Shaoyang University

Trust-Aware Federated Learning for Privacy-Preserving IoT Intrusion Detection

The rapid growth of Internet of Things (IoT) networks has increased the need for intrusion detection mechanisms that provide accurate threat detection while preserving privacy, resisting malicious clients, and limiting communication overhead. Existing Federated Learning (FL)-base...

An enhanced hierarchical Mamba-based cardiac segmentation network for cardiovascular analysis and disease diagnosis using multiple MRI datasets

Automatic cardiac segmentation grew in popularity as it became feasible in clinical settings. Deep learning-based techniques are used throughout the world to gain access to cardiac functioning. Although the current deep learning architecture represents an important step toward cl...

Exploring the Role of AI-Supported Motor-Skill Language Learning Tools in EFL Learners’ Willingness to Communicate: The Mediating Roles of Grit and Enjoyment

It is widely known that artificial intelligence (AI) offers creative opportunities for enhancing English language students’ performance. Nevertheless, there is little information regarding the effect of AI-based tools on students’ willingness to communicate (WTC). In addition, em...

Quality Variation Patterns and Predictive Modeling of Fermented Soybean Whey-Based Tofu Under Cold-Chain Conditions Using Kinetic and Machine Learning Approaches

Pre-packaged fermented soybean whey-based tofu (FSW-tofu) was stored under dynamic temperature conditions (4–20 °C) that simulated typical supermarket and e-commerce cold-chain transport modes. Changes in total viable count (TVC), psychrophilic bacterial count (PBC), hardness, sp...

LIBS-Based Classification of Thermal Aging Levels in High-Voltage Wire Harnesses of New Energy Vehicles Using MAD-RF

High-voltage wiring harnesses in new energy vehicles (NEVs) are susceptible to thermal aging in high-temperature environments, whereas conventional assessment methods are difficult to deploy rapidly. This study combines laser-induced breakdown spectroscopy (LIBS) with random fore...

A numerical study of non-Newtonian blood-based hybrid nanofluid flow over a stretching cylinder with Cattaneo–Christov heat flux and homogeneous heterogeneous reactions

Non-Newtonian hybrid nanofluids have attracted considerable attention in biomedical and industrial thermal systems because of their superior heat transfer performance and complex transport characteristics. In particular, blood-based hybrid nanofluids containing copper (Cu) and al...