Search Results - Chong Peng
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A novel integrated TDLAVOA-XGBoost model for tool wear prediction in lathe and milling operations
Published 2025-09-01Get full textTool wear in machining operations compromises tool lifespan and performance. Machine learning models, particularly eXtreme Gradient Boosting (XGBoost), demonstrate pattern recognition capabilities for such predictions. However, their effectiveness is highly dependent on hyperparameters, and empirica...
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KAN-Based Tool Wear Modeling with Adaptive Complexity and Symbolic Interpretability in CNC Turning Processes
Published 2025-07-01Get full textTool wear modeling in CNC turning processes is critical for proactive maintenance and process optimization in intelligent manufacturing. However, traditional physics-based models lack adaptability, while machine learning approaches are often limited by poor interpretability. This study develops Kolm...
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Ectopic adrenocortical adenoma in liver disguising as hepatocellular carcinoma: A case report and literature review
Published 2025-09-01Get full textDue to the anatomical proximity between the right adrenal gland and the liver, hepatic ectopic adrenocortical adenomas (HEAA) are frequently misdiagnosed as hepatocellular carcinoma (HCC), primarily because of their similar imaging characteristics. In this report, we present a case of HEAA that was...
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