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  1. 201
    A hybrid classifier based on support vector machine and Jaya algorithm for breast cancer classification
    “… the breast cancer analysis. For early breast cancer detection, numerous techniques of machine learning…”
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    Article
  2. 202
    Machine learning analysis of wing venation patterns accurately identifies Sarcophagidae, Calliphoridae and Muscidae fly species
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    Article
  3. 203
    Machine learning with task-technology fit theory factors for predicting students’ adoption in video-based learning
    “…, this study aims to examine the potential of using machine learning prediction models on video-based learning…”
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    Article
  4. 204
    Multi-class Classification for Breast Cancer with High Dimensional Microarray Data Using Machine Learning Classifier
    “… of support vector machine, multinomial logistic regression, Naïve Bayes, and random forest were evaluated…”
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    Book chapter
  5. 205
    Comparison of One-Stage and Two-Stage Strategies of Machine Learning Model for Rock Art Object Detection
    “… specialists, which can be laborious and expensive. Integrating Artificial Intelligence (AI) and Machine…”
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    Conference paper
  6. 206
    The Determinant Factors for the Issuance of Central Bank Digital Currency (CBDC) in Malaysia using Machine Learning Framework
    “… (CBDC) in Malaysia, this study leverages the machine-learning technique to determine the most critical…”
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    Article
  7. 207
    Assessing Coastal Flood Susceptibility in East Java, Indonesia: Comparison of Statistical Bivariate and Machine Learning Techniques
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    Article
  8. 208
    Automated image identification, detection and fruit counting of top-view pineapple crown using machine learning
    “… the detected images using machine learning classifiers namely artificial neural network (ANN), support vector…”
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    Article
  9. 209
    Multi-objectives optimization model for flexible job shop scheduling problem (FJSSP) with machines' workload balancing
    “… operation of any job is allowed to be processed by any machine from a set of machines, rather than one…”
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    Conference paper
  10. 210
    Multi-class support vector machine for human posture classification using a simplified shock graph
    “… of the SSG with three different multi-class Support Vector Machines (SVM) classifier models. In this study…”
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    Conference paper
  11. 211
    Post Pandemic Tourism: Sentiment Analysis using Support Vector Machine Based on TikTok Data
    “… using the Support Vector Machine (SVM) algorithm to know their views on the tourist spots after…”
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    Article
  12. 212
    Hypertension Prediction in Adolescents Using Anthropometric Measurements: Do Machine Learning Models Perform Equally Well?
    “…The use of anthropometric measurements in machine learning algorithms for hypertension prediction…”
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    Article
  13. 213
    Orthogonal least square and optimized support vector machine with polynomial kernel for classifying asphyxiated infant cry
    “… based support vector machine with polynomial kernel. Optimization of input feature set and filter bank…”
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    Conference paper
  14. 214
    Power Transformer Classification through Dissolved Gas Analysis Utilizing Least-Square Support Vector Machine
    “…- This article proposes the utilization of the Least-Square Support Vector Machine (LS-SVM…”
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    Article
  15. 215
    Urban building detection using object-based image analysis (OBIA) and machine learning (ML) algorithms
    “… and compactness) and features selection for building detection have been determined. Machine learning (ML…”
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    Conference paper
  16. 216
    Ensemble machine learning for predicting in-hospital mortality in Asian women with ST-elevation myocardial infarction (STEMI)
    “… and ensemble machine learning (ML) models. We centred on the development of demographic-specific models using…”
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    Article
  17. 217
    Predicting dengue transmission rates by comparing different machine learning models with vector indices and meteorological data
    “…Machine learning algorithms (ML) are receiving a lot of attention in the development of predictive…”
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    Article
  18. 218
    Optimized Feature Selection and Transformations for Early Stage Prediction of Autism Using Supervised Machine Learning Models
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    Article
  19. 219
    Predicting Motivation among GKP Recipients using Regression Techniques in Machine Learning: An Implementation of Rapid Miner
    “… of predictive models by using machine learning approaches specifically involving SMEs. Small business…”
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    Article
  20. 220
    Support vector machine with theta-beta band power features generated from writing of dyslexic children
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    Article
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