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1321
Design and Experiment of the <i>Codonopsis pilosula</i> Outcrop Film-Laying and Transplanting Machine
Published 2025-05-01Get full text
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1322
Multi-criteria decision-making approach for evaluating the critical determinants of machine tool integrity
Published 2025-12-01Get full text
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1323
Voice pathology detection using machine learning algorithms based on different voice databases
Published 2025-03-01Get full text
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1324
Simplifying Field Traversing Efficiency Estimation Using Machine Learning and Geometric Field Indices
Published 2025-03-01Get full text
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1325
Predicting Pineapple Quality from Hyperspectral Data of Plant Parts Applied to Machine Learning
Published 2025-06-01Get full text
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1328
Impact of Rice Husk Ash Properties on Concrete Strength: Experimental and Machine Learning Study
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Predictive modeling of punchouts in continuously reinforced concrete pavement: a machine learning approach
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Industrial data-driven machine learning soft sensing for optimal operation of etching tools
Published 2024-12-01Get full text
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1333
Thermographic Data Processing and Feature Extraction Approaches for Machine Learning-Based Defect Detection
Published 2023-10-01Get full text
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1334
The Machine Learning-Based Task Automation Framework for Human Resource Management in MNC Companies
Published 2023-12-01Get full text
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1336
VGGBM-Net: A Novel Pixel-Based Transfer Features Engineering for Automated Coffee Bean Diseases Classification
Published 2025-01-01“…In this research, the proposed approach is trained using a dataset USK-Coffee of coffee beans to classify healthy and unhealthy beans. The performance of multiple machine learning classifiers, including Random Forest (RF), Logistic Regression (LoR), LightGBM (LGBM), and K-Nearest Neighbor Classifier (KNC), is evaluated alongside neural network techniques such as Convolutional Neural Networks (CNN) and VGG-19. …”
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Estimation of Soil Cohesion Using Machine Learning Method: A Random Forest Approach
Published 2021-01-01Get full text
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MACHINE LEARNING BASED STRATEGY FOR MITM ATTACK MITIGATION UTILIZING HYBRID FEATURE SELECTION
Published 2025-03-01Get full text
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