AIMC Topic: Commerce

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International trade and finance exploration using network model of computer trade platform.

PloS one
International trade becomes increasingly frequent with the deepening of economic globalization. In order to ensure the stable and rapid development of international trade and finance, it is particularly crucial to predict the sales trend of foreign t...

Artificial Intelligence Assists the Construction of Quantitative Model for the High-Quality Development of Modern Enterprises.

Computational and mathematical methods in medicine
Artificial intelligence companies are different from traditional labor-intensive and capital-intensive companies in that their core competitiveness lies in technology, knowledge, and manpower. Enterprises show the characteristics of a high proportion...

Logistics Distribution Route Optimization Model Based on Recursive Fuzzy Neural Network Algorithm.

Computational intelligence and neuroscience
In recent years, more and more attention has been paid to the utilization of data and information in the logistics distribution path optimization system of e-commerce, but it is difficult to have scientific guarantee in the process of determining the...

Impact of Factors of Online Deceptive Reviews on Customer Purchase Decision Based on Machine Learning.

Journal of healthcare engineering
Online deceptive reviews widely exist in the online shopping environment. Numerous studies have investigated the impact of online product reviews on customer behaviour and sales. However, the existing literature is mainly based on real product review...

A New Approach to Predicting Cryptocurrency Returns Based on the Gold Prices with Support Vector Machines during the COVID-19 Pandemic Using Sensor-Related Data.

Sensors (Basel, Switzerland)
In a real-world situation produced under COVID-19 scenarios, predicting cryptocurrency returns accurately can be challenging. Such a prediction may be helpful to the daily economic and financial market. Unlike forecasting the cryptocurrency returns, ...

State Evaluation Method of Robot Lubricating Oil Based on Support Vector Regression.

Computational intelligence and neuroscience
Recently, the development of the Industrial Internet of Things (IIoT) has led enterprises to re-examine the research of the equipment-state-prediction models and intelligent manufacturing applications. Take industrial robots as typical example. Under...

Construction of Community Life Service in the Sharing Economy Based on Deep Neural Network.

Computational intelligence and neuroscience
Currently, the development of sharing economy and interconnection also has a profound impact on community life services. This study is based on the deep neural network theory, combined with the evolution mechanism of the commercial network of the com...

Performance Evaluation of Enterprise Supply Chain Management Based on the Discrete Hopfield Neural Network.

Computational intelligence and neuroscience
In order to make up for the shortcomings of current performance evaluation methods, this paper proposes a new method of enterprise performance evaluation, discusses the construction principle of the evaluation index, and proposes a method of enterpri...

Improving stock trading decisions based on pattern recognition using machine learning technology.

PloS one
PRML, a novel candlestick pattern recognition model using machine learning methods, is proposed to improve stock trading decisions. Four popular machine learning methods and 11 different features types are applied to all possible combinations of dail...

The Algorithm of a Game-Based System in the Relation between an Operator and a Technical Object in Management of E-Commerce Logistics Processes with the Use of Machine Learning.

Sensors (Basel, Switzerland)
Machine learning (ML) is applied in various logistic processes utilizing innovative techniques (e.g., the use of drones for automated delivery in e-commerce). Early challenges showed the insufficient drones' steering capacity and cognitive gap relate...