Abstract: Systems and methods are described herein for providing content item recommendations based on a video. Using feature vectors corresponding to at least one frame of a video (e.g., generated based on texture and shape intensity of a frame), a recommendation system improves content recommendation using analytic and quantitative characteristics derived from a frame of a content item rather than merely manually labeled bibliographic data (e.g., a genre or producer). The recommendation system may generate a feature vector based on a texture, a shape intensity (e.g., generated from a Generalized Hough Transform), and temporal data corresponding to at least one frame of a video. The feature vector is analyzed using a machine learning model (e.g., a neural network) to produce a machine learning model output. The recommendation system causes a recommended content item to be provided based on the machine learning model output.

Abstract: The present invention relates to a water-injection device for an oven comprising a removable water tank in connection with a pressure pump; said pressure pump being in connection with a water injector.

Abstract: Systems and methods are described herein for providing content item recommendations based on a video. Using feature vectors corresponding to at least one frame of a video (e.g., generated based on texture and shape intensity of a frame), a recommendation system improves content recommendation using analytic and quantitative characteristics derived from a frame of a content item rather than merely manually labeled bibliographic data (e.g., a genre or producer). The recommendation system may generate a feature vector based on a texture, a shape intensity (e.g., generated from a Generalized Hough Transform), and temporal data corresponding to at least one frame of a video. The feature vector is analyzed using a machine learning model (e.g., a neural network) to produce a machine learning model output. The recommendation system causes a recommended content item to be provided based on the machine learning model output.

Abstract: The embryo transfer cannula stabilizer is a device attached to a vaginal speculum, which allows the sliding, placement, and secure fixing of a cannula to perform an embryo transfer. The embryo transfer cannula stabilizer prevents fine movement of the user's hand to reduce tremor at the intracervical level and avoid injury to the cervical canal, rupture of blood vessels, and the production of detritus.

Abstract: Systems and methods are described herein for providing content item recommendations based on a video. Specifically, content item recommendations are provided using a machine learning model. The machine learning model is trained using feature vectors that are correlated to one another. The correlated feature vectors include information indicative of a texture and shape intensity of an image. Using the feature vectors (e.g., image or video signatures), a recommendation system improves content recommendation using analytic and quantitative characteristics derived from a frame of a content item rather than merely manually labeled bibliographic data (e.g., a genre or producer).

Abstract: The embryo transfer cannula stabilizer is a device attached to a vaginal speculum, which allows the sliding, placement, and secure fixing of a cannula to perform an embryo transfer. The embryo transfer cannula stabilizer prevents fine movement of the user's hand to reduce tremor at the intracervical level and avoid injury to the cervical canal, rupture of blood vessels, and the production of detritus.

Abstract: Systems and methods are described herein for providing content item recommendations based on a video. Using feature vectors corresponding to at least one frame of a video (e.g., generated based on texture and shape intensity of a frame), a recommendation system improves content recommendation using analytic and quantitative characteristics derived from a frame of a content item rather than merely manually labeled bibliographic data (e.g., a genre or producer). The recommendation system may generate a feature vector based on a texture, a shape intensity (e.g., generated from a Generalized Hough Transform), and temporal data corresponding to at least one frame of a video. The feature vector is analyzed using a machine learning model (e.g., a neural network) to produce a machine learning model output. The recommendation system causes a recommended content item to be provided based on the machine learning model output.

Abstract: Systems and methods are described herein for providing content item recommendations based on a video. Using feature vectors corresponding to at least one frame of a video (e.g., generated based on texture and shape intensity of a frame), a recommendation system improves content recommendation using analytic and quantitative characteristics derived from a frame of a content item rather than merely manually labeled bibliographic data (e.g., a genre or producer). The recommendation system may generate a feature vector based on a texture, a shape intensity (e.g., generated from a Generalized Hough Transform), and temporal data corresponding to at least one frame of a video. The feature vector is analyzed using a machine learning model (e.g., a neural network) to produce a machine learning model output. The recommendation system causes a recommended content item to be provided based on the machine learning model output.

Abstract: Systems and methods for real-time matching of promotional content to content that a user is currently consuming. Content that is currently being consumed is classified into descriptive categories, such as by determining a vector of content features where this vector is in turn used to classify the currently-played content. Promotional content having classifications that match the classifications of the currently-played content is then determined. Matching promotional content may then be played for the user in real time. In this manner, systems and processes of embodiments of the disclosure may identify promotional content matching what the user is currently watching, so as to present users promotional content tailored to subject matter the user is currently interested in.

Abstract: Systems and methods for real-time matching of promotional content to content that a user is currently consuming. Content that is currently being consumed is classified into descriptive categories, such as by determining a vector of content features where this vector is in turn used to classify the currently-played content. Promotional content having classifications that match the classifications of the currently-played content is then determined. Matching promotional content may then be played for the user in real time. In this manner, systems and processes of embodiments of the disclosure may identify promotional content matching what the user is currently watching, so as to present users promotional content tailored to subject matter the user is currently interested in.

Abstract: Systems and methods are described herein for providing content item recommendations based on a video. Specifically, content item recommendations are provided using a machine learning model. The machine learning model is trained using feature vectors that are correlated to one another. The correlated feature vectors include information indicative of a texture and shape intensity of an image. Using the feature vectors (e.g., image or video signatures), a recommendation system improves content recommendation using analytic and quantitative characteristics derived from a frame of a content item rather than merely manually labeled bibliographic data (e.g., a genre or producer).

