Abstract In the development of data-driven models for streamflow forecasting, choosing appropriate input variables is crucial.Although random forest (RF) has been successfully applied to streamflow forecasting for input variable selection (IVS), comparative analysis of different random forest-based IVS (RF-IVS) methods is yet absent.Here, we invest
In this paper, we propose a new distance metric for the K-means clustering algorithm.Applying this metric in clustering a dataset, forms unequal clusters.This metric leads to a larger size for a cluster with a centroid away from the origin, rather than a cluster closer to the origin.The proposed metric is based on the Canberra distances and it is u
The main purpose of this empirical study is to explore the entrepreneurial self-efficacy, and entrepreneurial competency as antecedents to the entrepreneurial intentions in smart city of Neom Saudi Arabia.Additionally, the study has also examined the mediating role of entrepreneurial education on artificial intelligence in the relationship between
This paper presents a reconfigurable digital implementation of an event-based binaural cochlear system Melatonin Kids gummies on a Field Programmable Gate Array (FPGA).It consists of a pair of the Cascade of Asymmetric Resonators with Fast Acting Compression (CAR-FAC) cochlea models and leaky integrate-and-fire (LIF) neurons.Additionally, we propos
Harnessing the power of vortices shed in the wake of bluff bodies is indeed a boon to society in the face of fuel crisis.This fact serves as an impetus to develop a device called a hydro vortex power generator (HVPG), comprised of an elastically mounted cylinder that is free Water Tank Assembly to oscillate in the cross-flow (CF) direction even in