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This study aims to compare the effectiveness of two feature extraction methods, namely Histogram of Oriented Gradients (HOG) and Local Binary Patterns (LBP), in classifying X-ray images using Support Vector Machine (SVM) as the classification algorithm. In this research, the X-ray images were first processed...

Against the backdrop of global carbon neutrality goals, evaluating corporate carbon emission disclosure (CCD) is crucial. This study constructs an innovative evaluation system by integrating an improved Driving-State-Response model with a Supply Chain dimension (DSR-C) and a Backpropagation Neural Network...

With the acceleration of global cultural integration, the development of traditional crafts has become increasingly difficult. Therefore, traditional craftsmanship needs more attention and recognition. As the most downloaded short video software in China, Tik Tok has a natural traffic advantage and a...

The Alums Tracer Study of the State University of Surabaya is a survey of alumni that is of strategic importance to the advancement of higher education. A tracer study is conducted to collect information from alumni from the time of graduation until alumni tracing is conducted. The objective of this...

Grade B difficult actions of Taijiquan Xuanfengjiao 360°+knee lifting alone-standing of five high-lever Wushu athletes in Hubei Provincial Wushu Team were analyzed through three-dimensional high-speed photography. Take-off moment, take-off foot-patting moment and landing knee lifting moment were comparatively...

This paper focuses on the teaching reform of the Linux system programming course. In the context of the booming development of HarmonyOS and AI, the traditional teaching of this course faces challenges such as obsolete content, insufficient practical engineering applications, and lack of ideological...

Cloud services are gaining popularity and the demand for cloud space is increasing Lot of research is happening in the field of cloud management and marketing. Effective handling of Cloud service is an important component of cloud architecture and can even be used to act as an intermediate layer between...

With the continuous development of the Internet, more and more people are spending money using credit cards online, therefore, retaining customers in order to maintain profit margin becomes very important for many banks. This paper aims to make predictions on credit card customer churn through machine...

This study investigates the effects of incorporating interrupted fins on annulus side of double-tube heat exchanger to evaluate heat transfer, Nusselt number, pressure drop and heat transfer coefficient when using Fe3O4/water nanofluid. Heat exchange occurs as cold fluid flows through the annulus side,...

A numerical code was developed to investigate the characteristics of drag and heat reduction by the lateral jet in supersonic flows, the Reynolds-average Navier-Stokes (RANS) equations was solved by using high resolution upwind scheme AUSMPW+, three order MUSCL reconstruction method and k- SST turbulence...

Nowadays, the network has become the basis of everything. Meanwhile, network security has become one of today's most urgent social problem. Intrusion detection systems are sold through real-time monitoring of network traffic, and take corresponding measures when the suspicious transfer of suspicious...

Random Forests is a statistical learning theory-based combinatorial classifier, an integrated learning algorithm based on decision trees, with high prediction accuracy, which combines bootstrap resampling method and decision tree algorithm, the essence of the algorithm is to construct a set of tree classifiers...

The primary focus of this research paper is addressing the difficulty of identifying handwritten mathematical symbols, which holds significant importance in diverse fields including education, scientific research, and data analysis. The recognition of these symbols is challenging due to their diverse...

This study presents an AI-driven approach for evaluating fruit freshness by utilizing the MobileNetV2 model. The method aims to replace conventional manual inspections with an automated system for distinguishing between fresh and spoiled fruits. Through transfer learning techniques, the model was trained...

Environmental, social, and governance (ESG) performance is crucial for business transformation in sustainable development, which is consistent with management science’s emphasis on strategic decision-making. We examine the impact of short selling on ESG efficiency using data from Chinese heavy-pollution...

Learning Research conducted at SMK Negeri 1 Cilacap focused on the importance of mastering various aspects of learning Japanese, with special emphasis on speaking skills. This research, based on observations and interviews with Japanese teachers and students, identifies the need for innovative and interactive...

