Abstract: In a method for applying penalties or incentives to a driver of a rented vehicle, an indication that the driver has agreed to terms for renting the vehicle from the vehicle owner is received, with the terms including the potential application of penalties or incentives to the driver based on driving behavior. Telematics data, indicative of operation of the rented vehicle by the driver during a period of time, is received. By analyzing the telematics data, one or more driving behaviors of the driver during the time period is/are identified. For each driving behavior, a corresponding state of an environment of the rented vehicle when the driving behavior occurred is determined. One or more penalties or incentives are caused to be applied to the driver, based on the driving behavior(s) and the corresponding state(s) of the environment of the rented vehicle.

Abstract: Embodiments described herein generate a first set of prompts, the first set of prompts configured to prompt a vehicle owner for a first set of answers used to learn preferred vehicle renter characteristics; receive the first set of answers; generate, based upon the first set of answers, a second set of prompts, the second set of prompts configured to prompt the owner for a second set of answers used to learn additional preferred vehicle renter characteristics; receive the second set of answers; predict user preference value(s) of a profile of the owner based upon the second set of answers, wherein the user preference value(s) define criteria for sharing a vehicle associated with the profile with vehicle renters who satisfy the criteria; apply the criteria to potential vehicle renters; and cause an indication of the vehicle to be displayed only to the potential vehicle renters who satisfy the criteria.

Abstract: Systems, computer program products, and methods are described herein for dynamically generating linked security tests. The present invention may be configured to perform security tests on an application, generate, based on the results of the security tests, security test sequences that include at least one security test that the application failed, perform the security test sequences on the application, and, iteratively and until the application passes each security test sequence in an iteration, generate additional security test sequences. The present invention may be further configured to provide results of the security tests and security test sequences to one or more machine learning models to generate supplementary security test sequences and determine probabilities of the application failing the supplementary security test sequences.

Abstract: Embodiments described herein, inter alia, receive telematics data collected over a period of time, wherein the telematics data is indicative of operation of a vehicle by a potential renter during the period of time; identify, upon analyzing the telematics data, driving behavior(s) of the renter during the period of time; determine, for each driving behavior, a corresponding state of an environment of the vehicle when the driving behavior occurred; determine renter eligibility value(s) for the renter based on the driving behavior(s) and the corresponding state of an environment of the vehicle; compare the renter eligibility value(s) to user preference value(s) of a profile of a vehicle owner, wherein the user preference value(s) define one or more criteria for vehicle renters with whom the vehicle can be shared; and cause an indication of the vehicle associated with the profile to be displayed only if the renter satisfies the criteria.

Abstract: Systems, computer program products, and methods are described herein for dynamically generating linked security tests. The present invention may be configured to perform security tests on an application, generate, based on the results of the security tests, security test sequences that include at least one security test that the application failed, perform the security test sequences on the application, and, iteratively and until the application passes each security test sequence in an iteration, generate additional security test sequences. The present invention may be further configured to provide results of the security tests and security test sequences to one or more machine learning models to generate supplementary security test sequences and determine probabilities of the application failing the supplementary security test sequences.

Abstract: Modular shelter systems are described herein. In one aspect, the modular shelter system includes an endcap positioned at a first end of the modular shelter system. The endcap includes a first support arch; and an endcap frame. The modular shelter system also includes a second support arch positioned at a second end of the modular shelter system. The modular shelter system also includes at least one section assembly disposed between the first support arch and the second support arch. The section assembly includes a plurality of purlins oriented along a longitudinal axis of the modular shelter system.

Abstract: A device configured to receive a data sample about a configuration for one or more network devices in a public network. The device is further configured to compare one or more threat indicators to the data sample where each threat indicator is associated with a configuration setting. The device is further configured to identify a first network device in the public network that comprises a configuration that matches a threat indicator and to generate a bad actor profile for the first network device. The device is further configured to receive data traffic for a second network device in a private network and to block data communications between the second network device in the private network and the first network device in the public network in response to determining that the first network device is associated with the bad actor profile.

Abstract: Embodiments of the invention are directed to systems, methods, and computer program products for creating an effective baseline for controlling software and programs running on a user device or virtual machine environment of an enterprise network. Historical data may be used to train one or more iterative machine learning processes for intelligently identifying relevant program characteristics and aiding or automating a determination as to a software or program's need, usage, redundancy, or security. Determinations regarding software or program classifications may be used for further review or automated control of software or program execution within a network environment.

Abstract: Systems, computer program products, and methods are described herein for dynamically performing linked security tests. The present invention may be configured to determine a fingerprint of an application, perform, in an order based on the fingerprint of the application, security test sequences on the application, parse responses of the application to the security test sequences to generate results of the security test sequences, and label, with the fingerprint, the results. The present invention may be further configured to provide, to one or more machine learning models, the labeled results to determine probabilities of applications having a same fingerprint as the fingerprint of the application failing the security test sequences, update, based on the probabilities of the applications failing the security test sequences, the order, and store, in a temporary persistent storage device and based on the updated order, the security test sequences.

