The accuracy of Electroencephalogram (EEG) signal-based epileptic seizure identification is often compromised by poor fe...
As one such process, opinion mining carries immense significance in deriving actionable insights from textual informatio...
Since the onset of the COVID-19 pandemic, more than 700 million people have been impacted by the disease, and more than...
In AI-assisted learning environments, the capacity to effectively extract and summarize educational content is critical...
The most traditional and popular biometric identification method is based on fingerprints. Everybody has a set of unchan...
Molecular Communication has emerged as a prominent area of research, particularly for drug-based medical therapies. Nano...
Underwater Wireless Sensor Networks (UWSNs) play an essential role in marine observation and data gathering. However, en...
Depending on the mammoth size of the hyperspectral image, the wavelet transform-based compression algorithm has achieved...
Automated seizure detection faces critical challenges in generalizing across age-specific EEG patterns, particularly for...
In traditional bulk MOSFETs, the MOSFET dimensions shrink below the 90 nm barrier, and Short-Channel Effects (SCE) emerg...