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, which combines elements of supervised and unsupervised approaches. This method utilizes a little number of labeled data and a larger quantity of unlabeled data, thus increasing learning accuracy while lessening the need for labeled data, that may be time and labor intensive to acquire.Environmental effects. The data facilities and community infra