204.674 hasil untuk machine learning
Menampilkan 921–940 · 1,06 detik · RSS
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Artikel Jurnal
Machine Learning-Assisted Quantification of Organelle Abundance
…potential bias and variability. To address this issue, we present a machine learning–assisted algorithm that allows for the quantification of organelle density using the open-source Fiji platform and WEKA segmentation. Our method enables the automated quantification of organelle number, area, and…
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Artikel Jurnal
AInstein: numerical Einstein metrics via machine learning
A new semi-supervised machine learning package is introduced which successfully solves the Euclidean vacuum Einstein equations with a cosmological constant, without any symmetry assumptions. The model architecture contains subnetworks for each patch in the manifold-defining atlas. Each subnetwork…
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Artikel Jurnal
Predicting Active Antimicrobial Compounds Using Machine Learning
…this article as: Arman İ. Predicting active antimicrobial compounds using machine learning. Trends in Pharmacy 2025, 2, 0018, doi: 10.5152/TrendsPharm.2025.25018.
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Artikel Jurnal
Cascaded intrusion detection system using machine learning
…system (CIDS) is proposed by combining the one-class support vector machine (OC-SVM)-based AIDS and the decision tree-based SIDS. OC-SVM is used in conjunction with the newly built Distance-Based Intrusion Classification System (DICS). SIDS that use decision trees can discover and classify…
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Artikel Jurnal Teks lengkap
Breast Cancer Predictions Using Machine Learning Algorithms
Breast cancer is the most commonly rising problem among women. It is a type of cancer, and there are different causes of breast cancer and they can be predicted by having knowledge of the symptoms of breast cancer. Breast cancer can be caused if anyone from a family has suffered with this problem…
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Artikel Jurnal Teks lengkap
Predicting Big Mart Sales with Machine Learning
…are commonly discovered through data warehouse mining using a range of machine learning techniques, and businesses such as Big Marts can use the obtained data to forecast future sales volumes. Compared to other research publications, this one forecasted sales with higher accuracy using machine…
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Artikel Jurnal Teks lengkap
Cattle Disease Prediction Using Machine Learning Algorithms
The main purpose of this research paper is to assess the prevalence, diagnosis, and management of common cattle diseases in different countries, including Jordan, Pakistan, Uganda, Korea, Bangladesh, and Europe. Our dataset includes 163 cases and 123 detailed symptoms; this research identifies…
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Artikel Jurnal Teks lengkap
Predicting Course Engagement with Machine Learning Techniques
…surveys show that students have a 70% interest in joining online learning, and just 30% of students are interested in traditional learning. However, keeping students engaged is one of the most difficult tasks, since low engagement contributes to lower learning outcomes and higher dropout rates. We…
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Artikel Jurnal
Prediction of stillbirth using machine learning methods
Abstract This study developed a machine learning model to predict stillbirth using retrospective data from 32,953 singleton pregnancies at multi-centers in South Korea. Variables were collected at baseline, E1 (before 13 weeks of pregnancy), and T0 (before 28 weeks of pregnancy). Each separate…
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Artikel Jurnal
MLpronto: A tool for democratizing machine learning.
The democratization of machine learning is a popular and growing movement. In a world with a wealth of publicly available data, it is important that algorithms for analysis of data are accessible and usable by everyone. We present MLpronto, a system for machine learning analysis that is designed to…
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Artikel Jurnal
Automated spectrometer alignment via machine learning. Corrigendum
Corrigendum to the article by Feuer-Forson et al. [(2024). J. Synchrotron Rad. 31, 698–705].
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Artikel Jurnal
Encoding molecular structures in quantum machine learning
Quantum machine learning (QML) has great potential for the analysis of chemical datasets. However, conventional quantum data-encoding schemes, such as fingerprint encoding, are generally unfeasible for the accurate representation of chemical moieties in such datasets. In this contribution, we…
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Artikel Jurnal
Machine Learning-Based Transcriptomic Diagnosis of Periodontitis
…by subjectivity and low sensitivity. This study aimed to develop a machine learning (ML)-based diagnostic framework using transcriptomic data to enhance diagnostic accuracy and efficiency. Methods: Transcriptomic datasets from 616 samples (452 periodontitis, 164 healthy controls) were retrieved…
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Artikel Jurnal
Unveiling Gold Membership Classification Using Machine Learning
The main challenge in loyalty programs is selecting customers with limited funding. To address it, we explore various machine learning-based classification models. This study aims to enhance the effectiveness of a marketing strategy that promotes gold membership to customers with prior transaction…
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Artikel Jurnal Teks lengkap
Machine Learning and Modeling for Ship Design
Machine Learning (ML) is a sub-field of Artificial Intelligence (AI), devoted to understanding and building methods that leverage data to improve performance on sets of tasks [...]
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Artikel Jurnal
Machine learning methods (tokenization) in marketing research
…is difficult and time-consuming, as it is usually done manually. Modern machine learning techniques, particularly tokenization, can be used to automate such data processing. The purpose of the study is to test this method application to data processing of the field research “Monitoring of the…
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Artikel Jurnal
Detecting wide binaries using machine learning algorithms
We present a machine learning (ML) framework for the detection of wide binary star systems using Gaia DR3 data. By training supervised ML models on established wide binary catalogues, we efficiently classify wide binaries and employ clustering and nearest neighbour search to pair candidate systems…
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Artikel Jurnal
Predicting takeover rumor accuracy with machine learning
This study applies machine learning models such as TabNet, XGBoost, CatBoost, Support Vector Machines, a Multilayer Perceptron, and Logistic Regression to predict takeover-rumor accuracy using a proprietary dataset of 2074 rumor articles with identifiable target firms, screened from over 30,000…
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Artikel Jurnal
122 Statistically valid machine learning fairness evaluation
Objectives/Goals: Within the machine learning “fairness” literature, models audits are point estimates, and only effect size is considered. The well-developed frameworks in biostatistics for diagnostic testing apply directly to classifiers more generally; these principles can be extended to have…
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Artikel Jurnal
Applications of machine learning in plant biotechnology
Abstract Machine learning (ML) is rapidly reshaping plant biotechnology, yet current literature remains fragmented across subfields and often emphasizes applications without critically examining a systemic integration into agricultural workflows (methodological trade-offs or practical deployment…
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