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Augmented continuous wavelet transform features for deep learning-based indoor localization using WiFi RSSI Data
(Makerere University, 2021-08)
Localization in indoor environments is currently one of the challenges in navigation research. The conventional global positioning system (GPS) is affected by weak signal strengths due to high levels of signal interference ...
Modeling connectivity for vehicular adhoc networks under high traffic density with interference
(Makerere University, 2020-12)
Previous studies of connectivity in Vehicular Ad hoc Networks (VANETs) were done with slight traffic interference in low traffic road scenarios. These studies were done under the assumption that the interference were ...