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    Investigators from University of North Carolina Release New Data on Artificial I ntelligence (The Promise of Artificial Intelligenceassisted Point-of-care Ultra sonography In Perioperative Care)

    94-95页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Artific ial Intelligence. According to news reporting from Chapel Hill, North Carolina, by NewsRx journalists, research stated, “The role of point-of-care ultrasonograp hy in the perioperative setting has expanded rapidly over recent years.” The news correspondents obtained a quote from the research from the University o f North Carolina, “Revolutionizing this technology further is integrating artifi cial intelligence to assist clinicians in optimizing images, identifying anomali es, performing automated measurements and calculations, and facilitating diagnos es. Artificial intelligence can increase point-of-care ultrasonography efficienc y and accuracy, making it an even more valuable point-of-care tool.”

    Study Findings on Machine Learning Are Outlined in Reports from Southeast University (Machine Learning-assisted Calibration for Ray-tracing Channel Simulation At Centimeter-wave and Millimeter-wave Bands)

    95-96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 originating from Nanjing, P eople’s Republic of China, by NewsRx correspondents, research stated, “Ray-traci ng (RT) channel simulation is widely used in channel modeling and prediction. Th e electrical parameters of multiple types of materials play an important role in the accuracy and reliability of RT channel simulations.”

    Researchers at National University of Singapore Publish New Study Findings on Ma chine Learning (Robust reduced-order machine learning modeling of high-dimension al nonlinear processes using noisy data)

    96-97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 artificial in telligence have been published. According to news reporting originating from Nat ional University of Singapore by NewsRx correspondents, research stated, “Autoen coder-based reduced-order machine learning models have been developed for modeli ng and predictive control of nonlinear chemical processes with high dimensionality such as discretization of reaction-diffusion processes.”

    Reports from Silesian University of Technology Highlight Recent Findings in Mach ine Learning (Piezotensornet: Crystallography Informed Multi-scale Hierarchical Machine Learning Model for Rapid Piezoelectric Performance Finetuning)

    97-97页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on Machine Learning are pre sented in a new report. According to news reporting out of Gliwice, Poland, by N ewsRx editors, research stated, “Piezoelectric devices offer numerous opportunit ies for sustainable harvesting of wasted mechanical energy, leading to a signifi cant interest in data -driven research on these materials. This study presents t he design of PiezoTensorNet, a comprehensive framework that encompasses a hierar chical classification neural network for crystal point group determination and m odular ensembles of regression -based multi -dimensional models for predicting piezoelectric tensors.”

    Investigators from Wuhan University Have Reported New Data on Robotics and Autom ation (Tracking By Detection: Robust Indoor Rgb-d Odometry Leveraging Key Local Manhattan World)

    98-98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 - Roboti cs and Automation are discussed in a new report. According to news reporting out of Wuhan, People’s Republic of China, by NewsRx editors, research stated, “In i ndoor scenes, pose estimation drift in SLAM systems is challenging to mitigate d ue to factors like low texture and texture repetition. Several studies utilize M anhattan structural information to achieve low-drift rotation estimation consequ ently reducing the cumulative error.”

    Studies from University of California in the Area of Intelligent Systems Describ ed (Conjunctive block coding for hyperdimensional graph representation)

    99-99页
    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 intelligent systems. According to news reporting originating from the University of California by NewsRx correspondents, research stated, “Knowledge Graphs (KGs ) have become a pivotal knowledge representation tool in machine learning, not o nly providing access to existing knowledge but also enabling the discovery of ne w knowledge through advanced applications.”

    Radboud University Medical Center Reports Findings in Pneumoperitoneum (Recovery and immune function after low pressure pneumoperitoneum during robot-assisted r adical prostatectomy: a randomised controlled trial)

    99-100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 Digestive System Disea ses and Conditions - Pneumoperitoneum is the subject of a report. According to n ews reporting from Nijmegen, Netherlands, by NewsRx journalists, research stated , “To compare the effectiveness of low intra-abdominal pressure (IAP) facilitate d by deep neuromuscular block (NMB) to standard practice in improving the qualit y of recovery, preserving immune function, and enhancing parietal perfusion duri ng robot-assisted radical prostatectomy (RARP). In this blinded, randomised cont rolled trial, 96 patients were randomised to the experimental group with low IAP (8 mmHg) facilitated by deep NMB (post-tetanic count 1-2) or the control group with standard IAP (14 mmHg) and moderate NMB (train-of-four 1-2).”

    Researchers from Xi’an Jiaotong University Discuss Findings in Robotics and Auto mation (Switching Control for a Soft Rehabilitation Glove With Pneumatic Bellows Actuators)

    101-101页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Robotic s - Robotics and Automation. According to news reporting out of Xi’an, People’s Republic of China, by NewsRx editors, research stated, “This letter introduces a switching control method for a soft rehabilitation glove using pneumatic bellow s actuators. The design and manufacture are introduced for the soft rehabilitati on glove.”

    Research from University of Sharjah Yields New Data on Machine Learning (Predict ive models for flexible pavement fatigue cracking based on machine learning)

    102-102页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on ar tificial intelligence. According to news reporting originating from Sharjah, Uni ted Arab Emirates, by NewsRx correspondents, research stated, “Pavement performa nce prediction is crucial for ensuring the longevity and safety of road networks . In our extensive study, we employ a diverse array of techniques to enhance fat igue performance models in flexible pavements.”

    New Study Findings from Kingston University Illuminate Research in Intelligent S ystems (A sentiment analysis approach for understanding users’ perception of met averse marketplace)

    103-103页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on in telligent systems. According to news reporting out of Kingston University by New sRx editors, research stated, “This research explores the user perceptions of th e Metaverse Marketplace, analyzing a substantial dataset of over 860,000 Twitter posts through sentiment analysis and topic modeling techniques. The study aims to uncover the driving factors behind user engagement and sentiment in this novel digital trading space.”