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    Reports on Robotics Findings from Zhejiang University of Technology Provide New Insights (Fixed Time Sliding Mode Control for Disturbed Robotic Manipulator)

    11-12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 Robotics are disc ussed in a new report. According to news reporting originating from Hangzhou, Pe ople’s Republic of China, by NewsRx correspondents, research stated, “In this st udy, a new fixed-time sliding mode control approach for trajectory tracking cont rol of robotic manipulator systems is devised, which provides fixed-time converg ence, robust stabilization, and high precision. A novel fixed-time non-singular fast terminal sliding mode surface (FNFTSMS) with fixedtime convergence is prov ided, and with settling time independent of the initial condition of the system and can be pre-determined using design parameters.”

    Study Results from Yangtze Normal University Broaden Understanding of Machine Le arning (Machine Learning Approaches for Predicting Power Conversion Efficiency I n Organic Solar Cells: a Comprehensive Review)

    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 reporting out of Chongqing, People’s Republic of China, by NewsRx editors, research stated, “Organic solar cells (OSC s), renowned for their lightweight, cost efficiency, and adaptability nature, st and out as a promising option for developing renewable energy. Improving the pow er conversion efficiency (PCE) of OSCs is essential, and researchers are delving into novel materials to achieve this.”

    Recent Findings from Yanshan University Has Provided New Information about Robot ics (An Active Slam With Multi-sensor Fusion for Snake Robots Based On Deep Rein forcement Learning)

    13-14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 Robotics have been published. According to news reporting originating from Qinhuangdao, Peopl e’s Republic of China, by NewsRx correspondents, research stated, “Snake-like ro bots can imitate the movement patterns of animals in nature and enter the space that traditional robots cannot enter, which adapt to environments that humans ca nnot reach, and expand the field of human exploration. However, it is often chal lenging to realize autonomous navigation and simultaneously avoid obstacles unde r an unknown environment, that is, active SLAM (Simultaneous Localization and Ma pping).”

    Norwegian University of Science and Technology (NTNU) Reports Findings in Artifi cial Intelligence [Personalised decision support in the manag ement of patients with musculoskeletal pain in primary physiotherapy care: a clu ster randomised ...]

    14-15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 Artificial Intelligenc e is the subject of a report. According to news reporting from Trondheim, Norway , by NewsRx journalists, research stated, “We developed the SupportPrim PT clini cal decision support system (CDSS) using the artificial intelligence method case -based reasoning to support personalised musculoskeletal pain management. The ai m of this study was to evaluate the effectiveness of the CDSS for patients in ph ysiotherapy practice.” Financial supporters for this research include Norsk Fysioterapeutforbund, Norge s Forskningsrad.

    Findings on Intelligent Transportation Systems Reported by Investigators at Nati onal University of Singapore (Impact Analysis of Traffic Factors On Urban Bus Bu nching)

    15-16页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Fresh data on Transportation - Intelligent Transp ortation Systems are presented in a new report. According to news reporting from Singapore, Singapore, by NewsRx journalists, research stated, “Due to the mixed right-of-way and varying traffic conditions, urban bus operations are often sub ject to random delays and eventually bus bunching, undermining the schedule reli ability. The existing studies have proposed different models to emulate bus bunc hing and control strategies to mitigate bus bunching, yet few of them considered the effect of the three important traffic factors: intersections with signal co ordination, varying traffic volume, and passenger demand.”

    University of Leuven (KU Leuven) Details Findings in Machine Learning (Photodiod e-based Porosity Prediction In Laser Powder Bed Fusion Considering Inter-hatch a nd Inter-layer Effects)

    16-17页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Machine Learning have been presented. According to news reporting originating from Heverlee, Belgium, by NewsRx correspondents, research stated, “Laser powder bed fusion, while prom ising, faces hurdles in certifying fabricated parts due to cost and complexity, with in-process monitoring emerging as a potential solution. Existing models foc us on predicting defects at a given location using the monitoring signals from s olely that same location.” Financial supporters for this research include European Union (EU), Marie Curie Actions.

    New Findings from University of Grenoble-Alpes in the Area of Robotics Described (On High Performance Control of Concentric Tube Continuum Robots Through Parsim onious Calibration)

    17-17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 Robotics have been published. According to news reporting out of Grenoble, France, by NewsRx editors, research stated, “Continuum robots deform continuously, compared to con ventional robots composed of rigid links and joints, and require dedicated calib ration methods. Indeed, calibration is an essential step to obtain high performa nce control, as it directly influences robot accuracy.”

    Studies in the Area of Machine Learning Reported from Guangdong Ocean University (Accelerated Discovery of Refractory Highentropy Alloys for Strength-ductility Co-optimization: an Exploration In Nbtazrhfmo System By Machine Learning)

    18-18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 out of Zhanjiang, Peo ple’s Republic of China, by NewsRx editors, research stated, “High temperature ( HT) strength and room temperature (RT) ductility trade-offs are always unavoidab le in the design of refractory high entropy alloys (RHEAs). Exploring the vast c hemistry space to find optimally strong and ductile RHEAs remains a highly chall enging task.”

    First Affiliated Hospital of Sun Yat-sen University Reports Findings in Machine Learning (Machine Learning Model Based on Prognostic Nutritional Index for Predi cting Long-Term Outcomes in Patients With HCC Undergoing Ablation)

    19-20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 from Guangdong, People’s Repu blic of China, by NewsRx journalists, research stated, “To develop multiple mach ine learning (ML) models based on the prognostic nutritional index (PNI) and det ermine the optimal model for predicting long-term survival outcomes in hepatocel lular carcinoma (HCC) patients after local ablation. From January 2009 to Decemb er 2019, we analyzed data from 848 primary HCC patients who underwent local abla tion.”

    University of Nebraska Medical Center Reports Findings in Artificial Intelligenc e (A review of artificial intelligence-based brain age estimation and its applic ations for related diseases)

    20-20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 Artificial Intelligenc e is the subject of a report. According to news reporting from Omaha, Nebraska, by NewsRx journalists, research stated, “The study of brain age has emerged over the past decade, aiming to estimate a person’s age based on brain imaging scans . Ideally, predicted brain age should match chronological age in healthy individ uals.”