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  1. 121
    Multi-Objectives Optimization of Abrasive Water Jet Machining (AJWM) on Mild Steel
    “…Abrasive waterjet machining (AWJM) is an advanced machining technology that is commonly used…”
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    Article
  2. 122
    Classification of SEMG Signal Based Hand Movements by Using Support Vector Machine
    “… classification using machine learning techniques. SEMG signals play a crucial role in sports medicine…”
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    Conference paper
  3. 123
    A Recent Systematic Review of Ransomware Attack detection in machine learning techniques
    “… these threats. Machine learning techniques have gained prominence in detecting ransomware attacks due…”
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    Conference paper
  4. 124
    Groundwater level prediction using machine learning models: A comprehensive review
    “… has been made in GWL prediction using machine learning (ML) models. Several review articles have been…”
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    Short survey
  5. 125
    Machine Learning Approach of Optimal Frequency Tuning for Capacitive Wireless Power Transfer System
    “… potential. Recent advances in machine learning have been shown to be the most promising approach that offers…”
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    Article
  6. 126
    Classification of hand gestures from forearm electromyogram signatures from support vector machine
    “… signal has been successfully developed using support vector machine with overall accuracy of 97.4…”
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    Article
  7. 127
    The Influence of Cutting Parameter under Sustainable Machining Approaches on Surface Roughness of AISI 4340
    “… machining techniques of minimum quantity lubrication (MQL) and cryogenic using liquid nitrogen (LN2). Along…”
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    Article
  8. 128
    Daily River Flow Forecasting with Hybrid Support Vector Machine - Particle Swarm Optimization
    “… of support vector machine (SVM) based model and its hybridization with particle swarm optimization (PSO…”
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    Conference paper
  9. 129
    Enhancing WEDM Efficiency by Teaching–Learning-Based Optimization for Machining Process Parameter Optimization
    “…Modern machining techniques like wire electrical discharge machining (WEDM) enable the cutting…”
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    Conference paper
  10. 130
    Assessing rainfall prediction models: Exploring the advantages of machine learning and remote sensing approaches
    “…. Statistical models and machine learning algorithms automatically learn and improve based on data. Deep…”
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    Review
  11. 131
    Machine learning in predicting whistle-blowing intention of academic dishonesty with theory of planned behaviour
    “… of the whistle-blowing attributes was observed in prediction models based on machine learning technique…”
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    Article
  12. 132
    Predicting Kereh River's Water Quality: A comparative study of machine learning models
    “…This study introduces a machine learning-based approach to forecast the water quality of the Kereh…”
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    Proceedings Paper
  13. 133
    Predicting Kereh River's Water Quality: A comparative study of machine learning models
    “…This study introduces a machine learning-based approach to forecast the water quality of the Kereh…”
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    Proceedings Paper
  14. 134
    An evaluation of nature-inspired optimization algorithms and machine learning classifiers for electricity fraud prediction
    “…) were used to adaptively balance the distribution and then four supervised machine learning classifiers…”
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    Article
  15. 135
    Chronic Kidney Disease Prediction based on Data Mining Method and Support Vector Machine
    “… and prevention. A Support Vector Machine (SVM) serves as the foundation for the prediction system developed…”
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    Conference paper
  16. 136
    The Grading of Agarwood Oil Quality Based on Multiclass Support Vector Machine (MSVM) Model
    “… of classification algorithm which is Support Vector Machine algorithm has been chosen and multiclass classifier…”
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    Conference paper
  17. 137
    Classification of Brain Tumors on MRI Images Using DenseNet and Support Vector Machine
    “… learning model called DenseNet 201 paired with Support Vector Machines (SVM) was employed in this work…”
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    Article
  18. 138
    House price prediction using a machine learning model: A survey of literature
    “… the most significant attributes in determining house price and in order to acknowledge the best machine…”
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    Article
  19. 139
    Development of virtual machine for Programmable Logic Controller (PLC) by using STEPS™ programming method
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    Conference paper
  20. 140
    Comparison of ensemble hybrid sampling with bagging and boosting machine learning approach for imbalanced data
    “… of the classifier’s performance. This paper utilized decision tree (DT), support vector machine (SVM), artificial…”
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    Article
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