Quantum algorithms have become a popular research domain in recent times for discovering quantum-enhanced solutions in machine learning applications. Quantum kernels are one of the directions that establish such quantum-enhanced solutions to some ext... read more
Diabetes remains a major public health challenge, contributing to complications such as kidney disease, cardiovascular disorders, and diabetic retinopathy. Early detection is essential for timely intervention, yet prediction from structured biomedica... read more
The generation of realistic network traffic is a critical requirement for testing, simulation, and security evaluation in ZigBee-based IoT systems. In this study, we propose a novel framework that extracts sample ZigBee traffic packets and generates ... read more
Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology
Feb 10, 2026
Dealing with neuropsychiatric illness in the later years of life is an immersion in complexity, born of heterogeneity in etiology, pathogenesis, clinical presentation, and response to intervention. We offer here a conceptual summary and synthesis of ... read more
In the era of Industry 5.0 and artificial intelligence, with the continuous development of online EDI orders, manufacturing enterprises adopting a combined online and offline order acceptance model face the challenge of optimizing production scheduli... read more
The occurrence and development of a wide range of preeclampsia (PE), especially early-onset preeclampsia (EOPE), is closely associated with the immune system. The objective of this research is to utilize machine learning techniques to discover key im... read more
Conventional approaches for vascular graft stenosis diagnostics, including X-ray angiography, magnetic resonance imaging and Doppler ultrasound, although highly accurate, are cumbersome, used intermittently and often do not detect stenosis early enou... read more
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