bluuebunny/crossref_metadata_2025_split huggingface dataset:
FTDA: Performance Enhancement of WSN using Fuzzy based Traffic Data Analysis
Authors: Anuradha P. Gharge Et al. 
Published: December 2023

In the present time in Wireless Sensor Network plays an essential role in the monitoring of different physical phenomena. Monitoring of city traffic data analysis is very important in different metro cities due to rapid increase in population. This research work proposes a model for traffic data analysis using wireless sensor network incorporated with fuzzy technique. The proposed model is tested for performance parameters such as node dead rate , data packed received. The proposed model improved the efficiency compared to existing techniques of the WSN network for traffic data collection and analysis.
A Review on Cross Weather Traffic Scene Understanding Using Transfer Learning for Intelligent Transport System
Authors: Deepa Mane Et al. 
Published: December 2023

Intelligent transport systems (ITS) have revolutionized the transportation industry by integrating cutting-edge technologies to enhance road safety, reduce traffic congestion and optimize the transportation network. Scene understanding is a critical component of ITS that enables real-time decision-making by interpreting the environment's contextual information. However, achieving accurate scene understanding requires vast amounts of labeled data, which can be costly and time-consuming. It is quite challenging to Understand traffic scene captured from vehicle mounted cameras. In recent times, the combination of road scene-graph representations and graph learning techniques has demonstrated superior performance compared to cutting-edge deep learning methods across various tasks such as action classification, risk assessment, and collision prediction. It's a grueling problem due to large variations under different illumination conditions. Transfer learning is a promising approach to address this challenge. Transfer learning involves leveraging pre-trained deep learning models on large-scale datasets to develop efficient models for new tasks with limited data. In the context of ITS, transfer learning can enable accurate scene understanding with less data by reusing learned features from other domains.
This paper presents a comprehensive overview of the application of transfer learning for scene understanding in cross domain. It highlights the benefits of transfer learning for ITS and presents various transfer learning techniques used for scene understanding. This survey paper provides systematic review on cross domain outdoor scene understanding and transfer learning approaches from different perspective, presents information on current state of art and significant methods in choosing the right transfer learning model for specific scene understanding applications.
PMP-SVM: A Hybrid Approach for effective Cancer Diagnosis using Feature Selection and Optimization
Authors: Pinakshi Panda Et al. 
Published: December 2023

Cancer disease is becoming a prominent factor in increasing the death ration over the world due to the late diagnosis. Machine Learning (ML) is playing a vital role in providing computer aided diagnosis models for early diagnosis of cancer. For the diagnosis process the microarray data has its own place. Microarray data contain the genetic information of a patient with a large number of dimensions such as genes with a small sample such as patient details. If the microarray is directly taken without reducing the dimension as the input to any ML model for classification, then Small Sample Size is the resulting issue. So, size of the microarray data needs to be reduces by using either of dimensionality reduction technique or the feature selection technique to increase the model’s performance. In this work, proposed a hybrid model using Principal Component Analysis (PCA), Maximum Relevance Minimum Redundancy (MRMR), Particle Swarm Optimization (PSO) and Support Vector Machine (SVM) for cancer diagnosis. PCA and MRMR is used for feature selection and PSO is applied to get the optimized feature set. Finally, SVM is applied as the classification model. The proposed model is evaluated against multiple cancer microarray datasets to measure the performance in terms of accuracy, precision, recall, and F1 score. Result shows that proposed model performs better than existing state of art model.
A Lightweight Security Model using Delta Probabilistic Hashing Technique for Secured Data Transmission in IoT Systems
Authors: Prasanna Kumar M Et al. 
Published: December 2023

Secure data transmission is one of the most pressing concerns for resource constrained IoT devices. There is a need for an efficient and lightweight solution for data security in IoT applications. The proposed study is primarily concerned with the creation of a lightweight data security model for an IoT data transmission-based application for data transmission and storage in smart cities. The fundamental contribution of the proposed security model is the creation of a distinct hashing algorithm based on the specific pattern of the previous sequential change in value. The Delta Probabilistic Hashing (DPH) based architecture of key extraction technique for data security will perform this. Based on the hash key signature approach, this kind of safe data handling procedure provides a random key for data encryption, which will simplify the model and speed up the algorithm's operation. Our approach's main features are enhanced efficiency and throughput, lightweight data security, and adaptive key generation.
Distribution of Heterogeneous Traffic Resources for 5G Cognitive Radio Networks based on Cooperative Learning and QOE
Authors: Pravin M Et al. 
Published: December 2023

