3,706 Result(s)
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Article
A two-phase method to optimize service composition in cloud manufacturing
Service composition is widely employed in cloud manufacturing. Due to the abundance of similar cloud manufacturing services, the search space for optimizing service composition tends to be expansive. Existing ...
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GTL-ASENet: global to local adaptive spatial encoder network for crowd counting
Crowd counting from a single image is a challenging task due to perspective distortion and large-scale variation in crowd scenes. Many Researches only focus on local features to create density maps which is no...
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Real-time detection algorithm for non-motorized vehicles based on D-YOLO model
In complex traffic scenarios, it is crucial to develop a rapid and precise real-time detection system for non-motorized vehicles to ensure safe driving. D-YOLO is a lightweight real-time detection technique fo...
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An end-to-end repair-based joint training framework for weakly supervised pavement crack segmentation
Weakly supervised pavement crack segmentation aims to assign each pixel of pavement surface images a category label (crack or non-crack) using limited annotation information. Most existing methods adopt the mu...
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Joint resource and trajectory optimization for video streaming in UAV-based emergency indoor-outdoor communication
Due to its ability for flexible placement, the Unmanned Aerial Vehicle (UAV) has been widely utilized as an aerial relay to transmit the video streaming data, which is particularly useful in emergency communic...
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Article
Open AccessAn effective multiclass skin cancer classification approach based on deep convolutional neural network
Skin cancer is one of the most dangerous types of cancer due to its immediate appearance and the possibility of rapid spread. It arises from uncontrollably growing cells, rapidly dividing cells in one area of ...
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Human identification based on sphenoid sinus in point cloud with geometric self-attention network
Human identification is a crucial element in forensic medicine to identify unknown bodies. As a unique anatomical feature of the human body, the sphenoid sinus has been used for human identification due to its...
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An improved density peaks clustering algorithm using similarity assignment strategy with K-nearest neighbors
Some particular shaped datasets, such as manifold datasets, have restrictions on density peak clustering (DPC) performance. The main reason of variations in sample densities between clusters of data and uneven...
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Queues with correlated inter-arrival and service times
We study a type of correlated queue in which its inter-arrival and service times are correlated, with their joint distribution being characterized by a copula function. This characterization allows for very ge...
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Traffic flow prediction based on graph convolutional networks with a parallel attention network and stacked gate recurrent units
Accurate traffic flow prediction is essential to address traffic issues and assist traffic managers make informed decisions in intelligent transportation systems. Extracting potential features from traffic dat...
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Article
An efficient and real-time steel surface defect detection method based on single-stage detection algorithm
Within the realm of computer vision, the detection of defects holds significant importance for industrial production and quality assurance. However, current object detection methods encounter notable challenge...
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Article
Enhanced K-NN with Bayesian optimization algorithm for predicting energy efficiency of smart grids in IoT
With the increasing a huge amount of end users using electricity in modern cities, smart grids have some critical problems for energy efficiency and managing renewable energy resources. Therefore, electricity ...
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Article
Efficient detection of multiscale defects on metal surfaces with improved YOLOv5
In the process of metal production and manufacturing, the surface of the metal will produce defects of different scales, which will seriously affect the quality and performance of the metal, so it is very nece...
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Article
A robust blockchain-based watermarking using edge detection and wavelet transform
Nowadays, image security is a crucial component of the scientific community. The transparent marking is often used to keep medical imaging information from being stolen without permission. In this work, a nove...
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Article
Identification of slip parameters based on fiber Bragg grating and neural network
This paper proposes a flexible sensor made of fiber Bragg gratings (FBGs) package that can effectively recognize the direction and velocity of relative sliding on its surface. The measurement principle and str...
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Article
Broadband, polarization-insensitive and temperature-independent metamaterial absorber based on graphene hybrid water in terahertz domain
Water and graphene have been used separately to effectively broaden absorption bandwidth in the design of metamaterial absorbers (MAs). In this paper, a broad terahertz MA is presented, in which water and grap...
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Article
Hypertension risk prediction models for patients with diabetes based on machine learning approaches
To construct effective prediction models for hypertension in diabetic patients based on machine learning. This study used electronic data from 2080 diabetic patients attending the specialized outpatient clinic...
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Article
On implementing SWMR registers from SWSR registers in systems with Byzantine failures
The implementation of registers from (potentially) weaker registers is a classical problem in the theory of distributed computing. Since Lamport’s pioneering work (Lamport in Distrib Comput 1(2):77–101, 1986),...
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Multi-scale attention graph convolutional recurrent network for traffic forecasting
In the backdrop of an ever-expanding urban transportation road network, the dramatic changes in traffic flow make traffic flow forecasting become a challenge. Which encompass intricate spatial correlations and...
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Article
A novel combining method of dynamic and static web crawler with parallel computing
Recovering information from a targeted website that undergoes dynamic changes is a complicated undertaking. It necessitates the use of a highly efficient web crawler by search engines. In this study, we merged...
