Abstract: Systems and methods for tissue specific time gain compensation of an ultrasound image are provided. The method comprises acquiring an ultrasound image of a subject and displaying the ultrasound image over a console. The method further comprises selecting by a user a region within the ultrasound image that requires time gain compensation. The method further comprises carrying out time gain compensation of the user selected region of the ultrasound image. The method further comprises identifying a region having a similar texture to the user selected region and carrying out time gain compensation of the user selected region by an artificial intelligence (AI) based deep learning module.

Abstract: Embodiments provide a method and a system for conducting merchant-industry mapping based on ambient noise. The method includes receiving a payment transaction request and an audio signal comprising ambient noise in surrounding of a merchant terminal of a merchant. The ambient noise is recorded by the merchant terminal and includes a plurality of sounds. The method includes determining whether the merchant is an aggregated merchant or a non-aggregated merchant. The method includes processing the ambient noise to determine a type of the merchant upon determining that the merchant is the non-aggregated merchant. The method includes mapping the merchant to an industry from a plurality of industries available in the server system based on the type of the merchant. The method further includes storing the mapping of the industry and the merchant in a database associated with the server system.

Abstract: An information system provides a conversational knowledge base for responding to user queries. The information system incorporates contemporaneous advancements in NLP and deep learning to create the conversation knowledge base from its documents, which may be obtained from various sources. Domain-specific information is extracted and generated from the documents substantially without human intervention. From the domain-specific information, precise answers to synthesized questions are generated using transformer-based deep learning models.

Abstract: Methods and systems are provided for assessing image quality of ultrasound images. In one example, a method includes determining a probe position quality parameter of an ultrasound image, the probe position quality parameter representative of a level of quality of the ultrasound image with respect to a position of an ultrasound probe used to acquire the ultrasound image, determining one or more acquisition settings quality parameters of the ultrasound image, each acquisition settings quality parameter representative of a respective level of quality of the ultrasound image with respect to a respective acquisition setting used to acquire the ultrasound image, and providing feedback to a user of the ultrasound system based on the probe position quality parameter and/or the one or more acquisition settings quality parameters, the probe position quality parameter and each acquisition settings quality parameter determined based on output from separate image quality assessment models.

Abstract: Systems and methods for tissue specific time gain compensation of an ultrasound image are provided. The method comprises acquiring an ultrasound image of a subject and displaying the ultrasound image over a console. The method further comprises selecting by a user a region within the ultrasound image that requires time gain compensation. The method further comprises carrying out time gain compensation of the user selected region of the ultrasound image. The method further comprises identifying a region having a similar texture to the user selected region and carrying out time gain compensation of the user selected region by an artificial intelligence (AI) based deep learning module.

Abstract: Methods and systems are provided for assessing image quality of ultrasound images. In one example, a method includes determining a probe position quality parameter of an ultrasound image, the probe position quality parameter representative of a level of quality of the ultrasound image with respect to a position of an ultrasound probe used to acquire the ultrasound image, determining one or more acquisition settings quality parameters of the ultrasound image, each acquisition settings quality parameter representative of a respective level of quality of the ultrasound image with respect to a respective acquisition setting used to acquire the ultrasound image, and providing feedback to a user of the ultrasound system based on the probe position quality parameter and/or the one or more acquisition settings quality parameters, the probe position quality parameter and each acquisition settings quality parameter determined based on output from separate image quality assessment models.

Abstract: Embodiments provide a method and a system for conducting merchant-industry mapping based on ambient noise. The method includes receiving a payment transaction request and an audio signal comprising ambient noise in surrounding of a merchant terminal of a merchant. The ambient noise is recorded by the merchant terminal and includes a plurality of sounds. The method includes determining whether the merchant is an aggregated merchant or a non-aggregated merchant. The method includes processing the ambient noise to determine a type of the merchant upon determining that the merchant is the non-aggregated merchant. The method includes mapping the merchant to an industry from a plurality of industries available in the server system based on the type of the merchant. The method further includes storing the mapping of the industry and the merchant in a database associated with the server system.

Abstract: Embodiments provide methods and server systems for facilitating reward tracking and redemption platform for airline travellers. A method includes receiving, by a server system associated with a payment network, an airline ticket booking notification including a booking information of an airline ticket purchased by a user using a payment card. Using a payment card information, the method includes checking if a Universal Account Number (UAN) is assigned to the user. If yes, the method includes retrieving the UAN. If not, the method includes assigning the UAN to the user. The method includes linking the UAN to the airline ticket. The method includes facilitating a reward tracking and redemption platform that at least includes one or more reward points assigned to the UAN. The one or more reward points are generated based on difference of a baggage weight carried by the user versus the baggage weight allowed by an airline enterprise.

Abstract: A method for recommending products to a sender for presenting to a recipient includes registering, by a server, first and second payment modes indicative of first and second purchase histories of the first sender and the recipient, respectively. The server determines a set of product categories that maps to the second purchase history and generates a list of products associated with the determined set of product categories. The server filters the generated list based on a set of rules such that a first plurality of products already purchased by the recipient are excluded from the generated list. The server renders a first user interface on a first user device of the sender to display the filtered list that includes one or more products recommended to the sender for presenting to the recipient. The displayed one or more products are selectable by the sender for presenting to the recipient.

Abstract: A method and a device for generating a multimedia clip from multimedia content without interrupting playback of the multimedia content and with no user inputs or at least minimal user inputs are provided. A multimedia content being currently played is stored in a buffer. A current time or a current frame is designated as an end point of the multimedia clip. A start point of the multimedia clip is either computed or received. The multimedia clip is generated by retrieving from the buffer a portion of the multimedia content between the start point and the end point.

Abstract: A method and a device for generating a multimedia clip from multimedia content without interrupting playback of the multimedia content and with no user inputs or at least minimal user inputs are provided. A multimedia content being currently played is stored in a buffer. A current time or a current frame is designated as an end point of the multimedia clip. A start point of the multimedia clip is either computed or received. The multimedia clip is generated by retrieving from the buffer a portion of the multimedia content between the start point and the end point.

Abstract: The voice conversion method of a display apparatus includes: in response to the receipt of a first video frame, detecting one or more entities from the first video frame; in response to the selection of one of the detected entities, storing the selected entity; in response to the selection of one of a plurality of previously-stored voice samples, storing the selected voice sample in connection with the selected entity; and in response to the receipt of a second video frame including the selected entity, changing a voice of the selected entity based on the selected voice sample and outputting the changed voice.

Abstract: A method and apparatus for automatically switching channels are provided. The method includes detecting an advertisement from content of a current channel that is displayed on a screen of a display apparatus; scanning at least one channel of a predetermined channel list to detect an advertisement-free channel, in response to the advertisement being detected on the current channel; and switching the current channel to the detected advertisement-free channel.

Abstract: The voice conversion method of a display apparatus includes: in response to the receipt of a first video frame, detecting one or more entities from the first video frame; in response to the selection of one of the detected entities, storing the selected entity; in response to the selection of one of a plurality of previously-stored voice samples, storing the selected voice sample in connection with the selected entity; and in response to the receipt of a second video frame including the selected entity, changing a voice of the selected entity based on the selected voice sample and outputting the changed voice.