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Computer-aided detection(CAD) system for lung nodules plays the important role in the diagnosis of lung cancer. In this paper, an improved intelligent recognition method of lung nodule in HRCT combing rule-based and costsensitive support vector machine(C-SVM) classifiers is proposed for detecting both...

In order to accurately predict the chaotic time series, a novel approach based on integration of wavelet transform and Relevant Vector Machine (RVM) is proposed. The best wavelet decomposition level is determined with the condition that a certain function space orthogonal projection energy in wavelet...

By analyzing relative literatures and building a simulation model, this paper finishes the analyzing of fault waveforms and studies fault characteristics from the perspective of signal synthesis.With one-to–many SVM, the image extract features and features is identified to training Sample and recognizing...

This paper mainly uses the angle of declination angle, and solar elevation angle and azimuth of the sun between the relationship, according to them with the longitude and latitude, date and time of the conversion formula, and the use of MATLAB software were calculated. It is concluded that the effects...

This paper presents a method which improves the thickness of the prediction model. At the same time, it builds up a SVM prediction model based on MATLAB simulation experiment. By comparing the simulation curves of the mechanism model and SVM regression prediction, it apparently can be seen that thickness-output...

The recognition of Mathematical Expressions (ME) constitutes a challenging problem in character recognition research. A very few studies of offline Mathematical expressions have been so far reported in the literature. This paper focuses on offline handwritten and printed mathematical logical expressions...

This study aims to explore research trends and future research directions on the topic of resources and capabilities from a strategic management perspective, using bibliometric analysis. The Publish or Perish Reference Manager application was used to extract data from the Google Scholar database. The...

With expanding admissions in every college in our country this recent years,future education is changing forn elite to popular. Students and parents pay more and more attention in school’location environment and other conditions, but some colleges are too far away form home for field observation, so...

In this paper we reason about the usefulness of two recent trends in fuzzy methods in machine learning. That is, we discuss both fuzzy support vector machines (FSVMs) and the extraction of fuzzy rules from SVMs. First, we show that an FSVM is identical to a special type of SVM. Second, we categorize...

Artificial Intelligence (AI) technology is growing rapidly and massively. Trends in the use of AI are spreading rapidly, as well as its use in the world of education and learning. AI has created a new transformation in education, teaching and learning. AI is recognized and has positive benefits and impacts...

In this paper, we propose a handwritten digit recognition method based on Support Vector Machined (SVM). Firstly, some main features are extracted from the handwritten digital images (Euler Number, roundness, moment feature, crossing density, pixel density). Secondly, adopt the method of SVM for classification....

The main problem in this research is that developments in the field of information technology bring various influences such as in the form of community participation when using digital media so that the idea emerges, namely the concept of digital citizenship. In order for digital citizenship to be utilized...

The Ministry of Education, Culture, Research, and Technology promotes the independent study-campus program (MBKM) to help students acquire various skills necessary to enter the workforce. This program provides ample opportunities for students to enhance their real-world knowledge and abilities based...

Antifreeze proteins (AFPs), which are also known as thermal hysteresis proteins, are ice-binding proteins. AFPs can adsorb to ice crystal surface and inhibit the growth of ice crystals in solution. But the interaction between AFPs and ice crystal is not known completely. Analyzing physicochemical characteristics...

Object detection in real-time video sequence is still a big challenge as the images are captured with different modalities such as occlusion, clustering, scale, size, color, illumination changes due to complex environment, low quality camera, trees shake and noise. To overcome these challenges, researchers...

This paper researches the intrusion detection problem of the network defense, pointing at the problem of low fitting defects in the traditional detection algorithm of high precision and low forecasting accuracy under the situation of small sample training, and puts forward the algorithm of Support Vector...

This study presents an extensive analysis of gender classification in college admission data. A wide range of algorithms: Logistic Regression (LR), Naive Bayes (NB), Support Vector Machine (SVM), Random Forest (RF), Convolutional Neural Network (CNN), Recurrent Neural Network (RNN), K-Nearest Neighbor...

