Abstract: Provided is a system for analyzing a multivariate time series that includes at least one processor programmed or configured to receive a time series of historical data points, determine a historical time period, determine a contemporary time period, determine a first time series of data points associated with a historical transaction metric from the historical time period, determine a second time series of data points associated with a historical target transaction metric from the historical time period, determine a third time series of data points associated with a contemporary transaction metric from the contemporary time period, and generate a machine learning model, wherein the machine learning model is configured to provide an output that comprises a predicted time series of data points associated with a contemporary target transaction metric. Methods and computer program products are also provided.

Abstract: A computer-implemented method for providing merchant recommendations comprises receiving, by a processor, raw merchant embeddings and raw user embeddings generated from payment transaction records, wherein the raw merchant embeddings include a plurality of embedded features. A generative adversarial network (GAN) performs a disentanglement process on the raw merchant embeddings to remove an effect of an identified feature by generating modified merchant embeddings that are free of the identified feature and are aligned with other ones of the plurality of features. A list of merchant rankings is automatically generates based on the modified merchant embeddings, past preferences of a target user using the raw merchant embeddings, and a current location in which the merchant recommendations should be made. A list of merchant rankings is then provided to the target user.

Abstract: Described are a system, method, and computer program product for user network activity anomaly detection. The method includes receiving network resource data associated with network resource activity of a plurality of users and generating a plurality of layers of a multilayer graph from the network resource data. Each layer of the plurality of layers may include a plurality of nodes, which are associated with users, connected by a plurality of edges, which are representative of node interdependency. The method also includes generating a plurality of adjacency matrices from the plurality of layers and generating a merged single layer graph based on a weighted sum of the plurality of adjacency matrices. The method further includes generating anomaly scores for each node in the merged single layer graph and determining a set of anomalous users based on the anomaly scores.

Abstract: Described are a system, method, and computer program product for multivariate event prediction using multi-stream recurrent neural networks. The method includes receiving event data from a sample time period and generating feature vectors for each subperiod of each day. The method also includes providing the feature vectors as inputs to a set of first recurrent neural network (RNN) models and generating first outputs for each RNN node. The method further includes merging the first outputs for each same subperiod to form aggregated time-series layers. The method further includes providing the aggregated time-series layers as an input to a second RNN model and generating final outputs for each RNN node of the second RNN model.

Abstract: Provided are systems for analyzing a relational database using embedding learning that may include at least one processor programmed or configured to generate one or more entity-relation matrices from a relational database and perform, for each entity-relation matrix of the one or more entity-relation matrices, an embedding learning process on an embedding associated with an entity. When performing the embedding learning process on the embedding associated with the entity, the at least one processor is programmed or configured to generate an updated embedding associated with the entity. Computer implemented methods and computer-program products are also provided.

Abstract: A computer-implemented method for providing merchant recommendations comprises receiving, by a processor, raw merchant embeddings and raw user embeddings generated from payment transaction records, wherein the raw merchant embeddings include a plurality of embedded features. A generative adversarial network (GAN) performs a disentanglement process on the raw merchant embeddings to remove an effect of an identified feature by generating modified merchant embeddings that are free of the identified feature and are aligned with other ones of the plurality of features. A list of merchant rankings is automatically generates based on the modified merchant embeddings, past preferences of a target user using the raw merchant embeddings, and a current location in which the merchant recommendations should be made. A list of merchant rankings is then provided to the target user.

Abstract: A stylish ready-to-assemble chaise lounge and sofa which may be easily and quickly assembled by a consumer, is provided. The invention is a kit from which either a stylish chaise lounge or a sofa may be easily assembled by a consumer using a single Allen wrench. The kits, both chaise and sofa, comprise a seat base, a long side seatback and a short side seatback, feet, fasteners and cushions. With regard to the chaise, the long and short side chaise seatbacks have rectangular lower portions with upper portions featuring a flowing curved “waterfall” seating surface which improves the comfort of a user leaning back against the seatback.

Abstract: A stylish ready-to-assemble chaise lounge and sofa which may be easily and quickly assembled by a consumer, is provided. The invention is a it from which either a stylish chaise lounge or a sofa may be easily assembled by a consumer using a single Allen wrench. The kits, both chaise and sofa, comprise a seat base, a long side seatback and a short side seatback, feet, fasteners and cushions. With regard to the chaise, the long and short side chaise seatbacks have rectangular lower portions with upper portions featuring a flowing curved “waterfall” seating surface which improves the comfort of a user leaning back against the seatback.

Abstract: A digital pressure gauge comprises a power supply, an input button unit, a pressure sensor, a display unit, a warning unit, and a control unit. The control unit counts the number of operations and/or operation duration of the digital pressure gauge and generates an alarm through the display unit and the warning unit when the counted number of operations and/or operation duration of the digital pressure gauge exceeds a threshold.

