Abstract: A method for determining a disease state prediction, relating to a potential disease or medical condition of a subject, includes accessing a set of subject images, the subject images capturing a part of a subject's body, and accessing a set of clinical factors from the subject. The clinical factors are collected by a device or a medical practitioner substantially contemporaneously with the capture of the subject images. The subject images are inputted into an image model to generate disease metrics for disease prediction for the subject. The disease metrics generated by the image model and the clinical factors are inputted into a classifier to determine the disease state prediction, and the disease state prediction is returned.

Abstract: Methods and systems are provided for accurately filling holes, regions, and/or portions of images using iterative image inpainting. In particular, iterative inpainting utilize a confidence analysis of predicted pixels determined during the iterations of inpainting. For instance, a confidence analysis can provide information that can be used as feedback to progressively fill undefined pixels that comprise the holes, regions, and/or portions of an image where information for those respective pixels is not known. To allow for accurate image inpainting, one or more neural networks can be used. For instance, a coarse result neural network (e.g., a GAN comprised of a generator and a discriminator) and a fine result neural network (e.g., a GAN comprised of a generator and two discriminators).

Abstract: Techniques are provided for providing a user with retrieved images of a specific article of clothing or accessory worn by models having a particular body type and pose as selected by the user. The images have been analyzed to identify both a body type and pose of the model wearing the article of clothing in each of the images. The images are labeled based on at least body type and pose of the model and clustered based on their labels, and are thus available for retrieval by subsequent requests by a user. In particular, a user that is interested in the article of clothing can input one or more requests for images of models having a selected body type and pose. Any of the images labeled with the selected body type and pose can then be provided to the user in any number ways.

Abstract: The present invention discloses methods and systems for communicating at a cellular router between a first wireless communication module and a first subscriber identity module (SIM). The cellular router receives a first request from a first wireless communication module and encapsulates the first request in a first modified request. The cellular router then sends the first modified request to a first SIM card in a first communication apparatus and waits for a first modified reply. While waiting for the first modified reply the cellular router sends at least one halt message to the first wireless communication module after a first time threshold. After receiving the first modified reply, the cellular router decapsulates the first modified reply to retrieve a first reply and sends the first reply to the first wireless communication module where the first modified reply is a reply to the first modified request.

Abstract: Methods and systems for generating a semantically augmented image are disclosed. An embedding is generated for each object label associated with a segmented input image. For each embedding associated with a respective object label, a similarity score is computed between the embedding associated with the object label and an embedding representing an object class in an object bank storing a plurality of object images. At least one object is selected, the selected object being associated with a respective object image in the object bank, the selected at least one object being from an identified object class that is identified as contextually relevant to at least one object label associated with the segmented input image, based at least on the similarity score. The selected object is added into the segmented input image to generate the augmented image.

Abstract: A bridge combiner can be implemented as a coupling circuit that includes a common node and configured to couple the common node to a first group of filters through a first path and to couple the common node to a second group of one or more filters through a second path. The coupling circuit can include a resonator such that an impedance provided by each filter of the first group for a signal in each band of the second group results in the signal being sufficiently excluded from the first path, and such that an impedance provided by each filter of the second group for a signal in each band of the first group results in the signal being sufficiently excluded from the second path.

Abstract: Disclosed is a method for reconstruction of a Chemical Exchange Saturation Transfer (CEST) contrast image. The method includes: generating training samples for a deep neural network; training the deep neural network with the training samples to obtain a trained deep neural network; and reconstructing a CEST contrast image by using the trained deep neural network and PROPELLER undersampled CEST images. The method for reconstruction of a CEST contrast image can effectively shorten the experimental time of a CEST contrast imaging and can obtain a smoother and more accurate CEST contrast image. Further disclosed is a system for reconstruction of a CEST contrast image to implement the method for reconstruction.

Abstract: Systems and methods for actuating a Do Not Disturb (DND) feature of a playback device that is configured to play back alert notifications from a plurality of network-enabled devices include (i) a mobile device receiving input data representing a selection of the playback device; (ii) the mobile device receiving input data representing a selection of a DND time period; and (iii) responsive to receiving the input data representing the selections of the playback device and the DND time period, sending an instruction to the selected playback device that causes the selected playback device to enter a DND mode for the duration of the selected DND time period, during which the selected playback device is instructed to not play back alert notifications when the alert notifications are received from at least one network-enabled device of the plurality of network-enabled devices.

Abstract: A wireless multi-band device comprises a radiating system comprising a ground plane layer, a boosting element, and a radiofrequency system, wherein the radiofrequency system comprises a tunable reactive element.

