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    National University of Science and Technology (NUST) Researchers Target Robotics [Collaborative robots (cobots) for disaster risk resilience: a framework for swarm of snake robots in delivering first aid in emergency situ ations]

    65-66页
    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 robotics is now availab le. According to news reporting from Islamabad, Pakistan, by NewsRx journalists, research stated, “Cobots are robots that are built for human-robot collaboratio n (HRC) in a shared environment. In the aftermath of disasters, cobots can coope rate with humans to mitigate risks and increase the possibility of rescuing peop le in distress.”

    New Findings in Robotics Described from University of Freiburg (The Treachery of Images: Bayesian Scene Keypoints for Deep Policy Learning In Robotic Manipulati on)

    66-66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 Freiburg, Germany, by NewsRx editors, research stated, “In policy learning for robotic manipulation, sample efficiency is of paramount importance. Thus, learning and extracting more compac t representations from camera observations is a promising avenue.”

    Recent Research from School of Electrical Engineering Highlight Findings in Supp ort Vector Machines (Hand Gesture Classification Framework Leveraging the Entrop y Features From Semg and Vmd Multi-class Svm)

    67-67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 - Su pport Vector Machines have been presented. According to news reporting out of Ta mil Nadu, India, by NewsRx editors, research stated, “To improve the classificat ion accuracy of hand movements from sEMG signals, this paper puts forward a unif ied hand gesture classification framework which exploits the potentials of varia tional mode decomposition (VMD) and multi-class support vector machine (SVM). Ac quiring the sEMG signals from 25 intact subjects for ten functional activities i n real-time, we implement a non-recursive adaptive decomposition technique to sE MG signals and perform power spectral analysis to identify the dominant narrow-b and intrinsic mode functions (IMFs) that contain prominent biomarkers.”

    First Affiliated Hospital of Chongqing Medical University Reports Findings in Re lapsing-Remitting Multiple Sclerosis (Interpretable and Intuitive Machine Learni ng Approaches for Predicting Disability Progression in Relapsing-Remitting Multi ple …)

    68-69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 Autoimmune Diseases an d Conditions - Relapsing-Remitting Multiple Sclerosis is the subject of a report . According to news reporting from Chongqing, People’s Republic of China, by New sRx journalists, research stated, “To investigate whether clinical and gray matt er (GM) atrophy indicators can predict disability in relapsing-remitting multipl e sclerosis (RRMS) and to enhance the interpretability and intuitiveness of a pr edictive machine learning model. 145 and 50 RRMS patients with structural MRI an d at least 1-year follow-up Expanded Disability Status Scale (EDSS) results were retrospectively enrolled and placed in the discovery and external test cohorts, respectively. Six clinical and radiomics feature-based machine learning classif iers were trained and tested to predict disability progression in the discovery cohort and validated in the external test set.”

    Data on Machine Learning Detailed by Researchers at North Carolina State Univers ity (NC State) (Moisture-driven Cellulose Actuators With Directional Motion and Programmable Shapes)

    69-69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 Ma chine Learning. According to news reporting from Raleigh, North Carolina, by New sRx journalists, research stated, “The hygroscopic motion of plants has inspired the development of moisture-activated soft actuators. These actuators driven by ambient moisture sources are of great research interest in robotics and self-re gulating textiles.”

    New Machine Learning Data Has Been Reported by a Researcher at Osaka University (Automation of etch pit analyses on solid-state nuclear track detectors with mac hine learning for laser-driven ion acceleration)

    70-71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 artificial intelligen ce have been presented. According to news reporting originating from Osaka, Japa n, by NewsRx correspondents, research stated, “Solid-state nuclear track detecto rs (SSNTDs) are often used as ion detectors in laser-driven ion acceleration exp eriments and are considered to be the most reliable ion diagnostics since they a re sensitive only to ions and measure ions one by one. However, ion pit analyses require tremendous time and effort in chemical etching, microscope scanning, an d ion pit identification by eyes.”

    Cairo University Reports Findings in Artificial Intelligence (Validation of arti ficial intelligence contrast mammography in diagnosis of breast cancer: Relation ship to histopathological results)

    71-72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 originating from Cairo, Egypt, b y NewsRx correspondents, research stated, “Contrast-enhanced mammography (CEM) i s used for characterization of breast lesions with increased diagnostic accuracy compared to digital mammography (DM). Artificial intelligence (AI) approaches a re emerging with accuracies equal to an average radiologist.”

    Researchers from Chinese Academy of Sciences Detail Findings in Robotics (Weldne t: a Deep Learning Based Method for Weld Seam Type Identification and Initial)

    72-73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 Robotics have been pr esented. According to news originating from Beijing, People’s Republic of China, by NewsRx correspondents, research stated, “To address the limitations associat ed with the low intelligence of welding robots, a weld seam type identification and initial point guidance method based on deep neural network named WeldNet was proposed. By incorporating channel shuffling and an attention module, the size of the WeldNet model is reduced while preserving high detection accuracy.”

    Investigators from University of Leuven (KU Leuven) Report New Data on Robotics (A Tool To Evaluate Industrial Cobot Safety Readiness From a System-wide Perspec tive: an Empirical Validation)

    73-74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. According to news reporting from Leuven, Belgium, by NewsRx journalists, rese arch stated, “The emergence of collaborative robots (cobots) has transformed the interaction between humans and robots in industrial workspaces. While cobots of fer significant advantages in productivity and flexibility, their unique interac tion model with humans introduces additional safety considerations.”

    University of Transport Technology Reports Findings in Machine Learning (Evaluat ion and estimation of compressive strength of concrete masonry prism using gradi ent boosting algorithm)

    74-75页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on Machine Learning is the subject o f a report. According to news reporting originating from Hanoi, Vietnam, by News Rx correspondents, research stated, “The compressive strength (CS) of the hollow concrete masonry prism is known as an important parameter for designing masonry structures. In general, the CS is determined using laboratory tests, however, l aboratory tests are timeconsuming and high-cost.”