Duke University — CS Research

Computer science research from Duke University, spanning AI, computer vision, algorithms, and computational biology.

Sample of the collection (25 of 1,585 items)

• An Evaluation of the Process Oriented Guided Inquiry Learning for Physical Chemistry Laboratory (POGIL-PCL) Approach for Engaging Students in Scientific Practices Duke University The Process Oriented Guided Inquiry Learning for Physical Chemistry Laboratory (POGIL-PCL) community has developed guided-inquiry…
• Optimizing research-to-practice translation time through the mountain model: A Delphi study Texas Woman's University BACKGROUND: The Mountain Model (MM) for evidence-based practice quality improvement (EBPQI) is the first published framework to formally…
• FlashSVD: Memory-Efficient Inference with Streaming for Low-Rank Models Duke University Singular Value Decomposition (SVD) has recently gained traction as an effective compression technique for large language models (LLMs),…
• Active guidance in ultrasound bladder scanning using reinforcement learning Duke University Accurate measurement of bladder volume is essential for diagnosing urinary retention and voiding dysfunction. However, finding optimal…
• Elderly Activity Life-Space Envelopes (EASE): Development and Feasibility of a Comprehensive, Integrated Protocol for Life-Space Mobility Research in Population Health SingHealth Background: Life-space mobility (LSM) refers to the movement of people over time and the areas through which they move to achieve life…
• PyFibers: An open-source NEURON-Python package to simulate responses of model nerve fibers to electrical stimulation Duke University Computational modeling of peripheral nerve fibers is a key tool for designing improved neuromodulation therapies. The NEURON software is…
• Dynamic Pricing and Inventory Control for Substitutable Products Based on Market Conditions Duke University Problem definition: We study optimal integrated inventory and pricing decisions for substitutable products over a finite planning…
• Machine learning-based hydrological models for flash floods: a systematic literature review Centro Nacional de Monitoramento e Alertas de Desastres Naturais Abstract Flash floods are critical events for emergency management, yet their modeling remains highly challenging, even in smart cities…
• An investigation of lightweight AI models to classify African ungulate species from tracks Botswana International University of Science and Technology In this study, we present a method to classify African ungulate species using lightweight artificial intelligence (AI) models that are…
• Quantifying Riverine Plastic Pollution Using Participatory Science and Trash Traps Duke University Abstract Local governments and environmental nonprofits are increasingly using trash traps to intercept and remove escaped plastics and…
• A workflow of open-source tools for drone-based photogrammetry of marine megafauna Marine Megafauna Foundation professional) are more inclusive and equitable, which will foster increased knowledge in ecology and wildlife science. Here we present a…
• Leveraging commuting groups for an efficient variational Hamiltonian ansatz Duke University Abstract Efficiently calculating the low-lying eigenvalues of Hamiltonians, written as sums of Pauli operators, is a fundamental…
• Integrating a Human‐Centered Design Tool, dScout, to Design a Web‐Based Intervention for Parent‐Adolescent Sexual Health Communication Duke University Black male adolescents and young adults (BMAYA) experience pronounced and persistent sexual health disparities compared to other groups…
• Computationally-efficient Synthesis of Inversely-designed 3D-Printable All-dielectric Devices Duke University We present a systematic, computationally efficient approach for synthesizing 3D-printable all-dielectric devices. Inverse-design…
• High-throughput discovery of perturbation-induced topological magnons The Ohio State University Abstract Topological magnons give rise to possibilities for engineering novel spintronics devices with critical applications in quantum…
• Estimating Daily Nitrate Loads in Iowa Streams Using a Partial Least Squares Regression Framework University of Pittsburgh ABSTRACT Agricultural nitrate pollution is a major threat to water quality in Iowa. Iowa uses a majority of its land for row crop…
• The Great Leveler? Juvenile Arrest, College Attainment, and the Future of American Inequality Duke University A burgeoning literature suggests that criminal justice contact in adolescence hinders educational attainment, but prior research…
• What are the key features of an equitable global vaccine strategy for the next pandemic? A qualitative study of pandemic control experts Duke University BACKGROUND: The COVID-19 pandemic exposed significant weaknesses in global health multilateralism, particularly in its failure to…
• An RF-CNN pipeline for predicting PM2.5 concentration in Sri Lanka University of Peradeniya • The RF-CNN pipeline can serve as a robust and comprehensive method for precisely forecasting the spatial and temporal fluctuations in…
• Social media use, online experiences, and loneliness among young adults: A cohort study University of Greenwich This study investigated patterns of digital technology use and their associations with loneliness in a cohort of 1632 young adults (mean…
• Reproducibility of lung density quantification across photon-counting and conventional energy-integrating CT: a comparative study Duke University OBJECTIVES: To evaluate how photon-counting CT (PCCT) reproducibly quantifies lung density compared to conventional CT…
• Staying or Leaving? How Businesses Take Action Towards Economic Sanctions and Evidence from the Russia–Ukraine War Duke University Abstract Since the beginning of the Russia–Ukraine war in 2022, there is no universal sanction regimes forcing foreign firms to withdraw…
• WDM System Stimulated Raman Scattering Spectrum and Tilt Prediction Using CNN-Based Transfer Learning Trinity College Dublin Advanced optical network technologies, proposed to fulfil the projected demands of future communication networks, are riddled with…
• Cyber-Secured Modular Multilevel Converters Against False-Data Injection Attacks Through Concurrent Estimators University of Kaiserslautern Over the past two decades, modular multilevel converters (MMCs) and similar cascaded circuits have become a key technology in the…
• Measuring the commercial potential of science Duke University Abstract Research Summary We develop an ex ante measure of commercial potential of science, an otherwise unobservable variable driving…

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