Abstract: Systems and methods are described herein for providing content item recommendations based on a video. Using feature vectors corresponding to at least one frame of a video (e.g., generated based on texture and shape intensity of a frame), a recommendation system improves content recommendation using analytic and quantitative characteristics derived from a frame of a content item rather than merely manually labeled bibliographic data (e.g., a genre or producer). The recommendation system may generate a feature vector based on a texture, a shape intensity (e.g., generated from a Generalized Hough Transform), and temporal data corresponding to at least one frame of a video. The feature vector is analyzed using a machine learning model (e.g., a neural network) to produce a machine learning model output. The recommendation system causes a recommended content item to be provided based on the machine learning model output.

Abstract: The invention relates to airfoils, called jn1431-265 and 1413-362, which operate intelligently by adjusting the variable aerodynamics thereof, not only through the attack and sine angle, but also through the effect of scale (air speed), which, when combined, improve the efficiency of the wings configured therewith by up to 30%, cause the wings to experience a predictable stall and also rapidly recover therefrom, and also making the wings configured therewith more efficient at low speed, which reduces the need to use flaps or slats (“high lift devices”), and, in the event that flaps or slats are used, increase the effect of said airfoils even more. On the other hand, at an increased speed, the aerodynamic variables also adjust by up to a third of the value thereof (the angle of attack remaining unchanged), causing the wing to also be very stable at high speed conditions.

Abstract: The invention relates to airfoils, called jn1431-265 and 1413-362, which operate intelligently by adjusting the variable aerodynamics thereof, not only through the attack and sine angle, but also through the effect of scale (air speed), which, when combined, improve the efficiency of the wings configured therewith by up to 30%, cause the wings to experience a predictable stall and also rapidly recover therefrom, and also making the wings configured therewith more efficient at low speed, which reduces the need to use flaps or slats (“high lift devices”), and, in the event that flaps or slats are used, increase the effect of said airfoils even more. On the other hand, at an increased speed, the aerodynamic variables also adjust by up to a third of the value thereof (the angle of attack remaining unchanged), causing the wing to also be very stable at high speed conditions.

Abstract: The invention relates to airfoils, called jn1431-265 and 1413-362, which operate intelligently by adjusting the variable aerodynamics thereof, not only through the attack and sine angle, but also through the effect of scale (air speed), which, when combined, improve the efficiency of the wings configured therewith by up to 30%, cause the wings to experience a predictable stall and also rapidly recover therefrom, and also making the wings configured therewith more efficient at low speed, which reduces the need to use flaps or slats (“high lift devices”), and, in the event that flaps or slats are used, increase the effect of said airfoils even more. On the other hand, at an increased speed, the aerodynamic variables also adjust by up to a third of the value thereof (the angle of attack remaining unchanged), causing the wing to also be very stable at high speed conditions.

Abstract: The invention relates to airfoils, called jn1431-265 and 1413-362, which operate intelligently by adjusting the variable aerodynamics thereof, not only through the attack and sine angle, but also through the effect of scale (air speed), which, when combined, improve the efficiency of the wings configured therewith by up to 30%, cause the wings to experience a predictable stall and also rapidly recover therefrom, and also making the wings configured therewith more efficient at low speed, which reduces the need to use flaps or slats (“high lift devices”), and, in the event that flaps or slats are used, increase the effect of said airfoils even more. On the other hand, at an increased speed, the aerodynamic variables also adjust by up to a third of the value thereof (the angle of attack remaining unchanged), causing the wing to also be very stable at high speed conditions.

Abstract: The invention relates to a device for saving, protecting and portioning toilet paper, said device being designed to portion the quantity of toilet paper supplied to the user by adjusting the predetermined quantity or length of paper dispensed, and the programmed time between one dispensation and another. In addition, the features of the device prevent all or a portion of the paper from being stolen, and the front screen of the device permits the user to know when they may access a new dispensation of paper by operating an actuating means. In this way, the user does not have access to all the paper at once, so they cannot steal or waste same, reducing the cost of operating and maintaining toilet areas, and improving the appearance of the toilet service.

Abstract: A method and system automatically determines when an electrode add event occurs in an electric arc furnace having a plurality of electrode columns, each carried by an electrode positioning system. Data is received correlating to the electrical current input to the positioning motors of the plurality of electrode columns. Data is also received correlating to a defined operating mode of the electrode positioning systems. Motor electrical current data is captured when the electrode positioning system is in the defined mode and an electrode-add event is thereafter determined when a current spike is identified in the motor input current data.

Abstract: An optical lens which, in a controlled manner, and without altering either the resolution or luminous capture, helps to extend the depth of field of any other optical system. The optical lens of the present invention is composed of two optical lenses that form a pair. Each of the lenses of the pair produces a change of optical path with a symmetrical distribution. If there is no relative displacement, the lenses of the pair generate an optical path difference equal to zero. When there is relative displacement, the lenses of the pair generate a change of optical path with asymmetric distribution, which helps to extend the depth of field without reducing either the resolution or luminous capture. The optical lens of this invention, in the form of an optical pair, serves any other optical system to capture images without loss of modulation, but with attenuated modulation which can be retrieved with digital processing algorithms known in the art.