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Небесная энциклопедия

Космические корабли и станции, автоматические КА и методы их проектирования, бортовые комплексы управления, системы и средства жизнеобеспечения, особенности технологии производства ракетно-космических систем

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Мониторинг СМИ

Мониторинг СМИ и социальных сетей. Сканирование интернета, новостных сайтов, специализированных контентных площадок на базе мессенджеров. Гибкие настройки фильтров и первоначальных источников.

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Форма поиска

Поддерживает ввод нескольких поисковых фраз (по одной на строку). При поиске обеспечивает поддержку морфологии русского и английского языка
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Применить Всего найдено 11. Отображено 11.
10-08-2021 дата публикации

Systems and methods for providing stable deployments to mainframe environments

Номер: US0011086757B1

A mainframe deployment device for deploying code to a mainframe device in a stable, self-correcting manner is described. The mainframe deployment device is configured to receive a code section from the software management device, identify a set of valid sub-components from the code section using a dispatcher service associated with the dispatcher device, identify a set of elements in the code section identified for deployment, request the at least one testing service to perform at least one set of code diagnostics to determine whether the code section satisfies build requirements, attempt to create a deployment package from the code section, identify a production program running on the mainframe device, compare the production program to the deployment package to identify a set of synchronization errors, resolve the synchronization errors, and deploy the deployment package to the mainframe device upon resolving the set of synchronization errors.

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01-09-2022 дата публикации

COUGH DETECTION SYSTEM

Номер: US20220277764A1
Принадлежит:

Methods and systems for a cough detection system are provided. The methods and systems include operations comprising: receiving an utterance comprising a cough from a user; determining one or more environmental factors, one or more health related factors, or both associated with the user; processing the utterance with a machine learning technique to generate an illness prediction, the machine learning technique being trained to establish a relationship between a plurality of training cough utterances and a plurality of illnesses corresponding to the plurality of training cough utterances; applying a weight to the illness prediction based on the one or more environmental factors, health related factors, or both associated with the user; and triggering an alert representing the illness prediction based on the weighted illness prediction. 1. A method comprising:receiving, by one or more processors, an utterance comprising a cough from a user;determining, by the one or more processors, one or more environmental factors, one or more health related factors, or both associated with the user;processing the utterance with a machine learning technique to generate an illness prediction, the machine learning technique being trained to establish a relationship between a plurality of training cough utterances and a plurality of illnesses corresponding to the plurality of training cough utterances;applying a weight to the illness prediction based on the one or more environmental factors, health related factors, or both associated with the user; andtriggering an alert representing the illness prediction based on the weighted illness prediction.2. The method of claim 1 , wherein the utterance is captured by a client device comprising a microphone claim 1 , and wherein the client device transmits the utterance to a server to generate the illness prediction.3. The method of claim 1 , further comprising:pre-processing the utterance;detecting presence of the cough in the utterance; ...

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02-03-2023 дата публикации

Pharmacy benefit management machine learning systems and methods

Номер: US20230061727A1

A machine learning process for use with a pharmacy benefits management system. The machine learning process identifies a first predicted set of drug benefit claims impacted by a pricing error, reprices a sample of the first predicted set of drug benefit claims to adjust for the error, and trains a predictive model as a function of the repriced sample. Based on the trained model, the machine learning process predicts a second predicted set of drug benefit claims impacted by the error and initiates automatic repricing.

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28-12-2023 дата публикации

Systems and methods for package delivery with unmanned aerial vehicles

Номер: US20230418313A1

A package delivery system for delivering a plurality of packages with one or more unmanned aerial vehicles (UAVs) includes a package receptacle to receive and store the plurality of packages. A charging station charges a plurality of UAV batteries which power the one or more UAVs. A UAV landing pad permits the one or more UAVs to land thereon. A loader loads a package of the plurality of packages and/or a UAV battery of the plurality of UAV batteries onto the UAVs when the UAVs are on the UAV landing pad. A transporter moves the packages and/or the UAV batteries s toward the loader.

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10-10-2023 дата публикации

System and method for receiving and delivering a medical package

Номер: US11783273B1
Автор: John Ciliberti

A system and method for controlling an autonomous unmanned aerial vehicle for retrieval and delivery of a medical package includes determining a thermal control period for the medical package. The disclosure also includes identifying a relevant retrieval location corresponding to the medical package. The disclosure also includes identifying at least one environmental characteristic of an environment that includes a delivery three-dimensional flight path between the relevant retrieval location and a delivery location, wherein the at least one environmental characteristic indicates an actual weather value at the relevant retrieval location. The disclosure also includes determining whether to retrieve the medical package based on the thermal control period and the at least one environmental characteristic, using the unmanned aerial vehicle.

