Analyzing heterogeneous online reviews from multiple stakeholder groups represents an emerging challenge in AI-driven service intelligence. This study proposes a two-stage sentiment correlation detection framework and applies it to customer and employee reviews of the Istanbul Marriott \c{S}i\c{s}li...

Achieving carbon neutrality in the aviation sector demands transformative technologies, and Artificial Intelligence (AI)-enabled aerial unmanned systems are emerging as a critical enabler of low-carbon flight operations, environmental monitoring, and sustainable airspace governance, yet a comprehens...

Vaccination is one of the most cost-effective and simplest interventions for protecting against infectious-disease epidemics. The COVID-19 (coronavirus disease 2019) outbreak in China demonstrated that physical protection and social isolation are critical to controlling an epidemic in the absence of...

The integration of artificial intelligence into biomedical image analysis represents a paradigm shift in clinical decision support and surgical informatics. Laparoscopic cholecystectomy (LC) is a widely performed minimally invasive procedure but remains technically challenging due to limited visibil...

Accurate delineation of cardiac structures from cine magnetic resonance imaging (MRI) is essential for quantitative assessment of ventricular function and for diagnosing cardiomyopathies. Convolutional encoders, although highly effective, capture context within a limited receptive field and may unde...

Student mental health and academic stress are significant concerns in higher education, creating a need for effective approaches to early risk identification. This study proposes a multiclass predictive framework for academic stress and mental health risk classification among students. The framework...

The eastern part of the Shichang Sub-sag in the Nanpu Sag is influenced by multiple provenance systems. However, there are divergent opinions regarding the directions of sediment supply and the relative contributions of different provenances to this area, which have led to controversies over the typ...

With the continuous deepening of population aging in China, talent education for elderly care services is confronted with a prominent imbalance between talent supply and demand, structural misalignment, homogenization of course content, and weak teaching effectiveness. With its powerful data process...

Intermittent daily rainfall requires temporal pattern extraction and correction of newly observed prediction errors. This paper presents an event-triggered convolutional neural network--long short-term memory model with prediction-error closed-loop feedback (ECF-CNN-LSTM) for seasonal one-day-ahead...

Target value assessment is a critical component of operational decision-making; however, existing methodologies suffer from the rigidity of static models in dynamic battlefield environments and the scarcity of specialized domain-specific data. To address these problems, we propose DECIS, a framework...