Recently, various sophisticated methods, including machine learning and artificial
intelligence, have been employed to examine health-related data. Medical professionals are …

Falls are unusual actions that cause a significant health risk among older people. The
growing percentage of people of old age requires urgent development of fall detection and …

Machine Learning (TinyML) is an upsurging research field that proposes to democratize the
use of Machine Learning and Deep Learning on highly energy-efficient frugal …

Recently, the huge amounts of data and its incremental increase have changed the
importance of information security and data analysis systems for Big Data. Intrusion …

Classification is a data mining technique used to predict group membership for data
instances within a given dataset. It is used for classifying data into different classes by …

The exponential growth of network complexity and data volume in modern digital
ecosystems has underscored the need for innovative approaches to optimize network …

Data mining is a process of inferring knowledge from such huge data. Data Mining has three
major components Clustering or Classification, Association Rules and Sequence Analysis …

Classification is used to find out in which group each data instance is related within a given
dataset. It is used for classifying data into different classes according to some constrains …

The centrifugal air compressor plays a critical role as a core component in fuel cells, and
building an accurate prediction model is essential for evaluating its performance. In this …

The Zero-touch network and Service Management (ZSM) framework represents an
emerging paradigm in the management of the fifth-generation (5G) and Beyond (5G+) …