AIMC Topic: Commerce

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Unraveling asymmetrical spillover effects originating from China's green finance markets: Insights from asymmetric TVP-VAR and interpretable machine learning.

Journal of environmental management Dec 17, 2024
This study combines an asymmetric TVP-VAR model with interpretable machine learning algorithms to confirm the presence of asymmetries in spillover effects within China's green finance market and to identify the macroeconomic drivers behind these effe...
Investments COVID-19 SARS-CoV-2 Models, Economic Commerce China Humans Machine Learning
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Enhanced forecasting of rice price and production in Malaysia using novel multivariate fuzzy time series models.

Scientific reports Dec 2, 2024
A significant portion of the world's population relies on rice as a primary source of nutrition. In Malaysia, rice production began in the early 1960s, which led to the cultivation of the country's most significant food crop up till the present day. ...
Forecasting Oryza Agriculture Models, Economic Commerce Humans Fuzzy Logic Malaysia
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Exploring Internet of Things adoption challenges in manufacturing firms: A Delphi Fuzzy Analytical Hierarchy Process approach.

PloS one Nov 4, 2024
Innovation is key to gaining a sustainable edge in an increasingly competitive global manufacturing landscape. For Bangladesh's manufacturing sector to survive and thrive in today's cutthroat business environment, adopting transformative technologies...
Internet of Things Bangladesh Delphi Technique Humans Commerce Fuzzy Logic Manufacturing Industry
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Unveiling livestock trade trends: A beginner's guide to generative AI-powered visualization.

Research in veterinary science Oct 10, 2024
This tutorial, rooted in the context of livestock research, is designed to assist novice or non-programmers in visualizing trends in livestock exports between the US and Japan using Python and generative AI systems such as Microsoft's Copilot and Goo...
Livestock United States Commerce Artificial Intelligence Animal Husbandry Japan Animals
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Parametric seasonal-trend autoregressive neural network for long-term crop price forecasting.

PloS one Sep 26, 2024
Crop price forecasting is difficult in that supply is not as elastic as demand, therefore, supply and demand should be stabilized through long-term forecasting and pre-response to the price. In this study, we propose a Parametric Seasonal-Trend Autor...
Raphanus Crops, Agricultural Neural Networks, Computer Commerce Forecasting Seasons
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Preventing illegal seafood trade using machine-learning assisted microbiome analysis.

BMC biology Sep 11, 2024
BACKGROUND: Seafood is increasingly traded worldwide, but its supply chain is particularly prone to frauds. To increase consumer confidence, prevent illegal trade, and provide independent validation for eco-labelling, accurate tools for seafood trace...
Bivalvia Seafood Animals Microbiota Commerce Machine Learning
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Predicting Short Time-to-Crime Guns: a Machine Learning Analysis of California Transaction Records (2010-2021).

Journal of urban health : bulletin of the New York Academy of Medicine Sep 5, 2024
Gun-related crime continues to be an urgent public health and safety problem in cities across the US. A key question is: how are firearms diverted from the legal retail market into the hands of gun offenders? With close to 8 million legal firearm tra...
Machine Learning California Commerce Humans Firearms Crime
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Early warning of trends in commercial wildlife trade through novel machine-learning analysis of patent filing.

Nature communications Aug 1, 2024
Unsustainable wildlife trade imperils thousands of species, but efforts to identify and reduce these threats are hampered by rapidly evolving commercial markets. Businesses trading wildlife-derived products innovate to remain competitive, and the pat...
Patents as Topic Ursidae Wildlife Trade Perissodactyla Conservation of Natural Resources Commerce Animals Animals, Wild Machine Learning
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Predicting pharmaceutical prices. Advances based on purchase-level data and machine learning.

BMC public health Jul 15, 2024
BACKGROUND: Increased costs in the health sector have put considerable strain on the public budgets allocated to pharmaceutical purchases. Faced with such pressures amplified by financial crises and pandemics, national purchasing authorities are pres...
Forecasting Drug Costs Humans Pharmaceutical Preparations Commerce Machine Learning
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Factor-GAN: Enhancing stock price prediction and factor investment with Generative Adversarial Networks.

PloS one Jun 25, 2024
Deep learning, a pivotal branch of artificial intelligence, has increasingly influenced the financial domain with its advanced data processing capabilities. This paper introduces Factor-GAN, an innovative framework that utilizes Generative Adversaria...
Neural Networks, Computer Artificial Intelligence China Models, Economic Deep Learning Humans Commerce Investments
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