Abstract: Embodiments of the present disclosure generally relate to methods and materials for fabricating building materials and other components from coal. More specifically, embodiments of the present disclosure relate to materials and other components, such as char clay plaster, char brick, and foam glass fabricated from coal, and to methods of forming such materials. In an embodiment is provided a building material fabrication method. The method includes mixing an organic solvent with coal, under solvent extraction conditions, to form a coal extraction residue, and heating the coal extraction residue under pyrolysis conditions to form a pyrolysis char, the pyrolysis conditions comprising a temperature greater than about 500° C. The method further includes mixing the pyrolysis char with water and with one or more of clay, cement, or sand to create a mixture, and molding and curing the mixture to form a building material. Pyrolysis char-containing materials are also disclosed.

Abstract: Embodiments of the present disclosure generally relate to methods and materials for fabricating building materials and other components from coal. More specifically, embodiments of the present disclosure relate to materials and other components, such as char clay plaster, char brick, and foam glass fabricated from coal, and to methods of forming such materials. In an embodiment is provided a building material fabrication method. The method includes mixing an organic solvent with coal, under solvent extraction conditions, to form a coal extraction residue, and heating the coal extraction residue under pyrolysis conditions to form a pyrolysis char, the pyrolysis conditions comprising a temperature greater than about 500° C. The method further includes mixing the pyrolysis char with water and with one or more of clay, cement, or sand to create a mixture, and molding and curing the mixture to form a building material. Pyrolysis char-containing materials are also disclosed.

Abstract: A device obtains image data associated with a document. Using a first machine learning model, the device determines, for the document, a first classification of one of a plurality of document types and a first confidence score associated with the first classification, and a second classification of one of the plurality of document types and a second confidence score associated with the second classification based on the image data. The device determines a difference between the first confidence score and the second confidence score, compares the difference and a threshold value, and accept the first classification of the document when the difference satisfies the threshold value.

Abstract: A device obtains image data associated with a document. Using a first machine learning model, the device determines, for the document, a first classification of one of a plurality of document types and a first confidence score associated with the first classification, and a second classification of one of the plurality of document types and a second confidence score associated with the second classification based on the image data. The device determines a difference between the first confidence score and the second confidence score, compares the difference and a threshold value, and accept the first classification of the document when the difference satisfies the threshold value.

Abstract: A device obtains image data associated with a document. Using a first machine learning model, the device determines, for the document, a first classification of one of a plurality of document types and a first confidence score associated with the first classification, and a second classification of one of the plurality of document types and a second confidence score associated with the second classification based on the image data. The device determines a difference between the first confidence score and the second confidence score, compares the difference and a threshold value, and accept the first classification of the document when the difference satisfies the threshold value.

Abstract: A device obtains image data associated with a document. Using a first machine learning model, the device determines, for the document, a first classification of one of a plurality of document types and a first confidence score associated with the first classification, and a second classification of one of the plurality of document types and a second confidence score associated with the second classification based on the image data. The device determines a difference between the first confidence score and the second confidence score, compares the difference and a threshold value, and accept the first classification of the document when the difference satisfies the threshold value.

Abstract: A device obtains image data associated with a document. Using a first machine learning model, the device determines, for the document, a first classification of one of a plurality of document types and a first confidence score associated with the first classification, and a second classification of one of the plurality of document types and a second confidence score associated with the second classification based on the image data. The device determines a difference between the first confidence score and the second confidence score, compares the difference and a threshold value, and accept the first classification of the document when the difference satisfies the threshold value.

Abstract: A device obtains image data associated with a document. Using a first machine learning model, the device determines, for the document, a first classification of one of a plurality of document types and a first confidence score associated with the first classification, and a second classification of one of the plurality of document types and a second confidence score associated with the second classification based on the image data. The device determines a difference between the first confidence score and the second confidence score, compares the difference and a threshold value, and accept the first classification of the document when the difference satisfies the threshold value.