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    Findings from University of Alberta Update Knowledge of Machine Learning (A Cybe r-physical Production System for Autonomous Part Quality Control In Polymer Addi tive Manufacturing Material Extrusion Process)

    57-58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 Machine Learning. According to news reporting originating in Edmonton, Canada, b y NewsRx journalists, research stated, "This paper introduces a successful imple mentation of a Cyber-Physical Production System (CPPS) for large-format 3D print ing, employing the 5C framework and Internet of Things (IoT) technology. The CPP S focuses on achieving autonomous part quality control by monitoring three criti cal categories: the thermal behavior of the material during printing deposition, faulty detection of contour's parts being produced, and machine integrity based on component performance." Financial supporters for this research include CGIAR, CGIAR, Natural Sciences an d Engineering Research Council of Canada (NSERC), Alberta Innovates, AB Innovat ADVANCE.

    Reports from San Francisco State University Add New Data to Findings in Machine Learning (Effects of Nonequilibrium Atomic Structure On Ionic Diffusivity In Llz o: a Classical and Machine Learning Molecular Dynamics Study)

    58-59页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Research findings on Machine Learning are discuss ed in a new report. According to news originating from San Francisco, California , by NewsRx correspondents, research stated, "To improve the performance of elec trochemical devices, it is essential to understand the effects of nonequilibrium motifs in solids, such as grain boundaries, amorphous phases, and highly strain ed regions, on atomic-scale transport and stability. Molecular dynamics simulati ons are used to explore the combined effect of far-from-equilibrium atomic struc tures and the choice of interatomic potential on ionic diffusivity predictions f or Li7La3Zr2O12 (LLZO), a promising solid electrolyte for all-solid-state batter ies." Funders for this research include NSF - Directorate for Mathematical & Physical Sciences (MPS), United States Department of Energy (DOE), United States Department of Energy (DOE), Innovative and Novel Computational Impact on Theory and Experiment (INCITE) program via the Argonne Leadership Computing Facility, College of Engineering and Department of Mechanical Engineering at Boston Univer sity, National Science Foundation (NSF).

    Department of Radiology Reports Findings in Breast Cancer (The value of the mali gnant subregion-based texture analysis in predicting the Ki-67 status in breast cancer)

    59-60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 Oncology - Breast Canc er is the subject of a report. According to news originating from Changzhou, Peo ple's Republic of China, by NewsRx correspondents, research stated, "To evaluate the value of the malignant subregion-based texture analysis in predicting Ki-67 status in breast cancer. The dynamic contrast-enhanced magnetic resonance imagi ng data of 119 histopathologically confirmed breast cancer patients (81 patients with high Ki-67 expression status) from January 2018 to February 2023 in our ho spital were retrospectively collected."

    University of Banja Luka Researchers Illuminate Research in Robotics (Macros As A Programming Tool For Synchronization of Two Non-synchronizable Industrial Robo ts)

    60-61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 originating from Banja Luka, Bosnia and Herzegovi na, by NewsRx correspondents, research stated, "The main goal of this paper was to connect two controllers of the older generation into one robotic cell, then s oftware implements their synchronized work on servicing and welding certain obje cts." The news reporters obtained a quote from the research from University of Banja L uka: "Two controllers manufactured by Yaskawa Motoman were used with the associa ted manipulators. The hardware solution involved connecting the controllers via General I/O circuit board. The software solution involved parallel programming o f two robots for synchronized operation on a common task. During programming, it was necessary to create macro jobs that implemented repetitive actions, such as calling and waiting for robots, grabbing and releasing objects, as well as the actions of starting and stopping the program. The conclusion of presented resear ch is that the robotic cell, formed by two robots that are not intended for sync hronization, meets the requirements that until now could only be solved with rob ots of the newer generation."

    Recent Research from University of Cassino and Southern Lazio Highlight Findings in Robotics (Control Framework of the Robilaut Soil Sampling Robot: System Over view and Experimental Results)

    61-62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 Robotics are presented i n a new report. According to news originating from Cassino, Italy, by NewsRx cor respondents, research stated, "The paper presents the control architecture of a crawler mobile robot designed and developed to sample potentially contaminated l ands." Funders for this research include Italian Government, Ministero per loSviluppo E conomico, Fondo per la Crescita Sostenibile - Sportello "Fabbrica intelligente" PON IC 2014-2020, EU in NextGenerationEU plan through MUR. Our news journalists obtained a quote from the research from the University of C assino and Southern Lazio, "The robot, developed in the framework of an Italian national project named ROBILAUT, carries a driller with a customized sampling me chanism to implement on-site the required quartering, and it is controlled to mo ve the drilling device on specific points acquired in real time before the missi on starts. The paper describes the software architecture for the navigation and control, focusing on the control framework of the robotic platform."