Clustering-based segmentation algorithm is one of the common methods in image segmentation. However, how to avoid the influence of the initialization and the singular value is a problem we have to face. For overcoming this problem, we proposed a new image segmentation technology which is based on the...

To conduct a visual analysis of the literature related to visual metaphor research and to analyze the research status and development changes of visual metaphor research in China in the past 23 years. Using bibliometric methods and CiteSpace software to map the knowledge of 408 pieces of visual metaphor-related...

An effective nutrition education model potentially improves women’s dietary habits during pregnancy, leading to positive health outcomes for both mothers and their offspring. This review aimed to explore existing nutrition education models delivered to pregnant women in Indonesia and improvements needed...

The recent significant increase in US tariffs has notably influenced India’s trade and export sectors. The tariff measures and associated trade policies introduced by Trump have had a considerable effect on certain Indian sectoral indices, particularly in the energy, IT, pharmaceutical, and traditional...

Technical and technological development of logistics systems leads to the necessity for revision of staff’s functions. Some functions could be given to the machines. That’s why the staff can do many different functions. We can determine the problem of rational allocation of functions and zones of control...

The study explores the integration model of the Long Short-Term Memory Network (LSTM) and clustering SVM to improve the prediction accuracy of stock prices. This article utilizes the NVIDIA historical dataset from Kaggle and uses Close, High, Low, Open, and Volume as features to predict future changes...

In recent years, number of web-based distance learning system has rapidly increased as a result of improvements in the internet. According to the data of different characteristics of the data query optimization will be divided into different categories of data. Through the traditional and optimize two...

A learning process which rigid and monotonous can reduce students' interest and motivation. If it is done continuously, students become less motivated in learning. It will also affect their learning achievement. [1]. This situation also occurred in class V of Punggul 1 Elementary school, especially in...

In order to analysis the vulnerability of underground deep foundation pit construction system and improve the safety level of underground deep foundation pit construction. Firstly, based on the vulnerability theory, the concept of vulnerability of underground deep foundation pit construction safety system...

Traditionally, portfolio management focused on using historical averages and qualitative assessments of market trends. However, with more data available and improvements in computational power, more complex methods have been developed. This study aims to analyze the stock prices of 15 technology companies...

This paper uses data on Chinese A-share listed firms from 2012 to 2023 to investigate the impact of FinTech on corporate economic value added EVA. The results show that FinTech significantly and positively promotes corporate EVA, and this conclusion remains valid after robustness tests. Mechanism analysis...

This visual sociology article explains a photography exhibition entitled “Through The Lens of Our Migrant Workers” at Bayfront MRT Singapore Station as an effort by the Singapore government to represent migrant workers as part of the color of the population. In collaboration with Holdinghands Studio,...

The object of the research is the relations arising from the implementation of the National Program “Data Economy Russia 2024” in the aspect of ensuring information security in the financial sector of Russia. The role of the state financial regulator in the implementation of this program is determined,...

The article presents an analysis of the concept and essence of professional thinking at the present stage of digital society’s development. The urgency of the problem is justified in the context of a new approach to understanding professional thinking in the framework of the social development’s law...

One of the possibilities for developing computerized diagnostic tools for Parkinson’s disease (PD) is to utilize the voice change known as Parkinsonian dysarthria. Voice features extracted from sustained phonemes have been statistically investigated as parameters for this purpose. However, the commonly...

Tricycles (“aboboyaa”) are vital and common for transport in Ghana’s rural and peri-urban areas but their internal combustion engines emit greenhouse gases, cause noise pollution, and incur high maintenance costs. This study examines the technical and economic feasibility of retrofitting such tricycles...

The influence of spray casting technique on martensitic transformation temperature, magnetic properties and compressive properties of Ni50Mn25+xGa25–x (x = 0, 1.25, 2.5, 3.75 and 5) alloys was investigated. With the increase in Mn content, martensitic transformation temperature of the spray casting samples...

