K
Karl Andersson
Researcher at Luleå University of Technology
Publications - 178
Citations - 3206
Karl Andersson is an academic researcher from Luleå University of Technology. The author has contributed to research in topics: Computer science & Mobile computing. The author has an hindex of 21, co-authored 148 publications receiving 1764 citations. Previous affiliations of Karl Andersson include University of Chittagong & University of Lorraine.
Papers
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A Survey of Blockchain From the Perspectives of Applications, Challenges, and Opportunities
TL;DR: A comparative study of the tradeoffs of blockchain is presented, a comparison among different consensus mechanisms is provided, and challenges, including scalability, privacy, interoperability, energy consumption and regulatory issues are discussed.
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An international Master's program in green ICT as a contribution to sustainable development
Alexandra Klimova,Eric Rondeau,Eric Rondeau,Karl Andersson,Jari Porras,Andrei Rybin,Arkady Zaslavsky +6 more
TL;DR: The development of an international Master's degree program named “Pervasive computing and communications for sustainable development” (PERCCOM) by an international consortium is described, which aimed to combine advanced ICT with environmental, economic, and social awareness.
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IoT Based Real-time River Water Quality Monitoring System
Mohammad Salah Uddin Chowdury,Talha Bin Emran,Subhasish Ghosh,Abhijit Pathak,Mohd. Manjur Alam,Nurul Absar,Karl Andersson,Mohammad Shahadat Hossain +7 more
TL;DR: The proposed sensor-based water quality monitoring system will immensely help Bangladeshi populations to become conscious against contaminated water as well as to stop polluting the water.
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A Belief Rule Based Expert System for Datacenter PUE Prediction under Uncertainty
TL;DR: A belief rule based expert system to predict datacenter PUE under uncertainty is proposed and an optimal learning model for the BRBES demonstrated which has been compared with ANN and Genetic Algorithm; and the results are promising.
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A Belief Rule Based Expert System to Assess Tuberculosis under Uncertainty
TL;DR: The design, development and applications of a Belief Rule Based Expert System (BRBES) with the ability to handle various types of uncertainties to diagnose TB are presented.