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    Data from University of Sao Paulo Advance Knowledge in Artificial Intelligence ( Advancing Epilepsy Diagnosis: a Meta-analysis of Artificial Intelligence Approac hes for Interictal Epileptiform Discharge Detection)

    29-30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 reportingoriginating in Sao Paulo, Bra zil, by NewsRx journalists, research stated, “Interictal epileptiform discharges(IEDs) in electroencephalograms (EEGs) are an important biomarker for epilepsy. Currently, the goldstandard for IED detection is the visual analysis performed by experts.”

    New Data from Northeast Electric Power University Illuminate Findings in Robotic s (A Novel Real-time Tension Distribution Method for Cable-driven Parallel Robots)

    30-30页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – A new study on Robotics is now available. Accordi ng to news originating from Jilin, People’sRepublic of China, by NewsRx corresp ondents, research stated, “The tension distribution problem ofcable-driven para llel robots is inevitable in real-time control. Currently, iterative algorithms or geometricalgorithms are commonly used to solve this problem.”

    Adana City Training and Research Hospital Reports Findings inCarpal Tunnel Synd rome (Use of machine learning methods in diagnosis of carpal tunnel syndrome)

    31-31页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Nervous System Disease s and Conditions - Carpal Tunnel Syndromeis the subject of a report. According to news reporting originating from Adana, Turkey, by NewsRxcorrespondents, rese arch stated, “Carpal tunnel syndrome (CTS) is a common condition diagnosed usingphysical exams and electromyography (EMG) data. This study aimed to classify CT S severity usingmachine learning techniques.”

    Research Conducted at Karunya Institute of Technology & SciencesH as Provided New Information about Machine Learning (MachineLearning-based Optim ization for Enhanced Pullulan Recovery From Aureobasidium Pullulans)

    31-32页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on Machine Learning have been presented. According to news reportingout of Tamil Nadu, India, by NewsRx editors, research stated, “The solvent extraction protocol significantlyinflue nces the yield and purity of the exopolysaccharide recovery from cell-free broth . In this study, methanol, ethanol, isopropanol, acetone, and PEG-6000 were comp ared for the amount of pullulan recovery(PR), sucrose equivalent (SE), and prot ein impurity (PI) of the precipitate.”

    Reports from Deakin University Add New Data to Findings in Machine Learning (Ass essing Neural Markers of Attention During Exposure To Construction Noise Using M achine Learning Classification of Electroencephalogram Data)

    32-33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 Geelong, Australia, b y NewsRx journalists, research stated, “Construction noise is one of theleading causes of attention impairment both for workers within construction sites and i ndividuals in theirdirect vicinity. Distraction caused by construction noise ca n significantly affect productivity of people inthe surrounding area.”

    Reports Outline Robotics Study Results from Duke University Medical Center (Tran smitral Pressure Gradients In Patients With Degenerative Mitral Regurgitation Af ter Robotic Mitral Valve Repair With Leaflet Preservation Techniques)

    33-34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 Ro botics. According to news reporting out ofDurham, North Carolina, by NewsRx edi tors, research stated, “The hemodynamic effects of mitral valverepair (MVr) wit h respect to transmitral pressure gradients (TMPGs) have not been described well inpatients undergoing leaflet preservation techniques. In a population of pati ents undergoing robotic MVrwith leaflet preservation, we investigate the expect ed change of the postrepair intraoperative TMPG inthe postoperative follow-up p eriod.”

    Recent Findings in Artificial Intelligence Described by Researchers from Univers ity of Lyon (Enhancing wine authentication: leveraging 12,000+ international min eral wine profiles and artificial intelligence for accurate origin and variety . ..)

    34-35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 originatingfrom the University of Lyon by N ewsRx correspondents, research stated, “For the wine industry, ensuringquality and authenticity hinges on the precise determination of wine origin. In our stud y, we developeda fast semi-quantitative method to analyse 41 chemical elements in wine, employing inductively coupledplasma mass spectrometry (ICP-MS).”

    University of Calgary Reports Findings in Machine Learning (Machinelearning-bas ed estimation of respiratory fluctuations in ahealthy adult population using re sting state BOLD fMRI and head motion parameters)

    35-36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 newsoriginating from Calgary, Canada, by Ne wsRx correspondents, research stated, “External physiologicalmonitoring is the primary approach to measure and remove effects of low-frequency respiratory vari ationfrom BOLD-fMRI signals. However, the acquisition of clean external respira tory data during fMRI is notalways possible, so recent research has proposed us ing machine learning to directly estimate respiratoryvariation (RV), potentiall y obviating the need for external monitoring.”

    Recent Findings in Robotics Described by Researchers from Bandung Institute of T echnology (A Novel Morphing Soft Robot Design To Minimize Deviations)

    36-37页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Robotics are presented i n a new report. According to news reportingoriginating from Bandung, Indonesia, by NewsRx correspondents, research stated, “Soft robotics is rapidlyadvancing, particularly in medical device applications. A particular miniaturized manipula tor design thatoffers high dexterity, multiple degrees-of-freedom, and better l ateral force rendering than competingdesigns, has great potential for minimally invasive surgery.”

    Researchers at Naresuan University Publish New Study Findings onSupport Vector Machines (Robust Support Vector Machine With Asymmetric Truncated Generalized Pi nball Loss)

    37-38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 is now available. Accor ding to news reporting from Phitsanulok,Thailand, by NewsRx journalists, resear ch stated, “The support vector machine (SVM) with pinball loss(Pin-SVM) can han dle noise sensitivity and instability to re-sampling but loses sparsity.”Financial supporters for this research include Naresuan University (Nu), Nationa l Science, ResearchAnd Innovation Fund.