Reviewerly/exHarmony huggingface dataset:
Brain Tumour Detection Using Machine Learning

Cerebrum growths are brought about by the strange improvement of cells. This is one of the main sources of grown-ups passing all over the plane. A large number of passes can forestall the early recognition of cerebrum cancers. The recognition of cerebrum growths using attractive reverberation imaging (MRI) can build the recurrence of the patient’s endurance rate. This work intends to recognize cancers at the beginning phase. Computerized discovery of growths utilizing attractive reverberation imaging (MRI) is vital as a need might have arisen for treatment arranging. The conventional method for recognizing deserts in attractive reverberation imaging of the cerebrum is to look at an individual. This strategy isn’t good for a lot of information. In this way, programmed growth identification strategies to acquire radiation experts are being created. The Discovery of cell growth utilizing MRI is worrisome because of the complexities and a variety of cancers. This article uses a formula to focus on equipment that can detect malignancies in the MRI cerebrum. The proposed activity is partitioned into three sections: Apply step changes to the MRI picture of the mind to extricate the surface capacity utilizing the Greeting Matching Matrix (GLCM) and characterized utilizing the AI calculation.
Organizational and Methodological Support of the Strategic Analysis of the Resource Potential of Smart University

Modern conditions of digitalization significantly affect the development of technologies, the transformation of educational organizations. This is facilitated by the spread of digital technologies, the emergence of innovative opportunities and the development of information and telecommunications links. Such conditions contribute to the emergence of a new digital generation of people focused more on smart education. The conditions of digitalization significantly affect the activities of smart universities, opening up additional opportunities and causing certain risks for the development of resource potential. Like any other organization, a smart university operates in a changing external environment. Such changes can both positively and negatively affect the achievement of its strategy and the use of resources. This calls for a systematic strategic analysis of the resource potential. The article reveals the concept of strategic analysis of the resource potential of a smart university. An organizational model for a step-by-step strategic analysis of the resource potential in a smart university in the context of digitalization is proposed. As a result of the study, a model of methodological support for the strategic analysis of the resource potential of a smart university was also developed. The results obtained were tested when conducting a strategic analysis of the resource potential in the smart division of the university on the example of the department.
Systematic Approach to Project Management at Smart University

In modern conditions, a smart university is a synthesis of scientific, educational, and innovative activities. Using advanced and latest technologies in their functioning and development, smart universities are centers for the emergence of innovations and promising projects. Project activity is the most important direction in the development of smart universities. To increase competitive advantages and achieve high performance, smart universities are implementing various projects. Thus, the growth of the interconnection between different areas of activity of smart universities, the emergence of new demands from the external environment and employers, and the intensification of internal and external relations have caused the need to apply a systematic approach to project management. Within the framework of this approach, a smart organization is considered as a set of various related activities and elements that are in contradictory unity and in relationship with the external environment. The article reveals the concept of the project and presents its main properties for a smart university. Considerable attention is paid to the classification of projects. The result of the study is the proposed model for applying a systematic approach to project management in a smart university. The results obtained were tested in project management in the university's smart division on the example of the department.
Some Modified Activation Functions of Hyperbolic Tangent (TanH) Activation Function for Artificial Neural Networks

There are a number of Activation Functions (AFs) present in the neural network. Among them, the hyperbolic tangent (TanH) and log sigmoid are commonly used AFs. The TanH AF is better when compared to logsigmoid. On all the numbers of hidden neurons or nodes, logsigmoid and TanH do not have shown better results or performance. For this purpose, we have presented six modified TanH with the help of a generalization of TanH AF. When logsigmoid and TanH do not show satisfactory results, then we may achieve better results with the help of the modified TanH proposed by us. In some situations, the modified TanH gives equal results as TanH, so we may also use the modified TanH for the verification of TanH results. Also, all these AFs are as powerful as logsigmoid and TanH. Like logsig and TanH, all of our modified TanH have four properties. First, these AFs are bounded range; second, all these are zero centered; according to the third and fourth properties, they are continuously differentiable and have a smooth S-shape. Due to all these properties, we can use all of the modified TanH for solving nonlinear problems. We have taken seven datasets for checking these AFs. First of all, we check the performance of the iris dataset (on 150 samples) using SCG, LM, and BR training algorithms. After that, we tested this on cancer (699 samples), glass (214 samples), body fat (252 samples), chemical (498 samples), wine (178 samples), and ovarian (216 samples) using SCG training algorithm for more satisfaction of the results.
Algorithm for Strategic Management of Project Activities in Smart University

