AIMC Journal:
IEEE transactions on neural networks and learning systems

Showing 171 to 180 of 780 articles

A Framework for Deep Learning Emulation of Numerical Models With a Case Study in Satellite Remote Sensing.

IEEE transactions on neural networks and learning systems Jul 6, 2023
Numerical models based on physics represent the state of the art in Earth system modeling and comprise our best tools for generating insights and predictions. Despite rapid growth in computational power, the perceived need for higher model resolution...
Neural Networks, Computer Machine Learning Deep Learning Remote Sensing Technology Cocaine
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High-Fidelity Permeability and Porosity Prediction Using Deep Learning With the Self-Attention Mechanism.

IEEE transactions on neural networks and learning systems Jul 6, 2023
Accurate estimation of reservoir parameters (e.g., permeability and porosity) helps to understand the movement of underground fluids. However, reservoir parameters are usually expensive and time-consuming to obtain through petrophysical experiments o...
Neural Networks, Computer Algorithms Deep Learning Porosity Permeability
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Class-Wise Subspace Alignment-Based Unsupervised Adaptive Land Cover Classification in Scene-Level Using Deep Siamese Network.

IEEE transactions on neural networks and learning systems Jul 6, 2023
In this article, an unsupervised domain adaptation strategy has been investigated using a deep Siamese neural network in scene-level land cover classification using remotely sensed images. At the onset, the soft class label and probability scores of ...
Neural Networks, Computer Algorithms Adaptation, Physiological
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A Vision Transformer Model for Convolution-Free Multilabel Classification of Satellite Imagery in Deforestation Monitoring.

IEEE transactions on neural networks and learning systems Jul 6, 2023
Understanding the dynamics of deforestation and land uses of neighboring areas is of vital importance for the design and development of appropriate forest conservation and management policies. In this article, we approach deforestation as a multilabe...
Neural Networks, Computer Conservation of Natural Resources Satellite Imagery
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DnRCNN: Deep Recurrent Convolutional Neural Network for HSI Destriping.

IEEE transactions on neural networks and learning systems Jul 6, 2023
In spite of achieving promising results in hyperspectral image (HSI) restoration, deep-learning-based methodologies still face the problem of spectral or spatial information loss due to neglecting the inner correlation of HSI. To address this issue, ...
Neural Networks, Computer
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A Self-Supervised Deep Learning Approach for Blind Denoising and Waveform Coherence Enhancement in Distributed Acoustic Sensing Data.

IEEE transactions on neural networks and learning systems Jul 6, 2023
Fiber-optic distributed acoustic sensing (DAS) is an emerging technology for vibration measurements with numerous applications in seismic signal analysis, including microseismicity detection, ambient noise tomography, earthquake source characterizati...
Neural Networks, Computer Deep Learning Acoustics Heart Rate
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Physics-Guided Generative Adversarial Networks for Sea Subsurface Temperature Prediction.

IEEE transactions on neural networks and learning systems Jul 6, 2023
Sea subsurface temperature, an essential component of aquatic wildlife, underwater dynamics, and heat transfer with the sea surface, is affected by global warming in climate change. Existing research is commonly based on either physics-based numerica...
Neural Networks, Computer Machine Learning Temperature China Physics
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Neural-Network-Based Adaptive Control of Uncertain MIMO Singularly Perturbed Systems With Full-State Constraints.

IEEE transactions on neural networks and learning systems Jul 6, 2023
This article investigates the tracking control problem for a class of nonlinear multi-input-multi-output (MIMO) uncertain singularly perturbed systems (SPSs) with full-state constraints. The underlying issues become more challenging because two-time-...
Neural Networks, Computer Nonlinear Dynamics Uncertainty
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StateNet: Deep State Learning for Robust Feature Matching of Remote Sensing Images.

IEEE transactions on neural networks and learning systems Jul 6, 2023
Seeking good correspondences between two images is a fundamental and challenging problem in the remote sensing (RS) community, and it is a critical prerequisite in a wide range of feature-based visual tasks. In this article, we propose a flexible and...
Neural Networks, Computer Algorithms Image Processing, Computer-Assisted Remote Sensing Technology
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Synchronization of Uncertain Coupled Neural Networks With Time-Varying Delay of Unknown Bound via Distributed Delayed Impulsive Control.

IEEE transactions on neural networks and learning systems Jul 6, 2023
This article investigates the issue of synchronization for a type of uncertain coupled neural networks (CNNs) involving time-varying delay with unmeasured or unknown bound by delayed impulsive control with distributed delay. A new Halanay-like delaye...
Neural Networks, Computer Computer Simulation Time Factors Uncertainty
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