In large-scale 2D finite element steady-state thermal models for underground cable ampacity calculations, where the lateral and lower boundaries are adiabatic, the ground surface may be represented by isothermal Dirichlet, convective Robin, or coupled convection–radiation conditions. In such cases,...

This study focuses on the solid-state processing optimization of SrTi\(_{1-x}\)Fe\(_x\)O\(_3\) (STFO) ceramics with \(0.00 \leq x \leq 0.11\). X-ray diffraction reveals a single-phase cubic structure (space group Pm\(\bar{3}m\)) with lattice constant \(a = b = c = 3.91{Å}\) and a maximum relative de...

Antimicrobial peptides (AMPs) are promising candidates in the fight against antibiotic resistance. However, traditional screening methods are often complex and costly. Metagenome offers a powerful approach for discovering novel AMPs from environmental samples. In this study, the deep learning model...

The rapid digitization of education has generated massive, heterogeneous student behavioral data, creating both opportunities and methodological challenges for educational data mining. This perspective paper discusses an emerging paradigm that integrates approximate fast clustering algorithms with d...

The rapid digitalization of education has led to an explosive growth of multi-source and multi-modal learning data, providing new opportunities for advancing Educational Data Mining (EDM). By learning diverse data such as learning behaviors, assessment records, and interaction logs, EDM enables deep...

Hydrocarbon prospectivity in fold-and-thrust belts remains inherently uncertain due to the combined effects of structural complexity and heterogeneous reservoir properties. The Eastern Potwar region of Pakistan, characterized by imbricate thrust systems, anticlines, and synclines, represents a typic...

Securely transmitting a large amount of data in a short time is a serious challenge in today's digital age. Cryptographic primitives can significantly alleviate this problem. The invention of digital signatures represents a major advance in this area. The Certificateless Aggregate Signature (CLAS) s...

Fog-enabled Internet of Things (IoT-Fog) architectures and the Cognitive Internet of Vehicles (Cognitive IOV) are becoming key enablers for next-generation intelligent transport systems. At the same time, Blockchain is used to support integrity, transparency, and trust in distributed vehicular servi...

IoT-Fog networks create big challenges in scalability, latency, and security at the edge. This paper gives a simple perspective on how sidechains and artificial intelligence (AI) can help. Sidechains process local transactions near devices, increase throughput, and reduce delay. AI methods, such as...

The rapid expansion of the low-altitude economy is reshaping urban transportation systems, while large-scale operations of dynamic and high-density low-altitude unmanned aerial vehicles pose significant challenges to performance and robustness of airspace infrastructure. Traditional free-flight and...