Abstract:Exposure to polychlorinated biphenyals (PCBs) is hazardous to human health. The United Nations Environment Programme has decreed that nations, including Canada and the US, must eliminate PCB contaminated utility equipment such as transformers by 2025. Sampling, which imposes a non-trivial expenditure, is required to confirm the PCB content of a transformer. For the first time, we apply an iterative machine learning technique known as active learning to construct a PCB transformer identification model that aims… Show more
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