Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Ferdinand Apietu Katsriku"'
Publikováno v:
Applied Computing and Informatics, Vol 19, Iss 3/4, Pp 209-225 (2023)
User trust in social networking sites (SNS) has become an important issue in SNS discussions. This is because of its impact on knowledge sharing, social commerce, social interaction, among many others. However, information systems researchers have pr
Externí odkaz:
https://doaj.org/article/8394266a70e64d6a8d183e47d6e7b211
Publikováno v:
Journal of Computer Networks and Communications, Vol 2022 (2022)
Wireless Sensor Networks (WSNS) have become an indispensable tool in this epoch of technological advancements, particularly for progress made in the Internet of things. Wireless sensor nodes are deployed to collect and transmit vital data from the en
Externí odkaz:
https://doaj.org/article/5784b401cf464791833ee01770680ab3
Publikováno v:
Journal of Computer Networks and Communications, Vol 2018 (2018)
Externí odkaz:
https://doaj.org/article/0046515dc118428bb77bb3b9ce41cdda
Publikováno v:
Journal of Computer Networks and Communications, Vol 2018 (2018)
Wi-Fi has been an amazingly successful technology. Its success may be attributed to the fact that, despite the significant advances made in technology over the last decade, it has remained backward compatible. 802.11ac is the latest version of the wi
Externí odkaz:
https://doaj.org/article/2cef6078ae354ec5b78b4b839dde2460
Publikováno v:
The Journal of the Acoustical Society of America. 149:2926-2935
This study proposes a sound classification model for natural disasters. Deep learning techniques, a convolutional neural network (CNN) and long short-term memory (LSTM), were used to train two individual classifiers. The study was conducted using a d
Autor:
Ferdinand Apietu Katsriku, Isaac Wiafe, Hervé Franklin, Jamal-Deen Abdulai, Akon O. Ekpezu, Frank Kataka Banaseka
Publikováno v:
Wireless Communications and Mobile Computing, Vol 2021 (2021)
In recent years, there has been keen interest in the area of Internet of Things connected underground, and with this is the need to fully understand and characterize their operating environment. In this paper, a model, based on the Peplinski principl
Publikováno v:
Wireless Sensor Networks-Design, Deployment and Applications ISBN: 9781838809096
Wireless Sensor Networks (WSNs) collect data and continuously monitor ambient data such as temperature, humidity and light. The continuous data transmission of energy constrained sensor nodes is a challenge to the lifetime and performance of WSNs. Th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0077372b0a99fe9d83240e86210e61dd
https://doi.org/10.5772/intechopen.94500
https://doi.org/10.5772/intechopen.94500
Autor:
Norihiko Shinomiya, Ferdinand Apietu Katsriku, Tatsuo Unemi, Ebenezer Owusu, Masayasu Atsumi, Jamal-Deen Abdulai, Clifford Broni-Bedaiko
Publikováno v:
Artificial Life and Robotics. 24:445-451
Arguably, El Nino-Southern Oscillation (ENSO) is the most influential climatological phenomenon that has been intensively researched during the past years. Currently, the scientific community knows much about the underlying processes of ENSO phenomen
Publikováno v:
Wireless Communications and Mobile Computing, Vol 2021 (2021)
In Wireless Sensor Networks, sensor nodes are deployed to ensure continuous monitoring of the environment which requires high energy utilization during the data transmission. To address the challenge of high energy consumption through frequent indepe
Autor:
Frank Kataka Banaseka, Felicia Engmann, Jamal-Deen Abdulai, Kofi Sarpong Adu-Manu, Ferdinand Apietu Katsriku
Publikováno v:
Wireless Communications and Mobile Computing, Vol 2021 (2021)
Radio signal propagation modeling plays an important role in the design of wireless communication systems. Various models have been developed, over the past few decades, to predict signal propagation and behavior for wireless communication systems in