Abstract: An image of a financial instrument can be received and analyzed. One or more properties of the financial instrument can be determined based on the image. A uniqueness rating of the financial instrument can be determined based on the property or properties. Terms of the financial instrument are identified, and the financial instrument and identified terms are recorded in a digital storage base.

Abstract: Methods, computer program products, and systems are presented. The method computer program products, and systems can include, for instance: responsive to a determination that a mobile client computer device is at a location of an item venue, sending to the client computer device prompting data, wherein the client computer device is associated to a user; examining feedback data defined by the user, wherein the feedback data is defined by the user in response to the prompting data; and transmitting to the mobile client computer device second prompting data in dependence on the examining feedback data defined by the user.

Abstract: A method, computer system, and a computer program product for product verification is provided. The present invention may include encoding a unique identifier for a product. The present invention may include storing the unique identifier in a shared library. The present invention may include determining a bio-tagging composition for the product. The present invention may include monitoring the product using the bio-tagging composition.

Abstract: Aspects include receiving a document and classifying at least a subset of the document as having a first type of data. Features are extracted from the document. The extracting includes initiating processing of the at least a subset of the document by a first processing engine that was previously trained to extract features from the first type of data. The extracting also includes initiating processing of a remaining portion of the document not included in the at least a subset of the document by a second processing engine that was previously trained to extract features from a second type of data. The first type of data is different than the second type of data. Features are received from one or both of the first processing engine and the second processing engine. The received features are stored as features of the document.

Abstract: An example operation may include one or more of splitting, by a document server, a document provided by a document owner node into a plurality of segments to be stored on a ledger of a blockchain, detecting, by the document server, a change to the document made by an authorized participant node, updating, by the document server, a segment of the plurality of segments stored on the ledger based on the change to the document, collecting, by the document server, votes on the change to the document from a plurality of participant nodes, and committing the updated segment to the blockchain based on the votes.

Abstract: According to one embodiment, a method, computer system, and computer program product for personalizing playback of an audio stream is provided. The present invention may include sectioning the audio stream into one or more content blocks and one or more filler blocks; determining one or more topics associated with the one or more filler blocks; determining a level of complexity associated with the one or more filler blocks; determining a listener's level of interest in and level of comprehension of the one or more topics; based on the level of complexity, the level of interest, and level of comprehension corresponding to the one or more topics, assigning a playback speed to the one or more content blocks associated with the one or more topics; and modifying the one or more content blocks to play at the assigned playback speed.

Abstract: According to one embodiment, a method, computer system, and computer program product for personalizing playback of an audio stream is provided. The present invention may include sectioning the audio stream into one or more content blocks and one or more filler blocks; determining one or more topics associated with the one or more filler blocks; determining a level of complexity associated with the one or more filler blocks; determining a listener’s level of interest in and level of comprehension of the one or more topics; based on the level of complexity, the level of interest, and level of comprehension corresponding to the one or more topics, assigning a playback speed to the one or more content blocks associated with the one or more topics; and modifying the one or more content blocks to play at the assigned playback speed.

Abstract: Embodiments of the present invention provide a computer system a computer program product, and a method that comprises, in response to receiving a request for a task to be performed, optimizing configured operational parameters based on prioritized user parameters and environmental details associated with the task; calculating a value of the task based, at least in part, the optimized configured parameters, environmental details associated with the task, and prioritized user parameters; and performing the task based on the optimized, configured parameters and calculated value.

Abstract: Aspects of the invention include a computer-implemented method for generating promise identifiers for documents. Aspects include processing a document including a reference, wherein processing includes performing natural language processing (NLP) the document, and identifying the reference included in the document. Aspects also include generating a promise identifier for the reference in the document, and responsive to processing the document, resolving the promise identifier for the reference by providing data of the reference associated with the promise identifier. Aspects of the invention also include a computer program product and system for generating promise identifiers for documents.

Abstract: Provided is a method for relocating a solar power unit in response to a redeployment event. A first location of a deployed solar power unit may be determined. A processor may detect a redeployment event for the solar power unit at the first location. In response to the redeployment event, the processor may determine a new location for the solar power unit. The method may further comprise relocating the solar power unit to the new location.

Abstract: Provided is a method for relocating a solar power unit in response to a redeployment event. A first location of a deployed solar power unit may be determined. A processor may detect a redeployment event for the solar power unit at the first location. In response to the redeployment event, the processor may determine a new location for the solar power unit. The method may further comprise relocating the solar power unit to the new location.

