University of Maryland — CS Research

Computer science research from University of Maryland, including computer vision, NLP, robotics, and security.

Sample of the collection (25 of 2,205 items)

• The ParaShield Entry Vehicle Concept: Basic Theory and Flight Test Development University of Maryland, College Park With the emergence of microsatellite launch vehicle technology and the development of interest in space commercialization, there is a…
• Real-time experiment-theory closed-loop interaction for autonomous materials science University of Maryland, College Park Iterative cycles of theoretical prediction and experimental validation are the cornerstone of the modern scientific method. However, the…
• Systematic Biases in Estimating the Properties of Black Holes Due to Inaccurate Gravitational-Wave Models Max Planck Institute for Gravitational Physics Gravitational-wave (GW) observations of binary black-hole (BBH) coalescences are expected to address outstanding questions in…
• <tt>Oarfish</tt>: enhanced probabilistic modeling leads to improved accuracy in long read transcriptome quantification University of Maryland, College Park MOTIVATION: Long-read sequencing technology is becoming an increasingly indispensable tool in genomic and transcriptomic analysis. In…
• Monitoring Ocean Climate with World Ocean Database University of Maryland, College Park The World Ocean Database (WOD) is the world's most extensive collection of quality-controlled ocean profile and plankton data that…
• PUP 3D-GS: Principled Uncertainty Pruning for 3D Gaussian Splatting University of Maryland, College Park Recent advances in novel view synthesis have enabled real-time rendering speeds with high reconstruction accuracy. 3D Gaussian Splatting…
• Advanced techniques for electricity consumption prediction in buildings using comparative correlation analysis, data normalization, and Long Short-Term Memory (LSTM) networks: A case study of a U.S. commercial building Metropolitan University This study introduces innovative assessment techniques to comprehend the effect of six data normalization methods, implemented through…
• Chiral Quantum Optics: Recent Developments and Future Directions National Institute of Standards and Technology Chiral quantum optics is a growing field of research in which light-matter interactions become asymmetrically dependent on momentum and…
• Interpretable Fault Diagnosis for Overhead Lines with Covered Conductors: A Physics-Informed Deep Learning Approach Hong Kong Polytechnic University Partial discharge (PD) activity is an indicator of insulation deterioration and by extension, the reliability of power lines. Existing…
• Remaining useful life prediction of lithium-ion batteries using a novel particle flow filter framework with grey model Fujian Normal University Remaining useful life (RUL) prediction is a crucial aspect of the prognostics health management of lithium-ion batteries (LIBs). Owing…
• A gaze-driven manufacturing assembly assistant system with integrated step recognition, repetition analysis, and real-time feedback University of Maryland, Baltimore Modern manufacturing faces significant challenges, including efficiency bottlenecks and high error rates in manual assembly operations.…
• Neural Dynamics of the Processing of Speech Features: Evidence for a Progression of Features from Acoustic to Sentential Processing University of Maryland, College Park When we listen to speech, our brain's neurophysiological responses "track" its acoustic features, but it is less well understood how…
• Hospital Artificial Intelligence/Machine Learning Adoption by Neighborhood Deprivation University of Maryland, College Park OBJECTIVE: To understand the variation in artificial intelligence/machine learning (AI/ML) adoption across different hospital…
• Dynamic control of 2D non-Hermitian photonic corner skin modes in synthetic dimensions University of Maryland, College Park Non-Hermitian models describe the physics of ubiquitous open systems with gain and loss. One intriguing aspect of non-Hermitian models…
• High-speed multifunctional photonic memory on a foundry-processed photonic platform Sadra Rahimi Kari et al. The integration of computing with memory is essential for distributed, massively parallel, and adaptive architectures such as neural…
• Quantum Computing: Navigating the Future of Computation, Challenges, and Technological Breakthroughs United Arab Emirates University Quantum computing stands at the precipice of technological revolution, promising unprecedented computational capabilities to tackle some…
• Robustly learning the Hamiltonian dynamics of a superconducting quantum processor Joint Center for Quantum Information and Computer Science Precise means of characterizing analog quantum simulators are key to developing quantum simulators capable of beyond-classical…
• Dynamic patterns of functional connectivity in the human brain underlie individual memory formation National Institutes of Health Remembering our everyday experiences involves dynamically coordinating information distributed across different brain regions.…
• Air Quality Sensor Experts Convene: Current Quality Assurance Considerations for Credible Data Environmental Protection Agency Air sensors can provide valuable non-regulatory and supplemental data as they can be affordably deployed in large numbers and stationed…
• Do Supply Chain Characteristics Influence a Rival Firm's Responses to a Focal Firm's Product Preannouncements? A Competitive Dynamics Perspective Rochester Institute of Technology ABSTRACT This study investigates how supply chain characteristics influence a rival firm's response to a focal firm's product…
• Characterizing the structural complexity of the Earth’s forests with spaceborne lidar University of Maryland, College Park Forest structural complexity is a key element of ecosystem functioning, impacting light environments, nutrient cycling, biodiversity,…
• Development of the microcalorimeter detector for the Athena/X-ray Integral Field Unit Goddard Space Flight Center The X-ray Integral Field Unit (X-IFU) will be a microcalorimeter instrument on ESA’s Athena X-ray observatory, set to launch around…
• Formal Methods in Industry Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" Formal methods encompass a wide choice of techniques and tools for the specification, development, analysis, and verification of…
• Feasibility of peak temperature targets in light of institutional constraints Leibniz Association Abstract Despite faster-than-expected progress in clean energy technology deployment, global annual CO 2 emissions have increased from…
• A Deep Learning Lidar Denoising Approach for Improving Atmospheric Feature Detection Science Systems and Applications (United States) Space-based atmospheric backscatter lidars provide critical information about the vertical distribution of clouds and aerosols, thereby…

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