At present, the sustainable development of a smart university is determined by the right choice of strategic guidelines that allow efficient use of available resources and opportunities. The strategy acts as a fundamental basis in managing in a market environment, ensuring the economic growth of a smart organization, increasing its competitiveness. In modern conditions, a smart university is expanding its capabilities and activities. At the same time, the implementation of project activities becomes an integral part of it. Project activities can be implemented as part of the educational process. At the same time, students act as the main innovators and generators of projects. Also, in a smart university, project activities can be implemented by the teaching staff as part of research activities. One way or another, a modern smart university is a kind of center for the emergence of innovative promising projects. Like any other activity, project activity needs competent strategic management. The article reveals the concepts of project strategy and strategic management of project activities of a smart university. The main tasks of strategic management of project activities in a smart organization are established. The result of the study is the proposed algorithm for the strategic management of project activities, taking into account educational and research activities. The results obtained were tested in the strategic management of project activities in the smart division of the university on the example of the department.
Blockchain IoT: Challenges and Solutions for Building Management System

Building Information Modelling (BIM) is a creative invention in the area of Architecture, Engineering, and Construction (AEC) and it can better increase collaboration among partners via the use of information and correspondence. 3D models are created as part of the BIM interface, and these models are used to manage actual resources as they are delivered via Building Management Systems (BMS) to the Internet of Things (IoT) structures and administrations. This paper focuses on using new developments in the construction industry such as BIM using IoT and Blockchain (BC), as well as examining building interconnection and interoperability in a proposed framework design. In a building, where effective security, management, and monitoring are viewed as critical variables for the unhindered activity of the organization that has them (Internet of Things: State-of-the-Art, Challenges, Applications, and Open Issues, by H.F. Atlam, R.J. Walters, and G.B. Wills. Int. J. Intell. Comput. Res., vol. 9, no. 9, 2018, pp. 928–938, (2018).). This review study proposes a strategy and a framework that employs Blockchain (BC) innovation as a means of achieving and controlling a structure that incorporates coordinated IoT and BIM advancements. The proposed framework configuration used in smart Building may be used in a variety of structures (A. Reyna, C. Martn, J. Chen, E. Soler, M. Daz, A. Martn, On the subject of B.Chain and IoT connection. Opportunities and challenges Future Generation Computer Systems, 88, 173–190, (2018).).
The Students’ Use of Mobile Instant Messaging Applications: Deleuze and Guattari’s Nomadism Analysis

This chapter presents an analysis of how first-year studentsFirst-year students use mobile instant messaging applicationsMobile instant messaging applications during their transition into a South African university of technology. Drawing on Deleuze and Guattari’sDeleuze and Guattari concept of nomadism, the study unpacks how mobile instant messaging platforms supported students in new ways of living, thinking, and accessing spaces where they shared their experiences, and generated new knowledge and ways of learningLearning. The study used a qualitative research approach. Data was collected from a first-year WhatsApp chat group at the university of technology that was purposefully selected. The data was analyzed using content analysis. Research findings showed that first-year studentsFirst-year students used the mobile instant messaging platform in imaginative ways of interacting with their peers and lecturers to support their process of becomingBecoming in a new educational setting. The first-year students used the mobile instant messaging applicationMobile instant messaging applications to overcome learningLearning structural constraints, find new ways of learning, and raise concerns to management about issues that affected their well-being. The findings offer a better understanding of the way first-year students use mobile instant messaging applications in the context of higher educationHigher Education.
The Concept of New-Generation Lecturers for Smart Universities: Case Study and Trends

The issues of modern educational environment require revision of approaches and methods used by educational management for the concept of new-generation scholars and lecturers for universities. According to the authors vision, new-generation faculty members should be masters of both hard skills and soft skills including their mastery in science and creation of training courses for the latest e-learning platforms on the base of key components of smart pedagogy. The effective management for higher institutions is achieved through a reasonable combination of the scholars’ soft and hard skills and methods of systems approach. The practical significance includes the proposed concept based on the management apparatus, represented by the smart pedagogy procedural framework, education management simulation and SCORM standard 2004. The assessment and case study are considered in the patented system of distant education described in the study.
A Model of Quality Management System for Digital Economy

Nowadays, the issues quality management system simulation and development are considered to be relevant due to the strict competition and technological boom. The development of quality management system in the context of digitalization of the economy is connected with the rapid use of information, communication and digital technologies, providing effective activities between stakeholders as well as their participation in the business deals of the organization to create its value and image in the competitive market. Therefore, it is necessary to constantly focus on the changing approaches to quality management systems in the process of training in the university. In addition, the evaluation of the effectiveness of the quality management system should be carried out continuously.
Securing Medical Images Using Quantum Key Distribution Scheme BB84

