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The advanced technology must be used properly to support other fields, one of them is education field. One of the technological advances that can be used is google form application. The purpose of this study was to develop a questionnaire instrument assisted by google form application to measure the...

Body shaming has become a major public concern in recent years. This paper aims to consider the adverse effects that follow the criticism of female bodies while they are attending high school. This paper analyzed 11 papers from Google Scholar. By organizing and reviewing these previous investigations...

In traffic monitoring and surveillance systems that have been improved with the empirical mode decomposition (EMD) technology, this re- search suggests an effective radar-based method for vehicle classification. A type of signal known as micro-Doppler signatures can identify minute motion patterns in...

The purpose of an intrusion detection system is to prevent damaging attacks. Additionally, the tactics and technologies used by attackers are always changing. In the last work, we proposed employing random forest and support vector machines (SVM) in military defense environments (KDD dataset).Numerous...

The “Two-Stage framework for Job Title Identification System in Online recruitment” presents an approach to accurately extracting and classifying job titles from online job advertisements using a two-stage process. This system addresses the challenge of parsing and understanding job titles from diverse...

With the rapid development of electronic technology in China, the number of mobile phone users and the likeability of mobile games continue to increase. In the mobile game industry, in order to be among the best, the game producer will use some marketing strategy that helps them to attract more users...

As our reliance on networked systems continues to grow, so does the risk of cybersecurity threats, which are becoming increasingly sophisticated and difficult to detect. Traditional Intrusion Detection Systems (IDS) often fall short in keeping up with these evolving threats, as they typically rely on...

Covid-19 began in 2020 in an unexpected way as the most serious global non-traditional security shock in a century. China is the first major economy to resume growth since the outbreak, and it is at the forefront of the world in terms of epidemic prevention and control and economic recovery. However,...

Women have a lot of unresolved psychological issues after being sexually assaulted. These issues are often the easiest to be ignored. These problems also hurt their soul and dignity. In Our country, this issue has also aroused the attention of the country and all walks of life in this field. This paper...

At present, the status of women is gradually improving, and more and more women choose to express their perspectives and ideas through the creation of romantic novels on the Internet, and many scholars are also analyzing the female perceptions behind this internet literature. Thus, it is very important...

This research aims to identify and analyze effective strategies for increasing labor absorption in the digital era. Utilizing the Systematic Literature Review (SLR) approach, this study evaluates a wide range of scholarly articles published between 2010 and 2024, sourced from prominent academic databases...

With interaction going online, there is increasing importance placed on con- trol. Basic ways devices can break your flow: Kindergartens and devices such as key- boards and mice. The Gesture Based Media Control System (GMGS) repairs this by means of computer vision and machine learning. It allows hands-free...

When investors face investing problems, the main issue is to make decisions on how to allocate resources among the variety of different assets, especially in the rapidly growing stock market.The paper aims to design an investment strategy for risk-averse investors. We use modern portfolio theory and...

This study aims to determine students’ perceptions of using Quizizz educational games in Indonesian learning. This quantitative research used a survey approach and a questionnaire to collect data. Twenty-five respondents were selected through purposive sampling, and questionnaires were administered via...

Populist thought has spread around the world in recent years, especially after the 2008 economic crisis. It is fair to think that populism has gradually changed from the popular trend of thought to the means and guiding ideology of some government party elections. Since 2008, Some populist political...

This paper presents a new method for image classification based on image saliency region. The proposed attention region latent SVM (ARLSVM) is highly distinctive by training in a weakly-supervised manner which without requiring objects position or bounding boxes in training images. We use a latent SVM...

Emotional Intelligence is the procedure of identifying the emotional tone of a string of words in order to comprehend the sentiments, viewpoints, and feelings conveyed in an online mention. This project presents a comprehensive study on the applications of Machine learning (ML) techniques in emotion...

The quality of machine translation is an important part in machine language competence. Currently, there are still many differences between machine translation and human translation. The quality of machine translation still could not reach the quality of human translation. We take a Chinese literary...

Brain tumor recognition is a serious task in medical imaging, helping in main diagnosis and handling development. This paper shows a deep learning-based method utilizing MRI scans for tumor detection and classification. The model integrates U-Net intended for splitting up and ResNet-50 for classification,...

This paper proposed a support vector machine SVM algorithm for WLAN intrusion detection, first calculates the information gain of network intrusion data, and selects the characteristics of properties having a greater impact on the classification from the raw data to optimize the parameters of SVM, Finally,...

To improve the network traffic prediction result, the paper put forward a nonlinear combination prediction model of network traffic flow. First, the single models of ARIMA, ARMA, GM (1, 1) were used in the prediction of characteristics of network traffic, Then three predicting results were input to a...

Searching engines become the major tool for information retrieval of users with the rapidly increasing Web information. Traditional search engines can't completely evaluate users' search aims. It will lead to retrieval quality decline and increased cost. The paper proposed a better personalized image...

In order to further improve pedestrian detection accuracy and avoid the disadvantage of original histogram of oriented gradients (HOG), differential template, overlap ratio and normalization method and so on are improved when HOG features are extracted, then more gradient information are extracted and...

Using the principal component (PCA) strong ability of extracting effective features of foundation pit horizontal displacement monitoring data (monitoring, monitoring temperature, relative humidity, excavation depth) characteristics analysis .extracting the effective principal component, constructing...

Due to the dual identity of “refugee” and “sexual minority”, the marginalized situation of bisexual asylum seekers is a superposition of all disadvantaged identities. They present a special and cumulative practical situation derived from both the identity of “sexual minority” and “plurisexuality”, facing...

