653 hasil untuk machine learning
Menampilkan 21–40 · 0,82 detik · RSS
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Artikel Jurnal
Diagnosis of Leukemia Type by Machine Learning: Dimension Reduction and Balancing
…and non-parametric methods and to increase the generalization of learning by extracting fewer essential features. Methods: This descriptive and analytical study used Leukemia1 dataset from the Vanderbilt University of USA. This dataset contains a set of bone marrow and blood samples of patients…
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Online Job Shop Scheduling and Dynamic Predictive Maintenance by Machine Learning
Purpose: This paper proposes several innovative approaches to model evaluation after obtaining the reinforcement learning model of scheduling with predictive maintenance. To train this model, its reward and loss function must be determined according to the conditions of the workshop environment…
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Wheat Production Simulation Using Sentinel 2 Images and Machine Learning Techniques
…0.8. Overall, this research highlights the importance and potential of machine learning techniques for timely crop production prediction as a strong foundation for regional food security.
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Artificial Intelligence, COVID-19, Infectious Diseases, Internet of Things, Machine Learning
…an intelligent system is presented by combining mathematical dimensions, machine learning, and epidemiology. In this research, the target disease is COVID-19 due to its importance and epidemic. Despite extensive research on this disease, each study focused on a specific area due to its extensive…
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Hypertension Prediction in Primary School Students Using an Ensemble Machine Learning Method
…of hypertension can prevent its progress and reduce its consequences. Machine learning methods can help predict this complication promptly and reduce cost and time. This study aimed to provide a model based on ensemble machine learning methods to more accurately predict the hypertension of primary…
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Artikel Jurnal
Evaluation of Most Visited News Websites in Iran based on Machine learning
…so, these numerical ranking from TOPSIS method used as output in machine learing method for seprating websites from excellent to very poor in six categories as lables for training dataset in classification, instead of using manual lables achieved from experts and users’ opinion. For this…
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Dynamic Modeling of Water Level Changes Using Image Processing and Machine Learning
…This research presents a new approach of combining image processing and machine learning in an attempt to reduce costs and increase performance to extract water level indicators and measure the water level instantly and automatically. This approach is based on creating a set of gauge images…
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Prediction of deterioration components in reinforcement concrete columns using machine learning techniques
…loads, including the deterioration components. This paper proposes using machine learning models to predict the deterioration components of reinforced concrete (RC) columns. A dataset of 255 experimental data from 1973 to 2002 is used to predict the deterioration components using different machine…
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Prediction of Postpartum Depression based on Multiple Variables Using Machine Learning Algorithm
…analytical methods. However, multidimensional prediction using machine learning algorithms has received less attention. Aims: The aim of this study was to predict postpartum depression based on multiple psychological, demographic, lifestyle, obstetric, and gynecological variables using a machine…
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Perspective of artificial intelligence (AI) and machine learning (ML) in fisheries science
…satellite image processing, smart sensor networks (WSN), and deep learning algorithms has created a new paradigm in sustainable marine resource management (Lu et al., 2024). Global fisheries face significant challenges, as FAO reports indicate 94% of aquatic resources are in two distinct states…
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Human Resource Management Intelligence Pattern Based on Data Science and Machine Learning
In recent years, the application of artificial intelligence, especially machine learning, has grown significantly in the field of HRM, which is unknown to many managers and experts in the field of HR due to the newness of this field. A lot of data is being generated by users of organization in HRM…
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Artificial intelligence (machine learning) in the psychology of learning: Unveiling new insights and directions
Background: The intersection of artificial intelligence (AI), psychology and applied linguistics particularly in the realm of language learning, has opened up a fascinating avenue for exploring the intricate processes and mechanisms underlying human cognition. Machine learning algorithms have the…
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Predicting and Mapping Soil Organic Carbon Using Remote Sensing and Machine Learning Algorithms
…and erosion. Data mining approaches and spatial modeling besides machine learning techniques to investigate the amount of soil organic carbon using remote sensing data have been widely considered. The objective of the present study was the evaluation of SOC using the remote sensing technique…
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Investigating water quality in wetlands using multivariate statistical analysis and machine learning models
…relationships between variables (as confirmed by KMO and Bartlett tests). Machine learning models including Random Forest and XGBoost with the ability to analyze nonlinear relationships and resist collinearity, SVM with sensitivity to feature scaling and the need for separable space, and regression…
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Flood Susceptibility Mapping Using Random Forest Machine Learning and Generalized Bayesian Linear Model
…of random forest (RF) and Bayesian generalized linear model (GLMbayesian) machine learning in the Tajan watershed in Mazandaran province, Sari. Past flood distribution maps were prepared to predict future floods. Of the 263 flood locations, 80% (210 flood locations) was used for modeling and 20%…
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From Data to Treatment: Early Detection of Heart Disease Using Machine Learning Techniques
…study aimed to enhance the accuracy of heart disease prediction using machine learning techniques. Materials & Methods: This research assessed the detection rate and accuracy of cardiovascular disease prediction using machine learning algorithms, including logistic regression, the C5.0 decision…
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Application of Machine Learning in Detection and Prevention of Money Laundering with Cryptocurrencies
…attractive tools for illicit activities, including money laundering. Machine learning, as an advanced technological approach, offers promising capabilities for detecting suspicious patterns and preventing money laundering within decentralized financial systems. However, the efficacy of this…
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Predicting the delisted companies of Tehran Stock Exchange using machine learning based algorithms
Purpose: Delisted companies, despite their importance in the economic and social issues of society, is less considered in the financial literature. This issue is important because for each country, one of the criteria for economic measurement is the size of the capital market. Therefore, the…
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Explaining the Earnings Management Prediction Model Using the Hybrid of Machine Learning Methods
…management and real earnings management through performance evaluation of machine learning methods including decision tree, support vector machine, k-nearest neighbor, deep learning, and combining them with feature selection methods based on relief and principal component analysis. To achieve this…
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Integrated Modeling of Soil Erosion by Water and Wind Using Machine Learning Methods
…consequences. Therefore, the goal of this research is application of two machine learning models for the spatial modelling of water and wind erosion in the Bakhtegan basin, Fars province.Materials and methodsIn order to generate the spatial maps of soil erosion by water and wind, we have used 20…