Search Results

The use of artificial intelligence in healthcare applications offers significant accuracy and utility for medical practitioners and patients. Deep learning has made a substantial positive impact on the healthcare industry by reducing the use of ...

The detection of epileptic seizures is key for neurologists to initiate the right treatment at the earliest. However, the traditional methods are dependent on manual diagnosis which are error-prone. Hence, the current article presents an ...

• Obtained competing evaluation score relative to SOTA methods using ML methods.
• Competing score reported for interictal-preictal based classification of EEG data.
• EEG classification is performed in the sensing time domain itself.

The purpose of the paper is to examine the influence of the mediating role of consumption-oriented social networking site (SNS) usage on fear of missing out (FOMO) and social comparison. This descriptive study was conducted amongst a sample of 737 SNS ...

The present paper proposes Random Kitchen Sink based music/speech classification. The temporal and spectral features such as spectral centroid, Spectral roll-off, spectral flux, Mel-frequency cepstral coefficients, entropy, and Zero-crossing rate are ...

Proper machine condition monitoring is really crucial for any industrial and mechanical systems. The efficiency of mechanical systems greatly relies on rotating components like shaft, bearing and rotor. This paper focuses on detecting different fault in ...

One of the major problems power grids system face today is the inability to continuously deliver power at the consumer side. The main reason for this is the occurrence of faults and its long term persistence within the system. This persistence of faults ...