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   Articles with "broad learning" as a keyword



Privacy-preserving vertical federated broad learning system for artificial intelligence generated image content

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recommendations! Published in 2024 at "Journal of Real-Time Image Processing"

DOI: 10.1007/s11554-023-01393-6

Abstract: Artificial intelligence generated image content generates desired image content according to given instructions. It is widely applied in digital marketing, video game design, and movie production. How to efficiently detect the quality of the generated… read more here.

Keywords: image; broad learning; learning system; image content ... See more keywords

CNN-based Broad Learning with Efficient Incremental Reconstruction Model for Facial Emotion Recognition

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recommendations! Published in 2020 at "IFAC-PapersOnLine"

DOI: 10.1016/j.ifacol.2020.12.2754

Abstract: Abstract Convolutional neural network-based broad learning with efficient incremental reconstruction model (CNNBL) is proposed to recognize emotions in human-robot interaction. It aims to extract deep and abstract features from facial emotional images, and reduce the… read more here.

Keywords: broad learning; based broad; emotion recognition; recognition ... See more keywords
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Quaternion broad learning system: A novel multi-dimensional filter for estimation and elimination tremor in teleoperation

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recommendations! Published in 2020 at "Neurocomputing"

DOI: 10.1016/j.neucom.2019.10.059

Abstract: Abstract In this paper, a novel quaternion broad learning system is proposed in this paper for tremor estimation and elimination in teleoperation. In the new proposed QBLS, the architecture can be divided into three layers,… read more here.

Keywords: quaternion; broad learning; layer; learning system ... See more keywords

Broad learning system for semi-supervised learning

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recommendations! Published in 2021 at "Neurocomputing"

DOI: 10.1016/j.neucom.2021.02.059

Abstract: Abstract As an emerging technique for supervised learning, broad learning system (BLS) has been proved to have many advantages such as fast learning speed, good generalization, etc. However, it is difficult for BLS to perform… read more here.

Keywords: learning system; bls; semi supervised; supervised learning ... See more keywords

Broad learning control of a two-link flexible manipulator with prescribed performance and actuator faults

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recommendations! Published in 2023 at "Robotica"

DOI: 10.1017/s026357472200176x

Abstract: Abstract In this paper, we present a broad learning control method for a two-link flexible manipulator with prescribed performance (PP) and actuator faults. The trajectory tracking errors are processed through two consecutive error transformations to… read more here.

Keywords: control; manipulator; learning control; broad learning ... See more keywords

Transformer-assisted broad learning for hybrid intelligence-based skin cancer segmentation

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recommendations! Published in 2025 at "Scientific Reports"

DOI: 10.1038/s41598-025-19465-x

Abstract: With the rise of Transformer architectures, deep learning applications have gradually shifted from traditional convolutional neural networks to Transformers based on self-attention mechanisms. In tasks such as image classification, segmentation, and detection, pure Transformer models… read more here.

Keywords: segmentation; broad learning; transformer assisted; transformer ... See more keywords
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Broad Learning System for Nonparametric Modeling of Clay Parameters

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recommendations! Published in 2020 at "ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering"

DOI: 10.1061/ajrua6.0001066

Abstract: AbstractDue to the complex and uncertain nature of geomaterial properties, establishing representative parametric models between clay parameters is a challenging task. Nonparametric machine learnin... read more here.

Keywords: broad learning; nonparametric modeling; learning system; clay parameters ... See more keywords

Hyperspectral image classification based on local binary pattern and broad learning system

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recommendations! Published in 2020 at "International Journal of Remote Sensing"

DOI: 10.1080/01431161.2020.1798553

Abstract: ABSTRACT In the hyperspectral classification, the combination of spectral information and spatial information has received more attention. Especially in the deep learning methods, massive spatial-spectral features which are helpful for improving the classification performance can… read more here.

Keywords: broad learning; classification; information; learning system ... See more keywords

An imbalanced sample intelligent fault diagnosis method using data enhancement and improved broad learning system

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recommendations! Published in 2023 at "Measurement Science and Technology"

DOI: 10.1088/1361-6501/acca37

Abstract: Broad learning system (BLS) has been widely applied in the field of fault diagnosis because of its high computational efficiency, simple structure, and strong interpretability. However, traditional BLS cannot extract deep level fault features. Meanwhile,… read more here.

Keywords: fault diagnosis; feature; fault; broad learning ... See more keywords

Rich Feature Combination for Cost-Based Broad Learning System

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recommendations! Published in 2019 at "IEEE Access"

DOI: 10.1109/access.2018.2885164

Abstract: Broad learning system (BLS) is an emerging learning algorithm for the connectionist models, which have enjoyed much popularity on many applications. As an alternative approach of learning in deep structure, the BLS develops an incremental… read more here.

Keywords: learning system; bls; feature; cost ... See more keywords

A Novel Broad Learning Model-Based Semi-Supervised Image Classification Method

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recommendations! Published in 2020 at "IEEE Access"

DOI: 10.1109/access.2020.3003916

Abstract: Broad learning system (BLS) is an effective and efficient incremental learning system without the deep architecture. It has strong feature extraction ability and high computational efficiency. However, it is greatly limited in the applicability of… read more here.

Keywords: image classification; semi supervised; flap bls; classification ... See more keywords