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For the non-linear relationships of main influence factors of slurry pipeline safety status and the confusable problem of slurry pipeline safety status, this paper used the cross validation method to select the optimum parameters of the kernel function and combined the support vector machine to diagnose...

The phase vocoder[1] has long been a well established tool in pitch shifting technology. It analyzes and synthesizes audio signal via short-time Fourier Transform. Unfortunately, Fourier Transform leads to the inevitable inherent frequency leakage which decreases the accuracy of the pitch shifting effect...

Changes in the stock market have a significant impact on individual investment management and are closely related to economic research and market development trends in the country as a whole. If the trend of stock prices can be predicted more correctly, investors will make more scientific investment...

For Unbalanced Data Set, the KNN (K - the nearest neighbor) and SVM (support vector machine) classification algorithm’s prediction result would tend to most class; the misclassification rate of the minority class was big. This paper analyzed in detail the influence of unbalanced data set to KNN and SVM...

To solve the time-consuming problem and the low efficiency of the global exhaustive searching in the object tracking, this paper propose a new search strategy based on motion estimation and structural constraints. First, the motion vector of one object is calculated, associating with the location of...

Yogyakarta has considerable tourism potential, as evidenced by tourist visits within one year 2023 reaching more than 7 million. Yogyakarta is a city of historical and cultural values from the Hindu Buddhist period. The historical value of Yogyakarta is an attraction and potential in the world of tourism...

Aiming at the shortcomings of traditional fading channel forecasting algorithms, least square support vector machine(LS-SVM) is applied to predicting underground fading channel. In light of complicated and changeable underground environment, the measured data may be abnormal. Thus, an improved LS-SVM...

In today's world, everyone relies heavily on social media. The vast majority of individuals nowadays regularly use social media as their primary means of communication. Social networking site membership is growing exponentially every day, and many users are chatting with people across the world...

Various industries have begun to merge in the era of new media, and many offline industries have started to carry out brand new marketing by combining online methods. This study takes the music app NetEase Cloud Music as an example, as a more detailed study of the reasons for the rapid development of...

Support vector machine is a classification algorithm emerged in recent years and has been successfully applied to many areas, and least squares support vector machine is a technology developed from the traditional support vector machine and has important researching significance. Firstly, this paper...

This work follows the Software Development Life Cycle (SDLC) to develop a women's safety application using Java within the Android Studio environment. The application integrates audio sensing, machine learning, cloud storage, and geolocation to address women's safety concerns. It utilizes audio...

On account of the promising performance in accuracy, maximum margin clustering (MMC) has attracted attentions from many research domains. MMC derived from the extension of support vector machine (SVM). But due to the undetermined labeling of samples in dataset, the original optimization is a nonconvex...

To improve the classification accuracy of defects, a novel algorithm has been developed based on dual-parameters optimization of the principal component analysis (PCA) and the linear discriminant analysis (LDA). The original defect images are transformed to eigen-defects by PCA which contains all features...

Many researchers in the fields of artificial intelligence and human sensing have been attempting to find a solution to the issue of posture detection. Posture recognition for the purpose of remote geriatric health monitoring, including standing, sitting, and walking. Most recent research has used conventional...

With the rapid development of Internet, people becoming busier day by day are beginning to use domestic Internet, a powerful platform, to do business online. It is not the strongest of the species that survive, but the one most responsive to change. Since our team's project is to build Ou Palace's network...

This work follows a systematic approach based on the Software Development Life Cycle (SDLC) to design and develop a garbage collection application using TensorFlow Lite machine learning model in Java within the Android Studio environment. The application addresses waste management challenges by integrating...

With the number of mobile Internet users increased year by year, the development of a trend which cannot be halted in mobile e-commerce, and mobile providers have been developing clothing clothing brand and jointly promote the e-commerce platform. This article is from the perspective of e-commerce platform,...

Fault diagnosis for hydraulic components has features of nonlinearity and high dimensional pattern identification, so it’s difficult to do it accurately with small sample using some common methods. Aimed at this problem, fault analysis for electro-hydraulic servo valve is carried on and the thought of...

In recent years, many IP movies have achieved excellent box office results in China’s movie market, and brand spillover effects are generated due to the fact that the IP itself may transmit quality signals. In this paper, 338 IP movies in the Chinese movie market from 2014 to 2023 are taken as research...

Accurately predicting the onset of cardiovascular disease is one of the most pressing problems in modern medicine. Medical experts devote a great deal of time trying to pin down what's causing this. The goal of using several algorithms, including LR, KNN, SVM, GBC, and the GridSearchCVs, is to forecast...

The role of resident halls on shaping personality traits among university students in Bangladesh has been investigated, focusing on sociability, emotional regulation, stress management and academic behavior. A dataset involving 226 students from several universities was analyzed based on different machine...

In today’s fast-paced world, the rapid advancement of information technology and mobile Internet has led to a significant shift in how people acquire information, conduct work, manage their daily lives, engage in social networking, and seek leisure and entertainment. This transformation has propelled...

