5,412 Result(s)
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Artificial Intelligence
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Article
Dual-AutoEncoder & Bipartite Graph Embedding for article recommendation
Existing methods in article recommendation fail to fully use the article information, or pay less attention to the correlations among articles and "User-Article"s, resulting in inaccurate recommendation perfor...
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A new educational grading system based on fuzzy techniques
In this article, the authors propose a new educational grading system based on fuzzy techniques, which includes five interrelated modules. Through an example to illustrate the process of the proposed fuzzy edu...
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Correction: Learning sample-aware threshold for semi-supervised learning
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Differentially private federated learning with non-IID data
In Differentially Private Federated Learning (DPFL), gradient clip** and random noise addition disproportionately affect statistically heterogeneous data. As a consequence, DPFL has a disparate impact: the a...
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Open AccessSemantic guidance incremental network for efficiency video super-resolution
In video streaming, bandwidth constraints significantly affect client-side video quality. Addressing this, deep neural networks offer a promising avenue for implementing video super-resolution (VSR) at the use...
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Deep reinforcement learning framework for end-to-end semiconductor process control
This work focuses on bringing state-of-the-art artificial intelligence and deep reinforcement learning to the manufacturing of semiconductor devices. The main goal of this research is to lay down the foundatio...
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The error sample feature compensation method for improving the robustness of underwater classification and recognition models
With the intensification of ocean exploration and development in recent years, the navigation equipment in the marine environment has become increasingly diversified, making the marine environment more complex...
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Learning to detect extreme objects for remote sensing images
The scale and shape of objects in remote sensing images varies greatly, and thus the object detection of remote sensing image has always been a relatively challenging task. Focusing on the problem of multi-sca...
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A three-in-one dynamic shared bicycle demand forecasting model under non-classical conditions
Bicycle sharing systems are becoming highly popular and there have accumulated a large volume of users’ trajectory data. In a bicycle sharing system, most users’ borrowing and returning behaviors are arbitrary...
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A fuzzy rough set-based undersampling approach for imbalanced data
How to effectively handle imbalanced data is one of the hot issues in the fields of machine learning and data mining. Undersampling is a popular technique of dealing with imbalanced data. The aim of undersampl...
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Open AccessPANet: Pluralistic Attention Network for Few-Shot Image Classification
Traditional deep learning methods require a large amount of labeled data for model training, which is laborious and costly in real word. Few-shot learning (FSL) aims to recognize novel classes with only a smal...
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A dynamic spectrum access algorithm based on deep reinforcement learning with novel multi-vehicle reward functions in cognitive vehicular networks
As a revolution in the field of transportation, the demand for communication of vehicles is increasing. Therefore, how to improve the success rate of vehicle spectrum access has become a major problem to be so...
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Article
ETQ-learning: an improved Q-learning algorithm for path planning
Path planning algorithm has always been the core of intelligent robot research; a good path planning algorithm can significantly enhance the efficiency of robots in executing tasks. As the application scenario...
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Some Operators Based on qth Rung Root Orthopair Fuzzy Sets and Their Application in Multi-criteria Decision Making
Intuitionistic fuzzy sets have been widely studied and applied as an important means of dealing with information uncertainty. However, the existing intuitionistic fuzzy sets and their extension methods are lim...
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Open AccessEfficiency optimization methods for stochastic configuration networks
To solve the problems of the low efficiency of parameter allocation and time-consuming computation of output weights in the hidden layers of stochastic configuration networks (SCNs), an optimization method is ...
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Efficient identification technique for 2-additive fuzzy measures with consideration of objective relationships among features
The purpose of this paper is to develop an efficient identification technique for 2-additive fuzzy measures with a deep understanding of objective relationships among features. More efforts are made to achieve...
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Visual Out-of-Distribution Detection in Open-Set Noisy Environments
The presence of noisy examples in the training set inevitably hampers the performance of out-of-distribution (OOD) detection. In this paper, we investigate a previously overlooked problem called OOD detection ...
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Graph analysis using a GPU-based parallel algorithm: quantum clustering
The article introduces a new method for applying Quantum Clustering to graph structures. Quantum Clustering (QC) is a density-based unsupervised learning method that determines cluster centers by constructing ...
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FMDADA: Federated multi-discriminative adversarial domain adaptation
Federated domain adaptation system aims to address the problem of domain shift in a federated learning (FL) framework, where knowledge learned from distributed source domains can be readily transferred to the ...
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An effective two-stage training scheme for boundary decision of imbalanced samples
How to categorize imbalanced data is an active research direction in data mining and machine learning research areas. In order to dynamically reduce the negative influence of imbalanced samples on the loss in ...
