185 Result(s)
within
Lu**g Sun
Engineering
Artificial Intelligence
Mathematical Logic and Foundations
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Article
An enhanced teaching–learning-based optimization for the flexible job shop scheduling problem considering worker behaviours
In actual workshop scheduling, processing time is influenced by worker behaviours, such as learning, forgetting, fatigue and recovery. However, in the traditional workshop scheduling considering workers, these...
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Article
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 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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Article
An inverse kinematic method for non-spherical wrist 6DOF robot based on reconfigured objective function
The non-spherical 6R manipulators are widely used in many fields. However, the non-spherical structure often poses challenges in the inverse kinematics problem (IKP) for such robots. To address this challenge,...
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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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A novel Gaussian process regression-based stock index interval forecasting model integrating optimal variables screening with bidirectional long short-term memory
Stock index forecasting has always been an interesting subject for investors and related scholars. Accurately stock index forecasting can provide some helpful suggestions for investors and keep financial marke...
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The environmental Kuznets curve hypothesis: an ML approach to assessing economic growth and environmental sustainability using artificial neural network
In recent years, environmental concerns have emerged as significant obstacles to economic advancement, leading to a critical examination of the complex relationship between environmental sustainability and eco...
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Article
Diagnosis of tomato pests and diseases based on lightweight CNN model
Tomato crop yield can be negatively impacted by various diseases and pests. The application of computer vision to diagnose tomato diseases and pests presents two significant challenges. Firstly, the collected ...
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Article
A low-cost, high-performance middleware solution for unified parking management
The parking system is a vital element within intelligent transport systems, playing a pivotal role in alleviating traffic congestion and mitigating associated stress and anxiety. In response to evolving operat...
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Article
A cloud-assisted smart monitoring system for sports activities using SVM and CNN
The emergence of data-driven analytics and intelligent monitoring systems is radically transforming the world of competitive sports. However, robust real-time activity recognition remains elusive for rapid-pac...
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Article
Hybrid LSTM and GAN model for action recognition and prediction of lawn tennis sport activities
Tennis has gained global popularity, prompting a surge in interest towards 3D video-based tennis motion recognition. Early action recognition, which predates activity completion, is a critical classification t...
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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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A data-driven approach for intrusion and anomaly detection using automated machine learning for the Internet of Things
Cyber-attacks and network intrusion have surfaced as major concerns for modern days applications of the Internet of Things (IoT). The existing intrusion detection and prevention techniques have a wide range of...
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Article
Involutes of null Cartan curves and their representations in Minkowski 3-space
The involute–evolute pair is a classic theme, which has great research significance in mathematics and engineering. A Cartan null curve is a curve whose tangent vector is light-like on each point, and its modu...
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Improved path planning algorithm for mobile robots
Path planning is an NP-hard problem in road network environments. Considering that the existing path planning algorithms mainly have the problems of low smoothness and low search efficiency in generating paths...
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Analysis of aerial images for identification of houses using big data, UAV photography and neural network
Computer vision has undergone significant transformation owing to deep learning in the last two decades. Deep convolutional networks have been successfully applied for various applications to learn different t...
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Article
An efficient content extraction method for webpage based on tag-line-block analysis
World Wide Web is a vast information resource that can be used in a broad range of applications. Web content is an efficient way to derive valuable information from webpages, and many efforts have been made on...
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Article
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...
