257 hasil untuk machine learning
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Artikel Jurnal
Using Machine Learning in Forestry
…in the number of academic studies in which modern approaches such as machine learning and recently emerged automatic machine learning (AutoML) are integrated into decision-making processes in forestry. This study aims to increase further the comprehensibility of machine learning algorithms in the…
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Artikel Jurnal
Machine Learning Applications in Dentistry
…recent studies in this area and envisions future directions on the use of machine learning in dental problems.
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Artikel Jurnal
Use of Machine Learning Methods in Psychiatry
Machine learning methods, which are becoming more and more popular in artificial intelligence and data analysis, provide learning from data in many different fields. In the studies conducted in the field of health, these methods support healthcare professionals and physicians. Psychiatry is one of…
Dari koleksi institusi
- Machine learning dan computational intelligenceWidodo Budiharto · 2016 · UNILAK
- Machine learning (konsep dan implementasi)Yaya Heryadi · 2020 · UNILAK
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Artikel Jurnal
Predicting Academic Achievement with Machine Learning Methods
…success averages were estimated by using regression / classification machine learning models on the data obtained from the survey results. According to the experimental results obtained, the prediction of the student's grades has been successfully implemented with machine learning methods.
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Artikel Jurnal
CLASSIFYING LIVER DISEASE WITH BOOSTING MACHINE LEARNING APPROACHES
…nature and high costs. This research examines the application of advanced machine learning techniques such as Gradient Boosting, AdaBoost, XGBoost and CatBoost for classification of liver diseases using a publicly available dataset of 1700 clinical records. Statistical analyses identified key…
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Artikel Jurnal
A Machine Learning Approach for Quantifying Academic Misconduct
…is necessary for planning and resource allocation. This paper proposes a machine learning algorithm to quantify the mag nitude of academic misconduct among undergraduate students. In this study, cluster analysis was employed with outlier detection and removal. The algorithm was trained on a dataset…
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Artikel Jurnal
Machine Learning in Family Research: A Systematic Review
Machine learning is a powerful tool for extracting meaningful patterns from large datasets and performing predictive modeling. In recent years, machine learning methods have been increasingly applied in family sciences, mental health, and educational research. This systematic review aims to…
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Artikel Jurnal
Machine Learning, Drug solubility, Graph Neural Networks, Regression models
2021 yılındaki ortalama küresel sıcaklık değerinin, sanayi devrimi öncesi döneme göre üst üste yedinci kez (2015–2021) 1 ℃’nin üzerinde seyretmesi, artış miktarının 1.5 ℃’de tutulması gerektiğini nedenleriyle ortaya koyan Paris Anlaşması’nın önemini artırmaktadır. Anlaşma ile belirlenen hedeflere…
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Artikel Jurnal
Stacked Ensemble Machine Learning Model of Energy Consumption Prediction
…and efficacity. In this paper, we investigate the performance of several machine learning methods, such as linear regression, K-Nearest neighbor, support vector regressor, random forest, gradient boosting, and stacking to predict energy consumption in Tetouan city, in Morocco. To evaluate the…
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Artikel Jurnal
Analysing the Refurbished Smart Phone Market with Machine Learning
…challenging for consumers, sellers, and remanufacturers. In this context, machine learning can support high-accuracy price prediction. Developing feature-based price prediction models for refurbished smartphones helps to explain price fluctuations and to estimate a device’s value by considering…
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Artikel Jurnal
Detection and Prevention of Medical Fraud using Machine Learning
…prospective medical frauds should be prevented and detected immediately. Machine learning is considered one of the most powerful and optimal approaches to prevent medical fraud. An example application is used to assess the efficacy of machine learning in the medical fraud detection context as part…
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Artikel Jurnal
House Value Estimation using Different Regression Machine Learning Techniques
This study investigates the effectiveness of various regression algorithms in estimating house values using a dataset sourced from Zillow.com, encompassing 15,000 residential properties from Denver, Colorado. Comparisons of different models such as linear regression, Ridge regression, Lasso…
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Buku Teks lengkap
Azure Machine Learning Studio ile Makine Öğrenmesi Uygulamaları
With the increasing data volume today, various methods and techniques are needed to make data-based decisions. Machine learning, which is a subset of artificial intelligence and has been frequently used for this purpose in recent years, has achieved great success in a wide variety of fields…
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Artikel Jurnal
Guava Fruit Disease Classification Using Deep Learning and Machine Learning Models
This study presents a classification approach for guava fruit diseases using both deep learning and machine learning models. InceptionV3 was employed to extract image features, which were subsequently classified using models such as artificial neural networks support vector machines, k nearest…
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Artikel Jurnal
Live Weight Prediction in Norduz Sheep Using Machine Learning Algorithms
The objective of this study was to compare predictive performances of four machine learning (ML) models: Support Vector Machines with Radial Basis Function Kernel (SVMR), Classification and Regression Trees (CART), Random Forest (RF) and Model Average Neural Networks (MANN) to predict live weight…
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Artikel Jurnal
Classification of Some Fruits using Image Processing and Machine Learning
In this study, an image processing algorithm and classification unit were developed to classify the fruits according to their size and color characteristics. For this purpose, a total of 300 fruits (50 fruit samples from each of the Starkrimson Delicious and Golden Delicious apple varieties…
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Artikel Jurnal
Urban traffic volume forecasting using machine learning and neural networks
…obtained from IBB Open Data Portal and the Weather Underground platforms. Machine learning techniques and Artificial Neural Networks were used in the research, and R programming language was used for data analysis. As a result of the research, the models with the highest prediction accuracy were…
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Artikel Jurnal
The Language of Soil: Soil Analysis with a Machine Learning Approach
…data from the Odunpazarı district of Eskişehir province and proposes a machine learning–based approach. First, Principal Component Analysis (PCA) was applied to reduce data dimensionality, after which the K-Means algorithm classified the soils into three clusters. These clusters revealed…
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Artikel Jurnal
Machine Learning-Based Analysis: Retired Customer Attrition and Its Societal Implications
…of retired customer attrition. Decision tree and random forest machine learning models were trained to identify the key factors influencing customer attrition. The main intention of the research methodology followed in the article is to determine the best possible approach that would aid in…
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Artikel Jurnal
Performance Comparison of Genetic and Machine Learning Algorithms in Crypto Markets
The evolution of statistical methodologies for research analysis has notably contributed to the diversification of analytical and predictive techniques. Notably, machine learning, which leverages mathematical and statistical approaches to draw meaningful inferences from data, has made remarkable…