The Internet of Things (IoT) has radically changed the industrial world, enabling the
integration of numerous systems and devices into the industrial ecosystem. There are many …

This Perspective explores the integration of machine learning potentials (MLPs) in the
research of heterogeneous catalysis, focusing on their role in identifying in situ active sites …

Bat Algorithm (BA) is a nature-inspired metaheuristic search algorithm designed to efficiently
explore complex problem spaces and find near-optimal solutions. The algorithm is inspired …

The emergence of artificial intelligence (AI) has transformed global business, aiding
operational efficiency and innovation. It utilizes machine learning and big data analytics …

The advent of the cloud computing paradigm has enabled innumerable organizations to
seamlessly migrate, compute, and host their applications within the cloud environment …

Deployable structures designed through diverse methodologies have become crucial in
contemporary engineering applications. Despite their distinct advantages, the exploration of …

Photosynthesis (a key ecological process) is measured based on gross primary productivity
(GPP), emphasizing the criticality of accurate GPP estimation to climate change research …

With the development of the future wireless communication technology and the Internet of
Things (IoT), the digital twin (DT) system has become a new enabler for high-efficiency …

Fog Computing has emerged as a pivotal technology for enabling low-latency, context-
aware, and efficient computing at the edge of the network. Effective task scheduling plays a …

To tackle the shortcomings of the Dung Beetle Optimization (DBO) Algorithm, which include
slow convergence speed, an imbalance between exploration and exploitation, and …