Abstract: A method for enhancing a Quality of Experience (QoE) index, by a wearable device, for a user in an Internet of things (IoT) network comprising a plurality of IoT devices is provided. The method includes monitoring the QoE index of the user in the IoT network, detecting a drop in the QoE index of the user, determining whether the dropped QoE index is less than a QoE threshold, in response to determining that the dropped QoE index is less than the QoE threshold, determining at least one IoT device from the plurality of IoT devices that is responsible for the drop in the QoE index of the user using an Artificial intelligence (AI) model, and controlling the IoT device(s) to raise the QoE index of the user above the QoE threshold.

Abstract: A method for enhancing a Quality of Experience (QoE) index, by a wearable device, for a user in an Internet of things (IoT) network comprising a plurality of IoT devices is provided. The method includes monitoring the QoE index of the user in the IoT network, detecting a drop in the QoE index of the user, determining whether the dropped QoE index is less than a QoE threshold, in response to determining that the dropped QoE index is less than the QoE threshold, determining at least one IoT device from the plurality of IoT devices that is responsible for the drop in the QoE index of the user using an Artificial intelligence (AI) model, and controlling the IoT device(s) to raise the QoE index of the user above the QoE threshold.

Abstract: Embodiments herein disclose systems and methods for determining defect in visual field of a user. The present disclosure relates to field of medical analysis and diagnostics and more particularly relates to systems and methods for determining neurological visual diseases of the user by using the Virtual Reality (VR) display device such as a Head Mounted Display (HMD) device. The method includes providing visual stimuli along with a center weighted object to test the neurological visual disease of the user. The method includes generating a heat map or a graph to display region of blind spot in the eye of user.

Abstract: Methods and devices for clustering a plurality of sub-networks of a larger interaction network using an enhanced hierarchical clustering algorithm are disclosed. The methods provide expression based sub-network generation using differentially expressed markers. The enhanced hierarchical clustering algorithm clusters the generated sub-networks based on a user defined customizable similarity coefficient. The methods use non-Boolean links to cluster similar sub-networks. This provides consideration of indirect relationships among sub-networks. The customizable similarity coefficient enables the methods to be used for diverse applications such as biomarker detection, patient stratification, personalized therapy, drug efficacy prediction, genetic similarity analysis in genetic diseases. The methods enable patient grouping based on the enhanced hierarchical clustering algorithm.

Abstract: Methods and devices for clustering a plurality of sub-networks of a larger interaction network using an enhanced hierarchical clustering algorithm are disclosed. The methods provide expression based sub-network generation using differentially expressed markers. The enhanced hierarchical clustering algorithm clusters the generated sub-networks based on a user defined customizable similarity coefficient. The methods use non-Boolean links to cluster similar sub-networks. This provides consideration of indirect relationships among sub-networks. The customizable similarity coefficient enables the methods to be used for diverse applications such as biomarker detection, patient stratification, personalized therapy, drug efficacy prediction, genetic similarity analysis in genetic diseases. The methods enable patient grouping based on the enhanced hierarchical clustering algorithm.

Abstract: Systems and methods for creating an image target and performing for diagnostic testing and for of an image capture device include choosing a pattern appropriate for image testing; embedding the pattern into a reversible domain; adding a random phase component in the reversible domain; transforming the pattern from the reversible domain to an inverse of the reversible domain; and producing an image target for testing the image capture device from the transformed pattern. A method for testing an image capture device includes receiving image data representative of a photographic image of a target image captured by the image capture device; transforming the image data into a reversible domain to detect one or more patterns embedded in the reversible domain of the target image; and comparing the reversible domain image data with the one or more geometric patterns embedded in the reversible domain.