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The spread of the COVID-19 pandemic has affected education at all levels. Higher education institutions and educators must change their educational activities in response to COVID-19. Consequently, teaching delivery models have had to shift from a traditional classroom to an entirely virtual one. During...

The application of media in learning can facilitate the transfer of information. The purpose of this study was to analyze the application of video media to learning Mathematics. Described in depth the research results of the application of video media to mathematics learning, the positive impact of applying...

The purpose of this research is to research the consequences of job insecurity, job stress, and conflict between work and family on PT XYZ employee burnout. The sample is chosen through the non-probability sampling method, with forty-eight employees because the sample, and Google Form is employed as...

Calendar service protocol stack consists of four protocols: WebDAV, CalDAV, iCalendar and jCal. The basic functions of calendar service include personal planning, schedule sharing, events reminder, invitation and data synchronization among platforms or devices. Calendar service has a lot of commercial...

The increased volume of online messages has made it difficult for users to efficiently process and extract relevant information. This paper presents a flask-based message summary system, allowing users to obtain accurate summary of news articles and simultaneously receive core meaning and context. The...

Smile recognition has recently attracted significant attention due to the increasing accessibility in some digital products. Traditionally, the mouth feature has been extracted for smile recognition. However, it only extracts the features in the mouth region, ignoring the fact that face feature contribute...

Germany’s economic success was established in the Euro zone in Europe around 2000 and around 2010, it entered a new stage with a new circulation of production and with the influence of the European crisis, Germany’s economic performance was relatively stable. Considering the relatively stable performance...

Meta-analysis is a statistical method of quantitative review and a statistical method of data. It synthesizes the existing findings, counts the data results of the research, selects certain criteria for comparison, and finally analyzes the trends to draw universal conclusions suitable for most groups....

Cardiovascular disease continues to be a primary cause of death globally, highlighting the need for the creation of precise and effective prediction models for early detection. This research assesses the efficacy of multiple machine learning algorithms, including Decision Tree (DT), Support Vector Machine...

In order to effectively find the welds in the heating panel welding, we need to detect the weld region accurately. This paper puts forward a method based on HOG features and SVM to establish the regional model of weld image. Firstly, the images generated by the laser irradiation heating panel weld can...

Software failure prediction is currently a hot subject of research all over the world. The support vector regressions (SVRs) are very efficiency for solving regression problems. The parameters just as C performs very important roles in the generalization of SVR, and it’s hard for beginner to choose them....

The recognition of handwritten Bangla digits are important for automating Bengali language documents in applications like postal automation, banks cheques processing and so on. Due to the morphological variation between Bangla digits and Latin digits, the automatic recognition of Bangla digit system...

This study aims to examine the influence of social media influencers, risk perception, and return expectations on investment decisions in the capital market, with trust as a moderating variable. This study uses a quantitative approach with primary data obtained through purposive sampling technique, involving...

This paper proposes a remote sensing image classification method based on multi-feature combination of the support vector machine (SVM) according to the classification problems of the high resolution remote sensing image. ALOS image is operated at two stages by this method. The first stage is to coarsely...

Sexual minorities are vulnerable groups. No matter in school or in society, some experiences will have a great impact on their physical and mental health. This paper made a connection between the mental health of sexual minorities and sexual minorities students in schools. Sexual minority students’ mental...

The purpose of this article is to identify and analyze several references on the keyword’s leadership and ethical leadership. Through Harzing’s Publish or Perish, a systematic review of the literature was undertaken for this study utilizing the Scopus database. Using the SPAR-4-SLR Protocol, the data...

The increasing demand for personality identification based on handwriting processing in fields like resource management, criminal investigations, and mental health diagnostics has led to a flurry of research and experimentation in this area these days. Implicit information includes characteristics including...

We put forward a new SVM-GMM mixture model to improve recognition rate of the speaker verification system in the paper. Support vector machines (SVM) and Gaussian mixture model (GMM) are widely applied to the speaker verification, but both have some disadvantages. We present a new approach for speaker...

Spam, under a variety of shapes and forms, continues to inflict increased damage. Varying machine learning techniques have played an important role in spam filtering field in condition that ample training data is available to build a robust classifier. These methods include Decision Tree, Support Vector...

The classification and prediction of stock price fluctuation pattern is a very important issue in stock market research in recent years. The rise and fall of stock price directly reflects the change of investors’ assets, and if the rise of stock price can be predicted more accurately, it can provide...

Discrimination against the elderly is a widespread social phenomenon, which contains misunderstanding and misjudgment of the elderly group. Compared with racial discrimination, gender discrimination and other discrimination issues, discrimination against the elderly has its own characteristics, such...

Now, with the development of economy, people’s living standards and yearning for a better life to promote the development of various emerging cultures, these developments with the current trend of vigorous development as a hotbed of rapid development. Among them, trend culture is one of the most worshipped...

Teenagers’ physical and mental health has been influenced in varied degrees with diverse orientations as a result of the advertising industry’s tendency and development in recent decades to move its aim to adolescents. The psychological and physical impacts of advertising on teenagers are the subject...

Bullying cases in Indonesia are being discussed in the media. The impact of bullying is extremely high, both for the perpetrators and victims of bullying. The principal’s leadership is required to creating an anti-bullying school climate. The research was conducted to investigate the school principal’s...

This paper addresses processing of spectrophotometric array signals based on genetic algorithms (GA) least square support vector machines (LS-SVM) regression to provide a powerful model for machine learning and data mining. The key to complete LS-SVM regression is to choose its optimal parameters. Due...