This paper aims to determine the effect of storytelling posts on the Instagram account @jelajahmenusolo on brand engagement mediated by perceived influence and perceived information value on purchase intention. In this study, samples were taken from followers of the Instagram account @jelajahmenusolo....

Home cooking supports a healthy lifestyle, but selecting what to cook using accessible ingredients is problematic. The AI-driven Smart Recipe Generator resolves this by leveraging Machine Learning (ML), Computer Vision, and Natural Language Processing (NLP) to offer tailored recipes. Users can either...

To reduce the risk of zero borrowing of purchased books, the live use of library space, and the optimization of the library's shelving procedures, given the limited funds and space in university libraries, this article uses algorithms such as Light Gradient Boosting Machine (LightGBM), Support Vector...

The Creativity is part of a person’s special intelligence that has a strong influence on career and future success. This study aims to reveal the creativity of student learning through social life experiences. The research sample was selected purposively in accordance with the research objectives in...

Cognition is the process of identifying, selecting, interpreting, filtering, and using information that makes sense. It encompasses a complex function concerning the domains of memory, executive, attention, perception, language, and psychomotor. Consequently, impaired cognitive function in adulthood...

A method to recognize the channel siltation using support vector machine (SVM) was developed. The method was based on the system that the transducer arrays were laid out respectively on each side of the channel. Through the analysis of sonar signal acquired by data acquisition unit, the features to recognize...

Forecasting the price of one certain asset is always a research hotspot in the financial area. This paper studies which of SVM model and ARIMA model is more suitable for short-term stock forecasting. This paper use SVM model and ARIMA model to predict the stocks of Tesla, Apple, Meta and Amazon, respectively....

In times of natural or man-made disasters, effective coordination among rescue agencies is paramount to minimize casualties and alleviate suffering. To address this critical need, we introduce RESQNET, an innovative application designed to centralize information and facilitate communication among rescue...

In this paper, we propose a novel feature based on local oriented shape context (LOSC) descriptor for nighttime pedestrian detection. Shape context descriptor is widely used in object recognition but not making a good performance in complex situations because it does not consider the edge’s orientation....

In this essay, we mainly focused on how to predict the price of stocks. Our group studied Apple, Google, Microsoft, and Amazon stock prices. To solve the problem, we started with Recurrent Neural Network (RNN) to predict the stock’s price. Then, we used Long Short-Term Memory (LSTM) to grasp the pictures...

Diabetes mellitus (DM) is one of the most pressing health problems facing the world today. Chronically elevated blood glucose levels caused by insulin resistance or insufficiency are a hallmark of diabetes mellitus (DM). Serious issues affecting the heart, kidneys, eyes, nerves, and other vital organs...

In the 20th century, scholars began to try to discuss the relationship between Confucianism and democracy. In the 21st century, with the development of the democratic system, the connection between Confucian political thought and democracy has increasingly become an important academic topic. The combination...

In previous research, Augmented Reality-assisted learning media has been developed in responding to the educational challenges of the Industrial Revolution 4.0 and the results were greeted with positive enthusiasm from students, especially during the online learning period. However, in conducting the...

Hoarding behavior is named as pathological collecting, which involves saving of many useless objects that seem to be worthless to others. Obsessive compulsive disorder, depression and anxiety disorders are psychiatric disorders that are considered as frequent comorbid conditions for hoarding disorders....

Drive system of generator is an important part of wind turbine, once the fault occurs it will cause huge economic losses. For this reason, in this paper, a fault diagnosis method is proposed for generator rolling bearings, it combined with wavelet packet and support vector machine. Acquisition of wind...

Although content creation has grown more accessible and diversified in the digital era, the process frequently involves navigating many tools and platforms. Addressing this issue, Genius emerges as an all-in-one platform that democratizes content creation by seamlessly merging advanced AI capabilities...

