Yusuke Matsuyama, Takeo Fujiwara, Manami Ochi, Aya Isumi, Tsuguhiko Kato
Self-control and dental caries among elementary school children in Japan
Community dentistry and oral epidemiology
waste management economy intertwined various ways adopting sustainable waste management techniques contribute economic growth resource conservation artificial intelligence aibased classification crucial rapid contactless classification metals electronic waste ewaste management present research work five types aluminium alloys extensive use structural electrical thermotechnical functions electronics industry taken laserinduced breakdown spectroscopy libs spectral identifier technique employed conjunction machine learning ml classification models ai principal component analysis pca unsupervised ml classifier found incapable differentiate libs data alloys supervised ml classifier trained 10fold crossvalidation randomly selected 80 tested 20 spectral data alloy assess classification capacity tested variants k nearest neighbour knn resulting accuracy lower 30 knn ensembled random subspace method showed improved accuracy 98 study revealed aibased libs system classify ewaste alloys rather effectively noncontactless mode could potentially connected robotic systems hence minimizing manual labour