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3,615 Result(s)
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Cross-organizational data exchange based on consortium blockchain with consistency guarantee
Effective data exchange holds the potential to bridge information gaps between organizations, creating essential prerequisites for enhanced collaboration. However, in cross-organizational database systems, ens...
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Technological solutions to foster preschool children’s spatial ability: A situational interactive e-book approach
Spatial ability is a significant component of mathematical ability and a foundation for children to master mathematical knowledge. Although many studies have confirmed that technology can enhance children’s le...
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Label distribution feature selection based on label-specific features
Label distribution learning, where deal with label ambiguity by describing the degree of relevance of each label to a specific instance. As a novel machine learning paradigm, the curse of dimensionality is one...
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Deep learning-based classification and application test of multiple crop leaf diseases using transfer learning and the attention mechanism
Crop diseases are among the major natural disasters in agricultural production that seriously restrict the growth and development of crops, threatening food security. Timely classification, accurate identifica...
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Context-aware adaptive network for UDA semantic segmentation
Unsupervised Domain Adaptation (UDA) plays a pivotal role in enhancing the segmentation performance of models in the target domain by mitigating the domain shift between the source and target domains. However,...
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Effective multi-scale enhancement fusion method for low-light images based on interest-area perception OCTM and “pixel healthiness” evaluation
Low-light images suffer from low contrast and low dynamic range. However, most existing single-frame low-light image enhancement algorithms are not good enough in terms of detail preservation and color express...
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Multi-scale deep echo state network for time series prediction
Echo state network (ESN) has widely attracted many researchers due to its training process without backpropagation. However, it is hard for single ESN to fit those complex and polytrophic situations. Under thi...
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GAN-GA: infrared and visible image fusion generative adversarial network based on global awareness
The current generative adversarial network (GAN)-based methods for infrared and visible image fusion often overlook global information, leading to inappropriate distribution of fused images in terms of infrare...
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Semi-supervised feature selection based on discernibility matrix and mutual information
Feature selection is a vital technique for reducing data dimensionality. While many granular computing-based feature selection algorithms have been proposed, most have been regarded as a supervised learning ta...
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On Bose distance of a class of BCH codes with two types of designed distances
BCH codes are an interesting class of cyclic codes with good error-correcting capability and have wide applications in communication and storage systems due to their efficient encoding and decoding algorithms....
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MDS codes with l-Galois hulls of arbitrary dimensions
The hull of a linear code is defined to be the intersection of the code and its dual, and was originally introduced to classify finite projective planes. The objective of this paper is to construct some MDS co...
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RDGMEF: a multi-exposure image fusion framework based on Retinex decompostion and guided filter
The multi-exposure image fusion (MEF) technique directly fuses a series of images with the same scene but different exposure levels into one high-quality image with more scene details. Presently, most MEF algo...
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MMUIL: enhancing multi-platform user identity linkage with multi-information
User identity linkage (UIL) aims to link identities belonging to the same individual across various platforms. While numerous methods have been proposed for paired or multiple platforms, UIL is still a non-tri...
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Open AccessEnhancing rural students’ computer science self-efficacy in a robotics-based language arts course
Integrating computer science (CS) content into existing STEM curricula emerges as a viable solution to broadening rural students’ participation in CS, but rural students have a significant proficiency gap in s...
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GGC-SLAM: a VSLAM system based on predicted static probability of feature points in dynamic environments
Most existing Visual Simultaneous Localization and Map** (VSLAM) systems heavily rely on the assumption of a static world. However, in real-world scenarios, moving objects often reduce the accuracy and robus...
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A human–robot interaction control strategy for teleoperation robot system under multi-scenario applications
The teleoperation robot system (TRS) stands as a prominent research frontier within robot control, amalgamating human decision-making capacity with robot operation, thus markedly enhancing safety and precision...
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An adaptive boundary-based selection many-objective evolutionary algorithm with density estimation
Many-objective evolutionary algorithms often struggle to strike a balance between convergence and diversity when solving many-objective optimization problems. Consequently, an adaptive boundary-based selection...
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A dual-band wireless communication of spoof plasmonic meta-waveguide
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Enhancing differential evolution algorithm with a fitness-distance-based selection strategy
Since the introduction of differential evolution (DE) algorithms, they have achieved remarkable success in the field of evolutionary algorithms and engineering applications. In single-objective DE algorithms, ...
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A real-time PCB defect detection model based on enhanced semantic information fusion
Aiming at the problem of poor balance between real-time and performance of existing PCB board defect detection algorithms, this paper proposes a fast PCB board detection model based on enhanced semantic inform...