge model is built based on existing facts about risks using imitation and encapsulation borrowed from object-oriented design. The processing of the obtained data takes place as a result of the construction of this model with the involvement of methods of the most promising and advanced direction in modern scientific research in various fields - quantum computing.
Keywords: quantum;frame;imitation;superposition;operator pair
Review score: Moderate
Review comment: The authors proposed structural models in which processing of uncertainties arising in the process of activities of organizations and enterprises is carried out with the help of artificial intelligence. But from a scientific point of view, there is no formal or mathematical description of the proposed models.
Title: Development of Augmented Reality System for Additive Manufacturing
Abstract: Additive Manufacturing (AM) is becoming increasingly prevalent in diverse industries due to its ability to manufacture intricate and unique components at lower production costs. Despite its advantages in design flexibility and waste reduction, AM presents new challenges in real-time visibility, control mechanisms, and user interfaces. While existing web interfaces like OctoPrint offer partial solutions for monitoring the 3D printing process, Augmented Reality (AR) interfaces hold promise in enhancing real-time control and monitoring by overlaying computer-generated information onto the physical manufacturing environment. However, research on utilizing AR for remote collaboration and control of AM machines remains limited. This paper addresses this gap by proposing designing and developing an application that integrates an AR interface with a Fused Deposition Modeling (FDM) printer, enabling remote monitoring and control using Microsoft's AR headset, HoloLens2. The proposed system incorporates the usage of open-source projects such as OctoPrint for retrieving data from 3D printer, Printerface for establishing communication between 3D printer and desktop server, Mixed Reality Toolkit (MRTK) for the development of AR interface, and enterprise Photon Unity Networking 2 (PUN2) to establish the connection and achieve real-time communication with minimum latency close to 937 milliseconds. The measured time for data transmission between Octoprint and Unity Desktop Server is 0.01569 milliseconds and 936 milliseconds between Unity Desktop Server and AR client.
Keywords: additive manufacturing;augmented reality;hololens2;3D printing;augmented interfaces;monitoring;control
Review score: High
Review comment: Some references seems not in IEEE style. This article showcases a strong academic approach, with clear analysis and well-supported arguments. The author's thorough research enhances understanding on the topic.
Title: Development of Augmented Reality System for Additive Manufacturing
Abstract: Additive Manufacturing (AM) is becoming increasingly prevalent in diverse industries due to its ability to manufacture intricate and unique components at lower production costs. Despite its advantages in design flexibility and waste reduction, AM presents new challenges in real-time visibility, control mechanisms, and user interfaces. While existing web interfaces like OctoPrint offer partial solutions for monitoring the 3D printing process, Augmented Reality (AR) interfaces hold promise in enhancing real-time control and monitoring by overlaying computer-generated information onto the physical manufacturing environment. However, research on utilizing AR for remote collaboration and control of AM machines remains limited. This paper addresses this gap by proposing designing and developing an application that integrates an AR interface with a Fused Deposition Modeling (FDM) printer, enabling remote monitoring and control using Microsoft's AR headset, HoloLens2. The proposed system incorporates the usage of open-source projects such as OctoPrint for retrieving data from 3D printer, Printerface for establishing communication between 3D printer and desktop server, Mixed Reality Toolkit (MRTK) for the development of AR interface, and enterprise Photon Unity Networking 2 (PUN2) to establish the connection and achieve real-time communication with minimum latency close to 937 milliseconds. The measured time for data transmission between Octoprint and Unity Desktop Server is 0.01569 milliseconds and 936 milliseconds between Unity Desktop Server and AR client.
Keywords: additive manufacturing;augmented reality;hololens2;3D printing;augmented interfaces;monitoring;control
Review score: Moderate
Review comment: Comment-1:

Abstract:
Please provide some numerical results in abstract and the whole paper so that a reader could grasp the whole idea, in terms of latency for example.
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Within this interface, users gain access to a real-time simulation of the 3D printing process, accompanied by significant printer information such as nozzle temperature, remaining time for the ongoing print job, etc. 
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Comment-2: 
Based on the above excerpt, please do not use etc., the authors are expected to be more specific while mentioning process parameters for FDM. Since you are aiming to make bi-directional communication, it is important to explicitly mention
Comment-3:
Can you use other headsets other than HoloLens2, is it adaptable with others? Please emphasize that as well.

Comment-4:
Can you briefly specify details on the authentication method employed for secure access (as it is believe to be the most important factor in accessing 3D printer at least with virtual one), to the 3D printing process, including protocols or methods potentially expected to be used.
Comment-5:
Could you please quantitatively specify at least briefly mention some metrics such as data transmission latency, data visualization accuracy, and user satisfaction scores for evaluating the system's performance(if applicable, of course) 
Overall, the paper is very well crafted