Based on the recent stock price fluctuations of Coca-Cola and Pepsi, this paper analyzes the factors that affect the stock price fluctuations of Coca-Cola and Pepsi. The paper’s research method is to come to a conclusion through data review and analysis. The research object is the stock prices of Pepsi...

Due to the drawbacks in Support Vector Machine (SVM) parameter optimization, an improved quantum ant colony algorithm was proposed, and the learning ability in practical English speech emotion recognition was improved. The experimental results showed that quantum ant colony algorithm may significantly...

The arrival of the information age makes people more and more exposed to the multimedia information, and the multimedia teaching based on the visual audio and graphic images has been widely used. On English multimedia teaching information in text data content analysis and retrieval technology is relatively...

Nowadays, fandom and fan culture have step into the eyes of the public gradually. Many people are curious about how this subculture carries weight to society. In this article, we mainly focus on discussing two problems. The first is how the development of social media and technology influences fandom....

The main purpose of this paper is to discuss whether Google has a monopoly in the search engine industry and whether it will maintain a monopoly in the future. Firstly, using the five-force model to analyse the industry where Google is located explain Google’s position in the industry. Then through the...

In this paper, the mathematical models of the disturbance signal were to be designed. Adaptive LMS algorithm generalized morphological filter was set up based on the mathematical morphological, and the noise of power quality disturbance signal was managed. The different frequency energy distributions...

According to the difficult in selecting parameter of SVM when modeling on the gas quantitative analysis,and existing methods need long time,SVM optimized by improved grid search method was proposed to built an infrared spectrum quantitative analysis of gas.According to this method,the spectrum data of...

The development of technology has not only brought changes to our lifestyle but also affected our way of thinking. When it comes to education, technology has brought great opportunities to change the way of teaching and learning. Utilizing technology when teaching increases students’ motivation, engagement,...

As one of the main research directions of machine learning and CNN (Convolutional neural network), Autonomous vision and decision-making have many kinds of applications in various fields, especially in Driverless cars and decision-making on highways. In recent years, Tesla, HUAWEI, Google, and Microsoft,...

The earning of the investors in the stock market is related to their investment choice and the behavior of the stocks. The key to investors making a more intelligent investment decision is to predict the price and volatility of the stocks accurately. In addition, building a portfolio formation is also...

Cohesion and coherence are essential elements that have a role in forming structural coherence and coherence of the meaning of discourse texts. The formation of a coherent structure and semantic relationship cannot be separated from using the correct elements of cohesion and coherence, which are marked...

Handwritten digit recognition is of great value for application in the field of Image Processing and Pattern Recognition. For ensuring better recognition accuracy and speeding up classification process, this paper proposes a fast handwritten digit recognition method based on improved SVM. The new method...

This article is an overview of obsessive-compulsive disorder (OCD). This review aims to discuss OCD through present and past research. The methods of this review will involve the reviewing of pertinent and credible literature based on the database of Google Scholar and APA PsycINFO. In the results and...

The purpose of this study was to present and describe multiple efforts to foster the value of honesty in elementary school students. This study was a literature review. The authors used data collection documentation through Google Schoolar. Data were analysed by using the interactive approach, which...

Based on posterior probability of support vector machine, the analysis of dissolved gases in oil and the data of electrical tests are used comprehensively to recognize internal fault positions of the power transformer. This method not only inherits the advantages of the support vector machine for small...

A kind of fault diagnosis method for power transformer based on multi-SVM information fusion is proposed in this paper. Based on the "one against one" multi-classification SVM and pairwise coupling method, the multi-classification SVM probability outputs are obtained and regarded as the basic probability...

A kind of analysis method in which SVM is used for power transformer DGA is proposed in this paper. This method uses the SVM algorithm to classify the composition of DGA in transformer and diagnoses the fault of the transformer. At the same time, it introduces the fuzzy membership function, and it can...

The purpose of this study is to estimate psychological changes, especially the prevalence of anxiety and depression symptoms among university students during the pandemic. In addition, we also evaluate the potential lifestyle-related factors that make students more likely to experience these impacts....

This study was conducted with the aim of determining the relation- ship between the issuance of green bonds and the increase in the value of com- pany shares in the Indonesian capital market. Using a systematic literature re- view approach, this study collects and compiles various literatures that discuss...

The COVID-19 pandemic has currently taken over the public’s attention. Due to the pandemic, the situation had become uncontrollable which caused people to react with an act of self-protection. This resulted in the escalating level of panic buying by many people from around the globe. Drawing on the Protection...

In modern society, the odd-job economy has become an increasingly common phenomenon. In the context of the odd-job economy, workers find themselves in a precarious position, becoming freelancers, casual workers and contractors, even many full-time and professional jobs are undergoing this precarious...

This work presents an IP performance evaluation method, based on the Support Vector Machine (SVM). In this work, eight network parameters are collected: CPU utilization of switchboard, utilization of memory, network link-off, delay, delay jitter, bandwidth, bit rate of transmission and bit rate of reception....

Uers organize networks and exchanges with the help of social networks, clasiffy the friend to the so-called social circle of friends. Construction of such a social circle will take the user a great deal of time. This paper presents a machine learning methods, he mutual networking between friends is as...

Private college is the important constituent of higher education system ,To improve the quality of teaching, to promote teachers' quality and enhancement the teachers' teaching ability ,it is necessary to evaluate teacher's ability. Paper is on the basis of the existing teachers' assessment, proposed...

With the development of society and the spread of feminism, the female images of various countries have changed. Specifically, along with the Convention on the Elimination of All Forms of Discrimination Against Women was promulgated and became formally effective, the female images in the films and television...