289 Result(s)
within
English
Engineering
Computational Intelligence
Mathematical Logic and Foundations
Su** Zhao
Article
-
Article
Structure identification of missing data: a perspective from granular computing
Missing data are frequently encountered in reality, which inevitably poses great challenges to data mining techniques devoted to data structure identification. In view of the fact that missing data generally e...
-
Article
Can LSH (locality-sensitive hashing) be replaced by neural network?
With the rapid development of GPU (graphics processing unit) technologies and neural networks, we can explore more appropriate data structures and algorithms. Recent progress shows that neural networks can par...
-
Article
SFD-SR: strengthened feature description and stabilized re-detection-based infrared small–dim target tracking algorithm
Infrared small and dim target has posed great challenges on the target detection and tracking, especially for early warning, navigation and guidance. However, most common tracking algorithms are inefficient fo...
-
Article
Integrated framework to integrate Spark-based big data analytics and for health monitoring and recommendation in sports using XGBoost algorithm
In recent years, technological advancements have been replicated in various industries, including sports medicine. Recent developments, such as big data analytics and data mining, which have revolutionized med...
-
Article
The Solidarity value for fuzzy cooperative games with multi-granularity linguistic participation levels
With the increasingly fierce market competition, enterprises hope to enhance their competitiveness through cooperation. In view of the uncertainty of coalitions formation in the real environment, the rational ...
-
Article
IoT-enabled co-integration analysis of foreign trade and environmental sustainability in Quanzhou city
The Internet of Things (IoT) has significantly impacted international trade, benefiting national and international economies. It has increased trade and financial liberalization in many countries. Ecological a...
-
Article
YOLOv5-CSF: an improved deep convolutional neural network for flame detection
Fire is a multiple and destructive disaster that usually results in great loss of life and property. Therefore, early detection of fire can help minimize mortality and reduce the risk to ecosystems and propert...
-
Article
A multi-period fuzzy portfolio optimization model with investors’ loss aversion
This paper considers the problem of how to construct the optimal multi-period portfolio for investors with loss aversion in fuzzy environment. Firstly, we regard the return rates of the risky assets as fuzzy n...
-
Article
Open AccessRETRACTED ARTICLE: Unmanned Vehicle Fusion Positioning Technology Based on “5G + Beidou” and 3D Point Cloud Image
Unmanned vehicles need to know their location and direction information accurately to plan and navigate their paths. However, the positioning system is susceptible to interference from a variety of factors, wh...
-
Article
A hybrid CEEMD-GMM scheme for enhancing the detection of traffic flow on highways
Many highways are acquiring smart transportation systems to improve traffic efficiency, safety and management. Intelligent transportation systems can monitor traffic congestion by providing estimated time of a...
-
Article
A Method of Inertial Regularized ADMM for Separable Nonconvex Optimization Problems
The alternating direction method of multipliers (ADMM) is an effective algorithm for solving optimization problems with separable structures. Recently, inertial technique has been widely used in various algori...
-
Article
Biomedical event causal relation extraction based on a knowledge-guided hierarchical graph network
Biomedical Event Causal Relation Extraction (BECRE) is a challenging task in biological information extraction and plays a crucial role to serve for knowledge base and knowledge graph construction. Here a biom...
-
Article
Correction to: Healthcare framework for identification of strokes based on versatile distributed computing and machine learning
-
Article
Designing a prediction model for athlete’s sports performance using neural network
Accurately predicting the performance in various sports is crucial in comprehending training characteristics and enhancing physical education and training processes. The increasing significance of sports in Ch...
-
Article
Healthcare framework for identification of strokes based on versatile distributed computing and machine learning
This paper presents a novel healthcare services framework that leverages versatile distributed computing and mobile cloud computing to enhance the delivery of medical care data. The framework is designed to in...
-
Article
Location and tracking of environmental pollution sources under multi-UAV vision based on target motion model
In computer vision, moving objects’ detection and tracking technology have become hot topics. With the continuous maturity of UAV technology, quadrotor UAV is increasingly widely used in the market, and their ...
-
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...
-
Article
Open AccessA Graph Representation Learning Framework Predicting Potential Multivariate Interactions
Link prediction is a widely adopted method for extracting valuable data insights from graphs, primarily aimed at predicting interactions between two nodes. However, there are not only pairwise interactions but...
-
Article
Fuzzy analytic hierarchy process with ordered pair of normalized real numbers
The Analytic hierarchy process (AHP) is a widely used multi-criteria decision theory, and most AHP relies on the judgments of experts to derive priority scales. However, the judgments of experts may be subject...
-
Article
Offline handwritten Tai Le character recognition using wavelet deep convolution features and ensemble deep variationally sparse Gaussian processes
Handwriting recognition is an important application in pattern recognition. Because handwritten Tai Le has similar characters and the proportion of characters with similar shapes is relatively high, this paper...
