204.674 hasil untuk machine learning
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Artikel Jurnal Teks lengkap
Data Analytics and Machine Learning in Education
The widespread application of information and communication technologies in education, especially in the context of learning management platforms, is generating a large amount of data related to the academic activities in which students and teachers participate [...]
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Artikel Jurnal
Machine Learning and Medication Adherence: Scoping Review
BackgroundThis is the first scoping review to focus broadly on the topics of machine learning and medication adherence. ObjectiveThis review aims to categorize, summarize, and analyze literature focused on using machine learning for actions related to medication adherence. MethodsPubMed, Scopus…
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Artikel Jurnal Teks lengkap
Machine Learning in IoT Networking and Communications
The fast and wide spread of Internet of Things (IoT) applications offers new opportunities in multiple domains but also presents new challenges [...]
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Artikel Jurnal Teks lengkap
Diagnosing diabetes mellitus using machine learning techniques
…been utilized. Moreover, twelve different classifiers that belong to six learning strategies have been evaluated using two datasets and several evaluation metrics such as Accuracy, Precision, Recall, F1-measure, and ROC area. The obtained results revealed that the correlation attribute evaluation…
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Artikel Jurnal
Opportunities for human factors in machine learning
IntroductionThe field of machine learning and its subfield of deep learning have grown rapidly in recent years. With the speed of advancement, it is nearly impossible for data scientists to maintain expert knowledge of cutting-edge techniques. This study applies human factors methods to the field…
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Artikel Jurnal Teks lengkap
Machine Learning for Plant Breeding and Biotechnology
…interpretation of results affected by G × E. Nonlinear nonparametric machine learning techniques are more efficient than classical statistical models in handling large amounts of complex and nondeterministic information with “multiple-independent variables versus multiple-dependent variables”…
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Artikel Jurnal Teks lengkap
Detecting Arabic Cyberbullying Tweets Using Machine Learning
…in Arabic social media platforms. This paper, therefore, aims to use machine learning in the Arabic language for automatic cyberbullying detection. The proposed mechanism identifies cyberbullying using the Support Vector Machine (SVM) classifier algorithm by using a real dataset obtained from…
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Artikel Jurnal Teks lengkap
Crop Prediction Model Using Machine Learning Algorithms
Machine learning applications are having a great impact on the global economy by transforming the data processing method and decision making. Agriculture is one of the fields where the impact is significant, considering the global crisis for food supply. This research investigates the potential…
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Artikel Jurnal
Predicting Diabetes Mellitus with Machine Learning Techniques
This study addresses the challenge of accurately identifying diabetes mellitus in individuals. Utilizing accessible online and real-world diagnostic data, we employ machine learning models, including Support Vector Machine, Random Forest, Naïve Bayes, eXtreme Gradient Boosting, and Deep Neural…
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Artikel Jurnal Teks lengkap
On the Applicability of Quantum Machine Learning
In this article, we investigate the applicability of quantum machine learning for classification tasks using two quantum classifiers from the Qiskit Python environment: the variational quantum circuit and the quantum kernel estimator (QKE). We provide a first evaluation on the performance of these…
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Artikel Jurnal
Milk weighing scale based on machine learning
…technology in the parlor systems. The aim of this study is to implement a machine learning-based milk weighing scale exploring the dynamics of milking flow, looking for an alternative strategy for low-cost mechanical milking systems, and/or parlor milking systems without appropriated…
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Artikel Jurnal
Bank Customer Segmentation Model Using Machine Learning
Banks generally carry out marketing strategies by offering deposit products directly to customers. However, this method is less effective because it requires individualized communication without considering the customer's interest in the product offered. Therefore, this research aims to categorize…
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Artikel Jurnal
High- superconductor candidates proposed by machine learning
We cast the relation between the chemical composition of a solid-state material and its superconducting critical temperature ( $T_\mathrm c$ ) as a statistical learning problem with reduced complexity. Training of query-aware similarity-based ridge regression models on experimental SuperCon data…
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Artikel Jurnal
Machine learning regression models for internal shame
…cognitive flexibility had the least impact. We initially tested nine machine learning regression techniques (Multi-Layer Perceptron, AdaBoost, Support Vector Regression, Artificial Neural Network, Decision Tree, Random Forest, Gradient Boosting, Stochastic Gradient Boosting, and Extreme Gradient…
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Artikel Jurnal
Reservoir inflow prediction using machine learning techniques
Accurate reservoir inflow prediction is vital for effective water resource management in regions like the Upper Indus Basin (UIB), characterized by complex hydrological dynamics and increasing climate variability. This study evaluates the performance of Random Forest and KNN algorithms in…
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Artikel Jurnal Teks lengkap
Predicting Bank Customer Churn Using Machine Learning
…during the training process. To predict customer churn, widely used machine learning algorithms—including Naive Bayes, k-Nearest Neighbors, Support Vector Machine, Logistic Regression, and Decision Tree—were applied, along with ensemble learning methods such as Random Forest, Adaptive Boosting, and…
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Artikel Jurnal Teks lengkap
Machine Learning Models for Nba Game Prediction
In the realm of sports analytics, the application of machine learning in predicting match outcomes has attracted considerable academic and practical interest. This study specifically examines NBA match data, encompassing key game indicators, team statistics, and individual player performance…
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Artikel Jurnal
Applying machine learning to safe vascular anastomosis
Background: Machine-learning technology is currently being introduced into the medical field and has been shown to aid diagnostic imaging, patient examinations, patient-data analysis, various surgical aspects, and medical education. Recent advances in exoscopes and monitors are prompting a shift…
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Artikel Jurnal
Optimizing foamed glass production with machine learning
…have investigated synthesis conditions, a comprehensive study applying machine learning approaches is lacking in the literature. In this paper, we apply machine learning methods, i.e., random forests of predictive clustering trees and a multilayer perceptron, training them on 124 experimental data…
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