Abstract: Disclosed is a device for facilitating optimizing of a network connection established between the device and one or more servers through at least one network. Further, the device comprises at least one network connection interface configured for establishing the network connection with the one or more servers. Further, the device comprises at least one monitor configured for collecting at least one network information associated with the at least one network connection interface. Further, the device comprises at least one optimizer communicatively coupled with the at least one monitor. Further, the at least one optimizer is configured for profiling each frequency channel of a plurality of frequency channels associated with the at least one network connection interface, determining at least one optimal frequency channel of the plurality of frequency channels based on the profiling and determining at least one optimal communication layer parameter of at least one communication layer based on the profiling.

Abstract: Disclosed is a device for facilitating optimizing of a network connection established between the device and one or more servers through at least one network. Further, the device comprises at least one network connection interface configured for establishing the network connection with the one or more servers. Further, the device comprises at least one monitor configured for collecting at least one network information associated with the at least one network connection interface. Further, the device comprises at least one optimizer communicatively coupled with the at least one monitor. Further, the at least one optimizer is configured for profiling each frequency channel of a plurality of frequency channels associated with the at least one network connection interface, determining at least one optimal frequency channel of the plurality of frequency channels based on the profiling and determining at least one optimal communication layer parameter of at least one communication layer based on the profiling.

Abstract: A processor receives time series data and a function describing a type of dependency that is desired to be determined from the time series data. A probe matrix is determined based upon the function. A weight matrix including a plurality of weights is determined, and a weighted probe matrix is determined based upon the probe matrix and the weighted matrix. The time series data and the weighted probe matrix is input into a neural network, and the neural network is trained using the time series data and the weighted probe matrix to converge the plurality of weights in the weight matrix. The converged weight matrix is extracted from an output of the neural network, and dependencies in the time series data are determined based upon the converged weight matrix.