Elephant herding optimization (EHO) is a nature-inspired metaheuristic optimization
algorithm based on the herding behavior of elephants. EHO uses a clan operator to update …

With boosting of information technology, metaheuristics have gained considerable
popularity, besides a huge number of optimization problems arises in several fields …

Although the exploitation of GWO advances sharply, it has limitations for continuous
implementing exploration. On the other hand, the EHO algorithm easily has shown its …

Deep learning approaches based on convolutional neural networks (CNNs) have recently
achieved success in computer vision, demonstrating significant superiority in the domain of …

The recently proposed waveform called universal filtered multicarrier (UFMC) has already
managed to get the attention of science world due to its superior features and it has been …

Metaheuristic optimisation algorithms have become more well liked in recent years due to
their success in solving challenging optimisation problems. Only a few of the metaheuristic …

Response coordination design becomes an inevitable trend based on the multidisciplinary
optimization design (MOD) in the development of the design for complex mechanical …

Conventional and Non-Conventional Centralized power plants far from populations are
utilized to generate electric power and this electric power transmits from generating stations …

Breast cancer is a major disease diagnosed in women, affecting 2.1 million women every
year, and is the reason for most cancer-related mortality in women, as per the World Health …

This thesis is focused on modeling of the transport properties of helium-based cold plasma
in the interaction with nitrogen in the atmosphere. The main focus of this thesis is on …