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The Spillover Effect of Chinese Market Volatility on US Technology Stocks.

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PyMOCAT-MC: A Python Implementation of the MIT Orbital Capacity Assessment Toolbox Monte Carlo Module

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Assessing the Reproducibility and Computational Costs of Management Science  Research Using Intel TDX Secure Environments

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Spatial and Statistical Analysis of Crash Frequency and Severity: An Arlington, VA Case Study

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Identifying Environment-Based Risk Factors for Crashes in Fairfax County

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Evaluating the Impact of Traffic Control Measures on the Severity of School Zone Crashes in Virginia

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Data-Driven Prediction of Metal-Organic Dissolution and Adhesion Using Machine Learning

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Triboelectric Nanogenerator for Self-Powered Wearable Sensors

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Understanding the Effectiveness of State-of-the-art Deep Learning Models on Vulnerability Detection

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Invisible Threats: Uncovering UI Security Vulnerabilities in Augmented Reality Platforms

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Evaluating the Effectiveness of Persona Simulation in Opinion Prediction with GPT-4.1

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CORE: A Novel Cost-Effective Operational ROV Explorer

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Monocular Visual SLAM Using YOLO-Based Object Detection and Depth Estimation

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Design of a Dragonfly Inspired Lighter-than-air Vehicle

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Improving PM2.5 Sensor Calibration Using Transformer Model Architecture

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Uncertainty Quantification with Probabilistic Deep Learning Models to Predict Out-of-distribution Events

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The implementation of a Gaussian Process Regressor in a geospatial LSTM model creates optimization in uncertainty quantification

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Enhancing Low-Cost Sensor Reliability for Air Quality Monitoring using Deep Learning and Monte Carlo-based Uncertainty Quantification

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A Comparative Analysis of Kriging and Machine Learning-based Spatial Interpolation Models for Chlorophyll-a Estimation in the Chesapeake Bay

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Digital Twin Framework for Real-Time Computing Infrastructure Monitoring

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Spatially Explicit Mapping and Assessment of Urban Heat Islands Using AI

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Imputing Missing Chlorophyll-a Data in the Chesapeake Bay Region Using Random Forest and KNN Machine Learning Models

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Evaluating the Performance of Three Flood Impact Analysis Tools

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Local Government Approaches to EV Transition: A Comparative Study of Planning, Funding, and Infrastructure in Five U.S. Jurisdictions

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Improving Heart Transplant Outcomes via Statistical Modeling of Mortality

Articles

The Spillover Effect of Chinese Market Volatility on US Technology Stocks.

PyMOCAT-MC: A Python Implementation of the MIT Orbital Capacity Assessment Toolbox Monte Carlo Module

Assessing the Reproducibility and Computational Costs of Management Science  Research Using Intel TDX Secure Environments

Spatial and Statistical Analysis of Crash Frequency and Severity: An Arlington, VA Case Study

Identifying Environment-Based Risk Factors for Crashes in Fairfax County

Evaluating the Impact of Traffic Control Measures on the Severity of School Zone Crashes in Virginia

Data-Driven Prediction of Metal-Organic Dissolution and Adhesion Using Machine Learning

Triboelectric Nanogenerator for Self-Powered Wearable Sensors

Understanding the Effectiveness of State-of-the-art Deep Learning Models on Vulnerability Detection

Invisible Threats: Uncovering UI Security Vulnerabilities in Augmented Reality Platforms

Evaluating the Effectiveness of Persona Simulation in Opinion Prediction with GPT-4.1

CORE: A Novel Cost-Effective Operational ROV Explorer

Monocular Visual SLAM Using YOLO-Based Object Detection and Depth Estimation

Design of a Dragonfly Inspired Lighter-than-air Vehicle

Improving PM2.5 Sensor Calibration Using Transformer Model Architecture

Uncertainty Quantification with Probabilistic Deep Learning Models to Predict Out-of-distribution Events

The implementation of a Gaussian Process Regressor in a geospatial LSTM model creates optimization in uncertainty quantification

Enhancing Low-Cost Sensor Reliability for Air Quality Monitoring using Deep Learning and Monte Carlo-based Uncertainty Quantification

A Comparative Analysis of Kriging and Machine Learning-based Spatial Interpolation Models for Chlorophyll-a Estimation in the Chesapeake Bay

Digital Twin Framework for Real-Time Computing Infrastructure Monitoring

Spatially Explicit Mapping and Assessment of Urban Heat Islands Using AI

Imputing Missing Chlorophyll-a Data in the Chesapeake Bay Region Using Random Forest and KNN Machine Learning Models

Evaluating the Performance of Three Flood Impact Analysis Tools

Local Government Approaches to EV Transition: A Comparative Study of Planning, Funding, and Infrastructure in Five U.S. Jurisdictions

Improving Heart Transplant Outcomes via Statistical Modeling of Mortality

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Articles

The Spillover Effect of Chinese Market Volatility on US Technology Stocks.

PyMOCAT-MC: A Python Implementation of the MIT Orbital Capacity Assessment Toolbox Monte Carlo Module

Assessing the Reproducibility and Computational Costs of Management Science Research Using Intel TDX Secure Environments

Spatial and Statistical Analysis of Crash Frequency and Severity: An Arlington, VA Case Study

Identifying Environment-Based Risk Factors for Crashes in Fairfax County

Evaluating the Impact of Traffic Control Measures on the Severity of School Zone Crashes in Virginia

Data-Driven Prediction of Metal-Organic Dissolution and Adhesion Using Machine Learning

Triboelectric Nanogenerator for Self-Powered Wearable Sensors

Understanding the Effectiveness of State-of-the-art Deep Learning Models on Vulnerability Detection

Invisible Threats: Uncovering UI Security Vulnerabilities in Augmented Reality Platforms

Evaluating the Effectiveness of Persona Simulation in Opinion Prediction with GPT-4.1

CORE: A Novel Cost-Effective Operational ROV Explorer

Monocular Visual SLAM Using YOLO-Based Object Detection and Depth Estimation

Design of a Dragonfly Inspired Lighter-than-air Vehicle

Improving PM2.5 Sensor Calibration Using Transformer Model Architecture

Uncertainty Quantification with Probabilistic Deep Learning Models to Predict Out-of-distribution Events

The implementation of a Gaussian Process Regressor in a geospatial LSTM model creates optimization in uncertainty quantification

Enhancing Low-Cost Sensor Reliability for Air Quality Monitoring using Deep Learning and Monte Carlo-based Uncertainty Quantification

A Comparative Analysis of Kriging and Machine Learning-based Spatial Interpolation Models for Chlorophyll-a Estimation in the Chesapeake Bay

Digital Twin Framework for Real-Time Computing Infrastructure Monitoring

Spatially Explicit Mapping and Assessment of Urban Heat Islands Using AI

Imputing Missing Chlorophyll-a Data in the Chesapeake Bay Region Using Random Forest and KNN Machine Learning Models

Evaluating the Performance of Three Flood Impact Analysis Tools

Local Government Approaches to EV Transition: A Comparative Study of Planning, Funding, and Infrastructure in Five U.S. Jurisdictions

Improving Heart Transplant Outcomes via Statistical Modeling of Mortality

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Assessing the Reproducibility and Computational Costs of Management Science  Research Using Intel TDX Secure Environments