Arailym-tleubayeva/sist-english-corpus huggingface dataset:
Title: Control of Deterministic Chaotic Modes in Power Systems
Abstract: The paper examines a new approach to controlling deterministic dynamical chaotic mode of power system with two electric generate-sources. A control law is synthesized in the class of one-parameter structurally stable mappings from catastrophe theory. Analytical calculations and a numerical experiment in MatLab showed that the proposed system excludes the generation of a deterministic chaotic mode for any changes in the uncertain system parameters. The study of the control system is carried out by the gradient-velocity method Lyapunov vector functions
Keywords: nonlinear system;control systems;stability of an electrical systems;method of vector function of A.M. Lyapunov;chaotic modes
Review score: Moderate
Review comment: The thesis statement, contribution, and conclusion of the work are not clear. The question rises about control of the chaotic process: how a chaotic trajectory represents control? The result part and its interpretation need improvement.  It is unclear what the uncertain parameters are and what they affect in controlling the chaotic mode.
Title: Streamlining Brain Tumor Classification with Custom Transfer Learning in MRI Images
Abstract: Brain tumors are increasingly prevalent, characterized by the uncontrolled spread of aberrant tissues in the brain, with almost 700,000 new cases diagnosed globally each year. Magnetic Resonance Imaging (MRI) is commonly used for the diagnosis of brain tumors and accurate classification is a critical clinical procedure. In this study, we propose an efficient solution for classifying brain tumors from MRI images using custom transfer learning networks. While several researchers have employed various pre-trained architectures such as RESNET-50, ALEXNET, VGG-16, and VGG-19, these methods often suffer from high computational complexity. To address this issue, we present a custom and lightweight model using a Convolutional Neural Network-based pre-trained architecture with reduced complexity. Specifically, we employ the VGG-19 architecture with additional hidden layers, which reduces the complexity of the base architecture but improves computational efficiency. The objective is to achieve high classification accuracy using a novel approach. Finally, the result demonstrates a classification accuracy of 96.42%.
Keywords: VGG19;Brain Tumor Classification;Transfer Learning;Image Processing;Deep Learning
Review score: Moderate
Review comment: In this article, the authors present an efficient solution for classifying brain tumors from MRI images using custom transfer learning networks.
The value of the article is that the authors made an analysis of existing methods such as RESNET-50, ALEXNET, VGG-16 and VGG-19. But these methods have their shortcomings in brain tumor detection, so the authors proposed their own method based on a reduced complexity convolutional neural network (CNN), namely the VGG-19 architecture with additional hidden layers, which reduces the complexity of the underlying architecture, but increases the computational efficiency . The result demonstrates a classification accuracy of 96.42%, which indicates the effectiveness of the proposed method.
Title: Streamlining Brain Tumor Classification with Custom Transfer Learning in MRI Images
Abstract: Brain tumors are increasingly prevalent, characterized by the uncontrolled spread of aberrant tissues in the brain, with almost 700,000 new cases diagnosed globally each year. Magnetic Resonance Imaging (MRI) is commonly used for the diagnosis of brain tumors and accurate classification is a critical clinical procedure. In this study, we propose an efficient solution for classifying brain tumors from MRI images using custom transfer learning networks. While several researchers have employed various pre-trained architectures such as RESNET-50, ALEXNET, VGG-16, and VGG-19, these methods often suffer from high computational complexity. To address this issue, we present a custom and lightweight model using a Convolutional Neural Network-based pre-trained architecture with reduced complexity. Specifically, we employ the VGG-19 architecture with additional hidden layers, which reduces the complexity of the base architecture but improves computational efficiency. The objective is to achieve high classification accuracy using a novel approach. Finally, the result demonstrates a classification accuracy of 96.42%.
Keywords: VGG19;Brain Tumor Classification;Transfer Learning;Image Processing;Deep Learning
Review score: Moderate
Review comment: The paper is of sufficient quality and novelty for presentational at an international conference. This reviewer has a few comments as follows:

1. Neither use letter x (which is an alphabet) nor Asterisk * (which represents convolution) to indicate multiplication. Either no symbol is needed and simply write ab to shows that a is multiplied by b; or use the symbol cross.

2. Define and use abbreviations in a consistent manner.

3. Please figures on top position of column/page and avoid mixed presentation of Figure+Text+Figure+Text as seen on Page 2, for example.

