The exponential distribution optimizer (EDO) represents a heuristic approach, capitalizing
on exponential distribution theory to identify global solutions for complex optimization …

The field of nature inspired algorithm (NIA) is a vital area of research that consistently aids in
solving optimization problems. One of the metaheuristic algorithm classifications that has …

The substantial resource usage required to create ample scenarios for testing Autonomous
Vehicles (AV) presents a bottleneck in their implementation. At present, research relies on …

Abstract According to the Global Climate Risk Index, Pakistan is the fifth most vulnerable
nation in the world to climate change. The growing phenomena of climate change and …

Nanotechnology has increased electric vehicle (EV) battery production, efficiency and use.
Nanotechnology is explored in this electric car battery illustration. Nanoscale materials and …

This research introduces a novel multi-objective adaptation of the Geometric Mean
Optimizer (GMO), termed the Multi-Objective Geometric Mean Optimizer (MOGMO). MOGMO …

The growing number of individual vehicles and intelligent transportation systems have
accelerated the development of Internet of Vehicles (IoV) technologies. The Internet of …

Advancing in communication systems requires nearby devices to act as networks when
devices are not in use. Such technology is mobile edge computing, which provides …

This research introduces a unified power quality conditioner (UPQC) that integrates solar
photovoltaic (PV) system and battery energy systems (SBES) to address power quality (PQ) …

Integrating renewable energy sources, such as wind and photovoltaic power generation,
into the power grid is crucial for sustainable power system development and mitigating …