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Israel Edem Agbehadji
Researcher at Durban University of Technology
Publications - 41
Citations - 397
Israel Edem Agbehadji is an academic researcher from Durban University of Technology. The author has contributed to research in topics: Computer science & Search algorithm. The author has an hindex of 7, co-authored 34 publications receiving 178 citations. Previous affiliations of Israel Edem Agbehadji include Central University of Technology.
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Journal ArticleDOI
Review of Big Data Analytics, Artificial Intelligence and Nature-Inspired Computing Models towards Accurate Detection of COVID-19 Pandemic Cases and Contact Tracing.
TL;DR: A review of computing models that can be adopted to enhance the performance of detecting and predicting the COVID-19 pandemic cases and tracing contacts of infected persons focuses on big data, artificial intelligence (AI) and nature-inspired computing (NIC) models that could be adopted in the current pandemic.
Journal ArticleDOI
Bio-Inspired Approaches for Smart Energy Management: State of the Art and Challenges
Tri-Hai Nguyen,Luong Vuong Nguyen,Jason J. Jung,Israel Edem Agbehadji,Samuel Ofori Frimpong,Richard Millham +5 more
TL;DR: The latest research on bio-inspired approaches for smart energy management systems in smart homes, smart buildings, and smart grids is investigated, including evolutionary-based and swarm-based optimization methods.
Journal ArticleDOI
Clustering algorithm based on nature-inspired approach for energy optimization in heterogeneous wireless sensor network
Israel Edem Agbehadji,Israel Edem Agbehadji,Richard Millham,Abdultaofeek Abayomi,Jason J. Jung,Simon Fong,Samuel Ofori Frimpong +6 more
TL;DR: The Kestrel-based Search Algorithm Distributed Energy Efficient Clustering (KSA-DEEC) model has an optimal network lifetime performance as compared to the Wolf Search Al algorithm with Minus Step Previous (WSAMP)-DEEC model and has the highest network throughput in the simulation that was performed.
Proceedings ArticleDOI
Wolf search algorithm for numeric association rule mining
TL;DR: A new meta-heuristic algorithm which uses wolf search algorithm (WSA) for numeric association rule mining from rough values within tolerable ranges is proposed.
Journal ArticleDOI
Distributed artificial bee colony approach for connected appliances in smart home energy management system
TL;DR: A computational intelligence model for the Internet of Things applications by applying the concept of swarm intelligence (SI) into connected devices and artificial bee colony (ABC) algorithm, a typical algorithm of SI techniques, is applied for connected appliances in terms of communication and collaboration with each other.