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GAT-DASeq2Seq: A Water Quality Prediction Model Based on Attention Mechanism and Fusion Spatio-temporal Features
Aiming at the problem that the existing models are difficult to accurately extract the global spatiotemporal features, a surface water quality prediction model GAT-DASeq2Seq based on the attention mechanism and fusion spatio-temporal features is ...
Intelligent Transportation: Application of Deep Learning techniques in the search for a sustainable environment
The sustainability concept is gaining more strength and visibility each year. Besides that, the present society, boosted by technological advancement, seeks integrated intelligent sustainable systems, which do not harm the environment. Due to the ...
Prediction of A-share Prices Based on K-means Clustering Algorithm and LSTM
In this paper, a long and short-term memory neural network is used to predict the future trend of A-share prices [2, 3, 5, 6, 7, 8, 10], while the K-means clustering algorithm reduces the number of models in the whole process and achieves high ...
Stacking based prediction of COVID-19 Pandemic by integrating infectious disease dynamics model and traditional machine learning
Accurate prediction of 2019 novel coronavirus diseases (COVID-19) has been playing an important role in making more effective prevention and control policies during pandemic crises. The aim of this paper was to develop an innovative stacking based ...
Model of Online Loan Overdue Prediction Using Fuzzy Method
Online loan has achieved great development in recent years, which benefit to both sides of lending. In this paper, we analysis the risk of lenders, using machine learning approach to predict the performances of borrower. We play the role of clearing ...
Research on the spread trend of COVID-19 based on SEIR-C model
The latent and insidious nature of COVID-19 transmission poses a great challenge to epidemic prevention and control. In order to predict its transmission trend more accurately, optimal epidemic prevention and control strategies and measures can be ...
Deep and Wide Features for Face Anti-Spoofing
Recently, the face recognition system is rapid development, and face anti-spoofing (FAS) also plays a significant role in that system. There are two approaches to FAS methods 1) use handcrafted features and 2) use deep features extracted from deep ...
Firefly Detection Based on Improved YOLOv4 under a Small Number of Samples
In order to solve the problem of firefly detection in complex scenes with a small number of samples, a data generation method and an improved YOLOv4 algorithm (Efficient-A-YOLOv4) are proposed. The data generation method is proposed to generate enough ...
A Technique for Altering Face Attributes Based on Differential Structure
The task of face attribute editing refers to the implementation of specified attribute editing by integrating encoder-decoder and generative adversarial networks. The majority of current codec architectures carry out attribute editing by providing the ...
Research on Garbage Image Classification and Recognition Method Based on Improved ResNet Network Model
Garbage classification recognition has great application value in daily life, while traditional image classification methods have low accuracy and generalization ability. This paper solves the above problems by improving the ResNet model. The specific ...
Virtual Interactions of Companion Pet Effects for Remote Pet Owners
In recent years, the use of the Internet of Things (IoT) has become more widespread, which has had a great impact on the animal health system. In the context of the COVID-19 pandemic, interactions between people and pets have been of great help in the ...
Forest Cover Semantic Change Detection Based on High-Resolution Network Remote Sensing Data.
In order to obtain the change information of forest land coverage area quickly and accurately, this paper proposes a semantic change detection method for remote sensing images based on the improved Siam-HRNet V2 algorithm. Considering the multi-scale ...
A Data Cleaning Method for Industrial Data Flow Based on Multistage Combinational Optimization of Rule Set
With the development of the era of big data, the quality of data has become a growing concern of people. Improving data quality has become a very hot topic at present. In this paper, we propose a data cleaning method for industrial data flow based on ...
Research on data-driven collaborative optimization method of design and operation
The intensification of competition in the global market and the increase in the demand for personalized customization have put forward higher requirements for the development cycle, production quality and service quality of complex products. By ...
Global Coverage Constellation Design for Internet of things using NSGAII Algorithm
To meet the needs of the space-based Internet of Things (IoT) development, this paper proposes a global coverage constellation design method and a constellation coverage index concept. Satellite Tool Kit (STK) software was used to verify the ...
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Acceptance Rates
Year | Submitted | Accepted | Rate |
---|---|---|---|
BDIoT '19 | 136 | 75 | 55% |
Overall | 136 | 75 | 55% |