Preprints
Filtering by Subject: Computer Engineering
Coupled Physics-Based and Machine Learning Streamflow Modeling with High-Resolution Flood Inundation and Impact Assessment for Hurricane Florence (2018): A Case Study of the Neuse River at Goldsboro, North Carolina
Published: 2026-09-18
Subjects: Computer Engineering, Earth Sciences, Education, Engineering, Environmental Monitoring, Planetary Hydrology, Probability
Hurricane Florence made landfall in North Carolina in September 2018 and produced record or near-record river stages across the Neuse River basin, including at United States Geological Survey (USGS) gauge 02089000 near Goldsboro. This study presents an end-to-end hydrological and floodmapping workflow that couples a semi-distributed, physics-based rainfall-runoff model (Physics V3.5) and a [...]
Deep Learning-Based Meteorological Data Downscaling: A Comparative Study with Physics Informed CNN and a Component-Level Ablation Analysis
Published: 2026-08-29
Subjects: Computer Engineering, Earth Sciences, Oceanography and Atmospheric Sciences and Meteorology, Physical Sciences and Mathematics
Meteorological statistical downscaling is a critical technique for deriving high-resolution climate information from coarse global reanalysis products. This experiment investigates the application of five representative deep learning architectures for downscaling ERA5 reanalysis 2m temperature fields from 1° to 0.25° spatial resolution (4x upscaling factor) over the China region, spanning the [...]
Field-scale sugarcane mapping in Thailand by fusing annual satellite embeddings with a global field-boundary model, cross-checked against mill weighbridge records
Published: 2026-08-15
Subjects: Computer and Systems Architecture, Computer Engineering, Engineering
Sugarcane in Thailand is grown almost entirely by smallholders who deliver to mills under seasonal contracts, so the quantities that matter to planning are properties of individual fields rather than of pixels. Published Thai cane maps are per-pixel classifications, and global cane products perform markedly worse in Thailand than elsewhere because cane is confused with cassava. Whether the global [...]
Pixel-Level Urban Housing-Price Mapping Based on AlphaEarth Foundations: Evidence from 36 Chinese Cities
Published: 2026-07-04
Subjects: Computer Engineering, Computer Sciences, Geographic Information Sciences, Human Geography, Remote Sensing
This study develops and validates a multi-source modelling framework for continuous, pixel-level urban housing-price mapping using surface embeddings from AlphaEarth Foundations (AEF). Pixel-level labels calibrated against multi-source market data are constructed for 288 city–year samples across 36 Chinese cities (2017–2024), and AEF’s 64-dimensional, 10 m annual surface embeddings are [...]
PharmGuard: A blockchain and LLM-integrated framework with provenance-aware anomaly scoring for securing pharmaceutical supply chains
Published: 2026-04-09
Subjects: Computer Engineering
Counterfeit and substandard medicines remain a major global health threat, underscoring the need for end-to-end traceability and proactive monitoring across pharmaceutical supply chains. This paper presents PharmGuard, a framework that combines a permissioned blockchain ledger (Hyperledger Fabric) for tamper-evident provenance with a large-language-model analytics layer for detecting anomalous [...]
Survey Protocol Cards for Crop Maps
Published: 2026-04-04
Subjects: Agriculture, Computer Engineering
Crop type maps underpin food security decisions yet their accuracy depends on label quality, which in turn depends on survey design choices made under tight budgets. Survey planners must allocate limited resources across GPS devices, stratification strategies, sample size, worker training, and verification protocols, but lack quantitative guidance on which investments yield quality crop maps. We [...]
DHAFGan: A Dense Hybrid Attention Fusion Generative Adversarial Network for Infrared and Visible Image Fusion
Published: 2026-03-21
Subjects: Computer Engineering
Aiming at the problems existing in the current infrared and visible light image fusion algorithms, such as insufficient perception of typical features, poor visual representation of the fusion results, and insufficient utilization of important secondary information, this paper proposes an infrared and visible light image fusion algorithm based on shallow-deep feature extraction and dual-channel [...]
HydroVerse Education: An AI-Assisted Education Framework for Immersive Learning and Training Environments
Published: 2025-12-22
Subjects: Adult and Continuing Education, Computer Engineering, Educational Methods, Engineering Education, Environmental Education, Environmental Engineering, Environmental Sciences
Hydroinformatics education has traditionally been constrained by pedagogical approaches that fail to adequately convey the complexity of water systems. Virtual Reality (VR) presents a transformative solution by enabling interactive and experiential learning. This study introduces HydroVerse Education, an immersive virtual classroom environment designed to modernize hydroinformatics education by [...]
