[HTML][HTML] UnTDIP: Unsupervised neural network for DEM super-resolution integrating terrain knowledge and deep prior

X Zhang, W Zhang, S Guo, P Zhang, H Fang… - International Journal of …, 2023 - Elsevier
Abstract Digital Elevation Models (DEMs) are essential for comprehending the three-
dimensional (3D) structure of the Earth's surface. When the resolution of airborne or satellite …

[HTML][HTML] Canonical cortical graph neural networks and its application for speech enhancement in audio-visual hearing aids

LA Passos, JP Papa, A Hussain, A Adeel - Neurocomputing, 2023 - Elsevier
Despite the recent success of machine learning algorithms, most models face drawbacks
when considering more complex tasks requiring interaction between different sources, such …

Enhancing Remote Sensing Image Quality through Data Fusion and Synthetic Aperture Radar (SAR): A Comparative Analysis of CNN, Lightweight ConvNet, and …

DP Anggreyni, AM Arymurthy… - Jurnal Online …, 2024 - join.if.uinsgd.ac.id
Remote sensing technology benefits many parties, especially for carrying out land
surveillance with comprehensive coverage without needing to move the equipment close to …

Canonical cortical graph neural networks and its application for speech enhancement in future audio-visual hearing aids

LA Passos, JP Papa, A Hussain… - Available at SSRN …, 2022 - papers.ssrn.com
Despite the recent success of machine learning algorithms, most of these models still face
several drawbacks when considering more complex tasks requiring interaction between …

Intelligent IoT security monitoring based on fuzzy optimum-path forest classifier

Y Xu, RWR de Souza, EP Medeiros, N Jain, L Zhang… - Soft Computing, 2023 - Springer
Detection of intrusions in Internet of Things networks is essential to maintain the availability
and integrity of the data generated and transmitted by connected devices. Such a procedure …