4. Improve the presentation and description of Equations (1) to (4).

5. Result presented in Table III indicate that "Some of exiting method outperform the proposed methodology". Some more insight and description is need for such observation.
Title: Optimizing GPS and Gyroscope Data for Military Missions
Abstract: The use of unmanned aerial vehicles (UAVs) in military missions has greatly increased in recent years. To ensure precise and efficient movements, it is essential to estimate the UAV's orientation accurately. Two commonly used methods for this estimation are the Kalman filter and the Madgwick filter. In this article, we present a method to combine Kalman and Madgwick filters to optimize the orientation estimation of a UAV in military missions. The Kalman filter estimates the orientation with low noise and high accuracy. In contrast, the Madgwick filter is used to correct the orientation quickly in the presence of rapid changes. Our results show that combining these two filters leads to better orientation estimation than using either filter separately. This improved orientation estimation leads to more precise and efficient UAV movements, making it an essential tool for military missions. The proposed method is verified through simulations and experiments, including an Arduino model with a gyroscope and GPS tracker. This method can be easily integrated into the existing control systems of UAVs. It can be adapted to different missions, providing valuable insights for researchers and engineers in the UAV control field. The combination of the Kalman and Madgwick filters offers a robust solution to the challenge of orientation estimation, providing a reliable and efficient tool for a specific purpose
Keywords: kalman filter;madgwick filter;gyroscope;accelerometer;magnetometer
Review score: High
Review comment: The authors of the article demonstrated good knowledge in subject area. Well done.
Title: Optimizing GPS and Gyroscope Data for Military Missions
Abstract: The use of unmanned aerial vehicles (UAVs) in military missions has greatly increased in recent years. To ensure precise and efficient movements, it is essential to estimate the UAV's orientation accurately. Two commonly used methods for this estimation are the Kalman filter and the Madgwick filter. In this article, we present a method to combine Kalman and Madgwick filters to optimize the orientation estimation of a UAV in military missions. The Kalman filter estimates the orientation with low noise and high accuracy. In contrast, the Madgwick filter is used to correct the orientation quickly in the presence of rapid changes. Our results show that combining these two filters leads to better orientation estimation than using either filter separately. This improved orientation estimation leads to more precise and efficient UAV movements, making it an essential tool for military missions. The proposed method is verified through simulations and experiments, including an Arduino model with a gyroscope and GPS tracker. This method can be easily integrated into the existing control systems of UAVs. It can be adapted to different missions, providing valuable insights for researchers and engineers in the UAV control field. The combination of the Kalman and Madgwick filters offers a robust solution to the challenge of orientation estimation, providing a reliable and efficient tool for a specific purpose
Keywords: kalman filter;madgwick filter;gyroscope;accelerometer;magnetometer
Review score: High
Review comment: This article does not describe the mathematical models of the filters and it is not clear how the results were obtained.
Title: Modeling the Process of Assessing the Technical Condition of Damaged Real Estate Objects
Abstract: More than 160 thousand properties have already been registered on the territory of Ukraine as destroyed and damaged real estate objects as a result of hostilities. At present, houses, buildings and infrastructure objects in almost all regions of the country continue to experience damage and destruction. The reconstruction of so many objects that have suffered destruction and damage of different levels requires the creation of a publicly available, high-load distributed information and communication system to support decisions that will be made in the process of rebuilding of the country. The speed and reliability of such system depends on the architecture of its database. The data model for cataloging damaged buildings and structures, which will be used in MongoDB in the future, is given. The conclusion about the practicability of using MongoDB is made on the basis of an analysis of modern non-relational databases, taking into account the functional purposes of the Infocommunication System. The logical structure of the database and its main parts are defined and described. The scientific novelty of this study lies in the formation of fuzzy production models that adequately reproduce the associative thinking of experts when assessing the technical condition of objects that were affected by impact of hostilities that took place nearby.
Keywords: building;high-load distributed system;fuzzy models;MongoDB;non-relational database
Review score: Low
Review comment: The scientific novelty is not apparent. The article should contain research results, mathematical or simulation models, experimental results, etc.
