Abstract: The method provides for detecting information associated with consumed food. Data associated with detection events of food for possible consumption by a user is received from a plurality of sources. The data of detected food is parsed using a first criteria and parsing of event metadata is done using a second criteria and the data received from the detection event. Aggregate data is created for the food items by combining the detected food item data and the respective metadata of the detection event. An ordered list of food items from the aggregate data is generated and arranged according to a determined user consumption probability for the ordered list food items. The aggregate data of respective food items of the ordered list includes nutritional information of macronutrients and calories, accessed from a database, and the list of food items potentially consumed by the user are formatted into a predetermined form.

Abstract: A computer-implemented system and method operate an automatic and adaptive animal behavioral system. The system receives user configuration and feedback, and generates a training set based on online animal behavior patterns and received user feedback. The system trains one or multiple models based on the training set, if the training set is sufficiently large. It then validates the models, and provides system generated classifications and action types and levels for animal’s behavior patterns, if the models’ accuracy rate is above a threshold.

Abstract: A set of incoming lanes are identified within a pre-determined proximity of a traffic signal as candidate lanes to receive a go-signal from the traffic signal. A prioritized overall lane wait time is calculated for each incoming lane. Selected lanes receive the go-signal in the current iteration, based on the prioritized overall lane wait time. An amount of time to allocate to the go-signal is calculated, based on the number of vehicles to flush from the selected lanes. The go-signal is presented to the selected lanes for the allocated time, including non-conflicting lanes. A set of metrics are collected including throughput of vehicles leaving the pre-determined proximity of the traffic signal. Based on the metrics, a time allocation is determined for the next iteration of the go-signal, parameters are updated for the prioritized overall lane wait time, and the next iteration of the traffic signal is initiated.

Abstract: The method provides for detecting information associated with consumed food. Data associated with detection events of food for possible consumption by a user is received from a plurality of sources. The data of detected food is parsed using a first criteria and parsing of event metadata is done using a second criteria and the data received from the detection event. Aggregate data is created for the food items by combining the detected food item data and the respective metadata of the detection event. An ordered list of food items from the aggregate data is generated and arranged according to a determined user consumption probability for the ordered list food items. The aggregate data of respective food items of the ordered list includes nutritional information of macronutrients and calories, accessed from a database, and the list of food items potentially consumed by the user are formatted into a predetermined form.

Abstract: A computer-implemented method for vehicle parking analysis and identification is disclosed. The computer-implemented method includes determining one or more parking preferences and one or more parking requirements of a user. The computer-implemented method includes determining one or more parking spaces based on comparing the one or more ranked parking preferences and the one or more ranked parking requirements of the user to parking data associated with one or more available parking spaces. The computer-implemented method includes generating a parking space recommendation, wherein the parking space recommendation includes the one or more optimal parking spaces selected from the one or more available parking spaces.