Medical images are very sensitive data for maintaining the safety and confidentiality of a patient. In most cases, data can be hacked by an unauthorized third party when a medical image is transferred to another party over the public Internet. This unauthorized access should be strictly prohibited to keep those data secured. Various security measures for healthcare images have been proposed like watermarking, image stereography, and cryptography as well. One of the best ways to transfer medical images through the public internet is Quantum Cryptography. Cryptography, adopting the principle of quantum mechanics, has shown outstanding achievement in securing digital communication. The evolution of quantum cryptography replaces various classical quantum cryptography. Quantum Key Distribution (QKD) is a cryptography protocol based on quantum mechanics and is used to exchange secure keys between two parties. In this paper, we have simulated medical image encryption using QKD protocol BB84 without using the classical channel. This paper will help medical professionals and the healthcare industry to transfer patients’ data on the public Internet using high secure key distribution method BB84.
Student Support in an Online Environment: Doctoral Student Feedback

Bradley University (Peoria, IL, USA) offers an online Ed.D. in Educational Leadership, with a concentration in Higher Education Administration and Leadership (HEAL), with additional concentrations coming online in the near future. Online doctoral programs continue to emerge to meet the needs of working professionals seeking a terminal degree. Many factors weigh the online doctoral student experience and potential barriers to completion. This paper originates from doctoral student survey feedback from current students, as well as program alumni given in the fall of 2022. The survey was guided by the Community of Inquiry (CoI) framework and provides meaningful reflection from adult learners engaged in rigorous online terminal degree coursework, in conjunction with their professional and personal responsibilities. This paper will discuss the virtual adult learner feedback as it applies to the use and comfort of technology, potential barriers in the virtual space, and the potential value added in virtual relationships.
Quasi-Fractal Logic Usage in Risk Management Models of Smart Systems

These days, algebra and logic are the key points in main areas of digital transformation research. These areas can be considered as the most important mechanisms in enabling strategic, fundamental advances in digital transformations of almost all spheres, which are provided and connected the social society functioning. One of the most difficult and interesting issues in the field of digital transformation is the study of the emergence of a system from a chaotic state. The paper introduces the concept of a presystem. It presents the following obtained results: (1) description of a metric error on a chaotic presystem, (2) the existence an element in a chaotic closed associative presystem at which any connections are impossible to set, (3) the existence a level in a chaotic closed associative quasi-fractal presystem at which connections are impossible to set, and (4) practical applications of the developed theory to (a) assess risks of smart systems and (b) explain possible causes of forecasting errors in smart systems, in smart university ranking systems, in financial-economic systems.
Rhizomatic Learning for Nomadic Learners: A Postdigital Education Blended Conceptual Metaphor Framework

This chapter delves into the paradigm shift that happened in today’s educational systemSystems due to the huge technological boom humanity got blessed with. It draws upon a blended conceptual metaphorMetaphor having as input spaces two philosophical concepts advanced by Deleuze and GuattariDeleuze and Guattari, namely, rhizomeRhizome and nomadology, and aims to suggest a frameworkFramework that depicts the twenty-first century postdigital learning. Departing from constructivist and connectionist theories, answers are proposed in this chapter for the following questions. What is meant by rhizomatic learningRhizomatic learning? What is meant by nomadicNomadic communitiesCommunities of learners? What type of language do these communities speak? What skills do they already have? What are they in need of acquiring? To what extent autonomy and collaboration are important for them? What results did some researchers reach with and about them? What are some of the recommendations for future research about them?
Automatic Question Generation

It is critical to evaluate an individual's capabilities in order to assess their capabilities. Exams have a vital part in the testing process and, as a result, the questions that must be tested. Framing questions may be a tiresome endeavor at times, necessitating the use of automated question generating. Natural language processing may be used to produce questions that are accurate, answered, and efficient (NLP). We can structure questions by accepting and processing information using NLP and different question creation methods. MCQs, fill in the blanks, Wh-questions, crosswords, and a quick synopsis of the supplied material are among the questions created. Before being sent to the AQG, the data is preprocessed. Depending on the supplied content, the questions are verified for contextual relevance and answerability. Automated question generation can be beneficial in self-analysis, self-guidance, and other areas.
QR Code-Based Digital Payment System Using Visual Cryptography

