Urinary incontinence can affect up to 53% of patients after radical prostatectomy, yet prediction tools rely on binary outcomes, missing heterogeneous recovery patterns. We developed machine-learning models that for the first time predict incontinenc... read more
This study presents the development and evaluation of a novel lead-free composite for radiation shielding, designed using an artificial neural network (ANN). The ANN model achieved a high predictive accuracy for the mass attenuation coefficient, with... read more
Accurate prediction of nanofluid thermal conductivity is essential for the design of advanced thermal systems; however, existing approaches often face a trade-off between predictive accuracy and physical interpretability. In this study, a physics-gui... read more
Haze in remote sensing imagery severely degrades image quality and impedes accurate interpretation. While deep learning has advanced dehazing, its reliance on large-scale paired data is impractical for remote sensing applications. To overcome this, w... read more
Reproducible brain-wide association studies remain challenging in structural MRI, in part because high-dimensional cortical measures yield unstable eigenspaces in small samples. Here, using cortical thickness data from the Human Connectome Project Yo... read more
Construction delays remain a major challenge, especially in developing countries where financial, administrative, and resource constraints intensify schedule disruptions. This study identifies and prioritizes construction delay factors through a thre... read more
We externally validated the performance of deep learning (DL) solution for detection of spontaneous intracerebral (ICH), intraventricular (IVH) and subarachnoid hemorrhages (SAH) on non-contrast enhanced head CT scans (NCCTs). We analyzed 901 NCCTs c... read more
The demanding requirements of next-generation 6G wireless systems necessitate the development of compact, wideband, and high-isolation terahertz (THz) MIMO antennas, while conventional full-wave electromagnetic optimization remains computationally ex... read more
The clinical demand for paclitaxel necessitates novel strategies to enhance its production. While recent breakthroughs have elucidated the complete biosynthetic pathway in heterologous hosts, optimizing production within the native Taxus plant remain... read more
In recent years of crude oil shortage and price rise, biodiesel has emerged as a new-age sustainable fuel, owing to its positives mainly providing lower amount of gas emissions and compatibility with prevailing petro-diesel engines. The contemporary ... read more
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