Ohio State University — CS Research

Computer science research from Ohio State University, spanning computer vision, machine learning, and algorithms.

Sample of the collection (25 of 2,412 items)

• Smartphone-integrated paper sensor strips for rapid and on-site detection of heavy metal ions in environmental water samples Maharishi Markandeshwar University, Mullana The detection of heavy metal ions is critical for environmental monitoring, public health, and industrial safety due to their…
• Identification of 30,000 White Dwarf–Main-sequence Binary Candidates from Gaia DR3 BP/RP (XP) Low-resolution Spectra Max Planck Institute for Astronomy Abstract White dwarf–main-sequence (WD–MS) binary systems are essential probes for understanding binary stellar evolution and play a…
• DecLLM: LLM-Augmented Recompilable Decompilation for Enabling Programmatic Use of Decompiled Code Hong Kong University of Science and Technology Decompilers are widely used in reverse engineering (RE) to convert compiled executables into human-readable pseudocode and support…
• SPARTAN: Data-Adaptive Symbolic Time-Series Approximation The Ohio State University Symbolic approximations are dimensionality reduction techniques that convert time series into sequences of discrete symbols, enhancing…
• Exploring the role of human-AI collaboration in solving scientific problems Anhui Normal University [This paper is part of the Focused Collection in Artificial Intelligence Tools in Physics Teaching and Physics Education Research.]…
• The roles of technology efficacy and networking agency in elementary students' engagement in online and face‐to‐face technology‐mediated learning The Ohio State University Abstract Despite the growing use of learning technology in classrooms, factors predicting young students' engagement in contexts fully…
• Robust wind turbine monitoring for digital twin integration: A physics-informed covariance-preserving deep learning approach The Ohio State University Accurate state estimation in wind turbines is crucial for integrating real-time monitoring into Digital Twins (DT). We present Eigen…
• Bayesian analysis of nucleon-nucleon scattering data in pionless effective field theory Washington University in St. Louis We perform Bayesian model calibration of two-nucleon $(NN)$ low-energy constants (LECs) appearing in an $NN$ interaction based on…
• A sensor-actuator–coupled gustatory interface chemically connecting virtual and real environments for remote tasting The Ohio State University Recent advancements in virtual reality (VR) and augmented reality (AR) have strengthened the bridge between virtual and real worlds via…
• High-Fidelity Document Stain Removal via A Large-Scale Real-World Dataset and A Memory-Augmented Transformer Huizhou University Document images are often degraded by various stains, significantly impacting their readability and hindering downstream applications…
• Efficient GPU-computing simulation platform JAX-CPFEM for differentiable crystal plasticity finite element method Northwestern University We present the formulation and applications of JAX-CPFEM, an open-source, GPU-accelerated, and differentiable 3-D crystal plasticity…
• Enhancing Cybersecurity Education with Artificial Intelligence Content Florida International University Artificial Intelligence (AI) has become a fundamental tool for cybersecurity researchers and practitioners. It is frequently used to…
• Are We Testing Vehicles the Right Way? Challenges of Electrified and Connected Vehicles for Standard Drive Cycles and On-Road Testing Politecnico di Torino Standard driving cycles have been the method of choice for testing vehicle performance for decades, both in research and at the…
• SyMANTIC: An Efficient Symbolic Regression Method for Interpretable and Parsimonious Model Discovery in Science and Beyond The Ohio State University Symbolic regression (SR) is an emerging branch of machine learning focused on discovering simple and interpretable mathematical…
• iSODA: A Comprehensive Tool for Integrative Omics Data Analysis in Single- and Multi-Omics Experiments Leiden University Medical Center Thanks to the plummeting costs of continuously evolving omics analytical platforms, research centers collect multiomics data more…
• Helioseismic inference of the solar radiative opacity University of Geneva The Sun is the most studied of all stars, and thus constitutes a benchmark for stellar models. However, our vision of the Sun is still…
• Ultralight wheelchair part failures are associated with sensor-monitored road shocks: A pilot study The Ohio State University Wheelchair part failures and repairs have significantly increased over the last decade, leading to severe consequences for wheelchair…
• Cyberinfrastructure for machine learning applications in agriculture: experiences, analysis, and vision The Ohio State University Introduction: Advancements in machine learning (ML) algorithms that make predictions from data without being explicitly programmed and…
• Water Table Fluctuations Control Nitrate and Ammonium Fate in Coastal Aquifers The Ohio State University Abstract Coastal aquifers experience water table fluctuations that push and pull water and air through organic‐rich soils. This exchange…
• Reconceptualizing E‐Logistics Service Quality (E‐LSQ) in Emerging Contexts: The Case of Crowdsourced Delivery Florida International University ABSTRACT E‐logistics service quality (e‐LSQ) has been one of the primary constructs used in the logistics literature to capture…
• Identifying risk factors for wheelchair damage, part failure, and adverse consequences to the user Ohio University No tools or technologies exist to inform data-driven inspection schedules for wheelchairs. To develop such a schedule, this study…
• How Do Satellite Precipitation Products Affect Water Quality Simulations? A Comparative Analysis of Rainfall Datasets for River Flow and Riverine Nitrate Load in an Agricultural Watershed East Carolina University Excessive nitrate loading from agricultural runoff leads to substantial environmental and economic harm, and although hydrological…
• Comparison of trueness, time, and number of images among different denture digitization protocols The Ohio State University PURPOSE: To compare trueness, time, and number of images of different denture digitization protocols. MATERIALS AND METHODS: Maxillary…
• Assessment of knowledge integration in student learning of galvanic cell: An interdisciplinary approach connecting physics and chemistry The Ohio State University The galvanic cell is a typical interdisciplinary topic, which is primarily taught in chemistry but its underpinning is closely related…
• The Validity and Usability of Markerless Motion Capture and Inertial Measurement Units for Quantifying Dynamic Movements Procter & Gamble (United States) PURPOSE: Motion capture technology is quickly evolving, providing researchers, clinicians, and coaches with more access to biomechanics…

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