HydroVerse VR Equipment Hub: An Integrated Virtual Reality Framework for Training and Workforce Development in Environmental Monitoring
Published: 2025-10-21
Subjects: Adult and Continuing Education, Computer Engineering, Educational Methods, Engineering Education, Environmental Education, Environmental Engineering, Environmental Monitoring
Environmental monitoring is critical for managing ecosystems and addressing global challenges such as climate change and pollution. However, training professionals in this field is often hampered by remote locations, hazardous field conditions, and limited access to specialized equipment. In response, this paper presents the HydroVerse VR Equipment Hub, an immersive virtual reality framework for [...]
Smart Urban Design with Physics-Informed Neural Networks: Quantifying Temperature Reductions from Green Infrastructure Using Satellite Thermal Data
Published: 2025-10-19
Subjects: Civil and Environmental Engineering, Computer Engineering, Engineering, Environmental Engineering
Urban Heat Islands (UHIs), characterised by elevated temperatures in densely built environments, pose critical challenges to urban sustainability, public health, and energy resilience. Mitigating UHIs requires precise quantification of the cooling effects of green infrastructure; however, existing models often fail to integrate high-resolution geospatial data with physical laws. This study [...]
Vector Graphics-Based Geospatial Contour Maps: A Web-Native Interactive Approach for Modern Geospatial Data Science Applications
Published: 2025-10-13
Subjects: Computer Engineering, Computer Sciences, Earth Sciences, Engineering, Environmental Sciences, Graphics and Human Computer Interfaces
Visualizing scalar fields (e.g., temperature, precipitation etc.) on the web is often done via pre‑rendered raster tiles. While simple to serve and fast to access, rasters limit interactivity (feature picking, dynamic styling) and typically require heavy pre‑generation pipelines. Raster tiles remain the dominant method for web-based scalar field visualization, but they are storage-heavy and [...]
Unsupervised Concept Discovery for Deep Weather Forecast Models with High-Resolution Radar Data
Published: 2025-05-01
Subjects: Computer Engineering
The global climate crisis is creating increasingly complex rainfall patterns, leading to a rising demand for data-driven artificial intelligence (AI) in short-term weather forecasting. However, the black-box nature of AI models act as a critical obstacle against their integration into existing forecasting operations. This study addresses this issue by implementing an explainable AI framework that [...]
City-Scale Digital Twin Framework for Flood Impact Analysis: Integrating Urban Infrastructure and Real-time Data Analytics
Published: 2025-03-17
Subjects: Computer Engineering, Environmental Engineering, Risk Analysis, Transportation Engineering
Urban areas are increasingly vulnerable to flooding due to climate change and rapid urbanization. Traditional mapping and decision-support tools lack the capability to integrate real-time data or analyze cascading disruptions across interconnected urban systems. Digital twins offer a promising solution by enabling real-time monitoring, simulation, and optimization of urban environments. This [...]
AI-Driven Decision-Making for Water Resources Planning and Hazard Mitigation Using Automated Multi Agents
Published: 2024-12-27
Subjects: Civil Engineering, Computational Engineering, Computer and Systems Architecture, Computer Engineering, Ecology and Evolutionary Biology, Education, Engineering, Environmental Engineering, Geotechnical Engineering, Higher Education, Hydraulic Engineering, Operations Research, Systems Engineering and Industrial Engineering, Risk Analysis, Scholarship of Teaching and Learning, Systems Engineering, Terrestrial and Aquatic Ecology, Transportation Engineering
This project simulates the Multi-Hazard Tournament (MHT) framework, a decision support system designed for the U.S. Army Corps of Engineers, using AI agents to enhance decisionmaking processes for flood mitigation and water resource management. The objective of the framework is to develop optimal strategies for protecting water resources, habitats, and communities within a defined budget. The [...]
HydroSuite-AI: Facilitating Hydrological Research with LLM-Driven Code Assistance
Published: 2024-11-26
Subjects: Civil Engineering, Computational Engineering, Computer Engineering, Environmental Engineering, Science and Mathematics Education, Systems and Communications
In the hydrology and environmental domains, researchers often encounter complex hydrological models, evolving frameworks and libraries, and complex documentation, which necessitate both domain knowledge and coding expertise. This paper introduces HydroSuite-AI, a large language model-enhanced web application designed to address these challenges by integrating three open-source libraries: [...]