A smart city collects and analyzes details from IoT sensors and video cameras. In essence, it "senses" the surroundings so the city operator can make a decision how and when to choose motion.Semi-supervised learning falls between unsupervised and supervised learning. As an alternative to supplying a system all labeled details (like in supervised le
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