Iddrisu, Mohammed Muniru, Zakaria Abukari, Edward Yellakuor Baagyere, Baagyere, Edward Yellakuor, Mohammed Muniru Iddrisu & Abukari, Zakaria·Asian Journal of Research in Computer Science·2022
The Internet of Things’ (IoT) market is expected to grow exponentially at the global level in the coming years, due to the proliferation of more reliable and faster networks resulting from the extensive rollout of 5 to 10 G mobile networks. By 2025, it is expected that worldwide...
Open access
Research Article10.9734/ajrcos/2022/v14i4307
Moses Apambila Agebure, Baagyere, Edward Yellakuor, Edward Yellakuor Baagyere, Agebure, Moses Apambila, Oyetunji, Elkanah Olaosebikan & Elkanah Olaosebikan Oyetunji·Asian Journal of Research in Computer Science·2020
Supervised learning in Spiking Neural Network (SNN) is a hotbed for researchers due to the advantages temporal coded networks provide over that of rate-coded networks with respect to efficiency in information processing and transfer rates. Supervised learning in rate-coded networ...
Open access
Research Article10.9734/ajrcos/2020/v6i430163
The possibility of errors being propagated during the encoding process of cryptographic and steganographic schemes is real due to the introduction of noise by ciphering the data from stage to stage. This real possibility therefore requires that an efficient scheme is proposed suc...
Open access
Research Article10.9734/ajrcos/2019/v4i430123
Wumnaya, Paula Aninyie, Moses Apambila Agebure, Baagyere, Edward Yellakuor, Paula Aninyie Wumnaya, Agebure, Moses Apambila & Edward Yellakuor Baagyere·Asian Journal of Research in Computer Science·2021
There has been a significant attempt to derive supervised learning models for training Spiking Neural Networks (SNN), which is the third and most recent generation of Artificial Neural Network (ANN). Supervised SNN learning models are considered more biologically plausible and th...
Open access
Research Article10.9734/ajrcos/2021/v9i430228