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Stock markets exhibit high volatility, driven by numerous factors, making accurate stock return prediction a challenging task. This paper provides a comprehensive review of machine learning models used to stock return forecasting, comparing traditional models like Linear Regression (LR), Support Vector...

Artificial Intelligence (AI) is now a part of the education system. Artificial Intelligence (AI) changes how students work with study materials and learn things. I have observed that speech recognition, natural language processing (NLP) and text-, to-speech synthesis have advanced quickly. Speech recognition,...

Fire detection is a critical component in ensuring the safety of smart cities, where timely and accurate identification of fire incidents can prevent widespread damage. In this context, this work provides a sustainable and updated fire detection system for smart cities utilizing ResNet101V2 for feature...

This paper proposes a new fault diagnosis strategy for analog circuit after analyzing diagnosis method based on the BP neural networks and AI-ESTATE standard. At present, The artificial intelligence algorithms such as SVM and BP has been widely adopted in analog circuit fault diagnosis, but it is not...

In order to understand the application effect of social public opinion monitoring system, the application research of a data mining technology in social public opinion monitoring system is put forward. Firstly, this paper analyzes the challenges and new features of data mining technology under the data...

The shift of the learning system from offline to online is a challenge for higher education lecturers. It demands creativity and innovation in designing the learning system, teaching strategies, methods, and evaluations to measure the students’ abilities and understanding. Those who are accustomed to...

A brand-new supervised machine learning method is created to categorise network fraud applications as either benign or malevolent. It has been discovered that a combination of feature selection and supervised learning algorithms should be employed to determine the optimal model when taking the detection...

The COVID-19 pandemic has become an obstacle to human activity, impacting various economic, educational, and sociocultural activities. Although the main reason for the delay in these activities is health, it is feared that many activities related to many people, especially outside the room, will facilitate...

Lembaga Sertifikasi Profesi (LSP) is an organization in charge of educational assessment and certification evaluation legally licensed by Badan Nasional Sertifikasi Profesi (BNSP). Politeknik Negeri Bali (PNB) is one of the supporting institutions of BNSP which has a competency framework in every major....

Most sectors of the economy like the universities, high-tech, financial services, and government institutions have data center. However, there are some issues which encompass current data center such as physical location, energy consumption, performance, flexibility. Big organizations like Google, IBM...

This paper proposes an automatic detection method for short-circuit fault that based on the thermal radiation principle of infrared image. During copper electrolytic refining, short circuits between cathode and anode plates will lower the production efficiency. It is necessary to detect short circuits...

The Antenatal Class aims to increase knowledge, change attitudes and behavior of mothers about the health. Antenatal class in normal situations can be carried out routinely, becoming difficult to carry out during the Covid-19 pandemic. Pregnancy consultations and education classes for pregnant women...

We often find plants that have similarities in terms of shape and texture. In agriculture if we want to plant a plant species, other plants will be called weeds as they can inhibit plant growth. We can easily classify plants and weeds using image processing. Watermelon plants were the objects of this...

Based on the objective conditions that occur in learning the Basic Concepts of Biology at PGSD FIP UNIMED, it is found that; 1) The Basic Biology Concept Course is a new course for developing the MBKM curriculum as a result of the recommendation for the 2020 HGPGSDI virtual meeting, 2) lectures during...

Risk assessment is a critical step for the robust operation of an information system. We incorporate machine learning and statistical theory together in risk recognition and evaluation to accommodate the dynamic and complex characters of information systems. first, SVM classifier is employed to recognize...

Text sentiment analysis technology is a hot topic recently. As a short text, there is a feature of using complex sentences to express the author's true views and complex emotional tendencies in micro-blogs. In current researches on sentiment classification based on machine learning, few of them focus...

As one of research and practice hotspots in the field of intelligent manufacturing, the machine learning approach is applied to diagnose and predict equipment fault for running state data. Despite deep learning approach overcomes the problem that the traditional machine learning approaches for fault...

Machine learning methods are promising tools to transient stability assessment (TSA) of power system. Support vector machine (SVM) is used to assess the transient stability of power system after faults occur on transmission lines. Single machine attributes were studied as inputs of the SVM classifier....

The MATLAB image processing toolbox is applied to extract 8 classical features of leaf (including perimeter, area, roundness, complexity, elongation, sphericity, average coefficient variation, serration), and 400 leaf samples are classified respectively on BP Neural Network, Probabilistic Neural Network...

Multi-step-ahead prediction of tunnel surrounding rock displacement is an effective way to ensure the safe and economical construction of tunnels. This paper presents a multi-step-ahead prediction model, which is based on support vector machine (SVM), for tunnel surrounding rock displacement prediction....

Denial of Service attacks is a substantial threat to the network security, as they overwhelm system resources and disrupt essential services. This study investigates DoS attack detection using a hybrid LSTM SVM machine learning approach, integrating Support Vector Machine and Long Short Term Memory networks....

An active learning SVM technique taking advantage of the cluster assumption was proposed. In each active learning iteration, unlabeled instances in the SVM margin were first grouped into two clusters. Then from each cluster, points most similar to the other cluster were selected for labeling. Such points...

This study aims to determine the influence of User Generated Content in TikTok on purchase intention of Somethinc skincare products. Somethinc is a viral local brand which provides skincare and makeup products. In distributing information on a product, User Generated Content is one of the effective ways...

In the millennial era, advertising can be categorized as the most effective means to increase sales of specific products or brands, such as advertisements carried out with the help of social media. It encourages marketers out there to compete in creating creative and unique ads. Market orientation is...

The relationship between music and human emotions is a very interesting area. But how exactly music affects human emotions and what the valid parameters needed to classify the pattern is also an open question. In this paper, we consider the effect of four different types of music on human emotions through...

