Unintentional wellbore deviation presents persistent challenges in drilling operations, often leading to cumulative trajectory irregularities that can compromise downhole equipment reliability and production performance. This study presents an integr... read more
Driven by the urgent need to provide high-performance sustainable, high-performing composites as eco-friendly alternatives to petroleum-based materials in structural applications, this study explores enhancing partially bio-based epoxy (E) biocomposi... read more
Non-determinism in deep learning algorithm design and implementation leads to performance variation, meaning model performance is not a single value, but rather a distribution. These model performance distributions are underexplored despite their imp... read more
The growing use of artificial intelligence (AI) in medicine has highlighted the imperative for privacy-preserving and high-accuracy diagnostic systems. Traditional federated learning (FL) solutions allow multi-institutional collaborative training of ... read more
The manual processing of large volumes of bilingual consumer complaint data poses significant operational challenges, leading to delayed resolution times and inefficient resource utilization. This study presents the development and evaluation of an i... read more
Classroom behavior analysis plays a crucial role in understanding student engagement, learning effectiveness, and instructional quality in higher education.This study presents a multimodal deep learning framework for classifying students' classroom b... read more
A graphene-integrated refractory metasurface absorber is proposed for broadband solar thermal energy conversion. Near-unity broadband absorptance across 300-2500 nm is achieved through three concurrent mechanisms: free-space impedance matching, groun... read more
The ability to successfully retain and manipulate information in working memory (WM) requires that objects' individual features are bound into cohesive representations; yet, the mechanisms supporting feature binding remain unclear. Binding (or swap) ... read more
BACKGROUND: Accurately mapping social and risk networks is critical for understanding and controlling infectious disease transmission, especially among hard-to-reach populations, such as people who inject drugs (PWID). Yet, empirical sociometric netw... read more
Monitoring just-in-time adaptive interventions (JITAIs) is important both during trialing and when the intervention is deployed in a broader healthcare program. While there is increasing interest in using artificial intelligence (AI) algorithms in JI... read more
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