This article provides a retrospective on one such case: the TRIPS project at the University of Texas at Austin. This project started with early funding by the National Science Foundation (NSF) of ...
Abstract: In this paper, we propose three modular multiplication algorithms that use only the IEEE 754 binary floating-point operations. Several previous studies have used floating-point operations to ...
Abstract: This study aims to improve the accuracy of coffee bean classification by utilizing Local Binary Pattern (LBP) extraction with Modular Neural Network (MNN). Coffee, one of Indonesia’s leading ...
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