output
20162021
most citedESTemd: A Distributed Processing Framework for Environmental Monitoring based on Apache Kafka Streaming Engine

19 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

5 papers

cs.DC2021★ 19 cited

ESTemd: A Distributed Processing Framework for Environmental Monitoring based on Apache Kafka Streaming Engine

Adeyinka Akanbi

Distributed networks and real-time systems are becoming the most important components for the new computer age, the Internet of Things (IoT), with huge data streams or data sets ge…

cs.AI2018★ 3 cited

Towards the Development of a Rule-based Drought Early Warning Expert Systems using Indigenous Knowledge

A. K. Akanbi, M. Masinde

Drought forecasting and prediction is a complicated process due to the complexity and scalability of the environmental parameters involved. Hence, it required a high level of exper…

cs.AI2018★ 8 cited

Semantic Interoperability Middleware Architecture for Heterogeneous Environmental Data Sources

A. K. Akanbi, M. Masinde

Data heterogeneity hampers the effort to integrate and infer knowledge from vast heterogeneous data sources. An application case study is described, in which the objective was to s…

cs.DB2017

A Framework for Accurate Drought Forecasting System Using Semantics-Based Data Integration Middleware

A. K. Akanbi, M. Masinde

Technological advancement in Wireless Sensor Networks (WSN) has made it become an invaluable component of a reliable environmental monitoring system; they form the digital skin' th…

cs.AI2016★ 14 cited

Towards Semantic Integration of Heterogeneous Sensor Data with Indigenous Knowledge for Drought Forecasting

Adeyinka K. Akanbi, Muthoni Masinde

In the Internet of Things (IoT) domain, various heterogeneous ubiquitous devices would be able to connect and communicate with each other seamlessly, irrespective of the domain. Se…