Title: Modeling the Process of Assessing the Technical Condition of Damaged Real Estate Objects
Abstract: More than 160 thousand properties have already been registered on the territory of Ukraine as destroyed and damaged real estate objects as a result of hostilities. At present, houses, buildings and infrastructure objects in almost all regions of the country continue to experience damage and destruction. The reconstruction of so many objects that have suffered destruction and damage of different levels requires the creation of a publicly available, high-load distributed information and communication system to support decisions that will be made in the process of rebuilding of the country. The speed and reliability of such system depends on the architecture of its database. The data model for cataloging damaged buildings and structures, which will be used in MongoDB in the future, is given. The conclusion about the practicability of using MongoDB is made on the basis of an analysis of modern non-relational databases, taking into account the functional purposes of the Infocommunication System. The logical structure of the database and its main parts are defined and described. The scientific novelty of this study lies in the formation of fuzzy production models that adequately reproduce the associative thinking of experts when assessing the technical condition of objects that were affected by impact of hostilities that took place nearby.
Keywords: building;high-load distributed system;fuzzy models;MongoDB;non-relational database
Review score: High
Review comment: English needs a little improvement. Related works could be complemented by an overview of open-source and proprietary systems which may be used for the same purpose.
Title: Algorithm of Coordination of Swarm of Autonomous Robots
Abstract: The task of keeping a specific geometric configuration while following a designated path is common in various fields that involve autonomous robots. When done correctly, this approach can result in several advantages, including a reduction in system costs and an increase in system reliability and efficiency, while maintaining the adaptability and flexibility of the system. The concept of maintaining a particular geometric pattern during motion is frequently utilized in different scenarios. For example, unmanned military vehicles must maintain a particular formation to explore and cover terrain during missions. Another example is in “Smart Highways,” where the traffic system's capacity can be enhanced significantly by having vehicles move in groups at the same speed while maintaining a certain distance between them. This research presents an algorithm that allows a group of self-governing mobile robots to move while maintaining a specific geometric structure. A behavior-based control algorithm is advanced to regulate the movement of these systems. The coordination of the robots within the system is accomplished through the implementation of a leader-follower technique, with virtual leader.
Keywords: robotic swarm;behavior-based approach;leader-follower
Review score: Moderate
Review comment: Authors used non-standard technical English. Some sentences lost its meaning. The minimum percentage of self-citation is 20%, this paper has 35% of self citation.  Some references are not correctly used in the context. I checked, several were not referencing the same information. For example, in reference [13] was no information about AI. The novelty is this paper is low, only experiment is shown.
Title: Algorithm of Coordination of Swarm of Autonomous Robots
Abstract: The task of keeping a specific geometric configuration while following a designated path is common in various fields that involve autonomous robots. When done correctly, this approach can result in several advantages, including a reduction in system costs and an increase in system reliability and efficiency, while maintaining the adaptability and flexibility of the system. The concept of maintaining a particular geometric pattern during motion is frequently utilized in different scenarios. For example, unmanned military vehicles must maintain a particular formation to explore and cover terrain during missions. Another example is in “Smart Highways,” where the traffic system's capacity can be enhanced significantly by having vehicles move in groups at the same speed while maintaining a certain distance between them. This research presents an algorithm that allows a group of self-governing mobile robots to move while maintaining a specific geometric structure. A behavior-based control algorithm is advanced to regulate the movement of these systems. The coordination of the robots within the system is accomplished through the implementation of a leader-follower technique, with virtual leader.
Keywords: robotic swarm;behavior-based approach;leader-follower
Review score: Moderate
Review comment: it is recommended to increase the abstract, in the literature review to provide a critical analysis of each source used, group references are recommended to be divided
Title: Method of Allocation of Labor Resources for IT Project Based on Expert Assessements of Delphi
Abstract: An essential component of the development and implementation of information systems is a clear definition of the project team, which is formed from possible options of company employees or freelancers in conditions of limited company resources. Based on the method of expert evaluation of Delphi, a study of qualifications and characteristics that are crucial for the implementation of project work on the development and implementation of IT projects, the level of significance of each parameter on the impact of the complex project is assessed, they are ranked according to the degree of importance for the project implementation; the critical parameters that entail the most significant project risks are identified. The importance of the selection of employees in the project team with certain levels of competence following the qualifications for the role performed and the appointment of responsible executors for project work according to their compliance is substantiated; the value of the qualification rank for different employees is taken into account in determining the type of work for which it will be assigned for the optimal distribution of all project work. The scientific novelty is to substantiate and evaluate the comparative importance of factors that limit the appointment of each developer to perform design work using the method of group expert evaluation of Delphi.
Keywords: project;expert assessments;ranking;project risks;concordance coefficient;rank of assessments
Review score: High
Review comment: The authors of the article demonstrated good knowledge in subject area. Well done.
