NC State — CS Research

Computer science research from North Carolina State University, covering software engineering, AI, and data science.

Sample of the collection (25 of 3,195 items)

• Quantum Computing Beyond Ground-State Electronic Structure: A Review of Progress Toward Quantum Chemistry Out of the Ground State Brown University Quantum computing offers the promise of revolutionizing quantum chemistry by enabling the solution of chemical problems for…
• Machine learning lumber price forecasts Bingzi Jin et al. Price predictions for primary agricultural commodities have been very significant to the majority of market participants for a…
• FORECASTING THE NEW ENERGY INDEX TRADING AMOUNT IN CHINA MAINLAND: A MACHINE LEARNING FRAMEWORK EMPLOYING GAUSSIAN PROCESS REGRESSION TUNED WITH BAYESIAN OPTIMIZATION Bingzi Jin et al. The precise forecasting of trading amounts in energy indices persists as a significant concern for financial stakeholders and oversight…
• Transforming Indoor Localization: Advanced Transformer Architecture for NLOS Dominated Wireless Environments With Distributed Sensors North Carolina State University Indoor localization in challenging non-line-of-sight (NLOS) environments often leads to poor accuracy with traditional approaches. Deep…
• Forecasting the Chinese energy security index price: A Gaussian process regression-based machine learning framework enhanced by Bayesian optimisation and cross-validation Bingzi Jin et al. Accurate forecasting of energy security index pricing represents a significant challenge for policymakers and financial stakeholders.…
• An Empirical Study on Challenges of Event Management in Microservice Architectures University of Copenhagen Microservices emerged as a popular architectural style over the last decade. Although designed to be self-contained, microservices must…
• Concept of UCN Source at WWR-K Reactor (AlSUN) National Nuclear Center of the Republic of Kazakhstan We present the concept of an ultracold neutron (UCN) source with a superfluid He-4 (SF 4He) converter located in the thermal column of…
• Engineering a Sustainable Future: Integrating Carbon Neutrality and Research-Based Learning into First-Year Engineering Courses North Carolina State University This study presents the design, implementation, and evaluation of a sustainability-centered Course-Based Undergraduate Research…
• A Reinforcement Learning Framework for Application-Specific TCP Congestion-Control North Carolina State University The Congestion Control (CC) module plays a critical role in the Transmission Control Protocol (TCP), ensuring the stability and…
• Repeated Measures Investigation of Self-Efficacy in Jonassen-Inspired Problem-Based Learning for Aerospace Engineering Students University at Buffalo, State University of New York This study examines how exposure to a problembased learning (PBL) environment influences undergraduate engineering students'…
• Digital Twins for Low-Altitude UAV Networks–Cooperation and Learning South China Institute of Collaborative Innovation The Digital Twin (DT) system has become a new paradigm to empower Unmanned Aerial Vehicles (UAV) networks for low-altitude applications,…
• ANABAG: Annotated Antibody–Antigen Data Set with Unique Features for Antibody Engineering Applications Universidade de Ribeirão Preto The analysis and prediction of antibody-antigen (Ab-Ag) interactions often overlook critical structural features such as glycosylation…
• A framework for global sensitivity analysis in long-term energy systems planning using optimal transport North Carolina State University This paper introduces a framework for applying global parametric sensitivity analyses to energy system optimization models. The…
• COADVISE: covariate adjustment with variable selection in randomized controlled trials North Carolina State University Abstract Adjusting for covariates in randomized controlled trials can enhance the credibility and efficiency of treatment effect…
• Pre-trained molecular language models with random functional group masking Beihang University Recent advancements in computational chemistry utilize transformer-based models pre-trained on Simplified Molecular Input Line Entry…
• Improving the standardization of wild bee occurrence data: Towards a formal wild bee data standard University of California, Riverside Conservation and management of wild bees is hindered by the variety of ways wild bee occurrence data are recorded, managed, and shared.…
• Efficient hyperparameter estimation in Bayesian inverse problems using sample average approximation Emory University In Bayesian inverse problems, it is common to consider several hyperparameters that define the prior and the noise model that must be…
• 3D‐Printed Soft Magnetoactive Origami Actuators North Carolina State University Abstract Soft magnetoactive material‐driven origami actuators, controlled wirelessly by external magnetic fields, combine the folding…
• Cost-Aware High-Fidelity Entanglement Distribution and Purification in the Quantum Internet North Carolina State University Operating a quantum network incurs high capital and operational expenditures, which are expected to be compensated by the high value of…
• Co-Optimization of EV Charging Control and Incentivization for Enhanced Power System Stability North Carolina State University We study how high charging rate demands from electric vehicles (EVs) in a power distribution grid may collectively cause poor dynamic…
• Forecasting Residential Property Prices in Jiaxing City, China: A Hybrid Machine Learning Framework Integrating Gaussian Process Regressions and Bayesian Optimization Bingzi Jin et al. China’s property market underwent a period of rapid growth during the past decade, followed by a significant downturn commencing in late…
• Measuring Mathematics Teaching Quality: The State of the Field and a Call for the Future European Council To better understand how teaching quality has been conceptualized and measured within the sub-field of mathematics education, we…
• Data-Driven Integration of Remote Sensing, Agro-Meteorology, and Wireless Sensor Networks for Crop Water Demand Estimation: Tools Towards Sustainable Irrigation in High-Value Fruit Crops University of Talca Despite advances in precision irrigation, no systematic review has yet integrated the roles of remote sensing, agro-meteorological data,…
• Bayesian Gaussian Process Predictions of Chongqing Carbon Market Prices Bingzi Jin et al. Accurate prediction of carbon allowance price movements is essential for informing environmental policy and strengthening market-based…
• Asset‐Based Implementation of Structured Adaptations in an Online Third‐Grade Content Literacy Intervention North Carolina State University ABSTRACT Scaling up evidence‐based educational interventions presents challenges, particularly in adapting to new contexts while…

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