In addition to offering faster speeds and lower latency, 5G networks provide enhanced availability, significantly higher capacity, improved stability, and superior connectivity. The Mean Opinion Score (MOS), which quantifies the subjective quality of the user experience, has emerged as a widely accepted metric for assessing the quality of various types of network traffic. As we move towards the 5G era, measuring end-user quality has become increasingly important in the evolution of wireless communications. This paper presents a resource allocation approach for 5G cognitive radio networks that leverages cooperative learning and prioritizes Quality of Experience (QoE) for integrated heterogeneous traffic. The solution is based on a distributed underlay Dynamic Spectrum Access (DSA) system that utilizes MOS as a foundational metric for managing resource allocation across real-time video and data traffic, each with distinct characteristics. The proposed technique is designed to meet strict interference limitations for primary users while simultaneously maximizing the overall MOS. This is accomplished by employing reinforcement learning in a system where primary users and secondary users share the same frequency band of interest, ensuring efficient coexistence. Importantly, MOS serves as a standardized measure that allows for training across nodes carrying various types of traffic without compromising performance.
CAD-CDN: Coronary Artery Disease Prediction Using Convolutional Neural Network with Modified Densenet
Authors: Ramasamy MaheshKumar Et al. 
Published: December 2023

Atherosclerosis is a synonym for coronary artery disease (CAD), a non-communicable cardiovascular disease. Coronary artery disease, cancer, and tumour illness pose significant human risks. Predicting coronary artery disease (CAD) is a difficult and time-consuming task in the medical field. Early prediction is a virtuoso skill in the medical area, particularly in the cardiovascular sector. Prior research on developing early prediction models provided a grasp of modern strategies for detecting variance in medical imaging. Cardiovascular disease prevention may be accomplished with a diet plan established by the concerned physician after early diagnosis. We proposed a CAD-CDN framework for coronary artery disease prediction using a Convolutional neural network (CNN) with modified densenet. The datasets are collected from the Kaggle repository, and the data normalization has been done with Affinity propagation with an adaptive damping factor (APADF). The best features are selected using ACO with SA as the Hybrid method. Finally, the classification was done with CNN with modified Densenet. The experimental result has been done with various existing algorithms and proposed one. And the results have shown performance indicators including accuracy, precision, sensitivity, specificity, and measure value.
Brain Tumor Classification, Segmentation, and Detection using Deep Learning - A Review
Authors: Mrs. Deepali K. Jadhav Et al. 
Published: December 2023

V.Vapnik in 1965 proposed Vector methods. Kimeldorf presented a technique for creating kernel space based on support vectors in 1971. Support Vector Machine (SVM) techniques were initially presented in the 1990s by V. Vapnik in the field of statistical learning. Since then, pattern recognition, natural language processing, image processing and other areas have seen extensive use of SVM. By converting non-linear sample space into linear space via a kernel approach, the algorithm's complexity is reduced. Image classification is a well-known issue in image processing. Predicting the input image categories using the features is the main objective of image classification. There are several different classifiers, including Artificial Neural Networks, Support Vector Machines, and Random Forests, Decision Forests, k-NNs (k Nearest Neighbors), and Adaptive Boost. SVM is one of the best techniques for categorizing any image or pattern. A common non-invasive technique used in the medical sector for the analysis, diagnosis, treatment of brain tissues is magnetic resonance imaging. When a brain tumor is discovered early, the patient's life can be saved by receiving the appropriate care. It becomes difficult to accurately identify tumors in the MRI slices, which requires fussy work..
Technological support for the process of mastering the multicultural content of teacher education by students
Authors: Гукаленко О.В. , Борисенков В.П. , Ткач Л.Т. 
Published: December 2023

Обосновывается необходимость внедрения технологий практико-ориентированного освоения поликультурного содержания образования студентов, осваивающих педагогическую профессию. Их применение позволяет активизировать познавательную деятельность обучающихся, основанную на исследовательском поиске, мотивирует их к овладению трудовыми умениями, требуемыми профессиональным стандартом, и упражнению в их практическом применении, развивает способности к самообразованию. Методологической основой представленного подхода выступают концептуальные идеи культурологического личностно-ориентированного образования поликультурного типа.
The necessity of introducing technologies of practice-oriented development of the multicultural content of education of students mastering the teaching profession is substantiated. Their use makes it possible to activate the cognitive activity of students based on research search, motivates them to master the labor skills required by the professional standard and exercise in their practical application, develops the ability to self-educate. The methodological basis of the presented approach is the conceptual ideas of cultural.
Phrase readiness formation methodology in hybrid academic teaching and foreign language teaching
Authors: Крылова О.В. 
Published: December 2023

