Robotics & Machine Learning Daily News2024,Issue(Jul.1) :67-67.

Researchers from National Institute of Technology Durgapur Report New Studies an d Findings in the Area of Machine Learning (Efficient Healthcare Supply Chain: a Prioritized Multi-task Learning Approach With Task-specific Regularization)

杜加普尔国家理工学院的研究人员报告了机器学习领域的新研究和发现(高效医疗供应链:具有特定任务规范化的优先多任务学习方法)

Robotics & Machine Learning Daily News2024,Issue(Jul.1) :67-67.

Researchers from National Institute of Technology Durgapur Report New Studies an d Findings in the Area of Machine Learning (Efficient Healthcare Supply Chain: a Prioritized Multi-task Learning Approach With Task-specific Regularization)

杜加普尔国家理工学院的研究人员报告了机器学习领域的新研究和发现(高效医疗供应链:具有特定任务规范化的优先多任务学习方法)

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摘要

由一名新闻记者兼机器人与机器学习的新闻编辑每日新闻-调查人员发布了关于马学习的新报告。根据NewsRx Ed Itors在印度杜加普尔的新闻报道,研究表明,"医疗供应链管理对于医疗设施S的基本医疗资源的数量和及时交付至关重要。在此背景下,本文提出了一个机器学习模型,通过预测医疗供应数量和及时交付来增强医疗供应链的服务。"

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ma chine Learning. According to news reporting out of Durgapur, India, by NewsRx ed itors, research stated, “Healthcare supply chain management is vital for the ade quate and timely delivery of essential medical resources to healthcare facilitie s. In this context, a machine learning model is proposed in this paper to enhanc e the service of healthcare supply chains by predicting both the medical supply quantities and its timely delivery.”

Key words

Durgapur/India/Asia/Cyborgs/Emerging Technologies/Machine Learning/National Institute of Technology Durgapur

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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