71 results for machine learning
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Journal Article
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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Journal Article
Support system for road price formulation using machine learning
…study, large-scale data, such as public and private sector data, with machine learning, are utilized to construct a road price estimation system under an industry?government?academia collaboration. An ensemble model utilizing a machine-learning algorithm was applied, i.e., the gradient boosting…
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An automation system for vehicle driveability evaluation using machine learning
…screening and exploration system by introducing Bayesian active learning (BAL). The proposed system is composed of two key elements such as automated evaluation sub-system and screening and exploring sub-system. In the automated evaluation sub-system, driver model is used to mimic various operation…
From your institution’s collections
- Machine learning dan computational intelligenceWidodo Budiharto · 2016 · UNILAK
- Machine learning (konsep dan implementasi)Yaya Heryadi · 2020 · UNILAK
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Journal Article
Vehicles and people recognition using laser scanner based on machine learning
…points, and distribution of the reflection intensities. The machine learning methods (support vector machine (SVM) and random forests (RF)) are applied to classify cars, bicyclists, and people from these features. The experimental results using “The Stanford Track Collection” data set show that the…
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Journal Article
Improving prediction accuracy of ignition model by weighting using machine learning
…accuracy and light computational load. In this study, we developed a machine learning method to enhance the prediction accuracy of an existing empirical model of ignition delay period. The method has multiple existing empirical models, each with different model parameter values, and a neural…
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Journal Article
Proposal of data mining process for tool catalog data introducing machine learning
We attempt to construct a novel technology development utilizing big data such as Deep Learning in the manufacturing industry. Especially, we look at the data mining method and the tool catalog as a useful big data base which is updated by tool makers because it is easy for CAD/CAM engineers and…
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Journal Article
Modeling of job sequencing rule on shop-floor by machine learning techniques
…model operational control rules from historical production data using machine learning techniques. These methods are evaluated based on accuracy and robustness against uncertainty in human decision making using computational experiments and actual factory data.
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Journal Article
Study on the condition monitoring system for the sliding surface using machine learning
Machine equipment usually comprises many mechanical elements that can fail because of functional deterioration and friction. For tribo-elements like plane bearings, it is extremely important to diagnose the abnormal conditions and prevent such parts from breakdown caused by wear. However…
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Journal Article
A study on automatic adjustment of the HCCI engine controller using machine learning
…learned and predicted by ReOS-ELM (Regularized Online Sequential Extreme Learning Machine), which is a method of online machine learning with low computational load. The modeling error learning was conducted every engine cycle. The feedback input was adjusted so that the output prediction by the…
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Journal Article
Development of an integrated optimization method for shape generation and material selection using machine learning
…with shape variation. The optimization calculation is substituted for a machine learning surrogate model to estimate stress in order to keep computational cost low.
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Journal Article
Parallel fluid analysis via machine-learning-based photogrammetry and a Nitsche-type immersed boundary method
…limitation, we leverage recent advances in photogrammetry, particularly machine-learning-based photogrammetry that reconstructs smooth 3D geometry directly from images. Despite growing interest in integrating photogrammetry with numerical analysis, applications of photogrammetry to fluid simulation…
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Journal Article
Automatic creation method of extraction condition of sensor data for anomaly detection based on machine learning
…high performance for anomaly detection, it is important to extract a machine steady state in the learning phase and the anomaly detection phase. This creation method can generate extraction condition candidates automatically using the observed frequency and expected frequency of machine sensor…
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Journal Article
Development of a method for deriving vehicle shapes and flow fields for low aerodynamic drag using machine learning
…aided engineering). In the increasingly rapid development of vehicles, machine learning is taking the lead. Vehicle performance prediction usually involves constructing surrogate models using design parameters and CAE results. However, three-dimensionally complex vehicle shapes cannot be fully…
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Journal Article
First-principles based data-driven strain engineering for ferroelectrics via active machine learning: A nonlinear piezoelectric constitutive equation
…exploration of physical properties in the vast strain space based on machine learning (i.e., artificial neural networks), active learning, and high-throughput first-principles calculation. We demonstrated the active learning technique to successfully and efficiently construct an accurate machine…
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Journal Article
Machine learning surrogate model for finite element analysis of railway vehicles using principal component analysis and multilayer perceptron
…improve the efficiency and speed of analysis. In this paper, we propose a machine-learning-based surrogate model to replace finite element analysis in railway vehicle design. To address the complexity resulting from the vast number of nodal values, this model utilizes dimensionality reduction…
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Journal Article
Research on upstream design support using machine learning (Extraction of pleasant factors from engine and electric motorcycle driving data)
The purpose of this study is to investigate a machine learning method to support upstream of design process by taking a motorcycle design targeting riding comfort as an example. In our previous report, a machine learning decision tree model was trained using temporal factors with the riders’…
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Journal Article
Cooperative running of small robots using character recognition and a robot distance estimation model based on image machine learning
…model capable of real-time object detection based on the lightweight machine learning algorithm FOMO (Faster Objects, More Objects). We implement this model on a small mobile robot and propose a multi-robot tracking control method using character recognition based on image learning. Verification…
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Journal Article
Abnormality detection of sliding surface and exploration suitable sensor data for condition monitoring by calculating contribution using machine learning
…we investigated a method to reduce the opacity of anomaly detection using machine learning and explored sensor data useful for condition monitoring of the sliding surface. The usefulness of SHAP (SHapley Additive exPlanations), one of the explanatory methods of machine learning, was verified by…
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Journal Article
Estimation of 2D pressure and cavitation fields from sparse pseudo-pressure sensor point data using super-resolution machine learning
The two-dimensional pressure field around a hydrofoil is estimated from the pressure values of sparse sensors flush-mounted on the hydrofoil. The sparse data is expanded to pressure field data using a combination of multi-layer perceptron (MLP) and super-resolution convolutional neural network…
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Journal Article
Extraction and evaluation of cell nuclei images in label-free phase contrast microscopy enabled by machine learning using a data analysis platform Usiigaci
Recently, machine learning has been applied as a powerful tool for determining cell functions and states from cell shape features in microscopic images. However, it has not been fully investigated how changes in the microscopic observation environments and differences in cell types affect the…