AIMC Journal:
IEEE transactions on neural networks and learning systems

Showing 191 to 200 of 780 articles

Enhancing Chinese Character Representation With Lattice-Aligned Attention.

IEEE transactions on neural networks and learning systems Jul 6, 2023
Word-character lattice models have been proved to be effective for some Chinese natural language processing (NLP) tasks, in which word boundary information is fused into character sequences. However, due to the inherently unidirectional sequential na...
Neural Networks, Computer Language Natural Language Processing Semantics
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Optimal Tracking in Switched Systems With Free Final Time and Fixed Mode Sequence Using Approximate Dynamic Programming.

IEEE transactions on neural networks and learning systems Jul 6, 2023
Optimal tracking in switched systems with fixed mode sequence and free final time is studied in this article. In the optimal control problem formulation, the switching times and the final time are treated as parameters. For solving the optimal contro...
Neural Networks, Computer Learning
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Multi-Constraint Latent Representation Learning for Prognosis Analysis Using Multi-Modal Data.

IEEE transactions on neural networks and learning systems Jul 6, 2023
The Cox proportional hazard model has been widely applied to cancer prognosis prediction. Nowadays, multi-modal data, such as histopathological images and gene data, have advanced this field by providing histologic phenotype and genotype information....
Neural Networks, Computer Prognosis Learning Probability Generalization, Psychological
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A Survey of Sim-to-Real Transfer Techniques Applied to Reinforcement Learning for Bioinspired Robots.

IEEE transactions on neural networks and learning systems Jul 6, 2023
The state-of-the-art reinforcement learning (RL) techniques have made innumerable advancements in robot control, especially in combination with deep neural networks (DNNs), known as deep reinforcement learning (DRL). In this article, instead of revie...
Neural Networks, Computer Learning Robotics Reinforcement, Psychology
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Multi-Scale Hybrid Fusion Network for Single Image Deraining.

IEEE transactions on neural networks and learning systems Jul 6, 2023
Deep learning models have been able to generate rain-free images effectively, but the extension of these methods to complex rain conditions where rain streaks show various blurring degrees, shapes, and densities has remained an open problem. Among th...
Neural Networks, Computer Software Algorithms Image Processing, Computer-Assisted Benchmarking
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Combining Knowledge Graph and Word Embeddings for Spherical Topic Modeling.

IEEE transactions on neural networks and learning systems Jul 6, 2023
Probabilistic topic models are considered as an effective framework for text analysis that uncovers the main topics in an unlabeled set of documents. However, the inferred topics by traditional topic models are often unclear and not easy to interpret...
Neural Networks, Computer Language Bayes Theorem Semantics Pattern Recognition, Automated
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Spatial-Spectral Unified Adaptive Probability Graph Convolutional Networks for Hyperspectral Image Classification.

IEEE transactions on neural networks and learning systems Jul 6, 2023
In hyperspectral image (HSI) classification task, semisupervised graph convolutional network (GCN)-based methods have received increasing attention. However, two problems still need to be addressed. The first is that the initial graph structure in th...
Neural Networks, Computer Learning Sample Size Benchmarking Probability
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An Intelligent Method for Predicting the Pressure Coefficient Curve of Airfoil-Based Conditional Generative Adversarial Networks.

IEEE transactions on neural networks and learning systems Jul 6, 2023
Recently, extensive studies have focused on analyzing aerodynamic performance due to its important impact on aircraft design. Most of these works compute the aerodynamic coefficient of the airfoil through computational fluid dynamics (CFD) simulation...
Neural Networks, Computer Machine Learning Computer Simulation
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Improving the Accuracy of Spiking Neural Networks for Radar Gesture Recognition Through Preprocessing.

IEEE transactions on neural networks and learning systems Jun 1, 2023
Event-based neural networks are currently being explored as efficient solutions for performing AI tasks at the extreme edge. To fully exploit their potential, event-based neural networks coupled to adequate preprocessing must be investigated. Within ...
Neural Networks, Computer Gestures Generalization, Psychological Radar Recognition, Psychology
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Deep Low-Shot Learning for Biological Image Classification and Visualization From Limited Training Samples.

IEEE transactions on neural networks and learning systems May 2, 2023
Predictive modeling is useful but very challenging in biological image analysis due to the high cost of obtaining and labeling training data. For example, in the study of gene interaction and regulation in Drosophila embryogenesis, the analysis is mo...
Neural Networks, Computer Software Image Processing, Computer-Assisted
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