首页|University of Djillali Liabes Researcher Provides New Insights into Artificial I ntelligence (Artificial Intelligence Approach for Bio-Based Materials' Character ization and Explanation)
University of Djillali Liabes Researcher Provides New Insights into Artificial I ntelligence (Artificial Intelligence Approach for Bio-Based Materials' Character ization and Explanation)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on artificial intelligenc e is the subject of a new report. According to news reporting from Sidi Bel Abbe s, Algeria, by NewsRx journalists, research stated, "This paper introduces a num erical methodology for classifying and identifying types of bio-based materials through experimental thermal characterization." Our news reporters obtained a quote from the research from University of Djillal i Liabes: "In contrast to prevailing approaches that primarily focus on thermal conductivity, our characterization methodology encompasses several thermal param eters. In this paper, the physical characteristics of seven types of biobased c oncrete were analyzed, focusing on the thermal properties of palm- and esparto-f iber-reinforced concrete. The proposed method uses artificial intelligence techn iques, specifically the k-means clustering approach, to segregate data into homo geneous groups with shared thermal characteristics. This enables the elucidation of insights and recommendations regarding the utilization of bio-based insulati on in building applications. The results show that the k-means algorithm is able to efficiently classify the reference concrete (RC) with a performance of up to 71%."
University of Djillali LiabesSidi Bel AbbesAlgeriaAfricaArtificial IntelligenceEmerging TechnologiesMachine Learning
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