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Large Strain Extrusion Machining of 7075 Aluminum Alloy with Micro-Textured Tools and Analysis of Chip Morphology and Microstructure. [PDF]
Micromachines (Basel)Yin X, Yang M, Wang W, Li Y, Li Y.
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Research Progress of Electrochemical Machining Technology in Surface Processing: A Review. [PDF]
Micromachines (Basel)Wang Y +7 more
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Flow-Line Evolution, Defect Formation, and Structure-Property Relationships in Aluminum Alloy Forging: A Review. [PDF]
Materials (Basel)Wang H, Quan G, Pan C, Dong X, Zhou J.
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XGBoost-Based Digital Twin Model for Predicting Trajectory Errors in a Hexapod Coordinated Machining System Using Positioning Accuracy and Vibration Data. [PDF]
Sensors (Basel)Xing K +5 more
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Open Blink: Low-cost TIRF microscopy for super-resolution imaging via µ Manager
Huo R +5 more
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Local Rademacher Complexity Machine
Neurocomputing, 2019Abstract Support Vector Machines (SVMs) are a state-of-the-art and powerful learning algorithm that can effectively solve many real world problems. SVMs are the transposition of the Vapnik–Chervonenkis (VC) theory into a learning algorithm. In this paper, we present the Local Rademacher Complexity Machine (LRCM), a transposition of the Local ...
Oneto L., Ridella S., Anguita D.
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Machine Learning for Wideband Localization
IEEE Journal on Selected Areas in Communications, 2015Wireless localization has a great importance in a variety of areas including commercial, service, and military positioning and tracking systems. In harsh indoor environments, it is hard to localize an agent with high accuracy due to non-line-of-sight (NLOS) radio blockage or insufficient information from anchors.
Thang Van Nguyen +3 more
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