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Analysis and Prediction of Corporate Finance and Exchange Rate Correlation Based on Machine Learning Algorithms.

Computational intelligence and neuroscience
Based on the risk management of exposure to foreign exchange assets and liabilities and the application of financial derivatives, this paper provides an in-depth analysis of the financial and exchange rate risks of foreign-funded enterprises. Therefo...

Measuring ethical behavior with AI and natural language processing to assess business success.

Scientific reports
Everybody claims to be ethical. However, there is a huge difference between declaring ethical behavior and living up to high ethical standards. In this paper, we demonstrate that "hidden honest signals" in the language and the use of "small words" ca...

Efficient Long Short-Term Memory-Based Sentiment Analysis of E-Commerce Reviews.

Computational intelligence and neuroscience
In today's modern era, e-commerce is making headway through the process of bringing goods within everyone's grasp. Consumers are not even required to step out of the comfort of their homes for buying things, which makes it very convenient for them. M...

Deep Neural Networks Applied to Stock Market Sentiment Analysis.

Sensors (Basel, Switzerland)
The volume of data is growing exponentially and becoming more valuable to organizations that collect it, from e-commerce data, shipping, audio and video logs, text messages, internet search queries, stock market activity, financial transactions, the ...

Construction of Tourism E-Commerce Platform Based on Artificial Intelligence Algorithm.

Computational intelligence and neuroscience
In the late twentieth century, with the rapid development of the Internet, e-commerce has emerged rapidly, which has changed the way people travel around the world. The greatest advantages of e-commerce are the flow of information and data and the im...

A Novel Method to Inspect 3D Ball Joint Socket Products Using 2D Convolutional Neural Network with Spatial and Channel Attention.

Sensors (Basel, Switzerland)
Product defect inspections are extremely important for industrial manufacturing processes. It is necessary to develop a special inspection system for each industrial product due to their complexity and diversity. Even though high-precision 3D cameras...

Characteristic Analysis and Route Optimization of Heterogeneous Neural Network in Logistics Allocation System.

Computational intelligence and neuroscience
Logistics distribution vehicle scheduling plays an important role in the supply chain. With the wide application of e-commerce technology and the increasing diversification of urban industrial and commercial development mode, the optimal scheduling o...

The road to change: Broadband China strategy and enterprise digitization.

PloS one
The digitization of a company necessitates not only the effort of the company but also state backing of network infrastructure. In this study, we applied the difference-in-differences method to examine the impact of the Broadband China Strategy on co...

Developing an Intelligent System with Deep Learning Algorithms for Sentiment Analysis of E-Commerce Product Reviews.

Computational intelligence and neuroscience
Most consumers rely on online reviews when deciding to purchase e-commerce services or products. Unfortunately, the main problem of these reviews, which is not completely tackled, is the existence of deceptive reviews. The novelty of the proposed sys...

Intelligent monitoring method of tridimensional storage system based on deep learning.

Environmental science and pollution research international
Growing international trade requires more flexible warehouse management to match it. In order to achieve more effective warehouse management efficiency, a shelf status-detection method based on deep learning is proposed. Firstly, the image acquisitio...