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    Nanjing University of Aeronautics and Astronautics Reports Findings in Cholangio carcinoma (Comparison of Machine Learning Models Using Diffusion-Weighted Images for Pathological Grade of Intrahepatic Mass-Forming Cholangiocarcinoma)

    96-97页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Oncology - Cholangioca rcinoma is the subject of a report. Accordingto news originating from Nanjing, People’s Republic of China, by NewsRx correspondents, research stated,“Is the r adiomic approach, utilizing diffusion-weighted imaging (DWI), capable of predict ing the variouspathological grades of intrahepatic mass-forming cholangiocarcin oma (IMCC)? Furthermore, which modeldemonstrates superior performance among the diverse algorithms currently available? The objective of ourstudy is to develo p DWI radiomic models based on different machine learning algorithms and identif ythe optimal prediction model. We undertook a retrospective analysis of the DWI data of 77 patients withIMCC confirmed by pathological testing.”

    University of Bath Researchers Detail New Studies and Findings in the Area of Ro botics (Model-based trajectory tracking of a compliant continuum robot)

    97-97页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on robotics is now availab le. According to news originating fromBath, United Kingdom, by NewsRx correspon dents, research stated, “Compliant mechanisms, especiallycontinuum robots, are becoming integral to advancements in minimally invasive surgery due to their ability to autonomously navigate natural pathways, significantly reducing collision severity. A major challengelies in developing an effective control strategy to accurately reflect their behavior for enhanced operationalprecision.”

    Research Results from Chongqing University Update Knowledge of Machine Learning (A framework for computer-aided high performance titanium alloy design based on machine learning)

    98-98页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on artificial in telligence have been published. According to newsoriginating from Chongqing, Pe ople’s Republic of China, by NewsRx editors, the research stated, “Titaniumallo y exhibits exceptional performance and a wide range of applications, with the hi gh performance servingas the foundation for the development. However, tradition al material design methods encounter numerouscalculations and experimental tria l-and-error processes, leading to increased costs and decreased efficiencyin ma terial design.”

    Reports Outline Machine Learning Research from Tallinn University of Technology (Comparative Analysis of Machine Learning Techniques for Non-Intrusive Load Moni toring)

    99-99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 reportingout of Tallinn, Estonia, by N ewsRx editors, research stated, “Non-intrusive load monitoring (NILM) hasemerge d as a pivotal technology in energy management applications by enabling precise monitoring ofindividual appliance energy consumption without the requirements o f intrusive sensors or smart meters.”Financial supporters for this research include Estonian Research Council; Europe an CommissionThrough Dut Horizon Europe Partnership Project Fledge.

    Findings from Chongqing University of Posts and Telecommunications Has Provided New Data on Intelligent Systems (Multiconstraint Non-negative Matrix Factorizat ion for Community Detection: Orthogonal Regular Sparse Constraint Non-negative . ..)

    100-100页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – A new study on Machine Learning - Intelligent Sys tems is now available. According to newsreporting out of Chongqing, People’s Re public of China, by NewsRx editors, research stated, “Communitydetection is an important method to analyze the characteristics and structure of community netwo rks,which can excavate the potential links between nodes and further discover s ubgroups from complexnetworks. However, most of the existing methods only unila terally consider the direct link topologywithout comprehensively considering th e internal and external characteristics of the community as wellas the result i tself, which fails to maximize the access to the network information, thus affec ting theeffectiveness of community detection.”

    Studies from American University of the Middle East Further Understanding of Mac hine Learning (Diesel Adulteration Detection with a Machine Learning-Enhanced La ser Sensor Approach)

    101-101页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on artificial intelligenc e is the subject of a new report. According to newsreporting out of Egaila, Kuw ait, by NewsRx editors, research stated, “This paper introduces a novel andcost -effective method for detecting adulterated diesel, specifically targeting conta mination with kerosene,by leveraging machine learning and the refractive index values of mixed diesel samples.”

    New Machine Learning Study Findings Have Been Reported by Investigators at Oslo Metropolitan University (Trustworthy Machine Learning In the Context of Security and Privacy)

    101-102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 are pre sented in a new report. According to newsreporting out of Oslo, Norway, by News Rx editors, research stated, “Artificial intelligence-based algorithms are widel y adopted in critical applications such as healthcare and autonomous vehicles. M itigating thesecurity and privacy issues of AI models, and enhancing their trus tworthiness have become of paramountimportance.”

    Flinders University Researchers Add New Data to Research in Artificial Intellige nce (Exploring the Current Status and Future Potential of Robot, Artificial Inte lligence, and Service Automation in the Indonesian Tourism Industry)

    102-103页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on artificial in telligence have been published. According to newsreporting out of Flinders Univ ersity by NewsRx editors, research stated, “This paper examines the currentstat e and potential future applications of robots, artificial intelligence, and serv ice automation (RAISA)in the hospitality, travel, and tourism industry, with a focus on Indonesia.”

    Findings on Support Vector Machines Detailed by Investigators at HeNan Polytechn ic University (Fault Detection Method for Flexible Dc Grid Based On Ceemdan Mult iscale Entropy and Ga-svm)

    103-104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 - Suppo rt Vector Machines are presented in a newreport. According to news originating from Jiaozuo, People’s Republic of China, by NewsRx correspondents,research sta ted, “Compared with the traditional AC grid, the flexible DC grid has the advant ages of lowwire loss and large transmission capacity, but it is difficult to ex tract fault signals and diagnose variousfaults. Therefore, a fault detection me thod based on complete ensemble empirical mode decompositionwith adaptive noise analysis (CEEMDAN) multiscale entropy (MSE) and genetic algorithm optimizationsupport vector machine (GA-SVM) is proposed.”

    Data on Machine Learning Detailed by Researchers at North Carolina Agricultural and Technical State University (FL-IDS: Federated Learning-Based Intrusion Detec tion System Using Edge Devices for Transportation IoT)

    104-105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 artific ial intelligence. According to news reporting fromGreensboro, North Carolina, b y NewsRx journalists, research stated, “A federated learning-based intrusiondet ection system (FL-IDS) is introduced to enhance the security of vehicular networ ks in the contextof IoT edge device implementations. The FL-IDS system protects data privacy by using local learning, inwhich devices share only model updates with an aggregation server.”