AIMC Topic: Commerce

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Guidance on selecting and evaluating AI auto-segmentation systems in clinical radiotherapy: insights from a six-vendor analysis.

Physical and engineering sciences in medicine Jan 13, 2025
Artificial Intelligence (AI) based auto-segmentation has demonstrated numerous benefits to clinical radiotherapy workflows. However, the rapidly changing regulatory, research, and market environment presents challenges around selecting and evaluating...
Humans Automation Radiotherapy Commerce Artificial Intelligence Retrospective Studies
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Revolutionizing cross-border e-commerce: A deep dive into AI and big data-driven innovations for the straw hat industry.

PloS one Dec 20, 2024
This paper investigates the impact of artificial intelligence (AI) and big data analytics on optimizing cross-border e-commerce efficiency for straw hat manufacturers in Zhejiang Province, China. It identifies market and consumer demand trends throug...
China Big Data Artificial Intelligence Machine Learning Humans Industry Marketing Commerce
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Technological innovations fuel carbon prices and transform environmental management across Europe.

Journal of environmental management Dec 17, 2024
This study investigates the impact of recent Artificial Intelligence (AI)-driven technological innovations on carbon prices across different quantiles, assessing the influence of AI stock prices on energy prices based on European carbon allowances wh...
Europe Commerce Technology Carbon Artificial Intelligence
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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...
COVID-19 SARS-CoV-2 China Humans Machine Learning Investments Models, Economic Commerce
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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. ...
Commerce Oryza Models, Economic Forecasting Agriculture Fuzzy Logic Humans 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...
Humans Commerce Internet of Things Manufacturing Industry Delphi Technique Bangladesh Fuzzy Logic
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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...
United States Livestock Commerce Artificial Intelligence Japan Animal Husbandry 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...
Neural Networks, Computer Forecasting Commerce Seasons Raphanus Crops, Agricultural
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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...
Commerce Machine Learning Animals Bivalvia Seafood Microbiota
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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...
Commerce Firearms Crime Machine Learning California Humans
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