The growing volume of agricultural residues poses significant environmental and economic challenges, while existing waste management practices remain inefficient and unsustainable. This paper presents SAWAOS (Smart Agri-Waste Analysis and Optimization System), an applied AI-based decision-support fr...

Parkinson’s disease (PD) is the second most common neurodegenerative disorder worldwide, predominantly affecting older adults. Early detection is crucial, as subtle motor and non-motor symptoms frequently overlap with other conditions, often resulting in delayed diagnosis. Many existing models rely...

Medicinal and aromatic plants (MAPs) serve as biochemical factories producing valuable secondary metabolites, yet their potential is limited by low yields, tissue-specific accumulation, and co-production of toxic compounds. Traditional improvement methods have achieved only incremental gains, highli...

In prostate cancer treatment, intermittent androgen deprivation therapy can delay the emergence of drug resistance, yet its efficacy is influenced by environmental fluctuations, treatment parameters, and competition among tumor cell populations. To investigate the mechanisms underlying resistance du...

An individual plant cell functions as a complex dynamic circuit, composed of resistor, capacitor, and inductor networks created by cellular structures and macromolecules. Furthermore, high-voltage electrostatic fields (HVEF) alter its electrical properties and initiate metabolic changes. This study...

Remaining useful life (RUL) prediction is a core task in prognostics and health management. While Transformers excel at modeling long-range temporal dependencies, their performance is highly sensitive to hyperparameters, and improper splitting of sliding-window samples can introduce data leakage. We...

This perspective article argues that hyperparameters such as learning rate, batch size, numerical precision, and training workers are key determinants of energy scalability in CNN training. These parameters directly influence convergence dynamics, hardware utilization, and training duration, leading...

Bridge surface defect detection plays a critical role in ensuring traffic safety and facilitating infrastructure maintenance. A lightweight object detection network based on YOLOv10, termed LBSD-YOLO, is developed to achieve high detection accuracy while maintaining high efficiency for deployment on...

Tongue diagnosis is a core component of Traditional Chinese Medicine (TCM) with important clinical application value, yet its standardization is severely hampered by the subjectivity of manual interpretation and the lack of unified imaging acquisition protocols. Worse still, the scarcity of large-sc...

Objective: Through bibliometrics and knowledge graph visualization, this paper systematically analyzes the evolution and trends of traditional Chinese medicine (TCM) vocational education research. Methods: Literature was retrieved from CNKI, Wanfang, and VIP databases from inception to October 2025,...