Abstract: Embodiments provide for application of personalized or individualized sensor-based risk profiles for impacts of external events. An example method includes receiving sensor data from one or more sensors couplable with a subject body of a subject population comprising a plurality of subject bodies; receiving external factor data associated with the subject population; generating a population-level external event impact metric, where the population-level external event impact metric represents a predicted impact of one or more external events on a physiological or other metric of the subject population; generating a subject-level external impact metric, where the subject-level external event impact metric represents a predicted impact of the one or more external events on the physiological or other metric associated with the subject body; and initiating the performance of one or more prediction-based actions based on the subject-level external event impact metric.

Abstract: Embodiments of the disclosure provide for improved processing of data with different timescales, for example high-frequency data and low-frequency data. Embodiments specifically improve such processing of different timescale data processed by a machine learning model. Additionally or alternatively, some embodiments include improved processing of data with different timescales by selecting an optimal variant from a plurality of possible variants of a prediction model.

Abstract: A device for counting the number of corrugated articles in a stack of corrugated articles includes a light source for illuminating a multi-article containing surface of the stack of corrugated articles. An electro-optical image capturing camera captures a first visual image frame of a first segment of the multi-article containing surface, and a signal converting means converts the first visual image frame into a first electronic frame signal representative of the first visual image frame. A central processing unit, a frame grabber circuit and software process the first electronic frame signal into a first series of article signals representative of the series of individual articles of the first segment of the multi-article containing surface. The processor also counts the number of individual articles in the first series of article signals.

Abstract: A device for counting the number of corrugated articles in a stack of corrugated articles includes a light source for illuminating a multi-article containing surface of the stack of corrugated articles. An electro-optical image capturing camera captures a first visual image frame of a first segment of the multi-article containing surface, and a signal converting means converts the first visual image frame into a first electronic frame signal representative of the first visual image frame. A central processing unit, a frame grabber circuit and software process the first electronic frame signal into a first series of article signals representative of the series of individual articles of the first segment of the multi-article containing surface. The processor also counts the number of individual articles in the first series of article signals.