Автор описывает систему языковой подготовки будущих инженеров космической отрасли в условиях гибридного академического обучения. Рассмотрена типология упражнений, направленных на формирование фразовой готовности курсантов как ступени к личностно значимому и профессионально востребованному общению, приведены образцы заданий. Отмечается, что наибольшего внимания требуют слова в изолированных связных сочетаниях; лучшим способом их предъявления признан контекстный визуально-аудиторный перевод в аудитории и в мобильном приложении; коллокации предлагается осваивать через все виды когнитивно-речевой деятельности в рамках отдельного модуля; причиной большинства ошибок признана интерференция; обязательными элементами систематического освоения материала курса иностранного языка являются редактирование работ преподавателем языка и самокоррекция курсантов; крайне желательна выдача сертификатов и поощрений. На электронные страницы участников образовательного процесса рекомендуется установить приложение «умный помощник» (искусственный интеллект) с функцией осознанного, грамотного и точного воспроизведения метакогнитивной речи на нескольких языках в устном и письменном форматах.
The author describes the language training system for future engineers in the space industry in a hybrid academic environment. The typology of exercises aimed at forming the phrasal readiness of cadets as a step towards personally signifi cant and professionally demanded communication is considered, sample tasks are given. It is noted that words in isolated coherent combinations require the most attention; contextual visual-audience translation in the audience and in the mobile application is recognized as the best way to present them; collocation is proposed to be mastered through all types of cognitive speech activity within a separate module; interference is recognized as the cause of most errors; obligatory elements of the systematic mastering of the material of a foreign language course are editing of works by a language teacher and self-correction of cadets; highly desirable issuance of certifi cates and incentives. It is recommended to install the “smart assistant” (artifi cial intelligence) application on the electronic pages of participants in the educational process with the function of conscious, competent and accurate reproduction of metacognitive speech in several languages in oral and written formats.
The study of learning motivation in Vietnamese students of Russian universities
Authors: Нгуен Т.З. , Караванова Л.Ж. 
Published: December 2023

Уточнены основные понятия темы. Рассмотрена роль мотивации в обучении. На основе методики «Мотивация обучения студентов» выявлены виды мотивации, преобладающие у вьетнамских студентов, обучающихся в России. Осуществлен сравнительный анализ мотивов обучающихся с первого по четвертый курс. Сделан вывод о преобладании мотивов, связанных с приобретением знаний и получением диплома, о месте мотива «Овладение профессий».
The main concepts of the topic are clarifi ed. The role of motivation in learning is considered. On the basis of the methodology “Motivation for student learning”, the types of motivation that prevail among Vietnamese students studying in Russia have been identified. A comparative analysis of the motives of students from the first to the fourth year has been carried out. The conclusion is made about the predominance of motives associated with the acquisition of knowledge and obtaining a diploma, about the place of the motive “Mastering professions”.
Included cognition in the conditions of digitalization of society
Authors: Ли С. 
Published: December 2023

Поднимается проблема изменения способов взаимодействия человека с окружающим миром в условиях повсеместного и глубокого проникновения цифровых технологий в жизнь, требующего высокого уровня адаптации к изменениям. С учетом роли института образования в адаптационных процессах рассматривается концепция включенного познания и его взаимосвязь с окружающей средой при использовании современных образовательных технологий. Приводятся различные подходы к определению познания и познавательной деятельности, выделены истоки понятия «включенное познание», освещено понятие «мотивированное включенное познание студента». Проанализированы некоторые результаты зарубежных эмпирических исследований: об интеграции современных цифровых устройств в представления о собственном теле и связанным с этим проприоцептивным смещением, о влиянии смартфонов на запоминание информации. Выдвинуто предположение о том, что дальнейшие исследования включенного познания актуальны и необходимы для лучшего понимания процессов и методов усвоения информации, они позволят разработать рекомендации по повышению эффективности усвоения информации.
The problem of changing the ways of human interaction with the outside world is raised in the context of the widespread and deep penetration of digital technologies into life, which requires a high level of adaptation to changes. Taking into account the role of the institution of education in adaptation processes, the concept of included cognition and its relationship with the environment when using modern educational technologies is considered. Various approaches to the definition of cognition and cognitive activity are given, the origins of the concept of “included cognition” are highlighted, the concept of “motivated included cognition of a student” is highlighted. Some results of foreign empirical studies are analyzed: on the integration of modern digital devices into ideas about one’s own body and the associated proprioceptive shift, on the impact of smartphones on information memorization. It has been suggested that further studies of included cognition are relevant and necessary for a better understanding of the processes and methods of assimilation of information, they will allow developing recommendations for improving the efficiency of information assimilation.
Personal determinants of the formation of social stereotypes
Authors: Сыманюк В.В. 
Published: December 2023

