In the medical field, efficient and accurate classification of sequential and structured data is crucially important and useful for early diagnosis and treatment. Traditional machine learning models struggle with the complexity and nonlinearity of dynamic datasets, whereas deep learning models, desp...

With the rapid advancement of deep learning, Spiking Neural Networks (SNNs) have attracted growing interest due to their low power consumption, sensitivity to temporal information, and biological plausibility. However, deploying SNNs in resource-constrained, real-time embedded environments presents...

Due to its consistent linguistic limitations, linguistics is the preferred medium for language learners. To take it a step further, language is essential for broadening people’s perspectives on the outside world. Now it is time to investigate the connection between linguistics and language acquisiti...

In response to the emphasis on core competencies in the "Compulsory Education English Curriculum Standards (2022 Edition)" and the requirement for efficient review under the "double reduction" policy, this study focuses on the application of mind maps in English topic review classes for Grade 3 stud...

This paper presents the design of a wideband cavity-structure transverse slot antenna based on a substrate integrated waveguide (SIW) for fifth-generation (5G) applications. The antenna is specifically engineered to cover the European 5G frequency range (24.25 – 27.5 GHz). By strategically positioni...

Student dropout prediction is a critical challenge in higher education that requires accurate identification of at-risk students to enable timely interventions. This study presents EASE-Predict (Ensemble-SHAP Explainable Student Prediction), a comprehensive ensemble learning framework with SHAP-base...

With the wide application and rapid development of the Internet, online virtual property has become an important form of asset, and its protection has attracted more and more attention. At present, there are many deficiencies in the legal protection of online virtual property in China, whether it is...

The global sustainability paradigm, catalyzed by environmental degradation since the 1960s, has positioned green consumption as a critical strategy to reconcile economic growth with ecological preservation. While international scholarship extensively explores this field, China's unique socioeconomic...

Unmanned aerial vehicles (UAVs) have great potential in 5G and 6G networks due to their communication capabilities, low-cost, and adaptable deployment opportunities. The use of multiple Unmanned Aerial Vehicles (UAV) systems is a more cost-effective and operationally efficient approach compared to u...

Device-to-Device (D2D) communication serves as a pivotal technology in the evolution of cellular networks, presenting opportunities to markedly improve spectral efficiency, minimize latency, and optimize energy consumption through direct interactions between user devices. Nonetheless, the implementa...