OpenAlex
University of Michigan — CS Research
Computer science research from University of Michigan, spanning AI, HCI, robotics, and theoretical computer science.
6,799 items
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MCP
Sample of the collection (25 of 6,799 items)
- Space-Time Diversity in Observability and Estimation on Product Lie Groups University of Michigan Robust state estimation in coupled dynamical systems depends critically not only on sensor quality but on the structural alignment…
- Measuring “third places”: Comparing neighborhood data for cognitive health research University of Colorado Boulder INTRODUCTION: Neighborhood "third places" are increasingly studied as contextual determinants of cognitive health, yet the reliability…
- Optical limits in skin reflectance measurement: Quantifying melanin-dependent constraints on erythema detection University of Michigan As skin color measurement shifts from subjective classification to quantitative assessment, the assumption that objective measures are…
- Towards an Agentic AI-Enabled Blockchain-Based Fish Supply Chain Using Hyperledger Fabric University of Michigan Illegal, unreported, and unregulated (IUU) fishing activities have become one of the most critical challenges facing the global fish…
- High-lift Wing Separation Control via Bayesian Optimization and Deep Reinforcement Learning Universitat Politècnica de Catalunya Abstract This study investigates active flow control (AFC) of a 30P30N high-lift wing at a Reynolds number Re c = 450,000 and angle of…
- Addressing learning gaps to improve access to assisted reproductive technology in low-resource settings: Development and evaluation of a low-cost oocyte retrieval simulator University of Ghana Infertility is highly prevalent (20-40%) in sub-Saharan Africa, with limited access to assisted reproductive technology services. This…
- Teaching Machine Olfaction in an Undergraduate Deep Learning Course: A Pilot Integrating Chemistry, Machine Learning, and Sensory Evaluation University of Michigan We describe a pilot implementation of a classroom activity that introduces machine olfaction, a cutting-edge research topic, into an…
- Counterweight and Negative Stiffness Mechanisms for Resonance Tuning in Pendulum-Based Wave Energy Converters University of Michigan Abstract Sustained monitoring of marine environments is essential for understanding oceanic processes and maintaining ecological health.…
- Improving genomic prediction accuracy of complex traits by integrating massive types of functional annotation information Huazhong Agricultural University The development of omics techniques has increased the number of functional genomic annotations, making it possible to leverage this…
- Geodetic data fusion using multi-output sparse Gaussian processes University of Michigan SUMMARY Geodetic measurements of ground deformation are crucial to identifying and interpreting geophysical processes. We develop a…
- Higher-order statistics for constructing centered edge functional connectivity University of Michigan Abstract Functional connectivity is often constructed to understand functional organizations in neural systems, where the brain regions…
- Towards a self-driving trigger at the LHC: adaptive response in real time University of Michigan Abstract Real-time data filtering and selection—or trigger —systems at high-throughput scientific facilities such as the experiments at…
- Automating enterprise industry classifications for official statistics: Leveraging text-based similarity measures University of Zimbabwe Accurate industrial classification of firms forms the backbone of business surveys, economic policymaking, and international trade…
- Instructional Mechanisms for Professional Writing: A Comparison of Scaffolded Annotation and ChatGPT University of Michigan Professional writing skills are essential for crafting job application materials where applicants showcase their qualifications to…
- A11yExtensions: Accessibility Extensions to Augment Mobile AI Assistive Technology In-Situ University of Michigan Existing visual AI assistive technologies have usability gaps, and may need additional adaptations and features to serve users’ needs.…
- Three Rings III: Certified Koopman–Beltrami Operator with Applications to Non-Combinatorial Scheduling Andrew Strelzoff¹, Benjamin Strelzoff², and Tulio Sulbaran³ Charles River Analytics (United States) AbstractThe iterative Koopman–Beltrami (K–B) operator produces a time-stepping surrogatethat correctly simulates dynamics above the…
- Partial correlation networks of Gaussian processes University of Michigan In Gaussian graphical models, conditional independence and partial correlations are natural inferential targets for understanding direct…
- Adaptive Economic Model Predictive Control for Engine Emissions Management with Compensation for Performance Drift University of Michigan <div class="section abstract"><div class="htmlview paragraph">This paper addresses the changes in engine emissions due to…
- Sustainable polyurethane-based dielectric composites from industrial and E-waste for high-voltage insulation applications Vellore Institute of Technology University The growing demand for sustainable materials in electrical and electronic applications has led to the reuse of industrial and electronic…
- Improving Sparse Memory Finetuning University of Michigan Large Language Models (LLMs) are typically static after training, yet real-world applications require continual adaptation to new…
- Claw4Science: A Dataset and Platform for the OpenClaw Scientific Agent Ecosystem University of Michigan Large language models have enabled a new class of scientific software in the form of AI agents that can execute research workflows…
- From Output to Understanding: How Programming Outputs Mediate Mathematics Learning via Perturbation University of Hong Kong Abstract Programming has been advanced as a productive epistemic tool and catalyst for K-12 mathematics learning. Specific to the…
- The Energy Exascale Earth System Model Version 3: 2. Overview of the Coupled System Lawrence Livermore National Laboratory Abstract The Energy Exascale Earth System Model version 3 (E3SMv3) represents the latest advancement in Earth system modeling developed…
- From procedures to peril: Towards risk transparency in information privacy for users ZHAW Zurich University of Applied Sciences Information privacy is an integral part of users' lives, as many digital services and their business models heavily rely on personal…
- Sharp wave-ripple clusters enhance hippocampal-neocortical engagement for memory consolidation New York University Hippocampal sharp wave-ripples (SPW-Rs), neocortical slow oscillations, and thalamocortical sleep spindles are hypothesized to provide a…
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