782 Result(s)
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Article
Cross-Architecture Knowledge Distillation
The Transformer network architecture has gained attention due to its ability to learn global relations and its superior performance. To boost performance, it is natural to distill complementary knowledge from ...
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CMEFS: chaotic map**-based mayfly optimization with fuzzy entropy for feature selection
Swarm intelligence algorithms availably settle the issue of feature selection for classification, whereas the Mayfly Optimization Algorithm (MOA) proposed in recent years has the superiority of high precision,...
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CD-iNet: Deep Invertible Network for Perceptual Image Color Difference Measurement
Image color difference (CD) measurement, a crucial concept in color science and imaging technology, aims to quantify the perceived difference between two colors. Most widely recognized CD formulae are recommen...
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Open AccessRetraction Note: Using hardware counter-based performance model to diagnose scaling issues of HPC applications
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Multi-source-free Domain Adaptive Object Detection
To enhance the transferability of object detection models in real-world scenarios where data is sampled from disparate distributions, considerable attention has been devoted to domain adaptive object detection...
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Towards Unified Defense for Face Forgery and Spoofing Attacks via Dual Space Reconstruction Learning
Real-world face recognition systems are vulnerable to diverse face attacks, ranging from digitally manipulated artifacts to physically crafted spoofing attacks. Existing works primarily focus on using an image...
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Open AccessGraph neural networks for text classification: a survey
Text Classification is the most essential and fundamental problem in Natural Language Processing. While numerous recent text classification models applied the sequential deep learning technique, graph neural n...
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Improved optimal foraging algorithm for global optimization
The optimal foraging algorithm (OFA) is a swarm-based algorithm motivated by animal behavioral ecology theory. When solving complex optimization problems characterized by multiple peaks, OFA is easy to get tra...
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Multi-example query over ontology-label knowledge graphs
Multi-example query over knowledge graphs allows users to provide multiple example fragments to express their intention, overcoming the shortage of single example query asks users to give a specific complete q...
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A hybrid depression detection model and correlation analysis for social media based on attention mechanism
As a serious mental illness, depression can be extremely harmful to the physical and mental health of individuals. However, detecting depression can be challenging due to the reluctance of the depressed to act...
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Luminance domain-guided low-light image enhancement
Images captured under low-light conditions often suffer from low contrast, high noise, and uneven brightness due to nightlight, backlight, and shadow. These challenges make it difficult to use them as high-qua...
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A New Approach for Payoffs Distribution Based on Borda-MULTIMOORA Method Under q-Rung Interval-Valued Orthopair Fuzzy Environment
How to reasonably distribute the final payoffs to each enterprise alliance participating in cooperation is one of the hottest issues in cooperative game problems. Notably, existing scholarly investigations add...
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Power Dombi Aggregation Operators for Complex Pythagorean Fuzzy Sets and Their Applications in Green Supply Chain Management
Green supply chain management concerns the incorporation of globally sustainable methods into supply chain management techniques. The major goal is to decrease the environmental impact of the entire supply cha...
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Joint recognition for location and activity based on multidimensional features of CSI images
The joint recognition technology of location and activity, leveraging CSI (Channel State Information), finds widespread applications in domains such as human-computer interaction and smart homes, owing to the ...
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Open AccessPrimitiveNet: decomposing the global constraints for referring segmentation
In referring segmentation, modeling the complicated constraints in the multimodal information is one of the most challenging problems. As the information in a given language expression and image becomes increa...
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Research on Pricing of Data Based on Bi-level Programming Model
Effective value measurement and pricing methods can greatly promote the healthy development of data sharing, exchange and reuse. However, the uncertainty of data value and neglect of interactivity lead to info...
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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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Open AccessImproving PID Controller Performance in Nonlinear Oscillatory Automatic Generation Control Systems Using a Multi-objective Marine Predator Algorithm with Enhanced Diversity
Power systems are pivotal in providing sustainable energy across various sectors. However, optimizing their performance to meet modern demands remains a significant challenge. This paper introduces an innovati...
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Open AccessEquilibrium optimizer-based harmony search algorithm with nonlinear dynamic domains and its application to real-world optimization problems
Harmony Search (HS) algorithm is a swarm intelligence algorithm inspired by musical improvisation. Although HS has been applied to various engineering problems, it faces challenges such as getting trapped in l...
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3D shape classification based on global and local features extraction with collaborative learning
It is important to extract both global and local features for view-based 3D shape classification. Therefore, we propose a 3D shape classification method based on global and local features extraction with colla...
