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1361
Network Intrusion Detection Using Knapsack Optimization, Mutual Information Gain, and Machine Learning
Published 2024-01-01Get full text
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1362
Precision-enhanced deburring using machining force feedback control for various casting materials
Published 2025-02-01Get full text
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1363
Prediction of Equipment Failure Rates in Power Distribution Networks based on Machine-learning Method
Published 2023-09-01Get full text
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1364
Geometric and harmonic means based priority dispatching rules for single machine scheduling problems
Published 2021-07-01Get full text
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1365
Optimizing Smart Manufacturing Processes and Human Resource Management through Machine Learning Algorithms
Published 2025-06-01Get full text
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1366
Total Productive Maintenance Analysis of The Oven Machine Using Overall Equipment Effectiveness Method
Published 2022-07-01Get full text
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1367
Optimal design of frame structures equipped with viscous dampers using machine learning techniques
Published 2025-03-01Get full text
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1368
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1369
AI-Based Classification of Pediatric Breath Sounds: Toward a Tool for Early Respiratory Screening
Published 2025-06-01Get full text
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1370
Performance Optimization of Multi-Roller Flat Burnishing Process in Terms of Surface Properties
Published 2023-03-01Get full text
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1371
BASA: An improved hybrid bees algorithm for the single machine scheduling with early/tardy jobs
Published 2023-07-01Get full text
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1372
Data-driven network intrusion detection using optimized machine learning algorithms
Published 2025-09-01Get full text
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1373
Design and analysis of antenna through machine learning for next-generation IoT system
Published 2025-04-01Get full text
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1374
Study on Support Vector Machine-Based Fault Detection in Tennessee Eastman Process
Published 2014-01-01Get full text
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1375
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1376
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1377
Advanced Machine Learning Methodology for Earthquake Magnitude Forecasting Using Comprehensive Seismic Data
Published 2026-01-01Get full text
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1378
Predicting land suitability for wheat and barley crops using machine learning techniques
Published 2025-05-01“…In this study, land suitability has been predicted for the two widely grown cereal crops in Ethiopia—wheat and barley—using machine learning techniques. The dataset was obtained from the Engineering Corporation of Oromia (ECO). …”
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1379
Degradation-aware neural imputation: Advancing decoding stability in brain machine interfaces
Published 2025-06-01Get full text
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1380
Utilizing machine vision and artificial neural networks for dried grape sorting during production
Published 2025-01-01Get full text
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