In the past few decades, metaheuristics have demonstrated their suitability in addressing
complex problems over different domains. This success drives the scientific community …

Abstract Salp Swarm Algorithm (SSA) is a recent metaheuristic inspired by the swarming
behavior of salps in oceans. SSA has demonstrated its efficiency in various applications …

Kernel extreme learning machine (KELM) has been widely used in the fields of classification
and identification since it was proposed. As the parameters in the KELM model have a …

Since its introduction, kernel extreme learning machine (KELM) has been widely used in a
number of areas. The parameters in the model have an important influence on the …

The feedforward neural network based on randomization has been of great interest in the
scientific community, particularly extreme learning machines, due to its simplicity, training …

Autism spectrum disorder (ASD) is a lifelong neurological condition that affects how a
person interacts and learns. The early and accurate diagnosis of ASD is vital to developing a …

Predictions of Significant wave height (Hs) of oceans is highly required in advance for
coastal and ocean engineering applications. Therefore, this study aims to precisely predict …

The Flexible alternating current transmission systems (FACTS) is considered one of the most
developed technologies applied for enhancing the performance of system due to their ability …

Abstract The Extreme Learning Machine is a single-hidden-layer feedforward learning
algorithm, which has been successfully applied in regression and classification problems in …

Accurate and real-time product demand forecasting is the need of the hour in the world of
supply chain management. Predicting future product demand from historical sales data is a …