Facial expressions are important cues to observe human emotions. Facial expression recognition has attracted many researchers for years, but it is still a challenging topic since expression features vary greatly with the head poses, environments, and variations in the different persons involved. In this...

In the paper, we propose a novel ordinal regression method called minimum class variance support vector ordinal regression (MCVSVOR). MCVSVOR is derived from minimum class variance support vector machine (MCVSVM) which is a variant of SVM, and so inherits the latter’s characteristics such as taking the...

The purpose of this study is to examine the influence of perceived behavior control, financial risk, personality traits, expected investment value on investment intention in Indonesia. The study used primary data. Data was obtained by distributing online questionnaires using Google Forms. Four hundred...

This study examines the effect of green human resource management on work productivity with environmental performance as a moderating variable. PT. Apsara Tiyasa Sambada, Klaten Regency. This study involved 42 employees of the company’s office to be used as respondents using a saturated sample, which...

River runoff is highly nonlinear as affected by the combination of climate, underlying surface condition, etc. Prediction of runoff may guide engineering design, construction and operation. Statistical Learning Theory (SLT) studies the rules of machine learning with finite samples. Support Vector Machine...

Purpose – The leadership process is one of the important factors in directing employees to have good performance. This study focuses on the discussion of the antecedents of servant leadership variables with their influence on employee performance with organizational commitment in the workplace as a mediator....

Ki Hajar Dewantara argues that Merdeka Belajar is the freedom given to student seeking all knowledge by themselves using their minds. Project-based learning will accommodate student independence because it will result in higher student engagement and deep concept understanding. The development of SMP...

The study aims to provide cultural restrictions as a pedagogical context of BIPA learning based on plurilingual and pluricultural competencies for BIPA Thailand students. This study uses bibliometric analysis methodology to map research publications on plurilingual and pluricultural characteristics of...

as sports performance is affected by many factors, it's crucial to choose effective divisors. A sports performance prediction model based on weight-SVM is proposed for factor selection and evaluation. Firstly, support vector machine is used to eliminate some invalid factors by use of cross validation...

Epileptic seizures, the Manifestation of abnormal electrical activity in the brain, represents a significant challenge in neurological health. Epileptic Seizures is unpredictable nature of when they occur, leading to potential injury or danger during this episode and can disrupt daily activities. Available...

Digital content in regional languages like Marathi is increasing every second on various online platforms, making it difficult to categorize manually. Marathi, a morphologically rich language, presents unique challenges for automated text classification. This study examines the performance of Support...

In today’s world an online existence and social media users utilize various social media platforms to express or comments their observations and opinions. The role of social media platforms are predicting Government Initiatives, Election results, product Analysis, business analysis, movie popularity,...

The literature study discusses how to measure inquiry skills. This literature study aims to determine and develop a form of measurement of inquiry skills. The method used is a systematic literature review. The initial literature obtained was selected based on predetermined criteria, namely: 1) English-language...

This research explores a spectrum of anomaly detection strategies for time-series datasets, emphasizing statistical frameworks, advanced machine learning algorithms, and integrated hybrid techniques. Approaches such as Improved Influenced Outlierness (IIO) and variants of Support Vector Machines (SVM)...

Conventional Network intrusion detection system (NIDS) mostly uses individual classification techniques, such system fails to provide the best possible attack detection rate. In this paper, we propose a new two-stage hybrid classification method using Support Vector Machine (SVM) as anomaly detection...

Through improved select tactics and genetic operators, the accelerating genetic algorithm (AGA) and simulated annealing algorithm (SA) were combined to form a new algorithm called accelerating genetic and simulated annealing algorithm (AGSA). A modified method to develop the flow rate prediction model...

A method for multi-class and multi-label automated text categorization based on twin-SVM with naïve Bayes ensemble is proposed. Twin-SVM classifiers give a solution to the multi-label problem. For multi-class situation, naïve Bayes classifier constrains the belonging scope of a testing sample within...