ICIIP

The main idea of the VAR model is to represent time series data as a linear combination of several past moments, and predict future values through analysis of historical data.The application of VAR models is very extensive in the economic field, ...

Driven by new generation information technologies, digital inclusive finance has taken the lead in promoting financial inclusion. Based on the Peking University Digital Inclusive Finance Index (2011-2020), this study investigates the development level of ...

The application of big data technology in the development of smart tourism is increasingly being promoted and impacting the development trend of the tourism industry in our lives. This paper deeply explores the practical application of big data in smart ...

In digitalization, information technology drives financial transformation in enterprises, and the economic function of financial management in enterprise management has changed. This study constructs a satisfaction evaluation model for undergraduate ...

Under the background of big data, the classification and processing of data have high requirements. How to complete the value "purification" of data more quickly through powerful machine algorithms and carry out qualitative and quantitative analysis ...

The digital economy has emerged as a key force reshaping the global competitive landscape. Establishing a scientific evaluation index system to measure the level of digital economic development is of great significance for conducting digital economic ...

The main bolt of high-voltage equipment is a key component of bearing great pressure and important connection, and it is easy to form fatigue damage under high temperature, high pressure and high corrosive environment for a long time. At present, ...

This study aims to investigate the impact of changes in PM2.5 concentrations on peripheral artery disease (PAD) and respiratory diseases, considering the severe threats to health posed by urbanization and air pollution since the Industrial Revolution. ...

This study explores the control efficiency of bridges equipped with Neutral Equilibrium Mechanisms, aiming to evaluate their feasibility, stability, and practicality in real-world scenarios. The research focuses on two critical aspects of bridge design: ...

With the continuous advancement of science and technology, the establishment of intelligent power plants has emerged as a prevailing trend in the modern power industry. The personnel positioning system serves as an integral component of intelligent power ...

Variable air volume (VAV) air conditioning systems, when used in practice, often experience deviations in terminal temperatures from the set temperature due to factors such as changes in terminal load. This results in slow temperature regulation and ...

Due to the complex underground conditions, the logging data are often distorted or missing which brings great challenges to the work of well logging. Precise prediction of logging curve is critical for the exploration and development of the petroleum ...

Captive breeding of lake sheep is an important project in animal husbandry and ecological protection. Optimizing the space utilization rate of lake sheep is of great significance for improving breeding efficiency and protecting the ecological ...

AI has been more and more widely applied in sports industry, from match outcome prediction, to tacticle decision making, from helping referee to make more precise decision to help the athelete to prevent the potential injury. This study focuses on how to ...

20 listed companies with lithium batteries as their main business were selected for the study. Input and output indicators are established from the perspective of technological innovation. The DEA method is applied to measure the technological innovation ...

As the smart city notion becomes widely adopted, the smart tourism technology (STT) has also been extensively utilized in diverse tourism fields. STT brings opportunities to tourism destination and promotes destination competitiveness. The structural ...

Tennis is known as the second largest ball game in the world and is popular for its excitement and spectacle. This article delves into the impact and use of momentum in tennis to provide instructive recommendations for athletes. Based on the Pearson ...

To address the problems of incomplete extraction of rolling bearing fault features and low recognition accuracy, a fault diagnosis model based on local mean decomposition, improved multi-scale dispersion entropy and whale optimization algorithm to ...

Pedestrian detection is a crucial aspect of intelligent transportation systems and autonomous driving technolo- gies, ensuring the safety and reliability of these systems. This paper presents a novel approach to pedestrian detection utilizing event ...

The tensor nuclear norm has achieved good results in the restoration of hyperspectral images (HSI), but it has the problem of direction sensitivity and cannot well characterize the correlation between different dimensions of hyperspectral images. In ...

Smart transportation is a crucial element in the development of smart cities construction. Accurate forecasting of traffic dynamics is one of the key contents of smart transportation. In this paper, a fractional grey model based on fractional order ...

Objects in memory stores are becoming industry solutions for high-availability applications. These systems routinely encounter the challenges of popularity skew and server failures, which result in severe load imbalance across servers and degraded I/O ...

This study aims to explore the impact of Digital Learning Environments in vocational colleges on students' Employment Skills and analyze the mediating effect of AI Applications. By surveying 500 students and 100 teachers from five vocational colleges in ...

Since the proposed "30•60" goal on achieving carbon neutrality, the research topic whether digital economy can promote regional low-carbon development is an important issue worth studying. The paper uses panel data from 30 Chinese provinces (excluding ...

In the e-commerce environment, inventory management is the key factor to ensure enterprise operational efficiency and customer satisfaction. Traditional inventory management methods can no longer meet the increasingly complex market needs, and it is ...

In recent years, cross-border e-commerce has emerged as a primary choice for international consumers, with China's export cross-border e-commerce industry experiencing significant growth. This paper focuses on SHEIN, a prominent Chinese cross-border e-...

Self Organizing Map (SOM) is an unsupervised competitive learning neural network, which is a numerical simulation method that mimics human brain nerve cells. It can map high-dimensional input data to a low dimensional space, simplify data dimensions, and ...

Emerging technologies have given rise to the utilization of the Unlicensed band by the fifth Generation Mobile Communication Technology (5G-U). LTE-U enables efficient Device-to-Device communication by utilizing unlicensed spectrum alongside Wireless ...

Complex probabilistic models often require computationally intractable high-dimensional integrals in machine learning and Bayesian inference. There are many models that provide approximations to Bayesian probabilistic models, one of which is the Markov ...

This study introduces a novel methodology for evaluating tennis player performance through the application of Hierarchical Markov Models (HMM). By dissecting the game's flow and modeling the transitions between states, our proposed model captures the ...