TY  - JOUR
AU  - Novak, Diego
AU  - Sharma, Fatima
TI  - Principal Component Analysis for RF Energy Harvesting
JO  - Open Access Journal of Engineering Applications
PY  - 2024
VL  - 48
IS  - 2
SP  - 616
EP  - 647
AB  - Accurate prediction of RF energy harvesting is essential for the design, operation, and maintenance of ready-made garment factories. The framework was implemented and its predictions benchmarked using scanning electron microscopy. The technique detected faults 5 times faster than the conventional method. The methodology is transferable to related problems with only modest adaptation.
KW  - RF energy harvesting
KW  - scanning electron microscopy
KW  - finite element analysis
KW  - convolutional neural networks
SN  - 3105-7004
DO  - 10.55555/oajea.2024.4802.032
UR  - https://journal.bsaps.com/article/10149
ER  -