The cryptocurrency market is known for its inherent volatility, making accurate predictions a challenging endeavor. In this research study, investigate the efficacy of logistic regression, support vector machines (SVM), decision trees and random forests for the task of Bitcoin price prediction. To address...

This paper presents a fall detection system for elder people using wearable single inertial sensor. In contrast with multiple wearable sensors, we deploy only one 3-axis accelerator on human body for continuously monitoring fall incident. Support Vector Machine is exploited to be the classifier for predicting...

The COVID-19 pandemic risks causing a decrease in individual physical activity. The research objective was to determine the patterns of physical activity of students while at home during the COVID-19 pandemic. The research method used is a quantitative method with a descriptive approach and uses a Likert...

The research presents a Deep Learning and Multiclass SVM-based approach to locate missing children. Using the FGNET dataset, a CNN model is trained to analyse new child photos uploaded by users, comparing them against a database of missing children. A CNN model trained on the FGNET dataset analyses uploaded...

This study investigates the impact of technology, employee competency, and job satisfaction on employee performance within Makassar’s banking sector. Data were collected from 121 banking employees through a Google Forms questionnaire utilizing a 5-point Likert scale. The results reveal that all three...

Diabetes is a chronic metabolic disorder caused by insulin resistance or inadequate insulin production, leading to severe complications such as cardiovascular diseases, kidney failure, neuropathy, and vision impairment. Factors such as sedentary lifestyles, poor dietary habits, aging, and genetic predisposition...

In traditional Chinese literature, “poetry” conventionally denoted verse composed in classical Chinese. In the early 20th century, Liang Qichao articulated the concept of the “Chinese nation”. This triggered a modern transformation for the term “Chinese poetry”. This transformation involved not merely...

Illegal, Unreported and Unregulated (IUU) fishing continues to harm marine ecosystems and affect global food stability. Vessels involved in such activities often hide their real movement by turning off, altering or spoofing their Automatic Identification System (AIS) signals. Detecting this type of behaviour...

This study explores the best model for the quantitative inversion of soil salinity index in an area, and adapts the least squares support vector machines (LS - SVM) regression forecast method. A variety of index inversions is made in serious saline-alkali land in Daqing area, and decision-making method...

Some previous works show that more than 60% of the information available on the Web is located in Deep Web database. Such information cannot be directly indexed by search engines. In this paper, a hybrid method, which is composed of a domain model and a block importance model is proposed to extract information...

Classification of synthetic radar images (SAR) is an emerging area especially with the advent of state of the art satellite image techniques. An SVM based texture analysis and classification utilizing the PCA for dimensionality reduction of SAR images has been presented in this paper to categorize the...

Services through social media are in great demand because they are direct, convenient and effective besides that social media allows pharmacists to reach consumers quickly and more easily. Destination making WhatsApp Bot to make it easier for users and service providers to communicate, consult and obtain...

This paper uses the support vector machine (SVM) algorithm to study the prediction of livestock production in Heilongjiang province, forms the sample set with the 1985-2010 data in Heilongjiang province, and set up the SVM model between factors and livestock production. Use SVM on the input and output...

This study introduces a unified AIoT-enabled smart aquaculture system that integrates real-time water-quality monitoring, dissolved-oxygen (DO) prediction, and fish-disease detection within a single, low-cost, field-deployable framework. The system employs Arduino sensors to measure temperature, pH,...

Ecological security classification of land resources play an important role in sustainable utilization of land resources and improve benefit of healthy development of urbanization in China. According to the county level of ecological security classification of land resources data which is large scale...

Against the backdrop of increasingly fierce technological competition, technology mergers and acquisitions (M&As) have become an important way for enterprises to quickly obtain innovative resources, but the integration process is accompanied by significant risks. Through literature review and case...

With implementing the Double Reduction Policy, China’s education governance system has also undergone profound reform. This paper explores the necessity of the Double Reduction Policy in China from the perspective of students’ and parents’ current situations, the change of school regulations, and the...

Due to the rapid development of society and information technology, the traditional POI data collection methods can no longer meet the new requirements from users. Specifically, the data collection methods are costly, the data update speed is slow, and the attributes are not complete. Based on the geographic...

In order to improve the correct rate of analog circuit fault diagnosis, a method based on SVM optimized with BQPSO is put forward. Firstly, BQPSO algorithm and its steps are presented; Then the performance impact factors of SVM are analyzed, and the steps of SVM parameters optimized with BQPSO are given;...

The development of the Internet makes it easier to get data. However, it is more urgent to obtain effective information on the large data which is redundant. Based on the risk prediction system of power intelligent automation, this paper tries to solve the problems of enterprise risk management, and...

The development of mass media to obtain information needs to be supported by providing accessibility for the deaf. Easy access with the principle of equality in diversity and responsiveness to the needs of persons with disabilities in public services. The purpose of accessibility services is to provide...

Driven by the rapid development of AI technology and machine learning, the advancement of machine translation (MT) is constantly gaining momentum. Undoubtedly, MT has greatly improved the efficiency of translation, especially the translation of scientific and technical documents. That said, the application...

Academic burnout is a well-known concept associated with students’ exhaustion during academic life. This study aims to explain factors related to academic burnout during the COVID-19 pandemic. The research method adopted a systematic literature review method to conduct scientific articles indexed by...

COVID-19 has a negative impact on human immunity. The rate of patients infected to death continues to increase every day. The social restriction protocol makes people reduce activities outside the home including physical activity or sports, even though physical activity is one of the treatments in maintaining...

Principal Component Analysis (PCA) is a well-studied method in face recognition. Noticing that few researches focus on pre-processing of images, which will also improve the performance of feature extraction of PCA algorithm, we present an improved approach of PCA based face recognition algorithm using...