首页期刊导航|Robotics & Machine Learning Daily News
期刊信息/Journal information
Robotics & Machine Learning Daily News
NewsRx
Robotics & Machine Learning Daily News

NewsRx

Robotics & Machine Learning Daily News/Journal Robotics & Machine Learning Daily News
正式出版
收录年代

    Health Services Research Reports Findings in Personalized Medicine (Evaluating t he impact of robotic-assisted total knee arthroplasty on quality of care through patient-reported outcome measures in a third-level hospital in Italy: A prospec tive …)

    50-51页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Drugs and Therapies - Personalized Medicine is the subject of a report.According to news originating from Ravenna, Italy, by NewsRx correspondents, research stated, “With theshift towards personalized medicine, understanding the impact of robotic-assisted tota l knee arthroplasty(TKA) on patient-reported outcome measures (PROMs) is essent ial for evaluating its effectiveness andpatient satisfaction. The QUAROB (Quali ty-assessment-of-ROBotic-orthopedic-surgery) study aims atassessing the impact of robotic surgery on quality of care and joint functionality at 6 months post-s urgeryamong patients undergoing robotic-assisted TKA.”

    Research Data from Northwestern University Update Understanding of Brain-Based D evices (Enhancing Biocompatibility of the Brainmachine Interface: a Review)

    51-51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 Brain-Based Devices is now available. According to news reporting outof Evanston, Illinois, by NewsRx editors, research stated, “In vivo implantation of microelectrodes opensthe doo r to studying neural circuits and restoring damaged neural pathways through dire ct electricalstimulation and recording.”

    Study Results from Changsha University of Science and Technology Broaden Underst anding of Support Vector Machines (Strength Prediction of Asphalt Mixture Under Interactive Conditions Based On Bpnn and Svm)

    52-53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 Machine Learning - Support Vector Machines. Accordingto news reporting originating fro m Hunan, People’s Republic of China, by NewsRx correspondents, researchstated, “Predicting the strength of asphalt mixtures with different specifications under various conditionswas a highly challenging task. The standard strength test la cked consideration of multiple factors, resultingin an inability to accurately characterize the properties of the pavement.”

    National University of Singapore Reports Findings in Machine Learning (Quantum M achine Learning With Indefinite Causal Order)

    53-53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 Ma chine Learning. According to news originatingfrom Singapore, Singapore, by News Rx correspondents, research stated, “In a conventional circuit forquantum machi ne learning, the quantum gates used to encode the input parameters and the varia tionalparameters are constructed with a fixed order. The resulting output funct ion, which can be expressed inthe form of a restricted Fourier series, has limi ted flexibility in the distributions of its Fourier coefficients.”

    Chongqing Medical University Reports Findings in Support Vector Machines (Robust Radiomics Models for Predicting HIFU Prognosis in Uterine Fibroids Using SHAP E xplanations: A Multicenter Cohort Study)

    54-54页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning - Sup port Vector Machines is the subject of areport. According to news reporting out of Chongqing, People’s Republic of China, by NewsRx editors,research stated, “ This study sought to develop and validate different machine learning (ML) modelsthat leverage non-contrast MRI radiomics to predict the degree of nonperfusion volume ratio (NVPR) ofhigh-intensity focused ultrasound (HIFU) treatment for ut erine fibroids, equipping clinicians with an earlyprediction tool for decision- making. This study conducted a retrospective analysis on 221 patients withuteri ne fibroids who received HIFU treatment and were divided into a training set (N = 117), internalvalidation (N = 49), and an external test set (N = 55).”

    New Machine Learning Study Findings Recently Were Reported by Researchers at Tec hnical University Wien (TU Wien) (Machine Learning-enhanced Piv for Analyzing Mi crofiber-wall Turbulence Interactions)

    55-55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 Machine Learn ing have been published. According to newsreporting originating from Vienna, Au stria, by NewsRx correspondents, research stated, “A machinelearning-based appr oach, RAFT-PIV, is used to measure with single-pixel resolution the flow field a rounda microplastic fiber in a turbulent channel flow at a Shear Reynolds numbe r of 1000. The results revealthe interaction of the fiber with a hairpin vortex .”

    Reports Outline Robotics Study Findings from Technical University Braunschweig ( TU Braunschweig) (Efficiently Reconfiguring a Connected Swarm of Labeled Robots)

    56-57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 reporting originatingfrom Braunschweig, Germany, by NewsR x correspondents, research stated, “When considering motionplanning for a swarm of n labeled robots, we need to rearrange a given start configuration into a de sired target configuration via a sequence of parallel, collision-free moves. The objective is to reach the newconfiguration in a minimum amount of time.”

    Central South University Reports Findings in Robotics (Heuristic dense reward sh aping for learning-based map-free navigation of industrial automatic mobile robo ts)

    56-56页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Robotics is the subjec t of a report. According to news reporting out ofChangsha, People’s Republic of China, by NewsRx editors, research stated, “This paper presents a map-freenavi gation approach for industrial automatic mobile robots (AMRs), designed to ensur e computationalefficiency, cost-effectiveness, and adaptability. Utilizing deep reinforcement learning (DRL), the systemenables real-time decision-making with out fixed markers or frequent map updates.”

    Belgorod State University Details Findings in Machine Learning (Machine Learning Assisted Design of New Ductile High-entropy Alloys: Application To Al-cr-nb-ti- v-zr System)

    58-58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 Ma chine Learning. According to news reportingoriginating in Belgorod, Russia, by NewsRx journalists, research stated, “The search for new high-entropyalloys (HE As) with desired properties is an urgent problem that is hardly solvable experim entally dueto the extremely large number of possible alloy compositions. Thus, methods for theoretical prediction ofHEA’s properties play a key role.”

    Faculty of Medicine Reports Findings in Artificial Intelligence (Representation of intensivists’ race/ethnicity, sex, and age by artificial intelligence: a cros s-sectional study of two text-to-image models)

    59-59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 report. According tonews reporting from Geneva, Switzerla nd, by NewsRx journalists, research stated, “Integrating artificialintelligence (AI) into intensive care practices can enhance patient care by providing real-t ime predictionsand aiding clinical decisions. However, biases in AI models can undermine diversity, equity, and inclusion(DEI) efforts, particularly in visual representations of healthcare professionals.”