Predicting the shear strength of concrete elements is a complex challenge influenced by numerous factors, with the type of concrete playing a decisive role in structural performance. Lightweight concrete, offering a superior strength-to-weight ratio ... read more
Deep learning (DL)-based pathological image modelling and analysis approaches offer transformative potential for early cancer diagnostics, yet limited sample sizes and a lack of interpretability often hinder efficient clinical translation. Here, we p... read more
Anastomotic leak is a life-threatening complication following colorectal surgery. This study benchmarks Quantum Neural Networks (QNNs) against hyperparameter-tuned classical models (logistic regression, multi-layer perceptrons, boosting algorithms) f... read more
Reliable prediction of suspended sediment concentration is essential for reservoir operation, sustainable water management, and river ecosystem restoration. However, accurate forecasting remains challenging due to the strong nonlinearity and nonstati... read more
School attendance is a fundamental prerequisite for children's and adolescents' academic, social, and personal development. Yet, despite decades of research and policy efforts, rates of problematic school absenteeism remain persistently high. This st... read more
The use of face mask compliance regarding compliance monitoring is important in health sensitive and surveillance driven environments. This paper has introduced a multi-class face mask compliance detection system in the form of a Deep Convolutional N... read more
Deep learning has shown strong potential for automated chest X-ray analysis in the diagnosis of respiratory diseases. However, accurate detection of viral pneumonia remains challenging due to its radiographic similarity with COVID-19 and limited labe... read more
Industrial anomaly detection and localization have become key procedures in modern manufacturing for product quality assurance. However, it is still challenging for the emerging deep learning-based unsupervised anomaly detection approaches to simulta... read more
Related-party transactions (RPTs) occupy a central position in contemporary corporate governance, serving as essential channels for resource allocation among affiliated business entities. The growing complexity of ownership arrangements and globalize... read more
Schedule deviation continues to plague complex information system projects, with empirical surveys reporting that over 70% of such projects suffer meaningful overruns and average delays exceeding one-quarter of the originally planned duration. Conven... read more
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