Abstract: Provided is a method for deploying multiple solar power units to a location. The method comprises determining a location to which a solar power unit is deploying. The method further comprises determining that a second solar power unit is deploying to a same location as the solar power unit. A redeployment plan for the second solar power unit is generated. The redeployment plan is provided to the second solar power unit. The method further comprising deploying the solar power unit to the location.

Abstract: A temperature state of one or more fluids in one or more enclosures is determined. Acoustic data is collected using a microphone. Frequency domain features are determined based on the acoustic data, where the frequency domain features are obtained across a frequency range of the acoustic data. The frequency domain features are correlated to the output of a machine learning acoustic analysis model and the one or more fluids are classified based on temperature based on the correlated one or more frequency domain features. In addition, the machine learning acoustic analysis model is trained by recording acoustic training data using a microphone and collecting temperature data for a fluid across a range of temperatures for the fluid. Frequency domain features are determined across a frequency range of the acoustic training data and the frequency domain features are correlated to the temperature data for a fluid.

Abstract: Provided is a method for deploying multiple solar power units to a location. The method comprises determining a location to which a solar power unit is deploying. The method further comprises determining that a second solar power unit is deploying to a same location as the solar power unit. A redeployment plan for the second solar power unit is generated. The redeployment plan is provided to the second solar power unit. The method further comprising deploying the solar power unit to the location.

Abstract: Real-time cast sensor measurement outputs of a set of cast sensors that each measure a characteristic related to usage of an adjustable removable cast worn by a patient during treatment of congenital talipes equino varus (CTEV) are monitored. A cast usage anomaly relative to a treatment program prescribed for the patient with respect to wearing of the adjustable removable cast is identified according to the real-time cast sensor measurement outputs. Responsive to identifying the cast usage anomaly, real-time corrective treatment feedback is provided to the patient that instructs further and proper use of the adjustable removable cast to improve compliance with the treatment program prescribed for the patient.

Abstract: In an approach to estimating product inventory count, one or more computer processors receive one or more images of one or more products residing on a product storage location from an image capturing device. Based on the received images, one or more computer processors determine a count of the one or more products. One or more computer processors determine a confidence in the count of the one or more products. In response to determining the confidence is below a threshold, one or more computer processors calculate a recommended position of the image capturing device to produce an improved image of the one or more products. One or more computer processors transmit instructions to the image capturing device to move to the recommended position. One or more computer processors determine whether the image capturing device is in the recommended position.

Abstract: In an approach to anonymous inventory tracking, one or more computer processors receive a first image of one or more products from a user. The one or more computer processors remove data associated with an identity of the user from the first image. The one or more computer processors determine that a storage location associated with the one or more products in the first image is detected. The one or more computer processors determine an inventory count of the one or more products in the first image. The one or more computer processors submit the first image and the inventory count of the one or more products in the first image to a blockchain ledger in association with the storage location. The one or more computer processors take an action based on the inventory count.

Abstract: Aspects of the invention include resolving future reference identifiers for documents. Aspects of the invention include processing a document including a reference to a future event, wherein processing includes performing natural language processing (NLP) on the document, and identifying the reference to the future event included in the document. Aspects of the invention also include generating a future reference identifier for the reference to the future event, and responsive to processing an occurrence of the future event, resolving the future reference identifier by providing data from a subsequent document for the future event associated with the future reference identifier.

Abstract: A processor may generate a workstation characteristics model of a workspace. A processor may generate respective user profiles for each of one or more users. Each of the respective user profiles may include user data associated with a respective user. A processor may assign, based on the respective user profiles, a respective risk level to each of the respective user profiles. A processor may compare each of the respective risk levels to a risk threshold level. A processor may apply a user characteristic model. A user characteristic model may be based on each of the respective risk levels and the workstation characteristics model. A processor may assign each of the one or more users to respective workstations based on the user characteristic model.

Abstract: A method, computer system, and a computer program product for internal product composition analysis is provided. The internal product composition analysis may begin by receiving a product return identifier associated with a product and then retrieving a plurality of product data based on the received product return identifier, wherein the retrieved plurality of product data includes one or more expected features. Then one or more internal images of the product are generated and one or more internal features of the product are identified from the generated one or more internal images The identified one or more internal features may then be compared with the one or more expected features and in response to determining that the identified one or more internal features match the one or more expected features, accepting the product return.