AIMC Topic: Commerce

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Will the inclusion of AI anchors enhance the operational performance of live streaming e-commerce supply chains?

PloS one Jun 17, 2025
With the rapid growth of the live streaming e-commerce market, traditional live streaming models are encountering mounting challenges, whereas the advent of artificial intelligence (AI) technology has breathed new life into live streaming. This paper...
Decision Making Commerce Humans Artificial Intelligence
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Enhancing corn industry sustainability through deep learning hybrid models for price volatility forecasting.

PloS one Jun 9, 2025
The fluctuations in corn prices not only increase uncertainty in the market but also affect farmers' planting decisions and income stability, while also impeding crucial investments in sustainable agricultural practices. Collectively, these factors j...
Forecasting Deep Learning Models, Economic Commerce Agriculture Zea mays
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Risk formulation mechanism among top global energy companies under large shocks.

PloS one May 23, 2025
Taking top global energy companies as the epitome, this paper investigates the risk formulation mechanism of the international energy market under the impact of large shocks. We first use the machine learning method in (Liu and Pun, 2022) to calculat...
Risk Management Commerce Humans Machine Learning
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Forecasting second-hand house prices in China using the GA-PSO-BP neural network model.

PloS one May 7, 2025
While the traditional genetic algorithms are capable of forecasting house prices, they often suffer from premature convergence, which adversely affects the reliability of the forecasts. To address this issue, the research employs a genetic-particle s...
Forecasting Housing Neural Networks, Computer China Humans Models, Economic Algorithms Commerce
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TCN-QV: an attention-based deep learning method for long sequence time-series forecasting of gold prices.

PloS one May 5, 2025
Accurate prediction of gold prices is crucial for investment decision-making and national risk management. The time series data of gold prices exhibits random fluctuations, non-linear characteristics, and high volatility, making prediction extremely ...
Gold Commerce Deep Learning China Neural Networks, Computer Humans Forecasting
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Exploring the drivers of digital transformation in Chinese port and shipping enterprises: A machine learning approach.

PloS one May 5, 2025
With the transition to a global green low-carbon economy, the urgency for digital transformation in the port and shipping industry has become increasingly prominent in making enterprises more efficient and sustainable. This study focuses on how Chine...
Transportation Machine Learning Industry China Commerce
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The analysis of marketing performance in E-commerce live broadcast platform based on big data and deep learning.

Scientific reports May 4, 2025
This study aims to conduct a comprehensive and in-depth analysis of the marketing performance of e-commerce live broadcast platforms based on big data management technology and deep learning. Firstly, by synthesizing large-scale datasets and surveys,...
Commerce Marketing Neural Networks, Computer Deep Learning Big Data Consumer Behavior Humans
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Implementing large language model and retrieval augmented generation to extract geographic locations of illicit transnational kidney trade.

International journal of health geographics Apr 28, 2025
BACKGROUND: Illicit kidney trade networks, operating globally, involve intricate interactions among various players, most notably buyers, sellers, brokers, and surgeons. A comprehensive understanding of these trade networks is, however, hindered by t...
Internationality Commerce Large Language Models Language Tissue and Organ Procurement Humans Kidney Transplantation
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Deep learning modelling to forecast emergency department visits using calendar, meteorological, internet search data and stock market price.

Computer methods and programs in biomedicine Apr 24, 2025
BACKGROUND: Accurate prediction of hospital emergency department (ED) patient visits and acuity levels have potential to improve resource allocation including manpower planning and hospital bed allocation. Internet search data have been used in medic...
Forecasting Deep Learning Humans Commerce Emergency Service, Hospital Emergency Room Visits Neural Networks, Computer Internet
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A dual-path convolutional neural network combined with an attention-based bidirectional long short-term memory network for stock price prediction.

PloS one Apr 22, 2025
The complexities of stock price data, characterized by its nonlinearity, non-stationarity, and intricate spatiotemporal patterns, make accurate prediction a substantial challenge. To address this, we propose the DCA-BiLSTM model, which combines dual-...
Investments Models, Economic Commerce Neural Networks, Computer Algorithms Convolutional Neural Networks Memory, Short-Term Humans
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