This paper presents an extensive study of a new metaheuristics algorithm called Smell
Agent Optimization (SAO) on some CEC numerical optimization benchmark functions and …

The particle swarm optimization (PSO) algorithm is widely used for optimization purposes
across various domains, such as in precision agriculture, vehicular ad hoc networks, path …

This study presents a machine learning-based approach to forecast Allocative Localization
Error (ALE) in Wireless Sensor Networks (WSNs), addressing challenges such as dynamic …

The mechanical properties of concrete, such as compressive strength CS\left (CS\right) and
slump flow SL\left (SL\right) rates, are very nonlinear. For academics, it is crucial to forecast …

This paper implements an optimized solution to Over Current Relay Coordination (OCR)
using a new metaheuristics algorithm called Smell Agent Optimization (SAO). We first …

This paper introduces collaborative localization algorithms for wireless sensor networks
(WSNs) in outdoor environments without GPS. Using a limited number of beacons and …

The unconfined compressive strength (UCS) of stabilized soil with lime and cement is a
crucial mechanical factor in develo** accurate geomechanical models. In the past …

This paper presents an in-vehicle stereo vision system as a solution to accidents involving
large good vehicle due to blind spots using Nigeria as a case study. In this paper, a stereo …

Path testing is the most needed and useful coverage criterion in structural testing. Tracing
and obtaining the resultant paths is the main problem in path coverage testing. Evolutionary …

The gradual depletion of non-renewable energy sources accompanied by their social,
economical and environmental issues has given rise to the adaptation of renewable energy …