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    Findings on Machine Learning Reported by Investigators at James Cook University [Clustered Automated Machine Learning (Caml) Model for Clinic al Coding Multi-label Classification]

    10-11页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Machine Learning are discussed in a new report. According to news reporting originating from Town sville, Australia, by NewsRx correspondents, research stated, “Clinical coding i s a time-consuming task that involves manually identifying and classifying patie nts’ diseases. This task becomes even more challenging when classifying across m ultiple diagnoses and performing multi-label classification.” Financial support for this research came from James Cook University.

    Hunan University of Technology Reports Findings in Machine Learning (Intelligent identification of picking periods of Lu’an Guapian tea by an indicator displace ment colorimetric sensor array combined with machine learning)

    11-12页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news originating from Zhuzhou, People’s Repu blic of China, by NewsRx correspondents, research stated, “Lu’an Gua Pian (LAGP) tea is one of the most famous green teas in China. The quality of green tea is related to its picking periods, especially the green tea before Qingming Festiva l (usually April 6th) is highly praised as precious in the market.”

    New Machine Learning Study Findings Have Been Reported by Investigators at Unive rsity of Bonn (Machine Learning Models With Distinct Shapley and Interpretation for Chemical Compound Predictions)

    12-13页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learn ing have been published. According to news originating from Bonn, Germany, by Ne wsRx correspondents, research stated, “Explaining black box predictions of machi ne learning (ML) models is a topical issue in artificial intelligence (AI) resea rch. For the identification of features determining predictions, the Shapley val ue formalism originally developed in game theory is widely used in different fie lds.”

    Reports Summarize Cyborg and Bionic Systems Research from Technical University M unich (TU Munich) (Modeling Grid Cell Distortions with a Grid Cell Calibration M echanism)

    13-14页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in cyborg and bionic systems. According to news reporting out of Munich, Germany, by NewsR x editors, research stated, “The medial entorhinal cortex of rodents is known to contain grid cells that exhibit precise periodic firing patterns based on the a nimal’s position, resulting in a distinct hexagonal pattern in space. These cell s have been extensively studied due to their potential to unveil the navigationa l computations that occur within the mammalian brain and interesting phenomena s uch as so-called grid cell distortions have been observed.” Funders for this research include Horizon 2020 Framework Programme.

    Investigators from Deakin University Release New Data on Machine Learning (A Pre dictive Model for Turbulence Evolution and Mixing Using Machine Learning)

    14-15页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in Machine Learning. According to news originating from Geelong, Australia, by News Rx correspondents, research stated, “The high cost associated with high-fidelity computational fluid dynamics (CFD) is one of the main challenges that inhibit t he design and optimisation of new fluid-flow systems. In this study, we explore the feasibility of a physics-informed deep learning approach to predict turbulen ce evolution and mixing without requiring a classical CFD solver.” Financial support for this research came from Deakin University Postgraduate Res earch Scholarship (DUPR).

    Reports from School of Computer Science and Engineering Highlight Recent Researc h in Machine Learning (An Improved Count- Based Classifier for Categorical Data)

    15-15页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on ar tificial intelligence. According to news reporting originating from Chennai, Ind ia, by NewsRx correspondents, research stated, “The classification of categorica l data is a fundamental task in machine learning, with numerous algorithms and t echniques available. However, existing approaches often face challenges related to interpretability, scalability, and handling sparse or imbalanced datasets.”

    Study Data from Wuhan University Provide New Insights into Computational Intelli gence (Low-light Salient Object Detection Meets the Small Size)

    16-16页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ma chine Learning - Computational Intelligence. According to news reporting from Wu han, People’s Republic of China, by NewsRx journalists, research stated, “Low-li ght Small Salient Object Detection (LS-SOD) focuses on small salient objects in low light, a crucial and realistic problem for nighttime automatic driving and s urveillance. However, relatively few efforts have been put toward LS-SOD due to the challenge of collecting and precisely annotating massive LS-SOD data.”

    Capital Medical University Reports Findings in Lung Cancer (Functional explorati on and drug prediction on programmed cell deathrelated biomarkers in lung adeno carcinoma)

    17-17页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Oncology - Lung Cancer is the subject of a report. According to news reporting from Beijing, People’s Republic of China, by NewsRx journalists, research stated, “Our study aims to pe rform functional exploration and drug prediction of programmed cell death (PCD)- related biomarkers in lung adenocarcinoma (LUAD). UCSC-Xena obtained LUAD-relate d genes.”

    Department of Joint Surgery Reports Findings in Esophageal Cancer (Use machine l earning to predict pulmonary metastasis of esophageal cancer: a population-based study)

    18-19页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Oncology - Esophageal Cancer is the subject of a report. According to news originating from Zhejiang, People’s Republic of China, by NewsRx correspondents, research stated, “This stu dy aims to establish a predictive model for assessing the risk of esophageal can cer lung metastasis using machine learning techniques. Data on esophageal cancer patients from 2010 to 2020 were extracted from the surveillance, epidemiology, and end results (SEER) database.”

    University Hospital Essen Reports Findings in Machine Learning (radMLBench: A da taset collection for benchmarking in radiomics)

    18-18页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting originating from Essen, Germa ny, by NewsRx editors, the research stated, “New machine learning methods and te chniques are frequently introduced in radiomics, but they are often tested on a single dataset, which makes it challenging to assess their true benefit. Current ly, there is a lack of a larger, publicly accessible dataset collection on which such assessments could be performed.”