Abstract: The present disclosure relates to an adaptive antenna radome heating system (200, 300, 400) for a point to point radio link, where the adaptive antenna radome heating system comprises a processing unit (150, 220, 420) and at least one point to point radio link transceiver (TRX) (111, 121; 210A, 210B, 210C). Each TRX comprises an antenna radome (110, 120) having an antenna radome heating device (140, 141) configured to be activated by a control signal (R1, R2, RN). The processing unit (150, 220, 420) is arranged to determine an onset of accumulated precipitation on the antenna radome of the at least one TRX (111, 121; 210A, 210B, 210C) and to activate the corresponding antenna radome heating device (140, 141) by the control signal (R1, R2, RN) in response to determining the onset of accumulated precipitation.

Abstract: Techniques for image processing and transformation are provided. A plurality of images and a plurality of maps are received, and a system of neural networks is trained based on the plurality of images and the plurality of maps. A first image is received, and a first map is generated by processing the first image using the system of neural networks.

Abstract: Systems and methods for indoor tracking via Wi-Fi fingerprinting and electromagnetic fingerprinting are provided and can include a gateway receiver device measuring a RSSI value of a signal transmitted by a Wi-Fi transmitter device, the gateway receiver device measuring an EMF value of an interference in an electromagnetic field created by the gateway receiver device that is caused by the Wi-Fi transmitter device, the gateway receiver device determining whether the RSSI value matches any of a plurality of Wi-Fi fingerprints associated with a monitored region and whether the EMF value matches any of a plurality of electromagnetic fingerprints associated with the monitored region, and responsive thereto, the gateway receiver device identifying that a location of the Wi-Fi transmitter device is within the monitored region.

Abstract: A radio frequency (RF) aperture includes an interface board. An array of electrically conductive tapered projections have bases disposed on a front side of the interface printed circuit board and extend away from the front side of the interface printed circuit board. RF circuitry is disposed at the back side of the interface board and is electrically connected with the electrically conductive tapered projections.

Abstract: Embodiments of the invention provide apparatuses, systems, and methods for more accurate remote monitoring of a user's body. In some embodiments, a system for monitoring a user's body comprises a wearable device, a video sensor attached at a collar portion of the wearable device, a plurality of audio sensors spaced and attached at a body portion of a wearable device and a controller configured to determine a Jugular Venous Pressure (JVP) of the user, and determine audio characteristics of an output of the plurality of audio sensors to generate an audio heat map corresponding to at least one internal organ of the user.

Abstract: A system and method for optimizing the performance for MIMO are provided, the system including multiple antennas, including at least one modal antenna, wherein each of the at least one modal antenna has multiple modes corresponding to multiple radiation patterns, and a processor coupled to the multiple antennas and configured to select a mode among the multiple modes to optimize signal quality for each time interval based on a CQI by considering envelop correlation effects.

Abstract: A computerized model compatibility regulation method for imaging applications first performs a target domain B application by computing means using at least one image X and target domain B image analytics to generate a target domain B application output for X. The method then applies a reference domain A application by computing means to generate reference domain A application output for X. The method further performs a compatibility assessment to generate at least one compatibility result for X. In addition, the method checks the compatibility result for X and if the check output is incompatible, the method performs online correction to generate a corrected application output for X.

Abstract: The present invention discloses methods and systems for communicating at a cellular router between a first wireless communication module and a first subscriber identity module (SIM). The cellular router receives a first request from a first wireless communication module and encapsulates the first request in a first modified request. The cellular router then sends the first modified request to a first SIM card in a first communication apparatus and waits for a first modified reply. While waiting for the first modified reply the cellular router sends at least one halt message to the first wireless communication module after a first time threshold. After receiving the first modified reply, the cellular router decapsulates the first modified reply to retrieve a first reply and sends the first reply to the first wireless communication module where the first modified reply is a reply to the first modified request.

Abstract: Disclosed herein are methods of utilizing machine learning methods to analyze microscope images of populations of cells.

Abstract: Methods, computer program products, and systems are presented. The methods include, for instance: obtaining a pair of deep learning networks. A number of transferrable layers are determined and a homophily value indicating a level of similarity between layers of the same depth from the pair of the deep learning networks is determined. Upon ascertaining that the homophily value shows that the respective weight vectors of a layer of the same depth are to be combined based on a homophily threshold condition, the respective weight vectors for the layer is combined.

Abstract: The present disclosure relates to a method for medical imaging method for locating anatomical landmarks of a predetermining defined anatomy.