151 results for machine learning
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Journal Article
Machine learning and essentialism
Machine learning and essentialism have been connected in the past by various researchers, in order to state that the main paradigm in machine learning processes is equivalent to choosing the “essential” attributes for the machine to search for. Our goal in this paper is to show that there are…
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Journal Article
Machine Learning Techniques for Fatal Accident Prediction
Ensuring public safety on our roads is a top priority, and the prevalence of road accidents is a major concern. Fortunately, advances in machine learning allow us to use data to predict and prevent such incidents. Our study delves into the development and implementation of machine learning…
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Journal Article
Estimating Ego States: The Machine Learning Perspective
The interface between Artificial Intelligence (AI), machine learning (ML) and psychology is an intensively explored research area. Specifically, Transactional Analysis (TA), with its structured and precise language, presents a promising area for applying ML techniques, unveiling new potential…
From your institution’s collections
- Machine learning dan computational intelligenceWidodo Budiharto · 2016 · UNILAK
- Machine learning (konsep dan implementasi)Yaya Heryadi · 2020 · UNILAK
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Journal Article
PERFORMANCE COMPARISON OF MACHINE LEARNING ALGORITHMS FOR PREDICTIVE MAINTENANCE
…and alert about their possibility. This paper presents a summary of the machine learning algorithms that can be used in predictive maintenance and comparison of their performance. The analysis was made on the basis of data set from Microsoft Azure AI Gallery. The paper presents a comprehensive…
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Journal Article
DETERMINING STUDENT'S ONLINE ACADEMIC PERFORMANCE USING MACHINE LEARNING TECHNIQUES
Predicting student's academic performance during online learning has been considered a major task during the pandemic period. During the online mode of learning, academic activities have been affected in such a way that the management of educational institutions has planned to design support…
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Journal Article
The effectiveness of machine learning in detecting phishing websites
Phishing poses a significant risk in the field of digital security, requiring effective methods for identifying fraudulent websites. This study evaluated the performance of nine machine learning classification models in the context of phishing website detection. Two different input datasets were…
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A Review of Machine Learning Applications in Aviation Engineering
This review paper investigates how machine learning (ML) has transformed multiple facets of aviation engineering. The work demonstrates substantial progress in flight operations and air traffic management (ATM) optimization through frameworks such as Reinforcement-Learning-Informed Prescriptive…
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Journal Article
Hybrid machine learning framework for forecasting and evaluating university rankings
…are usually based on fixed weighted indicators, while purely data-driven machine learning models often provide limited transparency for institutional decision-making. This paper proposes a hybrid analytical–machine learning framework for evaluating and forecasting university rankings using…
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Journal Article
Unsupervised Classification of Japanese Candlesticks: Technical Analysis vs Machine Learning
The unsupervised clusterization of a set of Japanese Candlesticks generated by the currency pair prices on the Forex market has been performed. Several algorithms that do not require the number of clusters in advance have been used. It turns out that different algorithms give glaringly different…
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Journal Article
THE UTILIZATION OF MACHINE LEARNING FOR NETWORK INTRUSION DETECTION SYSTEMS
…against evolving threats. The goal is to explore the potential of MLP in learning complex patterns and adapting to dynamic attack vectors, thereby improving detection accuracy. Key results from 5-fold cross-validation demonstrate model consistency, achieving an average accuracy of 0.97 with minimal…
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Journal Article
Utility of Machine Learning Technology in Microbial Identification: A Critical Review
…the culture method. The area of microbiology has made substantial use of machine learning (ML) methods to tackle this problem.
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Journal Article
A Review of Generative Design Using Machine Learning for Additive Manufacturing
This review explores how generative design is combined with machine learning (ML) to achieve additive manufacturing (AM) and its societal transformative effect. Generative design uses complex algorithms to automate the process of designing best-fit designs, mass customization, and customization to…
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Journal Article
Machine learning and sentiment analysis in behavioural investing – evidence from Poland
The recent popularity of behavioural finance, combined with machine learning, offers an opportunity to challenge the duopoly of fundamental and technical analysis in stock selection. Behavioural analysis – an indirect method of stock evaluation based on the direct analysis of investor behaviour –…
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Journal Article
Optimization of machine learning methods for de-anonymization in social networks
…can also be exploited for malicious purposes. In this study, we develop a machine learning-driven de-anonymization system for social networks, with a focus on feature selection, hyperparameter tuning, and dimensionality reduction. Using supervised learning techniques, the system achieves high…
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Journal Article
Ethical Competencies in Machine Learning from a Communicational Perspective in Educational Process
…to discuss selected reasons for this state of affairs in the context of machine learning (ML) methodology, including the issues and applications of artificial intelligence from the perspective of scientific communication that occurs in the educational process. Given this goal, a research problem…
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Journal Article
MACHINE LEARNING FOR THE SELF-ORGANIZATION OF DISTRIBUTED SYSTEMS IN ECONOMIC APPLICATIONS
In this paper, an application of machine learning to the problem of self-organization of distributed systems has been discussed with regard to economic applications, with particular emphasis on supervised neural network learning to predict stock investments and some ratings of companies. In…
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Journal Article
Effectiveness of Variable Selection Methods for Machine Learning and Classical Statistical Models
In line with new international financial supervision directives (IFRS9), banks should look at a new set of analytical tools, such as machine learning. The introduction of these methods into banking practice requires reformulation of business goals, both in terms of the accuracy of predictions and…
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Journal Article
Predictive Power of Machine Learning Models in Forex Market: A Comparative Study
In this paper, machine learning models for Forex prediction, evaluating traditional ensemble methods (Random Forest, XGBoost, LightGBM) against specialized time series models (Prophet, Arima, LSTM) across multiple currency pairs are compared. Performance assessment uses both statistical metrics…
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Journal Article
How Artificial Intelligence Learns: Legal Aspects of Using Data in Machine Learning
Recalling the debate around data justice in order to highlight which parts of this multifaceted concept have been endowed with legal relevance by EU legislation or initiatives, the paper argues that the EU should implement a more “instrumental” approach to data justice. This perspective emphasizes…