Abstract: Aspects of the disclosure relate to using machine learning techniques for generating automated suspicious activity reports (SAR). A computing platform may generate a labelled transaction history dataset by combining historical transaction data with historical report information. The computing platform may train a convolutional neural network using the labelled transaction history dataset. The computing platform may receive new transaction data and compress the new transaction data using lossy compression. The computing platform may input the compressed transaction data into the convolutional neural network, which may cause the convolutional neural network to output a suspicious event probability score based on the compressed transaction data.

Abstract: Aspects of the disclosure relate to using machine learning techniques for generating automated suspicious activity reports (SAR). A computing platform may generate a labelled transaction history dataset by combining historical transaction data with historical report information. The computing platform may train a convolutional neural network using the labelled transaction history dataset. The computing platform may receive new transaction data and compress the new transaction data using lossy compression. The computing platform may input the compressed transaction data into the convolutional neural network, which may cause the convolutional neural network to output a suspicious event probability score based on the compressed transaction data.

Abstract: Aspects of the disclosure relate to using machine learning techniques for generating automated suspicious activity reports (SAR). A computing platform may generate a labelled transaction history dataset by combining historical transaction data with historical report information. The computing platform may train a convolutional neural network using the labelled transaction history dataset. The computing platform may receive new transaction data and compress the new transaction data using lossy compression. The computing platform may input the compressed transaction data into the convolutional neural network, which may cause the convolutional neural network to output a suspicious event probability score based on the compressed transaction data.

Abstract: Aspects of the disclosure relate to using machine learning techniques for generating automated suspicious activity reports (SAR). A computing platform may generate a labelled transaction history dataset by combining historical transaction data with historical report information. The computing platform may train a convolutional neural network using the labelled transaction history dataset. The computing platform may receive new transaction data and compress the new transaction data using lossy compression. The computing platform may input the compressed transaction data into the convolutional neural network, which may cause the convolutional neural network to output a suspicious event probability score based on the compressed transaction data.

Abstract: A table is provided that comprises a composite table top including a honeycomb core and a laminate layer on a top surface of said core and a plurality of ribs arranged substantially parallel to each other along a length of the core, the ribs including a top plate affixed to the core, a bottom beam opposite the top plate, and a web structure connecting the top plate to the bottom beam. The web structure defines a plurality of openings therethrough. The table further includes a leg assembly including a center beam extending parallel to the length dimension of the core perpendicular to the plurality of ribs, with support legs engaged to the opposite ends of the center beam and configured to support the table top. The table is provided with at least two pivot mechanisms, each pivot mechanism connected between the center beam and the composite table top.

Abstract: A table is provided that comprises a composite table top including a honeycomb core and a laminate layer on a top surface of said core and a plurality of ribs arranged substantially parallel to each other along a length of the core, the ribs including a top plate affixed to the core, a bottom beam opposite the top plate, and a web structure connecting the top plate to the bottom beam. The web structure defines a plurality of openings therethrough. The table further includes a leg assembly including a center beam extending parallel to the length dimension of the core perpendicular to the plurality of ribs, with support legs engaged to the opposite ends of the center beam and configured to support the table top. The table is provided with at least two pivot mechanisms, each pivot mechanism connected between the center beam and the composite table top.