Southwest Pacific nations are highly vulnerable to extreme weather and climate events, particularly those associated with synoptic-scale systems such as tropical cyclones (TCs) and depressions (TDs).This study utilises the Okubo–Weiss–Zeta parameter (OWZP) method to reconstruct historical records of both TCs and TDs for the South Pacific basin
The Influence of Empowerment towards Agricultural Business Actors’ Ability in Surakarta, Indonesia
The situation of micro, small, and medium enterprises (MSMEs) in agriculture in Surakarta after the pandemic are still worrying; thus, effective empowerment efforts are needed to revive and develop MSMEs in agriculture.Empowerment will be maximally successful if various resources are available for its implementation.This study aimed to directly and
Reliable task allocation for soil moisture wireless sensor networks using differential evolution adaptive elite butterfly optimization algorithm
Wireless sensor technology advancements have made soil moisture wireless sensor networks (SMWSNs) a vital component of precision agriculture.However, the humidity nodes in SMWSNs have a weak ability in information collection, storage, calculation, etc.Hence, it is essential to reasonably pursue task allocation for SMWSNs to improve the network bene
A Novel Multi-Objective Binary Chimp Optimization Algorithm for Optimal Feature Selection: Application of Deep-Learning-Based Approaches for SAR Image Classification
Removing redundant features and improving classifier performance necessitates the use of meta-heuristic and deep learning (DL) algorithms in feature selection and classification problems.With the maturity of DL tools, many data-driven polarimetric synthetic aperture radar (POLSAR) representation models have been suggested, most of which are based o