Quick response code (QR code) is employed due to its benefits, especially in the area of mobile payments. In the transaction process, however, there is an unavoidable risk. It is challenging to identify the attacker's tampering with the QR code carrying the recipient account for the merchant. As a result, verifying QR codes is critical. In this study, we propose a methodology to secure the payment method. This method encrypts the payment process using the visual cryptography scheme (VCS) and AES secret key techniques. The first step is to use the (2,2) VCS to divide the original QR code into two shares; secondly, we are applying the AES algorithm in one share and adding a secret key to this share. Then both shares are distributed. First one sent to the user using a cloud server and second one directly to the applicant desk. The two shares can then be properly stacked, and the same QR code is recreated using the specified VCS.
Smart Education: Students’ Perception of Hybrid Learning in Graduate Computing Curriculum

Advanced hybrid teaching and learning are aimed to take advantage of the strengths of both online and face-to-face learning environments to (a) create a dynamic, highly effective and engaging educational experience for students and (b) provide the highest quality of student learning outcomes, i.e., a portfolio of excellent analytical, technical, managerial, business communication and team working skills pertaining to a specific advanced course and/or topic. The described ongoing research, design and development project at the Department of Computer Science and Information Systems and The InterLabs Research Institute at Bradley University (IL, USA) is aimed to use a systematic approach and identify, analyze, design, develop, implement, teach, test, analyze and recommend various components of an optimal hybrid course and courseware in graduate computing curriculum. Based on obtained feedback from 91 graduate students in computer science graduate courses, (a) a total of 87.5% of graduate students “Agreed” or “Strongly agreed” to take other hybrid graduate courses in the future even if face-to-face or online versions of those courses are offered at the same time, and (b) a total of 74.9% of graduate students “Agreed” or “Strongly agreed” to recommend taking computer science graduate courses in hybrid mode to classmates, teammates, friends and/or co-workers.
Application of Ensemble Methods in Medical Diagnosis

Medical diagnoses with machine learning faces challenges of a high false negative rate, which can pose a threat to patients’ lives. Moreover, ML solutions tend to be less robust to minor changes in input data. Thus, the need for an efficient machine learning framework is to be given top priority to ensure the safety of patients and prevent any false negatives during the detection of a disease. One model alone cannot be relied upon for the predictions of diseases in healthcare. The solution to this issue is to consider the predictions of multiple models and then collectively take a decision. Hence, we explore ensemble learning methods using several models as a part of the ensemble to improve model robustness and reduce false detections, hence making ML models more stable and reliable in medical diagnosis. We also experiment with a dataset preprocessing technique called SMOTE (Synthetic Oversampling Technique) that deals with dataset imbalance.
Mining User Interest Using Bayesian-PMF and Markov Chain Monte Carlo for Personalised Recommendation Systems

It is easy and beneficial to use low-rank matrix approximation techniques in collaborative filtering systems. Model of this kind is often fit by obtaining MAP estimates of parameters, a technique that is efficient even for exceptionally large datasets. This method, however, is tedious, and prone to overfitting unless the regularisation parameters are properly adjusted, since it discovers a single estimation of the parameters. To manage model capacity automatically, this research work integrates all model hyperparameters, and parameters in the Bayesian approach of the probabilistic matrix factorization (PMF). The MovieLens-100K dataset, which contains over 100K movie ratings, shows that Bayesian-PMF can be effectively trained using MCMC (Markov chain Monte Carlo) technique. The proposed model achieves better efficacy as compared to PMF-MAP models.
Mathematical Simulation for Quality Management in State System of Higher Education

The aim of this paper is to consider management tools for sound planning, control and regulation of students’ competence level based on mathematical simulation methods. Innovative ideas include experimental planning methods applied for minimizing differences of the final results in educational systems in response to uncontrollable factors, while maximizing the possibility of obtaining a guaranteed and targeted result. The proposed model has been tested in the conditions of smart education in the process of learning on the basis of remote technology for distant education “Rosdistant”.
Research and Simulation of Cryptocurrency Market as an Innovative Use Case for Emerging Smart Education

The purpose of this work is to study the processes in the cryptocurrency market from the point of into account uncertainty, diversity, and ensuring interoperability. Research hypotheses: uncertainty, “white noise” in the cryptocurrency market is reduced by adaptive diversity regulation. Methods of system analysis and modeling, differential equations, random processes, etc., were used. The main result of the article is a study of mathematical models of cryptocurrency market diversity taking into account volatility and their purchasing power. Examples, conclusions, and approaches to model identification are given. In practice, you can use it, for example, to test payment systems.