RETRACTED ARTICLE: A Novel QACS Automatic Extraction Algorithm for Extracting Information in Blockchain-Based Systems

W Zhang, M Kaur - IETE Journal of Research, 2023 - Taylor & Francis
We, the Editor, Institution and Publisher of the journal IETE Journal of Research, have
retracted the following article, which is part of the Special Issue titled “Federated Learning for …

Classification of drainage crossings on high-resolution digital elevation models: A deep learning approach

D Wu, R Li, B Rekabdar, C Talbert… - GIScience & Remote …, 2023 - Taylor & Francis
ABSTRACT High-Resolution Digital Elevation Models (HRDEMs) have been used to
delineate fine-scale hydrographic features in landscapes with relatively level topography …

Pareto Optimization of CNN Models via Hardware-Aware Neural Architecture Search for Drainage Crossing Classification on Resource-Limited Devices

Y Li, J Baik, MM Rahman, I Anagnostopoulos… - Proceedings of the SC' …, 2023 - dl.acm.org
Embedded devices, constrained by limited memory and processors, require deep learning
models to be tailored to their specifications. This research explores customized model …

Deep Learning-Based Spatial Detection of Drainage Structures using Advanced Object Detection Methods

S Jalalipour, S Ayyalasomayjula… - 2023 Fifth …, 2023 - ieeexplore.ieee.org
Hydrologic connectivity plays a critical role in understanding and managing environmental
processes. The spatial characterization of hydrologic connectivity often relies on hydro …

Bag-of-Visual-Words Feature Extraction using Graph Convolutional Networks

M Mastour, M Farah - 2024 IEEE 7th International Conference …, 2024 - ieeexplore.ieee.org
Feature representations are the fundamental building blocks for various image analysis
tasks like retrieval and classification. Traditionally, the Bag-of-Visual-Words (BoVW) …

Improving Hydrologic Connectivity Delineation Based on High-Resolution DEMS and Geospatial Artificial Intelligence

D Wu - 2024 - search.proquest.com
Hydrological connectivity is crucial for understanding and managing water resources,
ecological processes, and landscape dynamics. High-Resolution Digital Elevation Models …

[PDF][PDF] Improving flood hazard mapping using global flood model and machine learning

G Zhao - Water Resour. Res, 2015 - research-information.bris.ac.uk
Flooding is one of the most frequent and dangerous natural disasters worldwide. Global
flood models are now considered as a practical tool for flood hazard assessment, with …