公开(公告)号：US20230274324A1

公开(公告)日：2023-08-31

申请号：US18136394

申请日：2023-04-19

Applicant: SAP SE

Inventor： Julian Stoettinger ,  Volker Loch ,  Rolf Mahr ,  Rohit Kumar Gupta ,  Johannes Hoehne

IPC: G06Q30/0282 ,  G06F16/28 ,  G06N5/046 ,  G06N20/00 ,  G06F18/2431

CPC classification number: G06Q30/0282 ,  G06F16/285 ,  G06N5/046 ,  G06N20/00 ,  G06F18/2431

Abstract: Provided is a system and method that can identify whether an item is a dangerous good. The system can determine whether a product belongs in any of a number of different classes of dangerous goods from among a plurality of different regulations based on a machine learning algorithm which performs a text-based classification. In one example, the method may include receiving an identification of an object, retrieving a plurality of descriptive attributes of the object from a data store and converting the plurality of descriptive attributes into an input string, predicting whether the object is a dangerous object via execution of a text-based machine learning algorithm that receives the input string as an input, and outputting information about the prediction of the object for display via a user interface.

公开(公告)号：US11663635B2

公开(公告)日：2023-05-30

申请号：US16413058

申请日：2019-05-15

Applicant: SAP SE

Inventor： Julian Stoettinger ,  Volker Loch ,  Rolf Mahr ,  Rohit Kumar Gupta ,  Johannes Hoehne

IPC: G06N5/046 ,  G06N20/00 ,  G06F18/2431 ,  G06Q30/0282 ,  G06F16/28

CPC classification number: G06Q30/0282 ,  G06F16/285 ,  G06F18/2431 ,  G06N5/046 ,  G06N20/00

Abstract: Provided is a system and method that can identify whether an item is a dangerous good. The system can determine whether a product belongs in any of a number of different classes of dangerous goods from among a plurality of different regulations based on a machine learning algorithm which performs a text-based classification. In one example, the method may include receiving an identification of an object, retrieving a plurality of descriptive attributes of the object from a data store and converting the plurality of descriptive attributes into an input string, predicting whether the object is a dangerous object via execution of a text-based machine learning algorithm that receives the input string as an input, and outputting information about the prediction of the object for display via a user interface.

公开(公告)号：US12125075B2

公开(公告)日：2024-10-22

申请号：US18136394

申请日：2023-04-19

Applicant: SAP SE

Inventor： Julian Stoettinger ,  Volker Loch ,  Rolf Mahr ,  Rohit Kumar Gupta ,  Johannes Hoehne

IPC: G06N5/046 ,  G06F16/28 ,  G06F18/2431 ,  G06N20/00 ,  G06Q30/0282

CPC classification number: G06Q30/0282 ,  G06F16/285 ,  G06F18/2431 ,  G06N5/046 ,  G06N20/00

Abstract: Provided is a system and method that can identify whether an item is a dangerous good. The system can determine whether a product belongs in any of a number of different classes of dangerous goods from among a plurality of different regulations based on a machine learning algorithm which performs a text-based classification. In one example, the method may include receiving an identification of an object, retrieving a plurality of descriptive attributes of the object from a data store and converting the plurality of descriptive attributes into an input string, predicting whether the object is a dangerous object via execution of a text-based machine learning algorithm that receives the input string as an input, and outputting information about the prediction of the object for display via a user interface.