The face recognition technology has evolved and tackled many challenges while also providing opportunities for enhancement in diverse domains. Concerns regarding the privacy of the training data have given rise to privacy-preserving methodologies, including federated learning and least effort protection...

The link between health and the economy has been well-documented in existing literature. However, prior research on this topic has yielded divergent findings regarding how population health specifically impacts economic outcomes, lacking a definitive consensus. This study addresses this gap by comprehensively...

In light of the increasing complexity of digital security risks, This work aims to utilize machine learning algorithms, particularly Support Vector Machines (SVM) and Naive Bayes, to bolster the identification and mitigation of deceptive practices in digital environments. The utilization of SVM and Naive...

Steel production is regarded as a typical multi-stage system given its long process flow feature. In this paper, the quality predictive control features of steel production is studied; a two-phased PSO-SVM predictive control model for multi-stage production is established. In order to solve the model,...

In our previous work, a parallelizing sequential minimization optimization was proposed, where the algorithm was executed successfully but its convergence cannot be guaranteed in some cases. In this paper, an improved version is proposed, which can avoid falling into the endless loops. In the proposed...

Wireless sensor network (WSN), which combines the technology of sensor, embedded system and wireless communications, has become increasingly popular and important in our lives. Security is an important issue for WSN. In this paper, we propose a novel method to detect the attacks in WSN. Our method composes...

With the development of the computer, BOW model and SC model are applied to a large number of image classifications, and exhibit excellent performance, which become a hot topic in the field of computer vision. In the paper, we proposed a new framework of dictionary learning. the objective function based...

Personal data is now routinely flowing between legal jurisdictions, making the personal data of residents in each country particularly vulnerable to acquisition by foreign intelligence services. As a result, barriers to cross-border data flows are spreading globally due to security concerns. For example,...

In our research, we propose an Enhanced Region-based Convolutional Neural Network (RCNN) for respiratory disorder detection through audio analysis. It tries to improve model performance by hyperplane optimization with Fire Hawks Optimizer. Materials and Methods: Group 1: Existing method(c) Conventional...

Existing studies of online discourse in China had primarily focused on the government’s control and censorship of online content and their sociological implications, and not enough emphasis had been placed on self-censorship, especially when it pertains to the individuals’ interaction with the knowledge...

Financial technology development in the banking world has a role in encouraging the transformation of the digital economy towards Sustainable Development Goals (SDGs) to improve the economy that continues to innovate according to people’s needs. This innovation is found in information technology-based...

The population issue is related to regional economic development, and population changes will affect the formulation of the regional basic policies, the arrangement of labor and employment. Huizhou is located in the Pearl River Delta Economic Belt of Guangdong Province in China, with a high population...

In saliency detection, almost all the approaches map an image into a graph and assign the saliency value to each element, e.g. pixel, region or superpixel. In this paper, we first utilize a series of image features among superpixels in the support vector machine (SVM) to train linear predicted models....

Scientific irrigation is very important for saving water in agriculture, increasing output and benefit in our country. In this paper a method of nonlinear character extraction based on kernel canonical correlation analysis(KCCA) is presented in which information of soil and environment are input vectors...

This study explores the relationship between working capital management (WCM) efficiency and corporate financial performance using panel data from 1,200 non-financial listed firms across 10 emerging economies (Brazil, Russia, India, China, South Africa, Indonesia, Mexico, Turkey, Thailand, and Malaysia)...

The nexus between Environmental, Social, and Governance (ESG) disclosure and corporate risk management is increasingly pivotal, yet empirical evidence from emerging markets remains fragmented. This study investigates the influence of ESG transparency on firm risk—specifically total and idiosyncratic...

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...

In the 2020 Child Friendly Schools policy guidebook, it is explained that the Child Friendly Schools (SRA) policy is a mandate to protect children wherever they are. To make this policy successful, a lot of efforts are needed that are carried out thoroughly and involve all sectors including the children...

The purpose of this study is to investigate how environmental investment and good corporate governance (GCG) affect sustainable company value where company size as control variable. This research uses the secondary data on 30 manufacturing companies that listed in the Indonesian Stock Exchange for the...

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...

One of the learning practices and challenges in education is related to limited human resources, lack of teachers, lack of students, and also lack of infrastructure in the form of learning places. This problem is not only faced by schools in Indonesia, but also becomes a problem for the implementation...

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 paper describes the development of the smart home intelligent switch system and the necessity and convenience of the office,The intelligent switch can be connected to WiFi network to control appliances through mobile APP, what get people generally favored is its small size, convenient operation,...

Based on the investigation and analysis of college students’ extracurricular activities, most college students use sports APP to help them achieve the goal of fitness. According to the functions and characteristics of sports APP, it is shown that sports APP play an important role in building a healthy...

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...

As a result of the stimulating monetary and fiscal policies during the Covid-19 pandemic, the interest rate in the US has reached close to zero and the inflation rate has reached an unprecedentedly high level–seven percent in the year 2021–due to problems of the supply chain. The Fed has announced its...