204.674 hasil untuk machine learning
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Artikel Jurnal
Detecting Turkish Cyberbullying Tweets Using Machine Learning
…in Turkish tweets. The proposed model incorporates the Support Vector Machine and Random Forest classification algorithms. The model has been trained on labeled real-world data sourced from Twitter. To address the characteristics of the Turkish language, a natural language processing tool called…
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Artikel Jurnal
Enhancing Solar Radiation Forecasting with Machine Learning
…data preparation process and an on-site predictive model using machine learning (ML). After considering all potential weather variables, our analysis focused on solar radiation intensities exceeding 400 W/m2 during the Northern Hemisphere’s transition periods (March and October). The study used…
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Heart Disease Prediction System Employing Machine Learning
…Standard Process for Data Mining (CRISP-DM) framework by employing machine learning algorithms. In this work, Logistic Regression (LR) and Random Forest (RF) are utilized as our machine learning algorithms for classifying heart disease using a heart disease dataset from Kaggle. Our results show LR…
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Artikel Jurnal
Software Evolution Prediction Using Machine Learning Algorithms
…demonstrate the dynamics of software development. Software evolution in machine learning (ML) techniques comprises the unending adaptation of models, data, and pipelines to continue performance under changing domains. In this paper, we are predicting the software evolution by analyzing features…
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Artikel Jurnal
Does Machine Learning Matter for Psychological Assessment?
Abstract: The recent development of machine learning and large language models has led to a wealth of research opportunities in the field of psychological assessment. The special collection on ”Advancing Psychological Assessments With Machine Learning and Artificial Intelligence” provides a…
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Artikel Jurnal Teks lengkap
Machine Learning Based Classification of IoT Traffic
…generated daily, detecting anomalous behavior can be demanding. However, machine learning (ML) algorithms have proven successful in extracting complex patterns from big data, which has led to active applications in IoT. In this paper, we perform a comprehensive analysis, including 4 ML algorithms…
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KEYSTROKE DYNAMICS ANALYSIS USING MACHINE LEARNING METHODS
The primary objective of the paper was to determine the user based on its keystroke dynamics using the methods of machine learning. Such kind of a problem can be formulated as a classification task. To solve this task, four methods of supervised machine learning were employed, namely, logistic…
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Artikel Jurnal Teks lengkap
Breast cancer detection using machine learning algorithms
…tumors turn into malignant or benign and we can do this with the help of machine learning techniques as they provide an appropriate result. According to research, an experienced physician can diagnose cancer with 79% accuracy while using machine learning techniques provides an accuracy of 91%. In…
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Artikel Jurnal
Predicting unsafe road sections using machine learning
This paper presents an ML methodology to predict hazardous road segments, using the weighted accident index (Wi). The analysis covers 161 road segments in North Macedonia (~1,300 km)—with 23+1 variables categorized into Road, Traffic, Environmental, and Accident data. Feature influence is evaluated…
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Artikel Jurnal
Investigating malware detection methods using machine learning
This paper examines methods for detecting malicious applications and software for the Android operating system using machine learning. Provides an analysis of a dataset containing binary features, such as permissions and API method calls that classify applications as malicious or safe. Various…
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Artikel Jurnal Teks lengkap
MLHeartDisPrediction: Heart Disease Prediction using Machine Learning
…are varied, making its prediction very complex. Our objective is to use Machine Learning to enhance the dependability and simplicity of the prediction of Heart Disease. It was concluded that three datasets should be used; two have an immense size, alongside many Machine Learning algorithms. The…
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Artikel Jurnal Teks lengkap
FER_ML: Facial Emotion Recognition using Machine Learning
…for example, it has been used in security on most modern devices. Using machine and deep learning, overall performance will be improved, and the identification accuracy will be more precise. We aim to discover how well these algorithms perform in classifying human facial expressions and whether or…
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Artikel Jurnal Teks lengkap
Nowcasting Egypt GDP Using machine learning Algorithms
This paper aims to determine the most accurate algorithm for predicting the Egyptian gross domestic product (GDP) and not only and also to determine the relative weight of the effect of the components of the output on it to assist decision-makers in making good economic policies. It turned out that…
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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 Teks lengkap
Utilizing Machine Learning for Heart Disease Prediction
Over the past few year, the world has witnessed a significantly increase during heart disease prevalence, which threatens the safety of people's lives, and it has become one of the most common diseases today. Consequently, finding the most effective method for early disease prediction is essential…
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Artikel Jurnal
Cattle Pinkeye Disease Classification Using Machine Learning
…large losses. Previous studies tried to classify livestock diseases using machine learning, but there has been a lack of studies conducted on pinkeye disease classification. The proposed study aims to design a classification model to classify whether the infected cattle have pinkeye or not at an…
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Artikel Jurnal
Machine learning-mediated Passiflora caerulea callogenesis optimization.
…optimized protocol can be obtained by the application of a combination of machine learning (ML) and optimization algorithms. In the present investigation, the callogenesis responses (i.e., callogenesis rate and callus fresh weight) of P. caerulea were predicted based on different types and…
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Artikel Jurnal Teks lengkap
Machine Learning Impact on Modern Business Intelligence
The incorporation of machine learning (ML) approaches into business intelligence (BI) results in a great impact on fields that require predictive analysis, such as the real estate market. An accurate prediction of housing prices can provide benefits to stakeholders such as developers, investors…
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