Рассматривается влияние личностных детерминант на формирование социальных стереотипов. Выделяются и описываются личностные детерминанты стереотипизации, к которым отнесены возраст, склонность к риску, низкий уровень креативности и консерватизм, быстрое мышление и неуверенность в себе. Подчеркивается важность междисциплинарного подхода для понимания происхождения социальной стереотипии. Сделан вывод о том, что личностные факторы играют существенную роль в процессе становления социальных стереотипов.
The influence of personal determinants on the formation of social stereotypes is considered. The personal determinants of stereotyping are identified and described, which include age, risk-taking, low level of creativity and conservatism, quick thinking and selfdoubt. The importance of an interdisciplinary approach for understanding the origin of social stereotypy is emphasized. It is concluded that personal factors play an essential role in the process of formation of social stereotypes.
Comparative analysis of Russian verbs of motion without prefixes плыть - плавать and their Chinese equivalents
Authors: Чжан С. 
Published: December 2023

Статья посвящена сопоставительному анализу русских бесприставочных глаголов движения плыть и плавать в прямых и переносных значениях и соотносительных глаголов китайского языка, передающих идею перемещения в воде. В статье показано, что паре русских глаголов соответствует пять глаголов в китайском языке. Произведен анализ сочетаемости русских и китайских глаголов, передающих идею перемещения в воде; на конкретных примерах показано, что глаголы плыть и плавать сочетаются с субъектным компонентом различной семантики, в то время как в китайском языке выбор глагола обусловлен характером субъекта. Описываются некоторые типичные ошибки китайских учащихся, связанные с употреблением глаголов плыть и плавать в речи.
The article is devoted to a comparative analysis of Russian non-prefi xed verbs of motion плыть and плавать in direct and figurative meanings and correlative verbs of the Chinese language, conveying the idea of moving in water. The article shows that a pair of Russian verbs corresponds to five verbs in Chinese. An analysis of the combinability of Russian and Chinese verbs that convey the idea of moving in water is performed; specific examples show that the verbs плыть and плавать are combined with the subject component of different semantics, while in Chinese the choice of the verb is determined by the nature of the subject. Some typical mistakes of Chinese students associated with the use of the verbs плыть and плавать in speech are described.
The need for standardized dietary guidelines for cancer patients - with review of literature from governing bodies
Authors: Kulkarni Sushma P 
Published: December 2023

Dietary advices in the form of dietary guidelines help immensely in the management of health and disease, more so in the management of cancer patient. The objective of this study is to emphasize the need for standardized dietary guidelines which will guide the cancer patients and the medical fraternity involved in the management of cancer patient. Thorough search was done from recognized authorities for the available dietary guidelines for cancer patients. We also performed literature search with the use of PubMed, and Google Scholar as our database articles citing the benefits of dietary intervention in cancer management. Only the guidelines and dietary advices in the management of cancer patients which were given by the authorized bodies were considered. The dietary guidelines for cancer patients that we found after thorough search are very few. These guidelines have remained the same for decades now and need revival. There is a strong need for standardized dietary advices given by the concerned authorities to guide the medical fraternity to help to support the cancer patients in a better and confident way. More and more studies are required to standardize the dietary requirements during cancer management. The process, though herculean, can begin with simple and short guidelines for the dietary management of common health concerns during cancer treatment. With the help of outcomes of larger studies in this domain, more appropriate guidelines can be formulated.
Determinant of Internet Financial Reporting Disclosure
Authors: Narulitasari Devi , Zafira Rosalina 
Published: December 2023

So far, internet financial reporting is still a voluntary disclosure. This study aims to determine the effect of local government age, local government size, and audit opinion on internet financial reporting in Java.The population of this study is the Regency or City Government on the island of Java, Indonesia, which consists of 85 regencies and 34 cities. After using purposive sampling, a sample of 136 data was obtained, consisting of 52 regencies and 16 cities during the reporting period from 2018 to 2019. This type of research is quantitative research. The analytical tool used is by using logistic regression. The theory used in this research is Legitimacy theory and agency theory.The results of this study indicate that the disclosure of Inernet Financial Reporting to local governments on the island of Java is 43,38%. The local government age variabel has a significant positive effect on internet financial reporting, while the size of the local government has no significant effect on internet financial reporting, as well as audit opinion has no significant effect on internet financial reporting. It is hoped that local governments can improve internet financial reporting to provide sufficient and adequate financial information to the public. In addition, as a form of transparency and accountability for financial management and local government performance. Keywords: Internet Financial Reporting, Regional Financial Reports, Age of Local Government, Size of Local Government, Audit Opinion.