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17-10-2023 дата публикации

Systems and methods for package delivery with unmanned aerial vehicles

Номер: US11789469B1

A package delivery system for delivering a plurality of packages with one or more unmanned aerial vehicles (UAVs) includes a package receptacle to receive and store the plurality of packages. A charging station charges a plurality of UAV batteries which power the one or more UAVs. A UAV landing pad permits the one or more UAVs to land thereon. A loader loads a package of the plurality of packages and/or a UAV battery of the plurality of UAV batteries onto the UAVs when the UAVs are on the UAV landing pad. A transporter moves the packages and/or the UAV batteries s toward the loader.

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19-10-2023 дата публикации

Systems and methods for providing stable deployments to mainframe environments

Номер: US20230333846A1

A quality assurance system includes a mainframe deployment device in communication with a mainframe device with a codebase. The mainframe deployment device initializes a branch repository corresponding to a code region of the codebase, identifies, for a code element of the code region, a timestamp indicating a creation time and a user identifier indicating an owner, populates the branch repository with the code element based on the code region and the timestamp, applies a code security scan to the branch repository to identify and resolve a code security issue, and applies a code quality scan to the branch repository to identify a code quality issue in the code element, assign the code element to the user identifier based at least partially on the timestamp, and route the code element along with information regarding the code quality issue to correct the code quality issue in the code element.

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28-12-2023 дата публикации

System and method for receiving and delivering a medical package

Номер: US20230419239A1
Автор: John Ciliberti

A system and method for controlling an autonomous unmanned aerial vehicle for retrieval and delivery of a medical package includes determining a thermal control period for the medical package. The disclosure also includes identifying a relevant retrieval location corresponding to the medical package. The disclosure also includes identifying at least one environmental characteristic of an environment that includes a delivery three-dimensional flight path between the relevant retrieval location and a delivery location, wherein the at least one environmental characteristic indicates an actual weather value at the relevant retrieval location. The disclosure also includes determining whether to retrieve the medical package based on the thermal control period and the at least one environmental characteristic, using the unmanned aerial vehicle.

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27-07-2023 дата публикации

Machine learning models for automated processing of audio waveform database entries

Номер: US20230238019A1
Принадлежит: Evernorth Strategic Development Inc

A computer system includes memory hardware and processor hardware configured to execute stored instructions. The instructions include training a machine learning model with the historical feature vector inputs including multiple audio data entries and multiple claims data entries, to generate a condition likelihood output indicative of a specified condition associated with one of multiple historical database entities. The instructions include for each of a set of multiple database entities, generating a feature vector input according to audio data and the claims data associated with the entity, processing the feature vector input with the machine learning model to generate the condition likelihood output, and assigning the database entity to an identified condition subset in response to determining that the condition likelihood output is greater than a specified likelihood threshold. The instructions include transforming a user interface to display the condition likelihood output associated with the database entity.

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27-08-2024 дата публикации

Systems and methods for providing stable deployments to mainframe environments

Номер: US12073212B2

A quality assurance system includes a mainframe deployment device in communication with a mainframe device with a codebase. The mainframe deployment device initializes a branch repository corresponding to a code region of the codebase, identifies, for a code element of the code region, a timestamp indicating a creation time and a user identifier indicating an owner, populates the branch repository with the code element based on the code region and the timestamp, applies a code security scan to the branch repository to identify and resolve a code security issue, and applies a code quality scan to the branch repository to identify a code quality issue in the code element, assign the code element to the user identifier based at least partially on the timestamp, and route the code element along with information regarding the code quality issue to correct the code quality issue in the code element.

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06-08-2024 дата публикации

System and method for receiving and delivering a medical package

Номер: US12056651B2
Автор: John Ciliberti

A system and method for controlling an autonomous unmanned aerial vehicle for retrieval and delivery of a medical package includes determining a thermal control period for the medical package. The disclosure also includes identifying a relevant retrieval location corresponding to the medical package. The disclosure also includes identifying at least one environmental characteristic of an environment that includes a delivery three-dimensional flight path between the relevant retrieval location and a delivery location, wherein the at least one environmental characteristic indicates an actual weather value at the relevant retrieval location. The disclosure also includes determining whether to retrieve the medical package based on the thermal control period and the at least one environmental characteristic, using the unmanned aerial vehicle.

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