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BDIOT '22: Proceedings of the 2022 5th International Conference on Big Data and Internet of Things
ACM2022 Proceeding
Publisher:
  • Association for Computing Machinery
  • New York
  • NY
  • United States
Conference:
BDIOT 2022: 2022 the 5th International Conference on Big Data and Internet of Things Chongqing China August 12 - 14, 2022
ISBN:
978-1-4503-9036-1
Published:
10 October 2022
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Abstract

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SESSION: Machine Learning and Computational Models
research-article
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 ...

research-article
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 ...

research-article
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 ...

research-article
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 ...

research-article
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-article
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 ...

SESSION: Intelligent Image Detection and Analysis
research-article
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 ...

research-article
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 ...

research-article
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-article
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 ...

research-article
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 ...

SESSION: Big Data Analysis and IoT Applications
research-article
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 ...

research-article
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-article
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 ...

research-article
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

Overall Acceptance Rate 75 of 136 submissions, 55%
YearSubmittedAcceptedRate
BDIoT '191367555%
Overall1367555%