This paper proposes a machine-learning model for earthquake prediction. Earthquakes are
complex and unpredictable natural phenomena, making it challenging to predict them …

The paper suggests utilizing data mining and machine learning approaches to diagnose
chronic diseases due to their cost-effectiveness and ability to analyse large amounts of …

Human gait is an essential biometric feature in the area of computer vision research. Over
the past ten years, there has been a growing demand for a non-contact biometric approach …

In recent years, skin conditions have become a serious danger to livestock productivity,
resulting in significant financial losses and health problems f or both humans and animals …

SSDs based on NAND flash are becoming a feasible secondary storage option for many
computer systems. Because NAND flash memory is dif-ferent from regular HDDs, flash …

In the fast-paced competitive environment, cloud computing is developing satisfactory
interest in the community of scientific applications. For executing complex data sets of …

The chapter explores stress, resilience, and brain functioning. Understanding stress's
intricate relationship with cognitive function requires understanding the brain's response …

Earthquake impacts affect offshore wind farms in seismically active places. Seismic analysis
of a monopile offshore wind turbine in various configurations is done in this paper. A finite …

Analyzing big data, especially medical data, helps to provide good health care to patients
and face the risks of death. The COVID-19 pandemic has had a significant impact on public …

ABSTRACT A computational investigation has been carried out to investigate the inverse
design problem for a magnetic projector lenses. Actually, an analytical expression has …