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    New Robotics Study Findings Recently Were Reported by Researchers at Rice Univer sity (Multi Degree of Freedom Hybrid FES and Robotic Control of the Upper Limb)

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    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on robotics are presented i n a new report. According to news reporting originating from Houston, Texas, by NewsRx correspondents, research stated, “Individuals who have suffered a spinal cord injury often require assistance to complete daily activities, and for indiv iduals with tetraplegia, recovery of upper-limb function is among their top prio rities. Hybrid functional electrical stimulation (FES) and exoskeleton systems h ave emerged as a potential solution to provide upper limb movement assistance.” Financial supporters for this research include National Science Foundation.

    Reports from Technical University Add New Study Findings to Research in Robotics (Robot-aided tailoring of flame spray coatings for high-temperature barrier app lication)

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    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on robotics have been pr esented. According to news reporting originating from Technical University by Ne wsRx correspondents, research stated, “The flame spraying of refractory ceramics such as alumina is a promising technique for the modification of manifold subst rate materials for high-temperature application.” Financial supporters for this research include German Research Foundation; Feder al Ministry of Education And Research Berlin Office; Federal State of Saxony.

    Recent Findings from Spanish National Research Council (CSIC) Provides New Insig hts into Machine Learning (Idoser: Improving Individualized Dosing Policies With Clinical Practice and Machine Learning)

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    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Machine Learning is now available. According to news reporting out of Barcelona, Spain, by NewsRx edito rs, research stated, “Optimizing drug dosages is essential for effective treatme nt. Clinical protocols may not suit all types of patients evenly, due to many dr ug trials not being designed to account for all comorbities or clinically releva nt outcomes.” Financial supporters for this research include Eugin Barcelona, Eugin Group.

    University College London (UCL) Hospitals NHS Foundation Trust Reports Findings in Arthroplasty (Factors associated with decreased length of stay following robo tic arm-assisted and conventional total hip arthroplasty)

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    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Surgery - Arthroplasty is the subject of a report. According to news reporting originating in London, United Kingdom, by NewsRx journalists, research stated, “Postoperative length of stay (LOS) and discharge dispositions following arthroplasty can be used as sur rogate measurements for improvements in patients’ pathways and costs. With the i ncreasing use of robotic technology in arthroplasty, it is important to assess i ts impact on LOS.”

    Researchers from KTH Royal Institute of Technology Describe Findings in Robotics and Automation (Toward a Robust Sensor Fusion Step for 3d Object Detection On C orrupted Data)

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    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Robotics - Robotics a nd Automation have been presented. According to news reporting originating in St ockholm, Sweden, by NewsRx journalists, research stated, “Multimodal sensor fusi on methods for 3D object detection have been revolutionizing the autonomous driv ing research field. Nevertheless, most of these methods heavily rely on dense Li DAR data and accurately calibrated sensors which is often not the case in real-w orld scenarios.” Financial support for this research came from Knut & Alice Wallenb erg Foundation.

    Research from Islamic Azad University in the Area of Machine Learning Published [Predicting river water quality: An imposing engagement betwe en machine learning and the QUAL2Kw models (case study: Aji-Chai, river, Iran)]

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    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators discuss new findings in artificial intelligence. According to news reporting out of Tabriz, Iran, by NewsRx editors , research stated, “Rivers play an essential role in supplying high-quality wate r to diverse sectors.” Funders for this research include Islamic Azad University Tabriz Branch. The news journalists obtained a quote from the research from Islamic Azad Univer sity: “Understanding water quality indicators and systematic monitoring is cruci al for water resources management and macro-level decision-making. In this conte xt, the forthcoming article delves into the simulation of three crucial paramete rs, namely EC, SAR, and TDS, through a reach of 106 km length along the Aji-Chai River, Iran, encompassing stations from Markid, Khajeh, Akhola, and Serin Dizj. This simulation employs three advanced machine learning models: SVM, GEP, and M LP, in conjunction with the QUAL2Kw mathematical simulator. The study meticulous ly evaluates the performance of these models using four key indices: RMSE, MAE, R2, and DDR. The calculated results unequivocally establish the superiority of t he SVM in simulating three essential water quality parameters across all station s. This is supported by consistently high R2 and DDR values, along with low RMSE and MAE values.”

    Data on Machine Learning Published by Researchers at University of Palermo (A ma chine learning strategy to mitigate the inappropriateness of procalcitonin reque st in clinical practice)

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    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on artificial intell igence are discussed in a new report. According to news originating from Palermo , Italy, by NewsRx correspondents, research stated, “The aim of this study was t o develop machine learning (ML) models to mitigate the inappropriate request of Procalcitonin (PCT) in clinical wards.” Our news reporters obtained a quote from the research from University of Palermo : “We built six different ML models based on both demographical data, i.e., sex and age, and laboratory parameters, i.e., cell blood count (CBC) parameters, inc lusive of monocyte distribution width (MDW), and C-reactive protein (CRP). The d ataset included 1667 PCT measurements of different patients. Based on a PCT cutoff of 0.50 ng/mL, we found 1090 negative (65.4%) and 577 positive (34.6%) results. We performed a 70:15:15 train:validation:test spli tting based on the outcome. Random Forest, Support Vector Machine and eXtreme Gr adient Boosting showed optimal performances for predicting PCT positivity, with an area under the curve ranging from 0.88 to 0.89.”

    Study Findings on Machine Learning Detailed by Researchers at St. Louis Universi ty (A machine learning approach to predict the S&P 500 absolute per cent change)

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    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in artificial intelligence. According to news originating from St. Louis University by NewsRx editors, the research stated, “Models of the stock market often focus on predicting the direction of the stock market.” The news editors obtained a quote from the research from St. Louis University: “ Instead of following this approach, we created a model to predict the daily abso lute percent change of the S&P 500. An accurate model of this metri c would greatly increase profitability of option trading strategies such as stra ddles and iron condors. In this project, novel features were created based on hi storical data and fed to machine learning algorithms such as Decision Trees, Rul e Based Classifiers, K-mean Clusters, and Kernels.”

    Recent Findings from University of California San Francisco (UCSF) Highlight Res earch in Machine Learning (Automated neonatal nnUNet brain MRI extractor traine d on a large multi-institutional dataset)

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    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on artificial intelligence are presented in a new report. According to news originating from the University of California San Francisco (UCSF) by NewsRx correspondents, research stated, “ Brain extraction, or skull-stripping, is an essential data preprocessing step fo r machine learning approaches to brain MRI analysis.”

    New Findings in Androids Described from Changchun University of Technology (Dece ntralized Variable Impedance Control of Modular Robot Manipulators With Physical Human-robot Interaction Using Gaussian Process-based Motion Intention Estimation)

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    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Robotics - Androids is the subject of a report. According to news reporting from Changchun, People’s R epublic of China, by NewsRx journalists, research stated, “This paper proposes a decentralized variable impedance control method of modular robot manipulators ( MRM) with physical human-robot interaction (pHRI) using Gaussian process-based m otion intention estimation. The dynamic model of MRM subsystem is established by using joint torque feedback (JTF) technique.” Funders for this research include National Natural Science Foundation of China ( NSFC), National Natural Science Foundation of China (NSFC), Scientific Technolog ical Development Plan Project in Jilin Province of China, Key Laboratory of Adva nced Structural Materials (Changchun University of Technology), Ministry of Educ ation, China.