UC Davis — CS Research

Computer science research from UC Davis, covering visualization, machine learning, computer graphics, and algorithms.

Sample of the collection (25 of 2,080 items)

• Synthetic Datasets and Machine Learning Algorithms for Enhanced Calibration of Plasticity Models for Liquefiable Geosystems Tetra Tech (Canada) Machine Learning (ML) algorithms are increasingly adopted in engineering to extract insights from data and support decision-making.…
• Towards a unified theory of false memory for similar episodes University of Nevada, Las Vegas Important advances have been made in understanding the roles that recollection and familiarity, true and false memory, as well as…
• Quantifying post-fire live tree presence and spatial variation using Sentinel-2 time series University of California, Davis Accurate mapping of post-fire surviving trees is important for tracking forest recovery and prioritizing land management decisions.…
• From Sight to Touch: Haptic Sensory Integration Can Facilitate Multi-Limb Coordination University of California, Davis Humans possess an innate ability to seamlessly coordinate movement across multiple limbs, whether driving a motor vehicle, playing a…
• Developing a calibrated physics-based digital twin for construction vehicles Highland Hospital This paper presents the development and calibration of a digital twin for a wheel loader that integrates a physical machine with a…
• Modelling the ‘S curve’: transition dynamics in EV adoption University of Calgary Abstract Electric vehicles (EVs) offer significant potential to reduce greenhouse gas emissions from the transportation sector. This…
• Modeling Diffusion in Metal–Organic Frameworks Using On-the-fly Probability Enhanced Sampling-Based Machine Learning Potentials University of California System Machine learning potentials (MLPs) can help bridge the length- and time-scale gaps required to study diverse physicochemical phenomena…
• FP-Inconsistent: Measurement and Analysis of Fingerprint Inconsistencies in Evasive Bot Traffic University of California, Davis Browser fingerprinting is used for bot detection. In response, bots have started altering their fingerprints to evade detection. We…
• Comparison of short-read and long-read metagenome assemblies in a natural soil community highlights systematic bias in recovery of high-diversity populations Joint Genome Institute Comparisons of long-read and short-read (meta)genome assemblies typically show that short-read sequence assemblies are less error-prone,…
• Survey Professionalism: New Evidence from Web Browsing Data Universität der Bundeswehr München Abstract Online panels have become an important resource for research in political science, but the compensation offered to panelists…
• Utilization of large language models in decision-making for sustainability in radiology Heidelberg University Introduction: Radiology has a significant environmental impact, but guidance on how to effectively implement sustainable practices in…
• Combined conceptual and perceptual control of visual attention in search for real-world objects University of California, Davis When we search for an object in the natural visual environment, we sometimes know exactly what the object looks like. At other times,…
• Experience-dependent Changes in the Visual Processing of Letters: Evidence from Electroencephalography Decoding University of California, Davis Learning to read involves the formation and tuning of letter representations, but it is unknown whether this orthographic tuning…
• An Electrically Highly Compact Ultra-Wideband Vivaldi Antenna With Substantial Gain Performance University of California, Davis In this paper, the design, analysis, fabrication, and measurement of an electrically highly compact ultrawideband Vivaldi antenna is…
• A flexible Regional Ocean Modeling System-based hybrid coupled model for El Niño–Southern Oscillation studies – model formulation and performance evaluation Woods Hole Oceanographic Institution Abstract. El Niño–Southern Oscillation (ENSO) constitutes the most prominent interannual climate variation mode in the climate system…
• Quality, Reliability and Accuracy of Hyperthyroidism‐Related Content on Social Media Platform <scp>TikTok</scp> University of Florida OBJECTIVE(S): To evaluate the quality, reliability and accuracy of hyperthyroidism-related content on TikTok using validated assessment…
• Hierarchical Organization of Human Visual Feature Attention Control University of California, Davis Attention can be deployed in advance of visual stimuli based on features such as color or direction of motion. This anticipatory…
• The Food Fortification Landscape in the United States: Identification and Prevalence of Fortified Food Purchases Using National Household Scanner Data University of California, Davis BACKGROUND: Understanding the effects of market-driven food fortification on micronutrient adequacy and diet quality has been hampered…
• Cyberattack-Aware Control Structure Screening for Controller-Actuator False Data Injection Attack Isolation University of California, Davis This work presents a screening methodology that integrates cyberattack isolation capabilities as an additional criterion in the…
• A universal color curve for roasted arabica coffee University of California, Davis Color is a key indicator of quality and roast level in coffee beans. Surprisingly, little is known about the effect of different "roast…
• Risks of crediting carbon offsets in low carbon fuel standards: lessons learned from dairy biomethane Cal Poly Humboldt Low Carbon Fuel Standard (LCFS) policies can reduce emissions from transportation by subsidizing fuels based on their carbon…
• Governance dynamics in online communities: Autonomy, control, and sense of virtual community University of California, Davis What drives a genuine sense of community in online spaces? This study examines the role of governance, autonomy, and control in…
• OpenDMS: An Open-Source Approach to Differential Mobility Spectrometry University of California, Davis Differential mobility spectrometry (DMS) is a powerful gas-phase chemical analysis technique that separates ions based on their…
• iNatAg: Multi-Class Classification Models Enabled by a Large-Scale Benchmark Dataset with 4.7M Images of 2,959 Crop and Weed Species University of California, Davis Accurate identification of crop and weed species is critical for precision agriculture and sustainable farming. However, it remains…
• Leveraging Machine Learning and Data Analytics to Predict Corporate Financial Distress and Bankruptcy in the United States Abia State University Predictions about a company's financial distress and potential bankruptcy are important for a business, investor, or even a regulator.…

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