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This document summarizes a research paper that proposes using a Bat Algorithm (BA) and Artificial Neural Network (ANN) approach to develop a GSM signal booster for the 900 and 1800 MHz bands. The goal is to address the problem of weak signal reception, which can limit network coverage especially in rural areas. The proposed signal booster design uses BA to select optimal components and ANN to predict the performance of the selected components. Results showed the developed booster achieved a maximum boost of

Author

ahmed

Language

EN