A hybridization of XGBoost machine learning model by Optuna hyperparameter tuning suite for cardiovascular disease classification with significant effect of outliers and heterogeneous training datasets.

Background: Over the last few decades: heart disease (HD) has emerged as one of the deadliest diseases in the world. Approximately more than 31 % of the population dies from HD each year. The Diagnosis of HD in an earlier stage is a cognitively challenging task due to the vast and complex availability of medical datasets.

Electroencephalogram based brain-computer interface: Applications, challenges, and opportunities.

Brain-Computer Interfaces (BCI) is an exciting and emerging research area for researchers and scientists. It is a suitable combination of software and hardware to operate any device mentally. This review emphasizes the significant stages in the BCI domain, current problems, and state-of-the-art findings.

Measurement of micro-harmonic vibration from optical feedback interferometry using wavelet trend analysis.

Self-mixed optical feedback interferometry based laser sensors show promising results in the measurement of the vibration frequency. To date several measurement methods have been developed to extract the vibration information from the self-mixed (SM) signal; however, the complexity and accuracy of the methods still need improvement. The presented work tries to fulfill the gap by realizing a novel method using maximal overlap discrete wavelet transformation (MODWT) and multi-resolution analysis (MRA).

Compact and self-aligned fluid refractometer based on the Doppler-induced self-mixing effect.

The refractive index is one of the key parameters in non-invasive and label-free sensing applications. The past decade has witnessed various miniature optofluidic devices that offer several analytical functions with minuscule samples (picoliter or nanoliter) through the fusion of optics and microfluidic sciences. However, the realization of a compact, wide-range, and less-expensive refractometer is still a great challenge.

FEM simulation of tapered cap floating sleeve antenna for hepatocellular carcinoma therapy.

Malignant liver tumors are the sixth most common and deadly cancer in the world and the third most common cause of cancer mortality. Hepatocellular carcinoma (primary liver cancer) is one of the most common malignancies worldwide with one of the highest mortality rates. Microwave ablation (MWA) is a new, promising, and multidisciplinary technology designed to destroy unhealthy tissue of various natures by radiating electromagnetic waves with microwave antennas.

Modeling and simulation of novel antenna for the treatment of hepatocellular carcinoma using finite element method.

In this article, new interstitial antenna operating at a frequency of 2.45 GHz for the treatment of hepatocellular carcinoma (HCC) using microwave ablation has been investigated. This antenna is basically an asymmetrical miniaturized choke dipole antenna with a pointed needle at the tip.