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Keywords: convolution neural network
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Journal Articles

Effect of Dispensing Type on Void Formation Using Convolutional Neural Network

Muhammad Taufik Azahari, Calvin Ling, Aizat Abas, Fei Chong Ng
Journal: Journal of Electronic Packaging
Publisher: ASME
Article Type: Research-Article
J. Electron. Packag. March 2025, 147(1): 011006.
Paper No: EP-23-1004
https://doi.org/10.1115/1.4065078
Published Online: August 9, 2024
.... An automated solution using convolutional neural network (CNN) is proposed for void detection in chip images to replace the conventional manual inspection approach. The CNN model built on MobileNetV2 attains a mean average precision of 0.533. This method calculates void percentage, adhering to Institute...
View Article titled, Effect of Dispensing Type on Void Formation Using <span class="search-highlight">Convolutional</span> <span class="search-highlight">Neural</span> <span class="search-highlight">Network</span>
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Topics: Convolutional neural networks, Epoxy adhesives, Epoxy resins, Flip-chip devices, Flip-chip, Flow (Dynamics), Image processing