Title: Method of Allocation of Labor Resources for IT Project Based on Expert Assessements of Delphi
Abstract: An essential component of the development and implementation of information systems is a clear definition of the project team, which is formed from possible options of company employees or freelancers in conditions of limited company resources. Based on the method of expert evaluation of Delphi, a study of qualifications and characteristics that are crucial for the implementation of project work on the development and implementation of IT projects, the level of significance of each parameter on the impact of the complex project is assessed, they are ranked according to the degree of importance for the project implementation; the critical parameters that entail the most significant project risks are identified. The importance of the selection of employees in the project team with certain levels of competence following the qualifications for the role performed and the appointment of responsible executors for project work according to their compliance is substantiated; the value of the qualification rank for different employees is taken into account in determining the type of work for which it will be assigned for the optimal distribution of all project work. The scientific novelty is to substantiate and evaluate the comparative importance of factors that limit the appointment of each developer to perform design work using the method of group expert evaluation of Delphi.
Keywords: project;expert assessments;ranking;project risks;concordance coefficient;rank of assessments
Review score: High
Review comment: This article is a well-written material, in which the relevant information is presented in a clear and concise manner. The author has provided all necessary calculations and the results are presented in detail, allowing the reader to easily understand and interpret the findings. Moreover, the conclusion is comprehensive and provides a complete summary of the main findings of the study. Overall, the article is a valuable contribution to the field and will undoubtedly be of interest to those who wish to gain a deeper understanding of the topic at hand.

It is highly recommended to provide separate comments on each source of literature. The use of a large range of literature references can be very beneficial to the credibility and validity of the research; however, if these sources are not effectively integrated into the text, the reader may find it difficult to understand their relevance and importance. Therefore, providing separate comments on each source of literature can help to clearly highlight the key ideas and contributions of each source.
Title: Trends of Digital Transformation in the Property Management Industry: A Systematic Literature Review
Abstract: After the Covid 19 pandemic, the property management industry is slowly starting to revive. Even though the occupancy rate has not returned to normal like the Covid19 pandemic, its growth is starting to move in a positive direction. The Covid19 pandemic has provided many lessons for all stakeholders in the property management industry. Digital transformation has become a part that has received important attention in the property management industry worldwide. With digital transformation in the property management industry, all stakeholders are expected to receive various benefits, directly or indirectly. The implementation of digital transformation will involve 6 components, namely: Strategy, Organization, Culture, Customer, People, and Technology. The implementation of digital transformation in the property management industry will require support from many parties, not only internal parties but also external parties. Technological developments, IoT, and demands from residents and property owners are challenges that must be answered by property managers. This systematic literature review will examine articles that have been published in the Scopus database regarding the development of digital transformation in the property management industry from various countries. The purpose of this SLR is to be able to see how the digital transformation trend and the application of its components are in the current property management industry.
Keywords: Property Management;Transformation Digital;Apartment;Systematic Literature Review
Review score: High
Review comment: The paper presented the good made literature review an consider the important and perspectiveness questions of the society and global world. Just a litle notes:
1. There are no reference to the table 4.1 before the presented in the text table 4.1. 
2. There are no a free space before Table 4.2.
Title: Trends of Digital Transformation in the Property Management Industry: A Systematic Literature Review
Abstract: After the Covid 19 pandemic, the property management industry is slowly starting to revive. Even though the occupancy rate has not returned to normal like the Covid19 pandemic, its growth is starting to move in a positive direction. The Covid19 pandemic has provided many lessons for all stakeholders in the property management industry. Digital transformation has become a part that has received important attention in the property management industry worldwide. With digital transformation in the property management industry, all stakeholders are expected to receive various benefits, directly or indirectly. The implementation of digital transformation will involve 6 components, namely: Strategy, Organization, Culture, Customer, People, and Technology. The implementation of digital transformation in the property management industry will require support from many parties, not only internal parties but also external parties. Technological developments, IoT, and demands from residents and property owners are challenges that must be answered by property managers. This systematic literature review will examine articles that have been published in the Scopus database regarding the development of digital transformation in the property management industry from various countries. The purpose of this SLR is to be able to see how the digital transformation trend and the application of its components are in the current property management industry.
Keywords: Property Management;Transformation Digital;Apartment;Systematic Literature Review
Review score: Moderate
Review comment: The material of the article has practical and methodological substantiations of the research in the form of pictures and tables.
The article is well structured, written in a clear and understandable language, the conclusions are logical and the literature corresponds to the stated topic.