Abstract: Disclosed are computerized systems and methods for a decision intelligence (DI)-based framework that automatically and/or dynamically provides mechanisms for managing, optimizing and configuring a WiFi network at a location. The framework provides network management utilizing edge processing capabilities to bridge local WiFi and cloud systems. The framework implements comprehensive device typing through multi-layered analysis combining passive monitoring, deep packet inspection and hybrid deterministic-probabilistic classification methods. State synchronization between local and cloud networks can be achieved through hierarchical data modeling and differential synchronization algorithms. The framework can implement advanced features that include automated channel optimization, QoS management, and security monitoring.

Abstract: Disclosed are computerized systems and methods for a decision intelligence (DI)-based framework that automatically and/or dynamically provides mechanisms for managing, optimizing and configuring a WiFi network at a location. The framework provides network management utilizing edge processing capabilities to bridge local WiFi and cloud systems. The framework implements comprehensive device typing through multi-layered analysis combining passive monitoring, deep packet inspection and hybrid deterministic-probabilistic classification methods. State synchronization between local and cloud networks can be achieved through hierarchical data modeling and differential synchronization algorithms. The framework can implement advanced features that include automated channel optimization, QoS management, and security monitoring.

Abstract: Disclosed are computerized systems and methods for a decision intelligence (DI)-based framework that automatically and/or dynamically provides mechanisms for managing, optimizing and configuring a WiFi network at a location. The framework provides network management utilizing edge processing capabilities to bridge local WiFi and cloud systems. The framework implements comprehensive device typing through multi-layered analysis combining passive monitoring, deep packet inspection and hybrid deterministic-probabilistic classification methods. State synchronization between local and cloud networks can be achieved through hierarchical data modeling and differential synchronization algorithms. The framework can implement advanced features that include automated channel optimization, QoS management, and security monitoring.

Abstract: Disclosed are computerized systems and methods for a decision intelligence (DI)-based framework that automatically and/or dynamically provides mechanisms for managing, optimizing and configuring a WiFi network at a location. The framework provides network management utilizing edge processing capabilities to bridge local WiFi and cloud systems. The framework implements comprehensive device typing through multi-layered analysis combining passive monitoring, deep packet inspection and hybrid deterministic-probabilistic classification methods. State synchronization between local and cloud networks can be achieved through hierarchical data modeling and differential synchronization algorithms. The framework can implement advanced features that include automated channel optimization, QoS management, and security monitoring.

Abstract: Disclosed herein are compounds of the formula: wherein the variables are defined herein. Also provided are pharmaceutical compositions thereof. In some aspects, the compounds and compositions provided herein may be used as antioxidant inflammation modulators. In some aspects, the present disclosure provides methods wherein the compounds and composition described herein are used for the treatment of diseases and disorders, including those associated with inflammation and cancer.

Abstract: Disclosed are systems and methods that provide a decision-intelligence (DI)-based, computerized framework for advanced device naming and localization of Wi-Fi connected devices at a location. The disclosed framework operates to manage, control and/or manipulate devices on a Wi-Fi network, which provides intuitive mechanisms to select devices to name, group and/or locate in a WiFi app with WiFi motion and/or detected gesture(s) by leveraging voting and ranking mechanisms via a compiled cross-correlation matrix of channel frequency response (CFR) motion signatures and/or channel state information (CSI) motion signatures. Accordingly, motion signature information can be leveraged to control, enable and/or permit Wi-Fi connections among and/or between devices at a location.

Abstract: Disclosed herein are compounds of the formula: wherein the variables are defined herein. Also provided are pharmaceutical compositions thereof. In some aspects, the compounds and compositions provided herein may be used as antioxidant inflammation modulators. In some aspects, the present disclosure provides methods wherein the compounds and composition described herein are used for the treatment of diseases and disorders, including those associated with inflammation and cancer.

Abstract: An access point of a wireless communication network may be configured to receive a solicited wireless communication from an electronic device in response to a request, the solicited wireless communication being transmitted by the electronic device over a channel of the wireless communication network. The access point may extract channel characteristics from the solicited wireless communication, the channel characteristics being timing-dependent effects on the channel associated with the solicited wireless communication. The access point may generate a device fingerprint based at least in part on the channel characteristics, the device fingerprint being specific to hardware of the electronic device. Using the device fingerprint, the access point or another device may determine an identification, indicative of at least one of an identity or a device type, of the electronic device based on a stored device profile representative of at least one authenticated electronic device.

Abstract: In some implementations, the techniques described herein relate to a method including: classifying motion data and network device usage data in a networked environment; integrating the classified motion data and the network device usage data to create a combined dataset; processing the combined dataset to identify correlations between the motion data and the network device usage data; and using the identified correlations to predict an occupancy state of the environment.

Abstract: In some implementations, the techniques described herein relate to a method including: collecting, by a processor, Wi-Fi sense data (WSD) associated with a client device in a network, wherein the WSD includes wireless characteristics indicative of one of a movement or position of the client device; generating, by the processor, a movement signature for the client device based on the WSD; classifying, by the processor, a fine-grained type of the client device utilizing the movement signature; and storing, by the processor, the fine-grained type in a storage device.

Abstract: Disclosed herein are compounds of Formula (I-A), wherein the vari-ables are defined herein. Also provided are pharmaceutical compositions thereof. In some aspects, the compounds and compositions provided herein may be used as antioxidant inflammation modulators. In some aspects, the present disclosure provides methods wherein the compounds and composition described herein are used for the treatment of diseases and disorders associated with inflammation and cancer.

Abstract: In some aspects, the present disclosure provides compounds of the formula: (I) and (II), wherein the variables are defined herein. Also provided are pharmaceutical compositions thereof. In some aspects, the compounds and compositions provided herein may be used as antioxidant inflammation modulators. In some aspects, the present disclosure provides methods wherein the compounds and composition described herein are used for the treatment of diseases and disorders associated with inflammation and cancer.

Abstract: Disclosed herein are compounds of the formula: wherein the variables are defined herein. Also provided are pharmaceutical compositions thereof. In some aspects, the compounds and compositions provided herein may be used as antioxidant inflammation modulators. In some aspects, the present disclosure provides methods wherein the compounds and composition described herein are used for the treatment of diseases and disorders, including those associated with inflammation and cancer.

Abstract: A system and method for creating an index of native application content indexable by a search engine is disclosed herein. The system includes a content server, a web server, and a URL to native mobile application mapping database comprising a plurality of web content and a plurality of native mobile application content. The content server is configured to serve up the content as both a native mobile application and a web based application.