Due to the prompt expansion and development of intelligent systems and autonomous,
energy-aware sensing devices, the Internet of Things (IoT) has remarkably grown and …

Medication nonadherence is a significant public health concern that leads to ineffective
treatment, which in turn engenders complications such as increased morbidity risks …

Feature Selection, a critical data preprocessing step in machine learning, is an effective way
in removing irrelevant variables, thus reducing the dimensionality of input features …

Chloride diffusion coefficient is an important durability indicator in durability design of
concrete structure according to performance-based approach. However, this indicator is …

With simple connectivity and fast-growing demand of smart devices and networks, IoT has
become more prone to cyber attacks. In order to detect and prevent cyber attacks in IoT …

The need for artificial intelligence (AI) and machine learning (ML) models to optimize data
center (DC) operations increases as the volume of operations management data upsurges …

The World Wide Web services are essential in our daily lives and are available to
communities through Uniform Resource Locator (URL). Attackers utilize such means of …

Breast cancer is one of the deadliest diseases in women and its incidence is growing at an
alarming rate. However, early detection of this disease can be life-saving. The rapid …

Various machine learning (ML) techniques have been recommended and used in the
literature to produce landslide susceptibility map (LSM). On the other hand, feature …

Cancer can be considered as one of the leading causes of death widely. One of the most
effective tools to be able to handle cancer diagnosis, prognosis, and treatment is by using …