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    Semmelweis University Researchers Target Machine Learning (Human identification via digital palatal scans: a machine learning validation pilot study)

    85-86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 tonews reporting originating from Sem melweis University by NewsRx correspondents, research stated, “Thisstudy aims t o validate a machine learning algorithm previously developed in a training popul ation on adifferent randomly chosen population (i.e., test set). The discrimina tion potential of the palatal intraoralscan-based geometric and superimposition methods was evaluated.”

    Data on Malaria Reported by Ivo Henrique Provensi Vieira and Colleagues (Applica tion of Machine Learning in the Development of Fourth Degree Quantitative Struct ure-Activity Relationship Model for Triclosan Analogs Tested against Plasmodium …)

    86-87页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Mosquito-Borne Disease s - Malaria is the subject of a report.According to news reporting out of Porto Velho, Brazil, by NewsRx editors, research stated, “Despitenew therapies again st malaria, this disease remains one of the main causes of death affecting human ity.The phenomenon of resistance has caused concern as the drugs no longer have the same efficacy, forcingscientific research to develop new methods that pros pect new molecules.”

    North Sichuan Medical College Reports Findings in Cystectomy (Comparative periop erative outcomes of intravenous indocyanine green during robot-assisted cystecto my: a meta-analysis and systematic review)

    87-88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 - Cystectomy i s the subject of a report. According tonews reporting originating from Sichuan, People’s Republic of China, by NewsRx correspondents, researchstated, “This st udy aimed to evaluate the clinical utility of intravenous indocyanine green (ICG ) in thecontext of robot-assisted cystectomy (RAC) through a systematic review and meta-analysis. The primaryfocus was to compare postoperative complications and perioperative outcomes between the ICG cohortand the non-ICG cohort.”

    Researchers from North Minzu University Describe Findings in Support Vector Mach ines (A Novel Robust Generalized Eigenvalue Proximal Support Vector Machine for Pattern Classification)

    88-89页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Researchers detail new data in Support Vector Mac hines. According to news reporting originating inYinchuan, People’s Republic of China, by NewsRx journalists, research stated, “By minimizing the p-orderof L- 2-norm distance of the objection function of the improved generalized eigenvalue proxi- mal supportvector machine (IGEPSVM), the L-2,L-p-LIGEPSVM is proposed i n this paper. Firstly, the solution of theL-2,L-p-LIGEPSVM is demonstrated to b e related to the minimum eigenvalue of the correlation matrix,and an improved i nverse power method is devised to solve the L-2,L-p-LIGEPSVM.”

    School of Mechanical Engineering Reports Findings in Machine Learning (Predictin g Corrosion Current Density In Magnesium Alloy Battery Anodes: Machine Learning Approach Using Rapid Miner)

    90-91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 originating in Chennai, Indi a, by NewsRx editors, the research stated, “Magnesium (Mg) alloysare increasing ly recognised for their potential as anode materials in batteries due to their h igh specificcapacity and cost-effectiveness. However, their susceptibility to c orrosion poses a significant challenge topractical applications.”

    Royal Surrey County Hospital Reports Findings in Artificial Intelligence (Artifi cial intelligence in robot-assisted radical prostatectomy: where do we stand tod ay?)

    91-92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 to newsoriginating from Surrey, United Kingdom, by NewsRx correspondents, research stated, “The developmentof Artifici al Intelligence (AI) is one of the most revolutionary changes in modern history. The combinationof AI and Robotic surgery can be used positively for better pat ient outcomes.”

    New Machine Learning Study Findings Recently Were Reported by Researchers at Nat ional Aeronautics and Space Administration (NASA) (Machine Learning Based Damage Identification In Sic/sic Composites From Acoustic Emissions Using Autoencoders )

    92-93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 tonews reporting out of Cleveland, Ohio, by NewsRx editors, research stated, “Developing the ability toleverage machine lea rning (ML) to identify damage mechanisms in heterogeneous materials from their acoustic emissions (AE) has wide-reaching ramifications for multi-modal experimen tation. It would allowresearchers to augment damage triangulation, lifetime pre diction, and high-resolution optical studies withcomplementary mechanism-inform ed data streams.”

    Cedars-Sinai Medical Center Reports Findings in Artificial Intelligence (Applica tion of CT-based foundational artificial intelligence and radiomics models for p rediction of survival for lung cancer patients treated on the NRG/RTOG 0617 clin ical …

    94-95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 to newsoriginating from California, Uni ted States, by NewsRx correspondents, research stated, “To apply CT-basedfounda tional artificial intelligence (AI) and radiomics models for predicting overall survival (OS) for patientswith locally advanced non-small cell lung cancer (NSC LC). Data for 449 patients retrospectively treatedon the NRG Oncology/Radiation Therapy Oncology Group (RTOG) 0617 clinical trial were analyzed.”

    Researchers from Chongqing University Discuss Findings in Machine Learning (Mach ine Learning-based Method for Gas Leakage Source Term Estimation In Highway Tunn els)

    95-96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 is th e subject of a report. According to newsreporting out of Chongqing, People’s Re public of China, by NewsRx editors, the research stated, “Incidentsinvolving th e leakage of flammable and explosive chemicals in highway tunnels can lead to di sastrousevents such as fires and explosions. The distinctive features of highwa y tunnels, characterized by theirconfined and elongated structure, intensify th e complexity of managing such accidents, potentially resultingin significant ca sualties and property damage.”

    Researchers from Xidian University Provide Details of New Studies and Findings i n the Area of Robotics (Mt-rsl: a Multitaskingoriented Robot Skill Learning Fra mework Based On Continuous Dynamic Movement Primitives for Improving Efficiency and …)

    97-98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 Robotics have been published. According to news reportingfrom Xi’an, People’s Republic of Ch ina, by NewsRx journalists, research stated, “Robot skill learning isone of the international advanced directions in the field of robot-based intelligent manuf acturing, whichmakes it possible for robots to learn and operate autonomously i n complex real-world environments. In thispaper, we propose a multitasking-orie nted robot skill learning framework named MTRSL to improve theefficiency and ro bustness of multi-task robot skill learning in complex real-world environments, and presentthe detailed design steps of three key sub-modules included in MT-RS L, namely, sub-task segmentationmodule, robot skill learning module, and robot configuration optimization module.”