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Open AccessDynamic multi-label feature selection algorithm based on label importance and label correlation
Multi-label distribution is a popular direction in current machine learning research and is relevant to many practical problems. In multi-label learning, samples are usually described by high-dimensional featu...
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Open AccessA novel method for measuring center-axis velocity of unmanned aerial vehicles through synthetic motion blur images
Accurate velocity measurement of unmanned aerial vehicles (UAVs) is essential in various applications. Traditional vision-based methods rely heavily on visual features, which are often inadequate in low-light ...
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Open AccessA Multiple Environment Available Path Planning Based on an Improved A* Algorithm
The objective of the path planning for a mobile robot is to generate a collision-free path from a starting position to a target position, aiming to realize a higher quality of path planning, an improved A* alg...
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Open AccessDynamic Color Regulation of the Lycaenid Butterfly Wing Scales
Butterfly coloration originates from the finely structured scales grown on the underlying wing cuticle. Most researchers who study butterfly scales are focused on the static optic properties of cover scales, w...
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Open AccessFuzzy Neural Network Model for Intelligent Course Development in Music and Dance Education
Interactions are mandatory for online or offline music and dance education to improve understandability and learning efficacy. The course designed for such artistic education incorporates multi-point interacti...
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Open AccessVSEM-SAMMI: An Explainable Multimodal Learning Approach to Predict User-Generated Image Helpfulness and Product Sales
Using user-generated content (UGC) is of utmost importance for e-commerce platforms to extract valuable commercial information. In this paper, we propose an explainable multimodal learning approach named the v...
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Open AccessRetraction Note to: A Hierarchical Algorithm Model for the Scheduling Problem of Cold Chain Logistics Distribution Vehicles Based on Machine Vision
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Open AccessSpeech Keyword Spotting Method Based on Swin-Transformer Model
With the rapid advancements in deep learning technology, the Transformer-based attention neural network has shown promising performance in keyword spotting (KWS). However, this method suffers from high computa...
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Open AccessEvent-Based Guidance and Incremental Control with Application to Fixed-wing Unmanned Aerial Vehicle Perched Landing Maneuvers
Considering the nonlinearity and unknown dynamics of fixed-wing unmanned aerial vehicles in perched landing maneuvers, an event-based online guidance and incremental control scheme is proposed. The guidance tr...
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Open AccessShapley value: from cooperative game to explainable artificial intelligence
With the tremendous success of machine learning (ML), concerns about their black-box nature have grown. The issue of interpretability affects trust in ML systems and raises ethical concerns such as algorithmic...
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Open AccessDeep learning enabled seismic fragility evaluation of structures subjected to mainshock-aftershock earthquakes
Mainshock-aftershock earthquakes have gained significant attention since accumulated damages induced by multiple shocks are likely to cause failure of structures. This paper presents a deep learning approach b...
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RETRACTED ARTICLE: Application of structural equation based on big data in Korean automobile industry
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Open AccessResearch and development of indoor positioning technology based on visible light communication
Indoor and underground space positioning and navigation systems are important infrastructure for urban lifeline construction. With the development of 5G communication technology, artificial intelligence, intel...
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Open AccessRETRACTED ARTICLE: Automatic spraying motion planning of a shotcrete manipulator
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Open AccessRETRACTED ARTICLE: A Hierarchical Algorithm Model for the Scheduling Problem of Cold Chain Logistics Distribution Vehicles Based on Machine Vision
With the continuous development of the market economy, the professional degree of the logistics industry is constantly improving, while the logistics distribution industry is also develo** rapidly. The logis...
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Correction to: Total least squares estimation model based on uncertainty theory
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Correction to: Trip purpose inference for tourists by machine learning approaches based on mobile signaling data
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Open AccessSelf-Supervised Learning for Industrial Image Anomaly Detection by Simulating Anomalous Samples
Industrial image anomaly detection (AD) is a critical issue that has been investigated in different research areas. Many works have attempted to detect anomalies by simulating anomalous samples. However, how t...
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Towards accurate prediction of patient length of stay at emergency department: a GAN-driven deep learning framework
Recently, the hospital systems face a high influx of patients generated by several events, such as seasonal flows or health crises related to epidemics (e.g., COVID’19). Despite the extent of the care demands,...
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Open AccessSecurity Energy Efficiency Analysis of CR-NOMA Enabled IoT Systems for Edge-cloud Environment
With the development of the Internet of Things (IoT), more and more devices are connected in edge-cloud environment, and spectrum scarcity has become a major bottleneck for the employment of IoT devices in the...