Intelligent traffic congestion discrimination method based on wireless sensor network front-end data acquisition
Conventional intelligent traffic congestion discrimination methods mainly use GPS terminals to collect traffic congestion data, which is vulnerable to the influence of vehicle time distribution, resulting in poor final discrimination effect. Necessary to ...
Unsupervised VAD method based on short-time energy and spectral centroid in Arabic speech case
Voice Activity Detection (VAD) distinguishes speech segments from noise or silence areas. An efficient and noise-robust VAD system can be widely used for emerging speech technologies such as wireless communication and speech recognition. In this paper, ...
Numerical simulation of financial fluctuation period based on non-linear equation of motion
The traditional numerical simulation method of financial fluctuation cycle does not focus on the study of non-linear financial fluctuation but has problems such as high numerical simulation error and long time. To solve this problem, this paper ...
Application of artificial intelligence in enterprise human resource management and employee performance evaluation
With the rapid development of Artificial Intelligence (AI) technology, significant breakthroughs have been made in its application in many fields. Especially, in the field of enterprise human resource management and employee performance evaluation, AI ...
Electronic management of enterprise accounting files under the condition of informatisation
With the rapid development of computer information technology, the work of accountants has gradually evolved into an electronic trend and the management of accounting files has also undergone great changes. Combining with the current development trend of ...
Leveraging the internet of behaviours and digital nudges for enhancing customers' financial decision-making
Human behaviour, which is led by the human, emotional and occasionally fallible brain, is highly influenced by the environment in which choices are presented. This research paper explores the synergistic potential of the Internet of Behaviours (IoB) and ...
Psychological intervention of college students with unsupervised learning neural networks
To better explore the application of unsupervised learning neural networks in psychological interventions for college students, this study investigates the relationships among latent psychological variables from the perspective of neural networks. ...
Bi-LSTM GRU-based deep learning architecture for export trade forecasting
To assess a country's economic outlook and achieve higher economic growth, econometric models and prediction techniques are significant tools. Policymakers are always concerned with the correct future estimates of economic variables to take the right ...