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    Research from Chongqing University of Posts and Telecommunications Provides New Study Findings on Robotics (Smooth and Time-Optimal Trajectory Planning for Robo ts Using Improved Carnivorous Plant Algorithm)

    135-135页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators discuss new findings in robotics. A ccording to news originating from Chongqing,People’s Republic of China, by News Rx editors, the research stated, “To improve the safety and reliabilityof robot ic manipulators during high-speed precision movements, this paper proposes a met hod for smoothand time-optimal trajectory planning incorporating kinodynamic co nstraints.”

    Data on Machine Learning Described by a Researcher at National Institute of Tech nology Silchar (Spatial Modeling and Mapping of Riverbank Erosion Through the In tegration of Machine Learning Application and In-situ Data)

    135-136页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on artificial intelligenc e is the subject of a new report. According to news reporting out of Assam, Indi a, by NewsRx editors, research stated, “Assessing riverbank erosion iscrucial f or identifying hazard zones and implementing protective measures from potential disasters.”

    New Findings from Chang’an University in Machine Learning Provides New Insights (Trustworthy Machine Learning-enhanced 3d Concrete Printing: Predicting Bond Str ength and Designing Reinforcement Embedment Length)

    136-137页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Machine Learning are discussed in a new report. According tonews reporting originating in Xi’an, People’s Republic of China, by NewsRx journalists, research stated,“Three-dime nsional concrete printing (3DCP) faces challenges in determining and ensuring ad equatebond strength between reinforcement and printed concrete. Traditional met hods for predicting bondperformance are merely deterministic without considerin g potential uncertainty, which would lead to risksfor structural safety.”

    Studies Conducted at University Mohammed VI Polytechnic on Machine Learning Rece ntly Reported (Data Refinement for Enhanced Ionic Conductivity Prediction In Gar net-type Solid-state Electrolytes)

    137-138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 originatingfrom Benguerir, Morocco, by NewsRx correspondents, research stated, “The demand for advanced energystorage drives an urgency to accelerate material discovery in solid-state electrolytes. In pur suit of thisaim, this study presents an innovative methodology that integrates materials science insights with machinelearning techniques to improve the ionic conductivity prediction in garnet-based solid electrolytes.”

    Universitat Autonoma de Barcelona Reports Findings in COVID-19 (Predictive risk models for COVID-19 patients using the multithresholding meta-algorithm)

    138-139页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on Coronavirus - COVID-19 is the sub ject of a report. According to news originatingfrom Barcelona, Spain, by NewsRx correspondents, research stated, “This study aims to develop a MachineLearning model to assess the risks faced by COVID-19 patients in a hospital setting, foc using specificallyon predicting the complications leading to Intensive Care Uni t (ICU) admission or mortality, which areminority classes compared to the major ity class of discharged patients. We operate within a multiclassframework compr ising three distinct classes, and address the challenge of dataset imbalance, a commonsource of model bias.”

    Reports from SRM Institute of Science and Technology Highlight Recent Findings I n Machine Learning (Unveiling the Unseen: Novel Strategies for Object Detection Beyond Known Distributions)

    139-140页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According to newsreporting from Tamil Nadu, India, by NewsRx journalists, research stated, “In contemporary machine learning,models o ften struggle with data distribution variations, severely impacting their out-of -distribution(OOD) generalization and detection capabilities. Current object de tection methods, relying on virtual outliersynthesis and class-conditional dens ity estimation, struggle to effectively distinguish OOD samples.”

    New Artificial Intelligence Research from University of Malaya Described (Foster ing Inclusive Green Growth in Chinese Cities: Investigating the Role of Artifici al Intelligence)

    140-140页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on artificial in telligence have been published. According to newsoriginating from Kuala Lumpur, Malaysia, by NewsRx correspondents, research stated, “In the new roundof globa l technological revolution and industrial transformation, artificial intelligenc e (AI) provides anopportunity to foster urban inclusive green growth (IGG).”

    Delft University of Technology Reports Findings in Machine Learning (In Situ mol ecular profiles of glomerular cells by integrated imaging mass spectrometry and multiplexed immunofluorescence microscopy)

    141-142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 Delft, Netherlands, by NewsRx correspondents, research stated, “Glomeruli filter bloodthrough the coo rdination of podocytes, mesangial cells, fenestrated endothelial cells, and the glomerularbasement membrane. Cellular changes, such as podocyte loss, are assoc iated with pathologies like diabetickidney disease.”

    New Robotics Findings from Tianjin University Discussed (A Tendon-driven Actuato r With Cantilever Initiated Variable Stiffness Used for Robotic Fingers)

    142-142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 Robotic s. According to news reporting originating inTianjin, People’s Republic of Chin a, by NewsRx journalists, research stated, “Variable stiffness actuators(VSAs) have emerged as a key actuation technology known for their bionic performance an d task adaptability.However, current VSAs often exhibit relatively large sizes, making them possible for use in roboticarms and legs but less convenient for i ntegrations into robotic hands.”

    Researcher at University of Santiago of Chile (USACH) Publishes New Study Findin gs on Artificial Intelligence (Fault Diagnosis in a Four-Arm Delta Robot Based o n Wavelet Scattering Networks and Artificial Intelligence Techniques)

    143-143页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New study results on artificial intell igence have been published. According to newsreporting originating from Santiag o, Chile, by NewsRx correspondents, research stated, “This paperpresents a comp rehensive fault diagnosis approach for a delta robot utilizing advanced feature extractionand classification techniques.”