    Data on Robotics Detailed by Researchers at Universitas Mercu Buana (The use of Fuzzy Logic Controller and Artificial Bee Colony for optimizing adaptive SVSF in robot localization algorithm)

    62-62页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Researchers detail new data in robotics. Accordin g to news reporting originating from the Universitas Mercu Buana by NewsRx corre spondents, research stated, "The objective of solving feature-based localization problems is to estimate the path of the robot referring to a given map." Our news correspondents obtained a quote from the research from Universitas Merc u Buana: "Thus, it is not surprising that robust estimators such as Smooth Varia ble Structure Filter (SVSF) are often used to handle this problem. Basically, it s use is highly dependent on an accurate system model and known statistical nois e. Where neither of these are available by definition. Therefore, the convention al way is not recommended and the use of an adaptive filter approach can be invo lved. Based on this and although only partially, Innovation Adaptive Estimation (IAE) has been considered to have a positive influence on improving the performa nce of the estimator. But not infrequently the solutions offered by this approac h also lead to divergences due to unmapped dynamic conditions."

    Southern Medical University Reports Findings in Myopia (Association Between Myop ia and Pupil Diameter in Preschoolers: Evidence from a Machine Learning Approach Based on a Real-World Large-Scale Dataset)

    62-63页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-New research on Eye Diseases and Conditions - Myo pia is the subject of a report. According to news reporting from Shenzhen, Peopl e's Republic of China, by NewsRx journalists, research stated, "Previous studies have explored the connections between various ocular biological parameters with myopia. Our previous study also found that pupil data can predict the myopic pr ogression during the interventions for myopia." The news correspondents obtained a quote from the research from Southern Medical University, "However, studies exploring the association between pupil diameter and myopia in preschoolers with myopia were lacking. Hence this study was aimed to investigate the association between pupil diameter and myopia in preschoolers with myopia based on a real-world, large-scale dataset. Data containing 650,671 preschoolers were collected from a total of 1943 kindergartens in Shenzhen, Chi na. Refraction and pupil parameters were collected. After data filtering, the oc currence of myopia and its association with age, gender, pupil diameter, and oth er variables, were analyzed. Random forest (RF) and eXtreme gradient boosting (X GBoost) were selected from seven machine learning algorithms to build the model. The mean decrease accuracy (MDA), mean decrease Gini (MDG), and gain feature im portance (GFI) techniques were employed to quantify the importance of pupil diam eter and other features. After the assessments, 51,325 valid records with comple te pupil data were included, and 3468 (6.76%) were identified as my opia based on the calculated cycloplegic refraction. Preschoolers with myopia pr esented reduced pupil diameter and greater variation (5.00 ± 0.99 mm) compared t o non-myopic preschoolers (6.22 ± 0.67 mm). A nonlinear relationship was found a ccording to the scatterplots between pupil diameter and refraction (R = 0.14). E specially preschoolers with myopia had reduced pupil diameter compared to emmetr opic preschoolers, but hyperope did not experience additional pupil enlargement. After adjusting for other covariates, this relationship is still consistent (P <0.001). XGBoost and RF algorithms presented the highest p erformance and validated the importance of pupil diameter in myopia. Based on a real-world large-scale dataset, the current study illuminated that preschoolers with myopia had a reduced pupil diameter compared to emmetropic preschoolers wit h a nonlinear pattern."

    Research on Artificial Intelligence Reported by a Researcher at Xidian Universit y (Applications of generative AI-based financial robot advisors as investment co nsultants)

    64-64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 out of Xi'an, People's Republic of China, by NewsRx editors, research stated, "As a new wave of technological and industrial revolution accelerates, the fusion of technological evolution and soc ietal development is reshaping industries, with digitalization emerging as a pot ent force in reshaping competitive landscapes." Our news editors obtained a quote from the research from Xidian University: "Art ificial Intelligence (AI) has progressively permeated various sectors, including finance, its application in finance holds the promise of enhancing efficiency a nd service quality for financial institutions Its application in finance holds t he promise of enhancing efficiency and service quality for financial institution s, thereby offering improved experiences for clients. Among these applications, Intelligent Robo-Advisors stand out as a particularly notable field."

    Study Findings on Machine Learning Are Outlined in Reports from University of Tw ente (3d-printed Soft Proprioceptive Graded Porous Actuators With Strain Estimat ion By System Identification)

    64-65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 Machine Learning are discussed in a new report. According to news reporting out of Enschede, Neth erlands, by NewsRx editors, research stated, "Integration of both actuation and proprioception into the robot body leads to a single integrated system that can deform and sense. Within this work, liquid rope coiling is used to 3D-print soft graded porous actuators." Financial support for this research came from The 4TU Dutch Soft Robotics progra m.

    Investigators from Hohai University Report New Data on Robotics (A Finger-inspir ed Pneumatic Network Actuator Based On Rigidflexible Coupling Structure for Sof t Robotic Grippers)

    65-66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 reporting from Changzhou, People's Republic of China, by NewsRx journalists, research stated, "Inspired by the morphology of human fi nger, this study proposed a pneumatic network actuator for soft robotics gripper with rigid-flexible coupling and stepped chamber structure to improve the grasp stability and strength under low air pressure. The actuator adopts a segmented structure and has two independent chambers that can be driven, respectively." Financial supporters for this research include Ministry of Education Joint Fund, Fundamental Research Funds for the Central Universities, National Natural Scien ce Foundation of China (NSFC).