95 hasil untuk "Weiwei Lin"
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Artikel Jurnal
A comparative analysis of dental education in China and Japan based on the four-component instructional design (4C/ID) model
BackgroundBalancing cognitive load and clinical psychomotor skills within a limited curriculum time remains a core challenge in dental education. Faced with new healthcare demands driven by an aging population, dental education systems in both China and Japan require essential reforms. While…
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A Modified Support Vector Machine model for Credit Scoring
This paper presents a novel quantitative credit scoring model based on support vector machine (SVM) with adaptive genetic algorithm, gr-GA-SVM. In this study, two real world credit datasets in the University of California Irvine Machine Learning Repository are selected for the numerical…
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Parameter-Coupled Offset Min-Sum Decoding with Edge-Type Differentiation for MET-LDPC Codes
To improve the decoding performance of multi-edge type low-density parity-check (MET-LDPC) codes, this paper proposes an edge-type differentiated parameter coupling offset min-sum (EDPC-OMS) decoding algorithm. The contributions are threefold. First, we replace the traditional uniform compensation…
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Multidirection Object Detection in Aerial View of Traffic Target under Complex Scenes
Focusing on DOTA, the multidirectional object dataset in aerial view of vehicles, CMDTD has been proposed. The reason why it is difficult for applying the general object detection algorithm in multidirectional object detection has been analyzed in this paper. Based on this, the detection principle…
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Changes in enzyme activity and microbial community of rhizosphere soil under continuously monocultured Passiflora edulis treatment
In response to the severe continuous cropping obstacles encountered during the cultivation of passion fruit, which leads to significant declines in yield and quality, as well as rampant pests and diseases, it is particularly important to explore strategies for mitigating these obstacles. The…
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A Survey on Text-Dependent and Text-Independent Speaker Verification
Speaker verification (SV) aims to detect an individual’s identity from his/her voice. SV has been successfully applied in various areas such as access control, remote service customization, financial transactions, etc. Depending on whether the text content is pre-defined or not, SV can be…
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Negligible spin–charge conversion in Bi films and Bi/Ag(Cu) bilayers
Spin pumping experiments using ferromagnetic metals have reported highly efficient spin–charge conversion in Bi and at the Bi/Ag interface, possibly due to the inverse Rashba–Edelstein effect. However, longitudinal spin Seebeck effect experiments using the yttrium iron garnet ferrimagnetic…
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A Dual-Attention-Based Stock Price Trend Prediction Model With Dual Features
Modeling and predicting stock prices is an important and challenging task in the field of financial market. Due to the high volatility of stock prices, traditional data mining methods cannot identify the most relevant and critical market data for predicting stock price trend. This paper proposes a…
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Random Field-Based Time-Dependent Reliability Analyses of a PSC Box-Girder Bridge
The parameters affecting structural reliability are usually regarded as independent random variables in the current reliability analyses of bridge structures while the randomness of these structural parameters in spatial distribution is neglected. To overcome this disadvantage, the random field…
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A Virtual Machine Consolidation Algorithm Based on Ant Colony System and Extreme Learning Machine for Cloud Data Center
The energy consumption issue of large-scale data centers is attracting more and more attention. Virtual machine consolidation can significantly reduce energy consumption by migrating virtual machines from one physical machine to another. However, excessive virtual machine consolidation can lead to…
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Multiple Watermarking Algorithm for Color Images Based on Multi-Channel
To address the problem of determining the optimal embedding area in multiple watermarking technologies and to achieve a trade-off between multiple watermarks, a multi-channel embedding-based color image multiple watermarking algorithm is proposed. Different watermark images are embedded in the R…
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A Server Placement Algorithm for Reducing Risk and Improving Power Utilization in Data Centers
As the power demand in data centers is increasing, the power capacity of the power supply system has become an essential resource to be optimized. Although many data centers use power oversubscription to make full use of the power capacity, there are unavoidable power supply risks associated with…
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Efficient Deep Image Prior with Spatial-Channel Attention Transformer
The deep image prior (DIP) suggests that it is possible to train a randomly initialized network with a suitable architecture to solve inverse imaging problems by simply optimizing its parameters to reconstruct a single degraded image. However, the prior knowledge exploited by vanilla DIP relies on…
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The effects of chemical and organic fertilizer usage on rhizosphere soil in tea orchards
Sustainable agriculture is an important global issue. The use of organic fertilizers can enhance crop yield and soil properties while restraining pests and diseases. The objective of this study was to assess the effects of long-term use of chemical and organic fertilizers on tea and rhizosphere…
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A Novel Sensor Data Pre-Processing Methodology for the Internet of Things Using Anomaly Detection and Transfer-By-Subspace-Similarity Transformation
The Internet of Things (IoT) and sensors are becoming increasingly popular, especially in monitoring large and ambient environments. Applications that embrace IoT and sensors often require mining the data feeds that are collected at frequent intervals for intelligence. Despite the fact that such…
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A Multi-Dimensional Resource Scheduling Strategy Based on Multilateral Complementarity
The diversification of computing resources and the increasing complexity of resource demand from applications in terms of type, granularity, and quantity call for more efficiency in resource scheduling. To meet this challenge, this paper proposes a resource description model based on a quantized…
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Predicting Long-Term Scientific Impact Based on Multi-Field Feature Extraction
Nowadays, there have been many studies on evaluating the scientific impact of scholars. However, we still lack effective methods to predict long-term impact, especially 10 years in the future. Therefore, we propose a long-term scientific impact prediction model based on multi-field feature…
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An Ensemble Random Forest Algorithm for Insurance Big Data Analysis
Due to the imbalanced distribution of business data, missing user features, and many other reasons, directly using big data techniques on realistic business data tends to deviate from the business goals. It is difficult to model the insurance business data by classification algorithms, such as…