AIMC Topic: Commerce

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Forecasting of Typhoon-Induced Wind-Wave by Using Convolutional Deep Learning on Fused Data of Remote Sensing and Ground Measurements.

Sensors (Basel, Switzerland) Aug 2, 2021
Taiwan is an island, and its economic activities are primarily dependent on maritime transport and international trade. However, Taiwan is also located in the region of typhoon development in the Northwestern Pacific Basin. Thus, it frequently receiv...
Internationality Commerce Cyclonic Storms Deep Learning Remote Sensing Technology
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Forecast of E-Commerce Transactions Trend Using Integration of Enhanced Whale Optimization Algorithm and Support Vector Machine.

Computational intelligence and neuroscience Jul 19, 2021
E-commerce has become a crucial business model through the Internet around the world. Therefore, its transaction trend forecast can provide important information for the market planning and development in advance. For this purpose, the integrated mod...
Whales Support Vector Machine Commerce Forecasting Animals Algorithms
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Impact of chart image characteristics on stock price prediction with a convolutional neural network.

PloS one Jun 23, 2021
Stock price prediction has long been the subject of research because of the importance of accuracy of prediction and the difficulty in forecasting. Traditionally, forecasting has involved linear models such as AR and MR or nonlinear models such as AN...
Probability Models, Economic Forecasting Image Processing, Computer-Assisted Commerce Investments Humans Neural Networks, Computer Algorithms
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Application of an emotional classification model in e-commerce text based on an improved transformer model.

PloS one Mar 5, 2021
With the rapid development of the mobile internet, people are becoming more dependent on the internet to express their comments on products or stores; meanwhile, text sentiment classification of these comments has become a research hotspot. In existi...
Humans Female Commerce Models, Theoretical Male Emotions Deep Learning
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Latent Dirichlet allocation model for world trade analysis.

PloS one Feb 4, 2021
International trade is one of the classic areas of study in economics. Its empirical analysis is a complex problem, given the amount of products, countries and years. Nowadays, given the availability of data, the tools used for the analysis can be co...
Commerce International Cooperation Natural Language Processing Industry Databases, Factual Humans Models, Statistical
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Machine learning-based e-commerce platform repurchase customer prediction model.

PloS one Dec 3, 2020
In recent years, China's e-commerce industry has developed at a high speed, and the scale of various industries has continued to expand. Service-oriented enterprises such as e-commerce transactions and information technology came into being. This pap...
Logistic Models Algorithms Commerce Linear Models Humans Internet Use China Machine Learning
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State-Transition Modeling of Human-Robot Interaction for Easy Crowdsourced Robot Control.

Sensors (Basel, Switzerland) Nov 15, 2020
Robotic salespeople are often ignored by people due to their weak social presence, and thus have difficulty facilitating sales autonomously. However, for robots that are remotely controlled by humans, there is a need for experienced and trained opera...
Robotics Consumer Behavior Crowdsourcing Commerce Humans User-Computer Interface
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Green Supplier Selection Using Fuzzy Multiple-Criteria Decision-Making Methods and Artificial Neural Networks.

Computational intelligence and neuroscience Sep 30, 2020
In recent years, environmental awareness has increased considerably, and in order to decrease endangerments such as air and water pollution, and also global warming, green procurement should be employed. Therefore, in the assessment of suppliers, the...
Decision Making Commerce Neural Networks, Computer Fuzzy Logic
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Action-specialized expert ensemble trading system with extended discrete action space using deep reinforcement learning.

PloS one Jul 27, 2020
Despite active research on trading systems based on reinforcement learning, the development and performance of research methods require improvements. This study proposes a new action-specialized expert ensemble method consisting of action-specialized...
Reinforcement, Psychology Deep Learning Time Factors Neural Networks, Computer Commerce Algorithms Models, Economic Investments Databases as Topic
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Mid-price prediction based on machine learning methods with technical and quantitative indicators.

PloS one Jun 12, 2020
Stock price prediction is a challenging task, in which machine learning methods have recently been successfully used. In this paper, we extract over 270 hand-crafted features (factors) inspired by technical indicators and quantitative analysis and te...
Machine Learning Algorithms Logistic Models Commerce Education, Distance
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