Although there is no distinctive header, this is the abstract. This submission template allows authors to submit their papers for review to an ACM Conference or Journal without any output design specifications incorporated at this point in the process. ...

Economic growth is one of the key indicators of whether a region is developing and the level of development. The degree of complementarity of labor force skills directly reflects the rationality of the labor force structure in a region. The degree of ...

In the face of the current severe employment situation, a factor influencing college students employment and recommendation algorithm based on weighted cosine similarity and ALS (Alternating Least Squares) model is proposed. Based on the questionnaire of ...

In the era of big data and information, the traditional management of student behaviour is increasingly showing the disadvantages of untimely intervention and "backwardness" of the governance model. Nowadays, by applying education big data in the ...

Nonlinear optical effects have significant applications in optical communications and optical device design. This paper explores the application of artificial intelligence (AI) technology in nonlinear optical effect modeling. By employing data-driven ...

In recent years, the mould industry in China has obtained a rapid development, which plays an important role in the national economy. Many colleges have offered mould courses, however, there are some problems such as students' stress on course theories ...

As vehicle intelligence improves, driver fatigue detection technology becomes an important means of improving driving safety. The purpose of this paper is to design and implement an OpenCV-based driver fatigue detection application for smart cockpit, ...

The traditional neural network algorithm applied to the forecasting of stock price which is easy to fall into local optima. To enhance the accuracy of stock price forecasting and reduce the forecasting time, this paper introduces the improved Particle ...

In the rapidly developing information society, big data has become an important resource among countries. Whoever controls the data will control the right to speak. The ideology of big data is becoming increasingly obvious, mainly manifested as discourse ...

In order to further improve the intelligence of the enterprise financial intelligent budget system, this paper constructs the financial budget system based on the concept of big data and the actual needs of the enterprise. By means of information ...

Digital productivity has become an important feature of new quality productive forces. Innovation and entrepreneurship education (IEE) in vocational colleges is an important component of China's higher education system. Many scholars believe that the ...

This paper aims to explore the artificial intelligence (AI) technology based on deep learning algorithm how to promote digital twin technology optimization and application innovation, through the analysis of deep learning, reinforcement learning and the ...

Artificial intelligence and machine learning technologies are driving the digital transformation of education, while traditional management is difficult to harness big data and personalized demand management. The use of convolutional neural network face ...

Utilizing panel data from 76 recipient countries spanning 1990 to 2018 and sourced from the AidData, OECD-DAC CRS, and WDI databases, this study employs a mediation model to investigate the influence of climate mitigation aid on carbon emissions, ...

This article reviews the research on user demand mining based on online reviews. Through text sentiment analysis techniques, such as sentiment lexicons, rules, and machine learning methods, user needs are explored. The article emphasizes the value of ...

The purpose of this paper is to discuss the application of simulation optimization and data management in the development of the international freight forwarding industry and to develop an intelligent decision-making system based on simulation ...

This study investigates the Chinese student interpreters’ usage intention of ChatGPT-assisted translation with Q methodology. Guided by technology acceptance theory (TAM), the study aims to explore the usage intention profiles and consensus and ...

The key of fine-grained image recognition is to extract distinguished visual features. Relevant research shows that the key of fine-grained visual classification task is to use effective methods to accurately identify the key information areas in the ...

Blasting vibration is one of the main negative effects of blasting construction. It is influenced by many external factors and has a complex nonlinear relationship with them. How to predict and reduce the blasting vibration effect while completing the ...

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 ...