Abstract: A user interface for facilitating a computer-aided diagnosis (CAD) includes an image input device that receives and scans the multiple images, and a film feeder that transports films from a film developer to the scanner. A multi-image identification input device uses bar code reading, numeric keypad, keyboard, network, and/or mouse to enter multiple image identification prior to image scanning. A display includes an image identification area, case processing status area, and a CAD detection and user modification area. The user can edit CAD results—accept, remove—and can add new diagnosis results to create a new composite diagnosis result.

Abstract: A method of detecting and analyzing abnormalities, like lung nodules, in thoracic computer tomography (CT) images uses digital image processing techniques and adaptive computing methods. The techniques include an automatic detection process to detect candidate abnormalities, an image matching process to match CT slices from two different CT scans, and a measurement process that determines parameters of the candidate abnormalities. Final results and processed CT images are displayed on a user interface.

Abstract: Radiological image processing equipment, for example, a computer-aided diagnosis (CAD) processor, may be interfaced with a communication network to permit images to be transmitted to the processing equipment and to permit results produced by the processing equipment to be transmitted to one or more destinations on the communication network.

Abstract: A method and system improve the detection of abnormalities, such as lung nodules, in radiological images using digital image processing and artificial neural network techniques. The detection method and system use a nodule phantom for matching in order to enhance the efficiency in detection. The detection method and system use spherical parameters to characterize true nodules, thus enabling detection of the nodules in the mediastinum. The detection method and system use a multi-layer back-propagation neural network architecture not only for the classification of lung nodules but also for the integration of detection results from different classifiers. In addition, this method and system improve the detection efficiency by recommending the ranking of true nodules and several false positive nodules prior to the training of the neural network classifier. The method and system use image segmentation to remove regions outside the chest in order to reduce the false positives outside the chest region.

Abstract: A pressure-regulating device is provided for regulating the internal pressure of a gas container. The container has a vent hole through which the gas may vent. The pressure-regulating device includes an electrical control unit for outputting a voltage, and a deformable member is coupled to the electrical control unit. The voltage makes the deformable member to generate a corresponding deformation for causing the vent hole to open or close so as to regulate the interior pressure of the container.

Abstract: A user interface for facilitating a computer-aided diagnosis (CAD) includes an image input device that receives and scans the multiple images, and a film feeder that transports films from a film developer to the scanner. A multi-image identification input device uses bar code reading, numeric keypad, keyboard, network, and/or mouse to enter multiple image identification prior to image scanning. A display includes an image identification area, case processing status area, and a CAD detection and user modification area. The user can edit CAD results—accept, remove—and can add new diagnosis results to create a new composite diagnosis result.

Abstract: A fuzzy logic based classification (FLBC) method for the automated discrimination of objects and the automated identification of nodules based on their features, a computer programmed to implement the method, and a storage medium which stores a program for implementing the method, wherein nodule (or, object) features are first normalized and then automatically selected. Based on the selected features, suspect nodules (or, objects) are pre-grouped and then subjected to the corresponding trained linear classifier to remove those false positive nodules or abnormal objects that are linearly separable. Finally, the remaining suspect nodules or objects are further subjected to a trained fuzzy classifier for removing those false positive nodules or abnormal objects that are not linearly separable.

Abstract: A divide-and-conquer (DAC) method and system improve the detection of abnormalities, like lung nodules, in radiological images via the use of zone-based digital image processing and artificial neural networks. The DAC method and system divide the lung zone into different zones in order to enhance the efficiency in detection. Different image enhancement techniques are used for each different zone to enhance nodule images, as are different zone-specific techniques for selecting suspected abnormalities, extracting image features corresponding to selected abnormalities, and classifying the abnormalities as either true or false abnormalities.

Abstract: A digital pressure gauge comprises a power supply, an input button unit, a pressure sensor, a display unit, a warming unit, and a control unit. The control unit counts an operation times and/or operation duration of the digital pressure gauge and generates alarm through the display unit and the warming unit when the counted operation times and/or operation duration of the digital pressure gauge exceeds a threshold.

Abstract: A method for setting the measuring states of a haemadynamometer comprises the steps of: actuating the power of the haemadynamometer; measuring blood pressure and displaying the measuring value; selecting the setting or unsetting various states according to the condition of the measurer, and displaying the state values; and finally, accessing the measuring values and the data of state values. Thereby, by the electronic haemadynamometer, the states of the user can be recorded. Then data can be look up from the haemadynamometer directly, or the data can be output to a PC for further analyzing so as to be as a reference of doctors.