204.674 hasil untuk machine learning
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Artikel Jurnal
Predicting Diabetes Mellitus with Machine Learning Techniques
…detection of diabetes mellitus within the medical community. Utilizing machine learning algorithms to analyze appropriate datasets for early disease prediction could prove life-saving. The objective of this paper is to examine four algorithms that are proposed to enhance the diagnosis of diabetes…
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Artikel Jurnal Teks lengkap
Applications of Machine Learning Algorithms in Geriatrics
…necessitates a rethinking of healthcare strategies. The integration of machine learning (ML)-type algorithms in geriatrics represents a direction for optimizing prevention, diagnosis, prediction, monitoring, and treatment. This paper presents a systematic review of the scientific literature…
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Identification of Complicated Lithology with Machine Learning
…in the second member of the Lucaogou Formation in the Santanghu Basin. Machine learning methods have demonstrated powerful nonlinear capabilities that have a strong advantage in addressing complex nonlinear relationships between data. In this paper, based on felsic content, the lithologies in the…
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Machine learning opportunities to predict obstetric haemorrhages
…to human thinking. One of the particular AI variants is presented by machine learning (ML), which develops accurate predictive models using computer analysis. Machine learning is based on computer algorithms, the most common among them in medicine are the decision tree (DT), naive Bayes classifier…
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Combating Antimicrobial Resistance: Spectroscopy Meets Machine Learning
…this urgent issue. Here, in this review, we have tried to illustrate how machine learning has been used with different spectroscopic analytical platforms—Raman spectroscopy (RS), Fourier-transform infrared spectroscopy (FTIR), and nuclear magnetic resonance (NMR)—to further accelerate the…
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Introducing Machine Learning in Teaching Quantum Mechanics
In this article, we describe an approach to teaching introductory quantum mechanics and machine learning techniques. This approach combines several key concepts from both fields. Specifically, it demonstrates solving the Schrödinger equation using the discrete-variable representation (DVR)…
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Artikel Jurnal Teks lengkap
Machine Learning-Assisted Secure Random Communication System
Machine learning techniques have revolutionized physical layer security (PLS) and provided opportunities for optimizing the performance and security of modern communication systems. In this study, we propose the first machine learning-assisted random communication system (ML-RCS). It comprises a…
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Artikel Jurnal
Evaluation of hydraulic fracturing using machine learning
…and geological parameters. This study presents a comprehensive machine learning (ML)-based framework to address this challenge by predicting HF efficiency using three widely used algorithms: Random Forest (RF), Support Vector Machine (SVM), and Neural Networks (NN). The novelty of this research…
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Artikel Jurnal
Мethods of Machine Learning in Ophthalmology: Review
Machine learning is applied in every field of human activity using digital data. In recent years, many papers have been published concerning artificial intelligence use in classification, regression and segmentation purposes in medicine and in ophthalmology, in particular. Artificial intelligence…
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Artikel Jurnal
Machine Learning Approaches for Software Defect Prediction
This paper analyses existing research about machine learning approaches in software defect prediction as a key element for improving software reliability and quality. The paper reviews the use of machine learning algorithms in software defect prediction framework’s bug prediction while assessing…
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Artikel Jurnal
Explainability in machine learning: a pedagogical perspective
IntroductionMachine learning courses usually focus on getting students prepared to apply various models in real-world settings, but much less attention is given to teaching students the various techniques to explain a model's decision-making process. This gap is particularly concerning given the…
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Artikel Jurnal
On Software Defect Prediction Using Machine Learning
This paper mainly deals with how kernel method can be used for software defect prediction, since the class imbalance can greatly reduce the performance of defect prediction. In this paper, two classifiers, namely, the asymmetric kernel partial least squares classifier (AKPLSC) and asymmetric kernel…
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Artikel Jurnal
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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Artikel Jurnal
Machine Learning Approach for Credit Score Predictions
…ensemble credit model that integrates the XGBoost and Support Vector Machine models to improve the accuracy and reliability of risk assessment credit scoring models. The method employs machine learning techniques to recognise patterns and trends from past data to anticipate future occurrences. The…
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Artikel Jurnal
Roadmap on fast machine learning for science
The need for microsecond speed machine learning (ML) inference for particle physics experiments has emerged in recent years, in particular for the forthcoming upgrades to the experiments at the Large Hadron Collider at CERN. A community has grown around the need to develop the custom hardware…
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Machine learning in neutron scattering data analysis
…the structure and properties of samples. With the global popularity of machine learning, its powerful automatic feature extraction capability was noticed by data analysis scientists. In recent years, the integration of neutron scattering data analysis and machine learning methods has seen…
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Artikel Jurnal
Incisional hernia prediction using machine learning models
…low or high Risk. There is no currently full peer-reviewed study in which Machine learning (ML) is applied for the prediction of IH, so the objective of this study was to develop a predictive model of IH based on different ML techniques. Methods Retrospective cohort study type of diagnostic tests…
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Artikel Jurnal Teks lengkap
Machine learning approach to QCD kinetic theory
The effective kinetic theory (EKT) of QCD provides a possible picture of various non-equilibrium processes in heavy- and light-ion collisions. While there have been substantial advances in simulating the EKT in simple systems with enhanced symmetry, eventually, event-by-event simulations will be…
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