Academic institutions manage large volumes of information including regulations, schedules, policies, and notices that students and staff frequently need to access. Existing conversational systems rel...
Multimodal music information retrieval has gained significant momentum, producing a wide range of datasets for machine learning and deep learning tasks. However, these resources remain overwhelmingly ...
West Antarctic ice shelves are rapidly melting and thinning, accelerating global sea-level rise. Limited glaciological and paleoceanographic evidence suggests that the continental shelf regions may ha...
Background: Inflammatory myofibroblastic tumor (IMT) is a rare, intermediate-grade neoplasm of the airway that can present with nonspecific respiratory symptoms, often mimicking asthma. In resource-li...
This study proposes a Machine Learning-Optimized 3D Hybrid Chaotic Map (Logistic–Tent–Hénon–Chebyshev) for secure and energy-efficient encryption of images and multimedia data in resource-constrained ...
Context: Modern society increasingly relies on complex and interconnected software systems. Systems-of-Systems (SoS) then enable interoperability among heterogeneous and independent systems, deliverin...
Data heterogeneity remains one of the most significant challenges in federated learning (FL), impacting model performance, convergence, and scalability. This issue is especially critical in healthcare...
This study examines the integration of Outdoor Learning (OL) into the Upward Bound (UB) college preparation summer program at the University of Kansas. Using a mixed-methods design, the research explo...
To address the challenge of synergistically optimizing multiple conflicting objectives, energy efficiency, low carbon emissions, and occupant comfort, in indoor design, this study proposes an improved...
In this work, a leaky-wave antenna (LWA) with pinnate-shaped slots and substrate integrated waveguide (SIW) is presented. The suggested antenna design employs eleven periodic slots to increase its gai...
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