Abstract: Systems, computer program products, and methods are described herein for dynamically generating linked security tests. The present invention may be configured to perform security tests on an application, generate, based on the results of the security tests, security test sequences that include at least one security test that the application failed, perform the security test sequences on the application, and, iteratively and until the application passes each security test sequence in an iteration, generate additional security test sequences. The present invention may be further configured to provide results of the security tests and security test sequences to one or more machine learning models to generate supplementary security test sequences and determine probabilities of the application failing the supplementary security test sequences.

Abstract: Embodiments of the invention are directed to systems, methods, and computer program products for creating an effective baseline for controlling software and programs running on a user device or virtual machine environment of an enterprise network. Historical data may be used to train one or more iterative machine learning processes for intelligently identifying relevant program characteristics and aiding or automating a determination as to a software or program's need, usage, redundancy, or security. Determinations regarding software or program classifications may be used for further review or automated control of software or program execution within a network environment.

Abstract: A wireless hot shaving cream dispenser is provided. The dispenser includes a nozzle extending from a housing for dispensing a foam output. A flow path extends within the housing from a soap solution reservoir to the nozzle. A disrupter on the flow path downstream from the reservoir has a convoluted surface on the flow path to form a foam from soap solution flowing along the flow path. A heating assembly heats the dispenser to provide heat to the foam on the flow path, and a pump pumps soap solution from the reservoir through the disrupter to the nozzle along the flow path. A method of producing a hot shaving cream lather using the dispenser is provided.

Abstract: A wireless hot shaving cream dispenser is provided. The dispenser includes a nozzle extending from a housing for dispensing a foam output. A flow path extends within the housing from a soap solution reservoir to the nozzle. A disrupter on the flow path downstream from the reservoir has a convoluted surface on the flow path to form a foam from soap solution flowing along the flow path. A heating assembly heats the dispenser to provide heat to the foam on the flow path, and a pump pumps soap solution from the reservoir through the disrupter to the nozzle along the flow path. A method of producing a hot shaving cream lather using the dispenser is provided.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for molecular content analysis. One of the methods includes receiving molecular content data that indicates a molecular content of a portion of a batch of sludge; determining, by a machine learning module included in the system using the molecular content data and multiple parameters, a predicted value for a property of the portion of the batch of sludge; and providing the predicted value for the property of the portion of the batch of sludge.

Abstract: Systems, computer program products, and methods are described herein for testing an application with dynamically linked security tests. The present invention may be configured to perform, using a request engine, based on the first data, and based on test protocols stored in a first data structure, a first security test on an application. The present invention may be further configured to determine, based on determining that the application failed the first security test and based on a second data structure, whether the first security test is linked to one or more other security tests, where the second data structure includes security test sequences linking security tests and/or data to transmit from the first security test to the one or more other security tests, and provide, to the first queue, one or more other security tests to which the first security test is linked.

Abstract: A wireless hot shaving cream dispenser is provided. The dispenser includes a nozzle extending from a housing for dispensing a foam output. A flow path extends within the housing from a soap solution reservoir to the nozzle. A disrupter on the flow path downstream from the reservoir has a convoluted surface on the flow path to form a foam from soap solution flowing along the flow path. A heating assembly heats the dispenser to provide heat to the foam on the flow path, and a pump pumps soap solution from the reservoir through the disrupter to the nozzle along the flow path. A method of producing a hot shaving cream lather using the dispenser is provided.

Abstract: Various technologies for mitigating distortion in coherent image products generated from SAR data are described herein. Synthetic aperture radar (SAR) datasets generated based upon SAR returns from first and second passes of a SAR platform over a scene are received. The SAR datasets can be co-notched at matching sample indices to improve coherence of SAR images generated from the datasets. Windowed SAR data is generated by applying independent windows to subsets of each of the datasets to reduce sidelobe levels of their image impulse responses. Coherent image products are generated based upon the windowed SAR data, wherein an image quality of the coherent image products is improved as compared to coherent image products generated based upon the SAR datasets.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for molecular content analysis. One of the methods includes receiving molecular content data that indicates a molecular content of a portion of a batch of sludge; determining, by a machine learning module included in the system using the molecular content data and multiple parameters, a predicted value for a property of the portion of the batch of sludge; and providing the predicted value for the property of the portion of the batch of sludge.

Abstract: Pre-processing is applied to a raw VideoSAR (or similar near-video rate) product to transform the image frame sequence into a product that resembles more closely the type of product for which conventional video codecs are designed, while sufficiently maintaining utility and visual quality of the product delivered by the codec.