Results 231 to 240 of about 5,830,632 (387)
Local-feature and global-dependency based tool wear prediction using deep learning. [PDF]
Yang C, Zhou J, Li E, Wang M, Jin T.
europepmc +1 more source
Surface modification using mussel‐derived polydopamine (PDA) is a versatile and robust biocompatible strategy that enables direct application to various epidermal surfaces, regardless of their morphological complexity or surface characteristics. The PDA‐coated epidermis exhibits multiple anti‐biofouling functionalities, including antibacterial and anti‐
Su Eon Lee+14 more
wiley +1 more source
Research on Tool Wear Monitoring Technology Based on Variational Mode Decomposition and Back Propagation Neural Network Model. [PDF]
Wang K, Wang A, Wu L.
europepmc +1 more source
Micro-Milling Tool Wear Monitoring via Nonlinear Cutting Force Model. [PDF]
Liu T, Wang Q, Wang W.
europepmc +1 more source
Tool wear and wear mechanism of carbide tool in cutting Al–Si alloy diecastings
Tatsuhiko Mochizuki+2 more
openaire +4 more sources
Multifunctional Biomedical Devices with Closed‐Loop Systems for Precision Therapy
This review explores two major types of closed‐loop therapeutic systems: self‐sustained and externally triggered. It highlights recent advances in stimuli‐responsive materials, integrated bioelectronics, and data‐driven control strategies, offering insight into emerging strategies for personalized, responsive drug delivery.
Yixuan Leng, Rujie Sun
wiley +1 more source
Intelligent tool wear prediction based on deep learning PSD-CVT model. [PDF]
Si S, Mu D, Si Z.
europepmc +1 more source
Machine Learning Approaches for Monitoring of Tool Wear during Grey Cast-Iron Turning. [PDF]
Tabaszewski M+5 more
europepmc +1 more source
On the Crater Wear of Carbide Cutting Tool in the Region of High Cutting Speed
Kunio UEHARA+3 more
openalex +2 more sources