204.674 hasil untuk machine learning
Menampilkan 961–980 · 0,75 detik · RSS
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Artikel Jurnal
Machine-learning a virus assembly fitness landscape.
…a fitness landscape in terms of the assembly efficiency. Using latest machine-learning techniques by establishing a neural network, we show that the intensive computation can be short-circuited in a matter of minutes to astounding accuracy.
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Artikel Jurnal
Nanodiamond quantum thermometry assisted with machine learning
…accuracy has yet to be thoroughly investigated. Here, we apply model-free machine learning with the Gaussian process regression (GPR) to ND quantum thermometry and compare its capabilities with the existing methods. We prove that GPR provides more robust results than them, even for a small number…
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Artikel Jurnal Teks lengkap
APPLICATION OF MACHINE LEARNING IN BEHAVIORAL MODIFICATION
Machine Learning centers on applications that gain for a fact and further develop their dynamic or prescient exactness over the long run. Behavioral Modification is the use of basic learning techniques such as conditioning, biofeedback, assertiveness training, positive or negative reinforcement…
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Artikel Jurnal
Student Performance Prediction Using Machine Learning Algorithms
…ranking and increases student employment opportunities. Modern learning institutions face challenges in analyzing performance, providing high-quality education, formulating strategies for evaluating students’ performance, and identifying future needs. E-learning is a rapidly growing and advanced…
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Artikel Jurnal
Calibrating Bayesian generative machine learning for Bayesiamplification
Recently, combinations of generative and Bayesian deep learning have been introduced in particle physics for both fast detector simulation and inference tasks. These neural networks aim to quantify the uncertainty on the generated distribution originating from limited training statistics. The…
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Artikel Jurnal Teks lengkap
Forecasting seismic activity using machine learning algorithms
…model and increase its accuracy. This study demonstrates the promise of machine learning methods in seismological forecasting tasks and can serve as a basis for creating more accurate earthquake early warning systems.
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Artikel Jurnal
Machine learning techniques for breast cancer diagnosis
In the last few years, machine learning techniques have been attracting even greater attention in the field of diagnostics, particularly when detecting breast cancer. Relevant studies dedicated to machine learning techniques in breast cancer diagnosis were analyzed in three areas: solving secondary…
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Machine Learning Approach for Arabic Handwritten Recognition
…existing models used to acknowledge Arabic text are based on traditional machine learning techniques. Therefore, we implemented a new model using deep machine learning techniques by integrating two deep neural networks. In the new model, the architecture of the Residual Network (ResNet) model is…
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Quantifying Unknown Multiqubit Entanglement Using Machine Learning
…data produced by locally measuring target quantum states. By leveraging machine learning techniques to handle non-linear relations between outcome statistics and entanglement measurement SE, we achieve high-precision quantification of unknown multipartite entanglement states with a linear number of…
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Artikel Jurnal
The landscape of unfolding with machine learning
Recent innovations from machine learning allow for data unfolding, without binning and including correlations across many dimensions. We describe a set of known, upgraded, and new methods for ML-based unfolding. The performance of these approaches are evaluated on the same two datasets. We find…
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Artikel Jurnal Teks lengkap
Implications of Machine Learning in Renewable Energy
Artificial neural networks (ANN) are preferred over some other machine learning (ML) techniques due to their extension potential. The requirement for using ML approaches in the renewable energy market is expected to rise significantly in the upcoming decades due to the huge market for graduate…
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Artikel Jurnal Teks lengkap
Forecasting Traffic Flow Using Machine Learning Algorithms
…traffic flow management. The research examines and analyzes various machine learning methods, such as decision trees, random forests, and gradient boosting, for predicting traffic intensity. The data for the models was collected using video cameras installed at the intersection which provided…
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Artikel Jurnal
A MACHINE LEARNING DISTRACTED DRIVING PREDICTION MODEL
…In this study, we use a Bayesian Network classifier as a robust machine learning algorithm on our trained data (80%) and tested (20%) with the data collected from a driving simulator, in which the 92 participants drove six scenarios of handheld calling, hands-free calling, texting, voice command…
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Artikel Jurnal
Capacitance Classification for Supercapacitors Using Machine Learning
…to store energy and rapid charging and discharging. In this study, machine learning techniques were used for analyzing specific capacitance data of supercapacitors and developing a classification technique that helps to improve the efficiency of systems that rely on supercapacitors. Kernel Naïve…
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Artikel Jurnal
Machine learning-based myocardial infarction bibliometric analysis
PurposeThis study analyzed the research trends in machine learning (ML) pertaining to myocardial infarction (MI) from 2008 to 2024, aiming to identify emerging trends and hotspots in the field, providing insights into the future directions of research and development in ML for MI. Additionally, it…
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Artikel Jurnal
Enhancing Sports Team Management Through Machine Learning
Sports like basketball and baseball have seen significant improvements through the effective use of sports analytics. However, research on machine learning in football has primarily focused on prediction. There is a need to explore whether machine learning can contribute to generating more in-depth…
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Weather type reconstruction using machine learning approaches
…suffer from methodological limitations. In our study, we assess various machine learning approaches for station-based weather type reconstruction over Europe based on the nine-class cluster analysis of principal components (CAP9) weather type classification. With a common feedforward neural network…
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Artikel Jurnal
Sense of Place Analysis Using Machine Learning:
…for SNS postings about the region, which were then analyzed using machine learning to evaluate the feelings of residents and tourists toward the region. A transformer-based Luke model was used to analyze the emotions. Eight basic emotions, including joy, expectation, and surprise, were identified…
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Artikel Jurnal Teks lengkap
Quantifying Quantum Coherence Using Machine Learning Methods
…as the dimensionality of the space increases. In this study, we employ machine learning techniques to quantify quantum coherence, focusing on the robustness of coherence. By leveraging artificial neural networks, we developed and trained models for systems with different dimensionalities. Testing…
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