Recognizing handwritten mathematical symbols presents a significant obstacle due to the inherent variability in individuals’ writing styles. In order to enhance the accuracy of symbol recognition, this scholarly article introduces a pioneering methodology that synergistically merges the capabilities...

In this paper, The DC-DC Converter (DCC) has gained popularity with an increase of utilization of renewable energy sources over conventional energy sources. It is easy to operate Hard Switching DC–DC Converter (HSDCC) with rising power losses and deteriorating efficiency than with Soft Switching DC-to-DC...

A machine learning-based predictive model was developed to deliver personalized career recommendations based on student data, including academic performance and personal attributes. The dataset includes information such as gender, absenteeism, extracurricular activities, part-time work status, study...

With the rapid development of network technology, blended-learning & teaching are new ways to study and teach in new era. This method integrates various resources both online and offline, extending the teaching and learning time and achieving different ways for learners of different learning levels....

objective: to analyze the police sports affect police academy student health fitness. Methods: a retrospective analysis of the way to a police academy class of 2013, 100 students (male 67, female 33) of height, weight, chest circumference, hip circumference, waist circumference, waist-hip ratio, lung...

A novel quad band planar inverted F-antenna along with an added resonating copper arm working in GPS L1/Bluetooth/LTE2500/WiMAX/HIPERLAN1 is presented. The proposed antenna occupies a volume of 25 x 10 x 5.8 mm3 over the mobile circuit board. Parametric investigations of some important parameters are...

As the underlying foundation of the new technological revolution, computer technology has become a core driver of urban green high-quality development integrated with artificial intelligence applications. Based on panel data of 282 Chinese prefecture-level cities from 2007 to 2023, this paper regards...

Speech-emotion recognition,(SER) is an important category in human-computer interaction as it makes it possible for a machine to comprehend and interpret human emotions. It seeks to determine the categories of emotions elicited through speech signals during social communication. This study focuses on...

This study is aimed at the binary classification task of heart diseases, using 918 subjects and 11 clinical and diagnostic features from public datasets. Before training, the data underwent missing and anomaly checks, numerical features were standardized, category-specific features were encoded, and...

In many decision making problems evaluations with respect to several points of view (criteria) are ex-pressed by means of h interval (or fuzzy numbers). For example a pessimistic and an optimistic eval-uation generate an interval containing the exact evaluation. These situations reflect lack of infor-mation...

For those who are always unsure whether the clothes will truly fit them when shopping online, Clothify provides a very specific and intuitive virtual fitting room service to help them ensure they will buy the correct cloth before completing the online payment. Clothify is an extension of an online shopping...

Brazilian spinach (Alternanthera sissoo) is an extremely nutrient-rich leafy vegetable plant species native to Brazil and South America. It packs high amounts of carotenoids, vitamin C, vitamin K, folic acid, iron, and calcium. Brazilian spinach leafy vegetable is a low-growing perennial that forms a...

The article presents the results of a sociological study of ethno-confessional processes in East Kazakhstan. The study was conducted jointly by the researchers at Altai State University (Russia) and the East Kazakhstan State University (Kazakhstan). As a result of sociological studies, the confessional...

An increasingly multidisciplinary research on parental involvement in education has been captured quite well in the body of literature discussing factors affecting students' learning outcomes. Parental involvement in education is believed to benefit both students' academic and non-academic learning outcomes....

In order to promote the healthy development of students, reduce academic pressure, and improve the quality of education, the Chinese education authorities have introduced the Double Reduction Policy. Based on the requirements of the policy and the actual needs of parents, primary and secondary schools,...

In the context of the “Belt and Road Initiative” (BRI), enhancing the international competitiveness of China’s financial services trade has become a critical issue for promoting regional economic integration and global financial governance. This paper aims to identify and analyze the key factors influencing...

Ransomware performs file encryption to make systems unable to use their contents as well as bypass traditional antivirus programs. Most present detection systems track system calls along with processes and file activities on compromised systems before conducting data analysis. The monitoring of multiple...