The deep learning technique uses speech recognition in many different applications, including voice assistants, authentication, audio transcriptions, etc. Children who are dyslexic, blind persons and those with impairments can all benefit from spoken digit recognition. goal of this paper is to create for the categorization digits 0 9 utilizing Convolution Neural Networks (CNN) Long Short -Term ...

The problem of attaining energy efficiency in distributed systems is importance, but a general, non-domain-specific theory energy-minimal scheduling far from developed. In this paper, we classify the problems and present theoretical foundations same. We derive results concerning independent jobs system with functionally similar machines different working idle power ratings. considered our can h...

Throughout cosmological simulations, the properties of matter density field in initial conditions have a decisive impact on features structures formed today. In this paper we use random-forest classification algorithm to infer whether or not dark particles, traced back conditions, would end up halos whose masses are above some threshold. This problem might be posed as binary task, where mapped ...

Parkinson's Disease (PD) is a persistent neurological condition that has global impact on significant number of individuals. The timely detection PD imperative for the efficacious treatment and control condition. Machine learning (ML) methods have demonstrated potential in forecasting disease based diverse data sources recent times. present research paper outlines study employs machine [ML]tech...