UCLA — CS Research

Computer science research from UCLA, spanning AI, networks, graphics, and computational biology.

Sample of the collection (25 of 3,802 items)

• Deform to Inform: Persistent Batteryless Sensing via Antenna Deformation and RFID Impedance Adaptation University of California, Los Angeles A stable environment is critical for preserving product quality in industries such as pharmaceuticals and perishable goods logistics.…
• QoS Assurance Mechanism for 5G Network Slicing Based on the Deep Reinforcement Learning PPO Algorithm University of California, Los Angeles With the increasing diversity of 5G service types and the intensifying dynamic fluctuations of network load, achieve differentiated…
• Effective monitoring of online AI decision-making algorithms in just-in-time adaptive interventions Harvard University Monitoring just-in-time adaptive interventions (JITAIs) is important both during trialing and when the intervention is deployed in a…
• Research on error prediction and pre-compensation method of six-axis laser cutting machine tool based on digital twin Beijing University of Technology The error prediction and pre-compensation methods for multi-axis CNC machine tools have long been a research focus in the industrial…
• Use and preferences of advanced driver assistance systems by drivers with homonymous visual field loss Harvard University PURPOSE: To quantify the use of advanced driver assistance systems (ADAS) among drivers with homonymous visual field loss (HVFL) and…
• Multi-Level Interconnect Planning for Signal-Power-Thermal Integrity in 2.5D/3D Integration University of California, Los Angeles Chiplets are a promising architecture for high-performance AI computing, but their package-level interconnects create a tightly coupled…
• Dopaminergic processes predict temporal distortions in event memory University of California, Los Angeles Our memories do not simply keep time - they distort it, stretching and compressing the past to reflect the structure of experience.…
• Reconstruction Using the Invisible: Intuition from NIR and Metadata for Enhanced 3D Gaussian Splatting University of California, Los Angeles While 3D Gaussian Splatting (3DGS) has rapidly advanced, its application in agriculture remains underexplored. Agricultural scenes pose…
• Reassessing the Scaling of AI-Powered Climate Models Against Dynamical Counterparts University of Lausanne Are AI-powered climate models intrinsically more efficient than traditional climate models?While progress is still needed before they…
• Encyclopedia of Geosciences: A collection of scientific review articles Friedrich-Alexander-Universität Erlangen-Nürnberg The Encyclopedia of Geosciences is a collection of peer-reviewed, open-access review articles which have been published in our partner…
• Hierarchical abstraction drives human-like 3-D shape processing in deep learning models University of California, Los Angeles Both humans and deep learning models can recognize objects from 3D shapes depicted with sparse visual information, such as a set of…
• Balancing Pipeline Profitability and Failure in Hydrogen Pipelines Using Machine Learning-Derived Operational Rules University of California, Los Angeles Abstract Hydrogen pipelines face a unique trade-off between energy delivery efficiency and pipeline material integrity. On one hand,…
• A Material Database for Hydrogen Pipeline Life Prediction François Ayello et al. Abstract The transition to low-carbon energy systems is accelerating across the globe, with hydrogen emerging as a key component of…
• Deep learning-enabled diffractive processors for low-power structural vibration monitoring University of California, Los Angeles Structural Health Monitoring (SHM) is required to maintain the safety and longevity of civil infrastructure. Here, we present a…
• Unidirectional focusing of light using structured diffractive surfaces University of California, Los Angeles We introduce a reciprocal framework that achieves unidirectional focusing of light using a diffractive architecture composed of linear…
• Broadband unidirectional visible imagers using wafer-scale nanomanufacturing University of California, Los Angeles We report a broadband, polarization-insensitive unidirectional imager that operates within the visible spectrum, capable of…
• Structural vibration monitoring with diffractive optical processors California NanoSystems Institute Structural health monitoring (SHM) is vital for maintaining the safety and longevity of civil infrastructure, yet current solutions…
• Metapipeline-DNA: A comprehensive germline and somatic genomics Nextflow pipeline Discovery Institute The price, quality, and throughput of DNA sequencing continue to improve. Algorithmic innovations have allowed inference of a growing…
• Digital Equity in California: Evaluating the Role of Online Learning Platforms in Reducing the K–12 Achievement Gap in California University of California, Los Angeles The adoption of Online Learning Platforms (OLPs) was accelerated by the Covid pandemic, becoming the norm for most schools in…
• The WEAR-BOT checklist: A risk of bias tool for evaluating validity and reliability research in wearable technology Oregon Institute of Technology This paper proposes an innovative tool designed to standardize the evaluation of validity and reliability studies in the rapidly…
• ESTroM: Element-Flow Architecture for Processing Sparse Tractable Probabilistic Models Artificial Intelligence in Medicine (Canada) Probabilistic Circuits (PCs) models are emerging popular tractable probabilistic models. Their internal connections are represented in…
• Synergizing Chemical and AI Communities for Advancing Laboratories of the Future University of California, Santa Barbara The development of automated experimental facilities and the digitization of experimental data have introduced numerous opportunities to…
• The Role of Success and Failure in Fluid Teams: Evidence from the Motion Picture Industry Pennsylvania State University Many business settings involve fluid teams, where team members come together to work on a project, after which the team is disbanded. It…
• Comparative performance of the concurrent comparator design with existing vaccine safety surveillance approaches on real-world observational health data University of Virginia Abstract Background It is critical public health concern to identify safety signals originating from wide-scale immunization efforts.…
• Human-Autonomy Teams: Driver Simulator Experiments for Level 3 Automated Driving Systems University of California, Los Angeles SUMMARY & CONCLUSIONSDespite the expected growth of automated vehicle deployment, human involvement will remain essential, whether as…

Query this set from any AI agent

Agents: a markdown version of this page is at https://publicmcp.org/library/ucla.md.