Robotics & Machine Learning Daily News2024,Issue(Nov.19) :96-97.

New Findings Reported from Lublin University of Technology Describe Advances in Machine Learning (Energy Optimization in Ultrasound Tomography Through Sensor Re duction Supported by Machine Learning Algorithms)

卢布林理工大学的新发现描述了机器学习的进展(通过机器学习算法支持的传感器还原实现超声断层成像的能量优化)

Robotics & Machine Learning Daily News2024,Issue(Nov.19) :96-97.

New Findings Reported from Lublin University of Technology Describe Advances in Machine Learning (Energy Optimization in Ultrasound Tomography Through Sensor Re duction Supported by Machine Learning Algorithms)

卢布林理工大学的新发现描述了机器学习的进展(通过机器学习算法支持的传感器还原实现超声断层成像的能量优化)

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑新闻-关于人工智能的研究结果将在一份新报告中讨论。据新闻报道由NewsRx的记者来自波兰卢布林,研究称:“本文的重点是利用机器学习技术降低超声断层成像的能耗"。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Research findings on artificial intelligence are discussed in a new report. According to newsoriginating from Lublin, Poland, by NewsRx correspondents, research stated, “This paper focuses onreducing energy consumption in ultrasound tomography by utilizing machine learning techniques.”

Key words

Lublin University of Technology/Lublin/Poland/Europe/Algorithms/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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