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    Studies in the Area of Machine Learning Reported from University of Electronic S cience and Technology of China (Developing a Machine Learning Model to Predict 1 80-day Readmission for Elderly Patients with Angina)

    20-20页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on ar tificial intelligence. According to news originatingfrom Sichuan, People’s Repu blic of China, by NewsRx editors, the research stated, “Readmission of elderlya ngina patients has become a serious problem, with a dearth of available predicti on tools for readmissionassessment. The objective of this study was to develop a machine learning (ML) model that can predict180-day all-cause readmission for elderly angina patients.”

    Universitas Sangga Buana Researchers Publish New Data on Artificial Intelligence (Artificial Intelligence in Financial Reports: How It Affects the Process’s Eff ectiveness and Efficiency)

    21-22页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on artificial intelligence are presented in a new report. According to newsoriginating from the Universita s Sangga Buana by NewsRx correspondents, research stated, “In today’s digital ag e, artificial intelligence (AI) has revolutionized many sectors, including audit ing and finance,with the potential to improve the efficiency and effectiveness of the audit process.”

    Al-Baha University Researcher Describes Recent Advances in Machine Learning (Enh ancing Malware Detection by Integrating Machine Learning with Cuckoo Sandbox)

    21-21页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on ar tificial intelligence. According to news originatingfrom Al-Baha University by NewsRx correspondents, research stated, “In this work, two categories of deeple arning and conventional machine learning were used to classify malware using a d ataset of all possibleAPI call sequences.”

    Reports from Technical University Darmstadt (TU Darmstadt) Highlight Recent Find ings in Robotics (How and When Can Robots Be Team Members? Three Decades of Rese arch On Human-robot Teams)

    22-23页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in Robotic s. According to news reporting originatingfrom Darmstadt, Germany, by NewsRx co rrespondents, research stated, “Artificial intelligence and robotictechnologies have grown in sophistication and reach.”

    Sichuan University Reports Findings in Liver Resection (Robotic versus laparosco pic liver resection for posterosuperior segments: a systematic review and meta-a nalysis)

    23-24页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Surgery - Liver Resect ion is the subject of a report. According tonews originating from Chengdu, Peop le’s Republic of China, by NewsRx correspondents, research stated,“Minimally in vasive hepatectomy for difficult lesions located in posterosuperior segments (se gments I, IVa,VII and VIII) remains challenging. The value of robotic liver res ection (RLR) compared with laparoscopicliver resection (LLR) for posterosuperio r segments is controversial.”

    New Machine Learning Study Findings Have Been Reported by Investigators at Unive rsity of Liverpool (Portfolio Selection Under Non-gaussianity and Systemic Risk: a Machine Learning Based Forecasting Approach)

    24-25页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in Machine Learning. According to news reportingout of Liverpool, United Kingdom, by NewsRx editors, research stated, “The Sharpe-ratio-maximizingportfolio becom es questionable under non-Gaussian returns, and it rules out, by construction, s ystemicrisk, which can negatively affect its out-of-sample performance. In the present work, we develop a newperformance ratio that simultaneously addresses t hese two problems when building optimal portfolios.”

    Study Results from Institute of Dynamics Systems & Control Provide New Insights into Robotics and Automation (Inherently Robust Suboptimal Mpc for Autonomous Racing With Anytime Feasible Sqp)

    25-25页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in Robotics - Robotics and Automation. According tonews reporting originating in Z urich, Switzerland, by NewsRx journalists, research stated, “In this paper,we p ropose an efficient inexact model predictive control (MPC) strategy for autonomo us miniature racingwith inherent robustness properties.”

    Findings in the Area of Intelligent Systems Reported from Chongqing University o f Technology (Joint Entity and Relation Extraction Combined With Multi-module Fe ature Information Enhancement)

    26-26页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Machine Learning - Intel ligent Systems are presented in a new report.According to news reporting origin ating in Chongqing, People’s Republic of China, by NewsRx journalists,research stated, “The proposed method for joint entity and relation extraction integrates the tasks of entityextraction and relation classification by sharing the encod ing layer. However, the method faces challengesdue to incongruities in the cont extual information captured by these subtasks, resulting in potential featureco nflicts and adverse effects on model performance.”

    Reports on Machine Learning Findings from University of South Carolina Provide N ew Insights (Machine Learning Accelerated Firstprinciples Study of the Hydrodeo xygenation of Propanoic Acid)

    27-27页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in Machine Learning. According to news reportingout of Columbia, South Carolina, b y NewsRx editors, research stated, “The complex reaction network ofcatalytic bi omass conversions often involves hundreds of surface intermediates and thousands of reactionsteps, greatly hindering the rational design of metal catalysts for these conversions. Here, we present aframework of machine learning (ML)-accele rated first-principles studies for the hydrodeoxygenation (HDO)of propanoic aci d over transition metal surfaces.”

    Anhui University of Science & Technology Researcher Describes Adva nces in Pattern Recognition and Artificial Intelligence (Multi-Interest Sequenti al Recommendation with Simplified Graph Convolution and Multiple Item Features)

    28-28页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on pattern recognition a nd artificial intelligence have been presented.According to news originating fr om Anhui University of Science & Technology by NewsRx corresponden ts,research stated, “Multi-interest sequential recommendations leverage users’ historical behavior to providerecommendations that match multiple interests.”