HIGHLIGHTS
- who: Yudhi Adhitya and collaborators from the Department of Computer Science and Systems Engineering (CSSE), Graduate School of Computer Science and Systems Engineering, Kyushu Institute of Technology, Kawazu, Iizuka-shi, Fukuoka, Japan Department of Electronic and Computer Engineering(ECE), National Taiwan University of Science and have published the Article: IoT and Deep Learning-Based Farmer Safety System, in the Journal: Sensors 2023, 23, 2951. of /2023/
- what: As a result, the primary goal of this study was to evaluate extracted quaternion features for hierarchical temporal memory input for accurate activity prediction. Regardless, the analysis primarily . . .
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