Abstract: Various embodiments described herein provide systems and methods for identifying potentially erroneous transactions. A hardware processing device may receive user data indicative of historical actions taken by a user relative to transactions, automatically process the user data to generate a plurality of rules, and automatically apply the rules to a transaction to determine that the transaction is likely to be erroneous. An output device may output a notification to the user to indicate that the transaction is likely to be erroneous. The transaction may have a plurality of attributes, each of which falls within one of a plurality of categories. Automatically processing the user data may include analyzing historical actions of the user relative to historical transactions that also have the attributes. Automatically applying the rules to the transaction may include comparing the attributes of the transaction with the rules.

Abstract: Lumber sorting systems and methods that use adaptive lumber management to tailor the distribution of lumber to improve the yield and aesthetic properties of a product are disclosed. An adaptive lumber management system in accordance with the present disclosure may comprise a lumber scanner configured to record one or more characteristics of each board and create a data file for each board comprising information regarding the characteristic of the board. A processor may be configured to determine a target tray for each board based on the data files. The processor may be further configured to generate at least one mapping. The system may further comprise a sorting mechanism configured to sort the plurality of boards into their respective target trays and at least one tipple configured to select each board or the plurality of boards from the plurality of trays according to the at least one mapping.

Abstract: A method for managing a cache memory network is disclosed. The method comprises estimating the popularity of a piece of data content according to an extreme learning machine, and managing the cache memory network according to the estimated popularity of the piece of data content. Estimation may be performed upon a request for the piece of data content, and may be accordingly cashed into an appropriate cache memory device upon estimation of its popularity.

Abstract: A method for managing a cache memory network is disclosed. The method comprises estimating the popularity of a piece of data content according to an extreme learning machine, and managing the cache memory network according to the estimated popularity of the piece of data content. Estimation may be performed upon a request for the piece of data content, and may be accordingly cashed into an appropriate cache memory device upon estimation of its popularity.