Abstract: This disclosure is directed to automated computer-implemented methods and systems for runtime detection and reporting of anomalous behavior objects running in a data center. A deep neural network is trained to generated forecast metric values of a metric of the object in a time interval from historical metric values of the metric. For each runtime metric value, a runtime residual value is computed based on the runtime metric value and a forecast metric value. Methods and system use spectral residual anomaly detection to determine in real time whether the runtime residual value indicates anomalous behavior of the object. In response to detecting anomalous behavior of the object, methods and system display an alert in a graphical user interface (“GUI”) of an electronic display device. The alert identifies the anomalous behavior of the object, the runtime metric value, and a time stamp of the anomalous behavior.

Abstract: A system and method for deduplicating target records using machine learning uses a deduplication machine learning model on the target records to classify the target records as duplicate target records and nonduplicate target records. The deduplication machine learning model leverages transfer learning, derived through first and second machine learning models for data matching, where the first machine learning model is trained using a generic dataset and the second machine learning model is trained using a target dataset and parameters transferred from the first machine learning model.

Abstract: A method, an apparatus, and a system for treating a waste in a vehicle. The waste is received from a lavatory in a waste tank through a waste input port connected to the lavatory in the vehicle. Anaerobic bacteria are introduced into the waste such that anaerobic digestion occurs to breakdown a biodegradable material in the waste in the waste tank.

Abstract: A heating, ventilation, and air conditioning system includes a heating system to heat an interior of a dwelling, an air conditioning system to cool the interior of the dwelling, and a ventilation system coupled to the heating system and air conditioning system to convey air into areas within the dwelling. A control system is coupled to the heating system, the air conditioning system, and the ventilation system, and includes at least one sensor to detect an environmental parameter related to the interior of the dwelling, and one or more processors for receiving data generated by the at least one sensor. The one or more processors to obtain an instruction to vary an environmental condition of the interior of the dwelling, analyze the environmental parameter in response to receiving the instruction, and determine whether to ignore the instruction to vary the environmental condition based on an analysis of the environmental parameter.

Abstract: A method, an apparatus, and a system for treating a waste in a vehicle. The waste is received from a lavatory in a waste tank through a waste input port connected to the lavatory in the vehicle. Anaerobic bacteria are introduced into the waste such that anaerobic digestion occurs to breakdown a biodegradable material in the waste in the waste tank.