687 results for machine learning
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Journal Article
Insurance cases: analysis by machine learning
…of the insurance case monitoring system in order to detect fraud using machine-learning methods. The development was carried out on the example of a database of insurance cases, which has 38 variables and contains 1000 records of insurance claims. The dataset provides information on 1) client – 10…
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Journal Article
Enhancing adaptive learning with Moodle's machine learning
This review explores how Moodle's machine learning capabilities enhance adaptive learning. We analyze five studies using Moodle for predictive and prescriptive support in education. These studies cover topics like learner classification, early risk detection, predictor comparison, reliability…
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Journal Article
Probability of poverty: PPI analysis by machine learning
Recently, poverty has been recognized as a global problem. Poverty Probability Index (PPI) is one of the tools to measure it. Based on the survey results on household characteristics and asset ownership, the PPI calculates the likelihood that a household lives below the poverty line. PPI is…
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
INFORMATION-EXTREME MACHINE LEARNING OF KNOWLEDGE CONTROL SYSTEM
The algorithm of machine learning of an automated subsystem of control of students’ knowledge according to the test tasks of the computerized education system is considered. In this case, machine learning is carried out within the framework of information-extreme intellectual technology of data…
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Journal Article
Application of machine learning in neuroradiology (literature review)
…etc.). In recent decades, artificial intelligence – particularly machine learning (ML) – has rapidly advanced and is increasingly applied for automated analysis of medical data in interventional neuroradiology. In neuroradiology, this approach has the potential to increase diagnostic accuracy and…
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Journal Article
Crime analysis and prediction using machine learning methods
Relevance. As artificial intelligence continues to develop and computer power increases, there is growing interest in applying machine learning methods to tackle tasks that are challenging for humans. One such task is crime prediction, which has significant potential to enhance the effectiveness of…
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Journal Article
Ensemble machine learning approaches for fake news classification
…this issue, this research embarked on a mission to harness the power of machine learning to combat fake news menace. This study develops an ensemble machine learning model for fake news classification. The research is targeted at spreading fake news. The research subjects are machine learning…
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Journal Article
AUTOMATED PENETRATION TESTING METHOD USING DEEP MACHINE LEARNING TECHNOLOGY
The article developed a method for automated penetration testing using deep machine learning technology. The main purpose of the development is to improve the security of computer systems. To achieve this goal, the analysis of existing penetration testing methods was carried out and their main…
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Journal Article
PARSIMONIOUS MACHINE LEARNING MODELS IN REQUIREMENTS ELICITATION TECHNIQUES SELECTION
The subject of research in the article is machine learning algorithms used for requirement elicitation technique selection. The goal of the work is to build effective parsimonious machine learning models to predict the using particular elicitation techniques in IT projects that allow using as few…
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Journal Article
STRATEGY FOR PROTECTING PERSONAL DATA IN MACHINE LEARNING SYSTEMS
Massive amounts of personal data drive modern machine- learning pipelines, but that same data can also pose privacy risks. This study gathers and reorganizes scattered empirical evidence on privacy- preserving methods- such as differential privacy, federated optimization, secure aggregation…
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Journal Article
Comprehensive algorithm for creating control machines based on machine learning
The article investigates a complex algorithm for creating control machines based on machine learning. The need to apply the principles of machine learning on control machines is revealed. The genesis of learning machines and their belonging to artificial intelligence are described. The principles…
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Journal Article
Information-extreme machine learning of a cyber attack detection system
The study aims to increase the functional efficiency of a machine learning cyber attack detection system. An information-extreme machine learning method of the cyberattack detection system with optimization of control tolerances for recognition features that reflect the traffic properties of the…
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Journal Article
Enhancing power system security using soft computing and machine learning
…a contingency rating. Methods. The proposed mathematical model with the machine learning with particle swarm optimization algorithm has been used to observe the stability analysis with and without the unified power flow controller and interline power flow controller, as well as the associated…
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Journal Article
STATISTICAL SOFTWARE R IN CORPUS-DRIVEN RESEARCH AND MACHINE LEARNING
…data in corpus-driven studies and creating linguistic classifiers in machine learning. With this in mind, a three-stage strategy of computer-statistical analysis of linguistic corpus data is elaborated: 1) data processing and preparing to be subjected to a statistical procedure, 2) utilizing…
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Journal Article
INFORMATION-EXTREMЕ MACHINE LEARNING FOR CONTROL SYSTEM OF PROSTHETIC HAND
The article considers the problem of information synthesis for capable of learning control system of prosthetic hand with non-invasive biosignal readout system. Machine learning was carried out within the framework of information-extreme intellectual technology of data analysis, which is based on…
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Journal Article
Using Machine Learning Methods to Estimate the Cost of Housing
…with large knowledge bases - a huge IT system. So far, the thoughtless machine still determines the price by the average value. Currently there are often situations when the appraised value of real estate, determined by the Module, exceeds its real market value. Given that the approach used by the…
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Journal Article
Machine learning with different digital images classification in laparoscopic surgery
The evaluation of the effectiveness of the automatic computer diagnostic (ACD) systems developed based on two classifiers – HAAR features cascade and AdaBoost for the laparoscopic diagnostics of appendicitis and ovarian cysts in women with chronic pelvic pain is presented. The training of HAAR…
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Journal Article
Дослідження ефективності застосування технології Machine Learning Services в задачах прогнозування
Викладено і проаналізовано результати експериметів щодо ефективності розв’язання задач прогнозування методами Machine Learning із застосуванням технології Machine Learning Services. Ця технологія полягає у перенесенні процесів оброблення даних з комп’ютера клієнта (як це реалізовано у класичній…
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Journal Article
THEORETICAL AND TECHNICAL ASPECTS OF MACHINE LEARNING USAGE IN CYBERSECURITY
The article explores the technical and theoretical aspects of machine learning (ML) in addressing the escalating complexities of cybersecurity threats in the digital age since the ever-growing rise in cybercrime has prompted users to utilize newer approaches to raise the bar on cybersecurity…
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Journal Article
Models and methods of machine learning for fake content detection
…on real examples and distinguish suspicious content from the genuine one. Machine learning, in particular deep learning models are one of the most perspective approaches for fake detection. These models are powerful tools based on artificial neural networks that are able to analyze different data…