This study aims to determine the effect of compensation and social work environment on employee organizational commitment. The research method used is quantitative. The unit of analysis is employees in Bandung West Java, Indonesia, with as many as 54 respondents. Data collection was done using an online...

This study applies the support vector machine theory to the private university teacher evaluation system. According to the theory of educational evaluation, combined with the current evaluation indexes of teachers in private universities, this study makes a scientific and reasonable setting for the evaluation...

We study the regional mutual information to build a powerful and effective no-reference (NR) image quality assessment (IQA) approach. This approach does not need to compute distortion-specific features, but use the features which can distinguish the distortion in images across the distortion types. Such...

Stock market price prediction is a significant research area in finance, and accurate predictions can help investors make better trading decisions. With the advancement of machine learning (ML) technology, data-driven methodologies have progressively superseded classic statistical models. Based on Yahoo...

Tourism has been identified as a priority area for Indonesia's economic growth. Bali, one of the most popular tourist destinations in Indonesia and even the globe, was placed eighth as a tourism destination among hundreds of thousands of islands. Furthermore, tourism in Bali is unique owing to the...

Eating influences the sympathetic nerve control of the heart. However, few work has been done to reveal the influence of social exposure on eating-related sympathetic nerve activity. This work analyzes 14 subjects' eating RR interval series acquired before, during and after their eating alone and eating...

The accuracy retainability is becoming an important performance index of machine tool, and how to improve it is a tough problem faced to manufacturers and users. Generally, it needs to measure the errors termly and repeatedly during the specified period to analyze the timeliness machining accuracy retainability,...

Optimizing crop and fertilizer recommendations is paramount for productivity and sustainability in agriculture sector. Traditionally reliant on labor-intensive expert knowledge, this process now shifts towards automation with machine learning techniques. Our study on the existing system includes Random...

Stock price fluctuations are highly complex and uncertain, it is crucial for investment decision-making and finance risk management to accurately predict stock price movement of direction. In recent years, despite Machine Learning methods and Deep Learning algorithms having made progress in the field...

This study aims to develop learning media of réception orale débutant using Smart Apps Creator application for 2nd semester students and to determine the feasibility of the learning media developed. This research uses research and development (R&D) methods. ADDIE development model which consists...

Strategic leadership is important in managing Small and Medium Enterprise (SMEs). With leaders with strategic leadership capabilities, SMEs can face complex challenges, expand markets, improve competitiveness, and achieve sustainable growth. This study provides a bibliometric review of quality literature...

ICT-based learning has been a demand for 21st century of education. ICTs in education have been changing the role of teaching and learning activities from manual into digital. This study was focused to describe the speaking activities integrated with ICT in Public Speaking class by considering how the...

Despite the question of traditional medicine, botany or pharmaceutical research, the identification of medici- nal plants is one of the primary ones because of morphological similarity, localism as well as the requirement of a complex system of botanical knowledge. In this paper, the median explainable...

Stock price forecasting is crucial for investors and financial analysts, especially in the medical sector, which faces rapid technological advancements and fluctuating market conditions. However, accurately predicting stock prices remains a challenge, particularly for companies involved in vaccine development,...

The 2 statistics is a commonly used and effective method of feature selection for corpus. However, it suffers several deficiencies. First, it only counts the document frequency for each feature. Secondly, this method does not distinguish among features that have different frequency distributions within...

This paper aims to explore how large food companies have achieved concentration of power and control over the food system through strategies such as vertical integration, horizontal integration, and instrumental power in the dynamics of globalisation and trade liberalisation. The trend towards trade...

The COVID-19 pandemic not only jeopardizes the lives of infected individuals but also poses a substantial threat to healthcare professionals providing care. The inadequate availability of Personal Protective Equipment (PPE) has contributed to an escalating mortality rate among healthcare workers. This...

To solve the problem of slowly convergence rate,weakly generalization ability, complicated model structure and parameter determination method of traditional machine learning model, the RFR model is introduced to forcast the short-term wind power. The wind power prediction model of RFR has the advantages...

The Covid-19 pandemic has affected on Vocal Class in Method lecture in the Music Study Program, Sendratasik (Drama, Dance, and Music) Department, Faculty Language and Arts (FBS), Universitas Negeri Surabaya (UNESA). Changing the lectures system from face to face meetings to an online system raises its...

In recent years we have seen how the world has taken a turn! People have started to cover their faces with not just face masks but also with Face-Shields for extra precaution. Similarly, people are not stepping out of their homes without a sanitizer in their hands-reach. As the world is trying to evolve...

License plate verification is essential for locating the license plate region precisely in a vehicle image. Existing verification methods implemented after location are effective for the single-style license plates, but will not do well when distinguishing multi-style ones from complex backgrounds. We...

As global population growth poses an increasing challenge to agriculture, the importance of crop pest management has increased. At present, most pest problems are solved by traditional manual methods, which are becoming increasingly inefficient in the face of increasing production capacity, so automated...

Mental health issues have become increasingly prevalent in today’s fast-paced and stressful society, affecting individuals across all age groups. In response, music therapy has gained widespread recognition as an effective and accessible intervention to support emotional well-being and alleviate psychological...

Skin lesion detection using machine learning has emerged as a crucial tool in early diagnosis and treatment planning for skin cancer, particularly melanoma. This research focuses on implementing multiple machine learning algorithms, including Random Forest, Support Vector Machine (SVM), and Decision...

During the Covid-19 pandemic, all educational level learning activities, including junior high schools, switch to distance learning. This causes the need for adaptation in the learning process including the student assessment process which must be carried out by the teacher online. The assessment process...