Abstract: A method for preventing data leakage may include: identifying data that is generated by at least one framework application in response to a data request from a first machine learning (ML) engine of a plurality of ML engines; creating a plurality of data blocks based on the generated data, a category of the first ML engine, and a tag associated with the first ML engine and the at least one framework application; determining whether the plurality of data blocks are valid to share with the first ML engine using an activity block chain associated with each of the plurality of framework applications; based on the plurality of data blocks being valid, sharing the plurality of data blocks with the first ML engine, and otherwise discarding the plurality of data blocks not to share with the first ML engine.

Abstract: A method for determining a proximity of at least one object using an electronic device is provided. The method includes obtaining hover data from a touch panel of the electronic device. Further, the method includes determining at least one of a first hover or a second hover based on the hover data of the at least one object obtained for the touch panel. Further, the method includes determining the proximity of the at least one object to the touch panel of the electronic device based on at least one of the first hover or the second hover.

Abstract: According to an embodiment, there is provided an electronic device comprising: a memory storing instructions; and at least one processor configured to execute the instructions to: generate state information regarding a device state of the electronic device of a first user and communication information regarding communications of the first user with a second user; transmitting the state information and the communication information to a server or an electronic device of the second user, wherein the state information and the communication information are used to determine communication availability of the first user and to provide the second user with information regarding the communication availability of the first user.

Abstract: A method for accidental touch prediction using machine learning (ML) classification is provided. The method includes determining, by an electronic device, a mutual data index of a sensor data using a first ML model. Further, the method includes recognizing whether the sensor data corresponds to an object touch or a non-object touch based on the mutual data index. Further, the method includes performing, by the electronic device, one of detecting that the electronic device is in a pocket mode and providing an object touch notification on a touch screen of the electronic device in response to determining that the sensor data corresponds to the object touch, and recognizing whether the sensor data corresponds to an accidental touch or a non-accidental touch using at least one second ML model based on touch data in response to determining that the sensor data corresponds to the non-object touch.

Abstract: A method for preventing data leakage may include: identifying data that is generated by at least one framework application in response to a data request from a first machine learning (ML) engine of a plurality of ML engines; creating a plurality of data blocks based on the generated data, a category of the first ML engine, and a tag associated with the first ML engine and the at least one framework application; determining whether the plurality of data blocks are valid to share with the first ML engine using an activity block chain associated with each of the plurality of framework applications; based on the plurality of data blocks being valid, sharing the plurality of data blocks with the first ML engine, and otherwise discarding the plurality of data blocks not to share with the first ML engine.

Abstract: An electronic device for controlling a brightness of a light source and an operating method of the electronic device are provided. According to the electronic device and the operating method, an image including an ambient environment of a light source is captured, information of an exposure of the captured image is obtained, information about a brightness of the ambient environment of the light source is determined based on the information about the exposure, and a brightness of the light source is controlled based on the determined information about the brightness of the ambient environment.

Abstract: A method of battery management of an electronic device, the electronic device, and a non-transitory computer readable recording medium are provided. The method includes detecting, by the electronic device, that a battery management criterion is met, enabling at least one of a plurality of battery management functions, in response to detecting that the battery management criterion is met, and performing at least one action corresponding to the enabled at least one of the plurality of the battery management functions.

Abstract: A method for accidental touch prediction using machine learning (ML) classification is provided. The method includes determining, by an electronic device, a mutual data index of a sensor data using a first ML model. Further, the method includes recognizing whether the sensor data corresponds to an object touch or a non-object touch based on the mutual data index. Further, the method includes performing, by the electronic device, one of detecting that the electronic device is in a pocket mode and providing an object touch notification on a touch screen of the electronic device in response to determining that the sensor data corresponds to the object touch, and recognizing whether the sensor data corresponds to an accidental touch or a non-accidental touch using at least one second ML model based on touch data in response to determining that the sensor data corresponds to the non-object touch.

Abstract: A method for determining a proximity of at least one object using an electronic device is provided. The method includes obtaining hover data from a touch panel of the electronic device. Further, the method includes determining at least one of a first hover or a second hover based on the hover data of the at least one object obtained for the touch panel. Further, the method includes determining the proximity of the at least one object to the touch panel of the electronic device based on at least one of the first hover or the second hover.

Abstract: A method of processing an image in an electronic device. The method may comprise; obtaining a first image; selecting, based on comparing the first image with a plurality of second images, at least one third image from the plurality of second images, wherein the at least one third image is similar to the first image; identifying an identifier of an image group corresponding to the at least one third image; associating the first image with the identifier of the image group; and notifying, on the device, based on the identifier of the image group, existence of the at least one third image.

Abstract: According to an embodiment, there is provided an electronic device comprising: a memory storing instructions; and at least one processor configured to execute the instructions to: generate state information regarding a device state of the electronic device of a first user and communication information regarding communications of the first user with a second user; transmitting the state information and the communication information to a server or an electronic device of the second user, wherein the state information and the communication information are used to determine communication availability of the first user and to provide the second user with information regarding the communication availability of the first user.

Abstract: A method of managing applications installed on a computing device and a computing device using the method are provided. The method includes identifying at least one application based on usage data of the computing device, fetching archive data and user data corresponding to the at least one application, creating backup data by correlating the archive data with the user data, and uninstalling the at least one application from the computing device once the creating of the backup data is completed.

Abstract: An electronic device for controlling a brightness of a light source and an operating method of the electronic device are provided. According to the electronic device and the operating method, an image including an ambient environment of a light source is captured, information of an exposure of the captured image is obtained, information about a brightness of the ambient environment of the light source is determined based on the information about the exposure, and a brightness of the light source is controlled based on the determined information about the brightness of the ambient environment.

Abstract: A method of processing an image in an electronic device. The method may comprise; obtaining a first image; selecting, based on comparing the first image with a plurality of second images, at least one third image from the plurality of second images, wherein the at least one third image is similar to the first image; identifying an identifier of an image group corresponding to the at least one third image; associating the first image with the identifier of the image group; and notifying, on the device, based on the identifier of the image group, existence of the at least one third image.

Abstract: A method of managing applications installed on a computing device and a computing device using the method are provided. The method includes identifying at least one application based on usage data of the computing device, fetching archive data and user data corresponding to the at least one application, creating backup data by correlating the archive data with the user data, and uninstalling the at least one application from the computing device once the creating of the backup data is completed.

Abstract: A method of battery management of an electronic device, the electronic device, and a non-transitory computer readable recording medium are provided. The method includes detecting, by the electronic device, that a battery management criterion is met, enabling at least one of a plurality of battery management functions, in response to detecting that the battery management criterion is met, and performing at least one action corresponding to the enabled at least one of the plurality of the battery management functions.

Abstract: This disclosure pertains to techniques for intelligent selection of a currency preference for a user and conversion of monetary values to the preferred currency for transactions entered into by the user. The conversion is performed using a firm exchange rate that is derived from a market exchange rate, but guaranteed for a period of time during which the transaction is anticipated to be completed.