首页|Researchers from Sichuan Agricultural University Report on Findings in Machine L earning (Targeting Sdg7: Identifying Heterogeneous Energy Dilemmas for Socially Disadvantaged Groups In India Using Machine Learning)
Researchers from Sichuan Agricultural University Report on Findings in Machine L earning (Targeting Sdg7: Identifying Heterogeneous Energy Dilemmas for Socially Disadvantaged Groups In India Using Machine Learning)
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Research findings on Machine Learning are discussed in a new report. According to news reporting originating in Chengd u, People's Republic of China, by NewsRx journalists, research stated, "To achie ve Sustainable Development Goal (SDG) 7, prioritizing the socially disadvantaged segments of the population is imperative, given their inherent susceptibility t o heightened risks of energy exclusion. However, a comprehensive understanding o f the diverse energy challenges faced by households with socioeconomic disparit ies remains elusive." Financial supporters for this research include National Natural Science Foundati on of China (NSFC), Key Research Base of Philosophy and Social Sciences in Sichu an Province - Research Center for System Science and Enterprise Development, Chi na Scholarship Council.
ChengduPeople's Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine LearningSichuan Agricultural Univer sity
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