Accurate traffic flow prediction is a crucial step in building an intelligent transportation system, and it is of great significance for alleviating urban traffic congestion and optimizing travel routes. Due to the complex spatial topology of the transportation network and the highly nonlinear tempo...

This study proposes a novel hybrid deep learning framework that integrates a Large Language Model (LLM) with a Transformer architecture for stock price forecasting. The research addresses a critical theoretical gap in existing approaches that empirically combine textual and numerical data without a...

The acceleration of Industry 4.0 has compelled enterprises to integrate automation, cyber-physical systems, and analytics into everyday operations. Despite rapid digitalization, the effectiveness of these initiatives depends largely on the human capacity to accept and collaborate with machines. This...

ZSM-5 zeolite possesses a three-dimensional network of microporous channels formed by oxygen-linked Si and Al tetrahedra, which confers a high surface area, stability, and hydrophobic properties that increase with the Si/Al ratio. These characteristics make ZSM-5 a suitable material for the adsorpti...

To meet the efficiency and economy requirements of unmanned aerial vehicle (UAV) inspection for large watershed, long-distance and multi-measurement-point reservoirs, this paper focuses on the optimal allocation problem of heterogeneous UAV swarms for reservoir inspection with task decomposition. Fi...

The early identification of Amyotrophic Lateral Sclerosis (ALS), a progressive neurological disease, using blood-based transcriptome biomarker is gaining attention. The classification of ALS from blood transcriptomic data remains challenging due to class imbalance and high dimensionality. This exten...

This is a Letter discussing a recently published article.

Microgrids and nanogrids are increasingly deployed to support decentralized generation, local resilience, and renewable integration. However, their growing reliance on digital control, communication networks, cloud services, and IT–OT integration exposes them to diverse cybersecurity threats. Unlike...

Achieving carbon neutrality demands a fundamental transformation across energy, industry, technology, and policy sectors, supported by interdisciplinary scientific innovation. This paper presents a comprehensive overview of key technological pathways toward carbon neutrality, including energy decarb...

Traffic management is a crucial issue due to the massive increase in vehicles on the road. In order to improve traffic flow, reduce congestion, and ensure commuter safety at junctions, traffic light regulation is essential. This research aims to minimize delay and accident risk while maximizing vehi...