A kidney stone is a solid formation that can lead to kidney failure, severe pain, and reduced
quality of life from urinary system blockages. While medical experts can interpret kidney …

Consensus-based time synchronization (CBTS) schemes, characterized by high robustness
and scalability, have been widely studied in recent years. However, these schemes suffer …

Reinforcement learning is a remarkable aspect of the artificial intelligence field with many
applications. Reinforcement learning facilitates learning new tasks based on action and …

Facial expressions vary with different health conditions, making a facial expression
recognition (FER) system valuable within a healthcare framework. Achieving accurate …

A significant number of individuals are facing mental health issues due to a lack of timely
treatment and support for detecting depression. This lack of early treatment is a primary …

In the rapidly evolving landscape of transportation infrastructure, the quality and condition of
road networks play a pivotal role in societal progress and economic growth. In the realm of …

In order to achieve precise respiratory therapy for mechanically ventilated patients, real-time
monitoring of the state parameters of inhaled and exhaled gases is required. These …

From practical considerations, crisp sensor measurements are associated with tolerance
value. Thus, the sensor measurements lead to intervals. Researchers proposed M, F, Ω, and …

ABSTRACT Wireless Sensor Network (WSN) has been exploited in numerous regions which
can be hardly accessed by humans. However, it is essential to convey the information …

This paper proposes a novel fuzzy logic controller (FLC) based model referred to as FBM to
detect both the DDoS and the Sybil attacks in VANET using an intelligent fuzzy logic …