Speech enhancement is the task of taking a noisy speech input and producing an enhanced output. In recent years, need for has been increased due to challenges that occurred in various applications such as hearing aids, Automatic Recognition (ASR), mobile communication systems. Most Enhancement research work carried out English, Chinese, other European languages. Only few works involve Indian re...

Time-lapse seismic data acquisition is an essential tool to monitor changes in a reservoir due fluid injection, such as CO 2 injection. By acquiring multiple surveys the exact same location, authors can identify by analyzing difference data. However, analysis be skewed near-surface seasonal velocity variations, inaccuracy, and repeatability parameters, other inevitable noise. The common practic...

Mobile online gaming is constantly growing in popularity and expected to be one of the most important applications upcoming sixth generation networks. Nevertheless, it remains challenging for game providers support it, mainly due its intrinsic ever-stricter need service continuity presence user mobility. In this regard, paper proposes a machine learning strategy forecast channel conditions, aim...

Interactive, immersive virtual environments allows observers to move freely about computer generated 3D objects and to explore new environments. The e ectiveness of these environments is dependent upon the graphics used to model reality and the end-to-end lag time (i.e., the delay between a user's action and the display of the result of that action). In this paper we focus on the latter issue, ...

Weather forecasting is a challenging time series forecasting problem because of its dynamic, continuous, data-intensive, chaotic and irregular behavior. At present, enormous time series forecasting techniques exist and are widely adapted. However, competitive research is still going on to improve the methods and techniques for accurate forecasting. This research article presents the time series...

We investigate the capacity of a type of discrete-time recurrent neural network, called timedelay recurrent neural network, for storing spatio-temporal sequences. By introducing the order of a spatio-temporal sequence, the match law between a time-delay recurrent neural network and a spatio-temporal sequence has been established. It has been proved that the full order time-delay recurrent neura...