The multimodal biometric system based on palm print (PP), finger geometry (FG) and dorsal palm vein (DPV) modality is proposed, specifically for high-security applications. This paper aims to prove that the proposed ...

The most common type of dementia is Alzheimer’s disease (AD). It is critical to identify the AD at the stage of Mild Cognitive Impairment (MCI) in early. If it is possible to early identification, then it has more chance ...

This study investigates non-orthogonal multiple access (NOMA) receivers based on deep learning (DL) employing the long-short term memory technique (LSTM) over frequency-flat Rayleigh distributed fading links. The fading ...

Though the machine learning techniques were being used in Assamese Language Automatic Speech Recognition (ALASR) system over the last five years, but the applications of Convolutional Neural Network (CNN) are very limited ...

Complaints related to accidental and incident cases are not updated effectively in online databases especially by Private and Government hospitals, due to which the information details of such victims are missing. The ...

Age estimation has become very important for many organizations and human endeavour. Traditional machine learning methods have previously been deployed in previous times by many researchers to solve this problem automatically. ...

The recovery of the transmitted signals, propagated through wireless communication channels, is a complicated process due to the distortion and interference impairments in such random channels. However, the channel effect ...

Ball trajectory data is a vital and important aspect when it comes to evaluating player performance and analyzing game strategies. It is a strenuous task to identify the position of a fast-moving tiny ball or cork accurately ...

Internet of Things (IoT) systems have gained huge popularity in the past decade. This technology is developing as a back boon from the day-to-day utility in smart homes to intelligent power grids. It has become ubiquitous ...

In this paper, we make a comparative study of fuzzy logic and boolean logic energy management strategies (EMSs) for an hybrid electric vehicle (HEV) with parallel architecture made up mainly of an electric motor (EM) and ...