Abstract: A method, computer-readable medium, and apparatus for classifying IP network traffic are disclosed. For example, a method may include a processor for applying a regularized probabilistic model to internet protocol network traffic for performing geolocation, wherein the internet protocol network traffic contains internet protocol address information, detecting an outlier in the internet protocol network traffic, wherein the outlier is associated with a transaction over a network, and performing a remedial action to address the outlier.

Abstract: Aspects of the subject disclosure may include, for example, embodiments include receiving first user-generated input from a recruiter device. The recruiter device is associated with a manager of a group. Further embodiments include generating a first smart contract between an applicant and the manager according to the first user-generated input. The generating of the first smart contract comprises generating the first smart contract on a blockchain. Additional embodiments can include providing the applicant access to the group according to the first smart contract, receiving second user-generated input from the recruiter device, and generating a second smart contract between a record keeper and the manager according to the second user-generated input. The generating of the second smart contract comprises generating the second smart contract on the blockchain. Also, embodiments can include providing the record keeper access to the group according to the second smart contract. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, embodiments include receiving first user-generated input from a recruiter device. The recruiter device is associated with a manager of a group. Further embodiments include generating a first smart contract between an applicant and the manager according to the first user-generated input. The generating of the first smart contract comprises generating the first smart contract on a blockchain. Additional embodiments can include providing the applicant access to the group according to the first smart contract, receiving second user-generated input from the recruiter device, and generating a second smart contract between a record keeper and the manager according to the second user-generated input. The generating of the second smart contract comprises generating the second smart contract on the blockchain. Also, embodiments can include providing the record keeper access to the group according to the second smart contract. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, monitoring interaction(s) between user(s) and agent(s), detecting a shift in the user's attitude, and identifying either a positive shift or a negative shift based on an analysis of the shift. The method may include tracking an outcome of each of the interactions, analyzing the interactions and outcomes, and producing training materials for use by the agent based on the analysis, the training materials including suggestions as to how to reverse the negative shift in future interactions. The method may include presenting the suggestions to the agent during the interaction(s), thereby assisting the agent in resolving the user's attitude and/or concerns. Other embodiments are disclosed.

Abstract: A method, computer-readable medium, and apparatus for classifying IP network traffic are disclosed. For example, a method may include a processor for applying a regularized probabilistic model to internet protocol network traffic for performing geolocation, wherein the internet protocol network traffic contains internet protocol address information, detecting an outlier in the internet protocol network traffic, wherein the outlier is associated with a transaction over a network, and performing a remedial action to address the outlier.

Abstract: Aspects of the subject disclosure may include, for example, monitoring interaction(s) between user(s) and agent(s), detecting a shift in the user's attitude, and identifying either a positive shift or a negative shift based on an analysis of the shift. The method may include tracking an outcome of each of the interactions, analyzing the interactions and outcomes, and producing training materials for use by the agent based on the analysis, the training materials including suggestions as to how to reverse the negative shift in future interactions. The method may include presenting the suggestions to the agent during the interaction(s), thereby assisting the agent in resolving the user's attitude and/or concerns. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, embodiments include receiving first user-generated input from a recruiter device. The recruiter device is associated with a manager of a group. Further embodiments include generating a first smart contract between an applicant and the manager according to the first user-generated input. The generating of the first smart contract comprises generating the first smart contract on a blockchain. Additional embodiments can include providing the applicant access to the group according to the first smart contract, receiving second user-generated input from the recruiter device, and generating a second smart contract between a record keeper and the manager according to the second user-generated input. The generating of the second smart contract comprises generating the second smart contract on the blockchain. Also, embodiments can include providing the record keeper access to the group according to the second smart contract. Other embodiments are disclosed.

Abstract: A method according to the invention separates multiple audio signals recorded as a mixed signal via a single channel. The mixed signal is A/D converted and sampled. A sliding window is applied to the samples to obtain frames. The logarithms of the power spectra of the frames are determined. From the spectra, the a posteriori probabilities of pairs of spectra are determined. The probabilities are used to obtain Fourier spectra for each individual signal in each frame. The invention provides a minimum-mean-squared error metho or a soft mask method for making this determination. The Fourier spectra are inverted to obtain corresponding signals, which are concatenated to recover the individual signals.