首页|International Islamic University Malaysia Reports Findings in Support Vector Machines (Impact of harvesting seasons on physicochemical properties and volatile compound profiles of Malaysian stingless bee honey analysed using chemometrics and ...)
International Islamic University Malaysia Reports Findings in Support Vector Machines (Impact of harvesting seasons on physicochemical properties and volatile compound profiles of Malaysian stingless bee honey analysed using chemometrics and ...)
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New research on Support Vector Machines is the subject of a report. According to news reporting out of Kuala Lumpur, Malaysia, by NewsRx editors, research stated, “Stingless bee honey’s nutritional value is gaining attention, but the impact of harvesting seasons, specifically the rainy (September 2018) and dry (February 2019) seasons in Malaysia on the honey’s physicochemical properties and volatile compounds remains insufficiently explored. This research revealed marginal differences in the physicochemical properties between seasons.” Our news journalists obtained a quote from the research from International Islamic University Malaysia, “However, through individual bee species and cumulative data analysis, honey samples were effectively differentiated based on harvesting seasons. A set of seventeen volatile compounds were identified as potential chemical markers for distinguishing H. bakeri, G. thoracica, and T. binghami honey between rainy and dry seasons. For cumulative data, four significant markers were proposed.”
Kuala LumpurMalaysiaAsiaChemometricEmerging TechnologiesMachine LearningSupport Vector MachinesVector Machines
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