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20 Result(s)
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Engineering
Artificial Intelligence
Computational Intelligence
Hong-** Liang
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Article
DCTN: a dense parallel network combining CNN and transformer for identifying plant disease in field
Crop diseases can have a detrimental impact on crop growth, resulting in a significant reduction in crop yield. Therefore, accurate detection of these diseases is crucial for enhancing crop productivity. Despi...
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Chapter and Conference Paper
Long-Range Delivery and High-Efficiency Actuation of Magnetic Freezing Compact Toroid for Failed Spacecraft Despinning
With the increasing seriousness of the space debris environment, develo** debris de-orbiting and removal techniques is imperative. Space debris rotates rapidly, so despinning must be performed before removal...
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Chapter and Conference Paper
A Brief Overview of Recent Energy-Saving Researches in Smart Homes
This paper gives a brief overview on the topic of energy saving in smart homes. It provides introduction of some recent researches and developments of energy-saving schemes for smart homes, so that helps reade...
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Chapter and Conference Paper
An Improved Lightweight Traffic Sign Detection Model for Embedded Devices
The target detection algorithm based on the YOLO-v4 model can realize real-time traffic signs because of high detection accuracy and fast detection speed. Owing to the lack of sufficient computing resources an...
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Chapter and Conference Paper
Research on Vehicle Detection Algorithm Based on Improved YOLO
Object detection algorithm has high recognition accuracy and fast detection speed, but there are also obvious problems. The positioning is inaccurate because the network uses an end-to-end model that generates...
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Chapter and Conference Paper
Exceeding the Performance of Two-Tier Fat-Tree: Equality Network Topology
A high-performance interconnect topology system named Equality is introduced in this paper for general purpose applications including supercomputing, data center, cloud service, and industrial cluster solution...
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Article
Weibull statistical modeling for textured image retrieval using nonsubsampled contourlet transform
In this paper, we proposed a new framework for textured image retrieval, which is based on Weibull statistical distribution and nonsubsampled contourlet transform. Firstly, the image is decomposed into one low...
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Book and Conference Proceedings
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Chapter and Conference Paper
Correction to: Proceedings of the Fifth Euro-China Conference on Intelligent Data Analysis and Applications
In the original version of the book, the first affiliation “Princeton University, Princeton, NJ 08544, USA” has to be removed for chapter authors “Lu Sun” and “Yuan Tian” in chapters “A Minimum Spanning Tree A...
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Chapter and Conference Paper
Memristive Extreme Learning Machine: A Neuromorphic Implementation
Neuromorphic computation has been a hot research area over the past few years. Memristor, as one of the neuromorphic computation materials memorizes the conductance value and is able to adapt it according to c...
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Chapter and Conference Paper
TDT_CC: A Hot Topic Detection and Tracking Algorithm Based on Chain of Causes
With the development and application of Web3.0, it has become a common social phenomenon that users discuss hot topics on social networks, making them to aggregate into user groups based on the topics, rapidly...
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Article
Projection-Based PROMETHEE Methods Based on Hesitant Fuzzy Linguistic Term Sets
This paper proposes two extended projection-based preference ranking organization methods for enrichment evaluations for multi-criteria decision making with hesitant fuzzy linguistic term sets (HFLTSs). We fir...
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Article
Study on optimization of anti-collision algorithm for mixed query tree
This paper studies the hybrid query tree algorithm, which uses the combined information of the largest and smallest collision bits to classify the markers. The labels are placed in four matrices to reduce coll...
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Article
\(k^{-}\) -anonymization of multiple shortest paths
The preservation of privacy on information networks has been studied extensively in recent years. Although early work concentrated on preserving sensitive node information and link information to prevent re-id...
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Book and Conference Proceedings
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Chapter and Conference Paper
Channel Estimation Based on Extreme Learning Machine for High Speed Environments
Due to the complexity and extensive application of wireless systems, channel estimation has been a hot research issue, especially for high speed environments. High mobility challenges the speed of channel esti...
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Chapter and Conference Paper
Bayesian Regularization BP Neural Network Model for the Stock Price Prediction
It is an important research issue to improve the generalization ability of the neural network in the research of artificial neural network. This paper proposes the Bayesian regularization method to optimize th...
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Chapter and Conference Paper
A Projection-Based Approach for Mining Highly Coherent Association Rules
In our previous approach, we proposed an apriori-based algorithm for mining highly coherent association rules, and it is time-consuming. In this paper, we present an efficient mining approach, which is a proje...
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Chapter and Conference Paper
Discussion on Digital Storytelling in Comprehensive Practice Courses Application
The increasing development of computer and information technology has brought new challenges as well as opportunities to education. As a way of personal multimedia storytelling, digital storytelling is very po...
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Article
Mining fuzzy sequential patterns from quantitative transactions
Many researchers in database and machine learning fields are primarily interested in data mining because it offers opportunities to discover useful information and important relevant patterns in large database...
