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 originating from London, United Kingdom, by NewsRx correspondents, research stated, "We highlight the work of a multi-university collaborative programme, PREMIERE (PREdictive Modelling with Q uantIfication of UncERtainty for MultiphasE Systems), which is at the intersecti on of multi-physics and machine learning, aiming to enhance predictive capabilit ies in complex multiphase flow systems across diverse length and time scales. Ou r contributions encompass a variety of approaches, including the Design of Exper iments for nanoparticle synthesis optimisation, Generalised Latent Assimilation models for drop coalescence prediction, Bayesian regularised artificial neural n etworks, eXtreme Gradient Boosting for microdroplet formation prediction, and a sub-sampling based adversarial neural network for predicting slug flow behaviour in twophase pipe flows."
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 from the Mayo Clinic Rocheste r by NewsRx journalists, research stated, "The use of machine learning tools in health care is rapidly expanding." Our news reporters obtained a quote from the research from Mayo Clinic Rochester : "However, the processes that support these tools in deployment, that is, machi ne learning operations, are still emerging. The purpose of this work was not only to provide a comprehensive synthesis of existing literature in the field but a lso to identify gaps and offer insights for adoption in clinical practice. A sco ping review was conducted using the MEDLINE, PubMed, Google Scholar, Embase, and Scopus databases. We used MeSH and non-MeSH search terms to identify pertinent articles, with the authors performing 2 screening phases and assigning relevance scores: 148 English language articles most salient to the review were eligible for inclusion; 98 offered the most unique information and these were supplemented by 50 additional sources, yielding 148 references. From the 148 references, we distilled 7 key topic areas, based on a synthesis of the available literature a nd how that aligned with practitioner needs. The 7 topic areas were machine lear ning model monitoring; automated retraining systems; ethics, equity, and bias; c linical workflow integration; infrastructure, human resources, and technology st ack; regulatory considerations; and financial considerations."
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 are disc ussed in a new report. According to news reporting out of Harbin, People's Repub lic of China, by NewsRx editors, research stated, "More and more underwater robo ts are deployed to investigate marine biodiversity autonomously, and tools are n eeded by underwater robots to discover and acknowledge marine life." Funders for this research include National Natural Science Foundation of China. The news reporters obtained a quote from the research from Harbin Engineering Un iversity: "This paper has proposed a convolutional neural network-based method f or intelligent fish detection and recognition with a dataset used for training a nd testing generated and augmented from an open-source Fish Database regarding 6 different types. Firstly, to improve image quality, a hybrid image enhancement algorithm is used to preprocess underwater images with a weighted fusion strateg y of multiple traditional methodologies and comparisons have been made to prove the effectiveness according to various indexes. Secondly, to increase detection and recognition accuracy, different attention modules are integrated into the YO LOv5m network structure and the convolutional block attention module(CBAM) has outperformed other modules in recall rate and mAP while maintaining the capabilit y of real-time processing. Lastly, to meet real-time requirements, lightweight a djustments have been made to CBAM-YOLOv5m with the GSConv module and C3Ghost mod ule and a nearly 25% reduction in network parameters and a 20% reduction in computational consumption are obtained. Besides, the lightweight ne twork has realized better accuracy than YOLOv5m."
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 reporting originating from Grand Rapids, Michigan, by NewsRx correspondents, research stated, "In this study, we develop and validate a new Parkinson's disease (PD) mouse model that can be use d to better understand how the disease progresses and to test the effects of new , potentially disease-modifying, PD therapies. Our central hypothesis is that mi tochondrial dysfunction intercalates with misfolded a-synuclein (a-syn) accumulation in a vicious cycle, leading to the loss of nigral neurons."
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-New study results on robotics have been published . According to news originating from Tamil Nadu, India, by NewsRx editors, the r esearch stated, "In this paper, a quick convergence adaptive structure is propos ed for trajectory tracking of an articulated type robotic manipulator using the Hardware in the Loop (HIL) simulation technique." The news editors obtained a quote from the research from Mepco Schlenk Engineeri ng College: "A novel Nonlinear Quick Convergence Adaptive Sliding Backstepping C ontrol (QCASBC) algorithm is implemented on a C2000 real-time controller board. The performance of the proposed control algorithm is inspected concerning the sl iding mode PID (SM-PID) control technique to estimate its correlation with the p roposed algorithm. The experimental part of the HIL simulation tests has been ca rried out on a simulated model of athree-link serial robot manipulator. A dynam ic model of the robotic manipulator has been developed using Matlab Simulink sof tware and its performance is analyzed using the HIL technique via a C2000 real-t ime controller for tracking the desired trajectory. Results show that the speed of convergence while tracking the desired trajectory of the manipulator is bette r in the proposed algorithm. It is also estimated that the positional error of t he QCASBC algorithm is superior to the SM-PID control algorithm."
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Surgery-Arthroplasty is the subject of a report. According to news reporting originating from Edmont on, Canada, by NewsRx correspondents, research stated, "The primary objective of this study was to determine the accuracy and precision of component positioning of the ROSA Robotic System for total knee arthroplasty (TKA). A Preferred Repor ting Items for Systematic Reviews and Meta-Analysis systematic review was conduc ted using 4 electronic databases (MEDLINE, EMBASE, Pubmed, and Cochrane Library) to identify all clinical and radiological studies reporting information about t he use and results of the ROSA system."
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 artificial intelligence is now available. According to news reporting from the Institut fur Physik der Atmosphare by NewsRx journalists, research stated, "Machine learning (ML)-based parameterizations have been developed for Earth System Models (ESMs) with the go al to better represent subgrid-scale processes or to accelerate computations. ML -based parameterizations within hybrid ESMs have successfully learned subgrid-sc ale processes from short high-resolution simulations." Financial supporters for this research include Horizon 2020 Framework Programme.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Machine Learning is th e subject of a report. According to news reporting from Bologna, Italy, by NewsR x journalists, research stated, "This research focuses on the essential task of defining rainfall thresholds in regions with complex geological features, specif ically at a regional scale. It examines a variety of methodologies, from traditi onal empirical-statistical methods to cutting-edge machine learning (ML) techniq ues, for establishing these thresholds." Funders for this research include Alma Mater Studiorum-Universit di Bologna, E uropean Union (EU), Fondazione Cassa di Risparmio in Bologna (Fondazione CARISBO ).
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 ro botics. According to news reporting from the University of Shanghai for Science and Technology by NewsRx journalists, research stated, "This work aims to addres s the issues of instability in trot gait walking and poor terrain adaptability i n rugged environments under conventional control strategies for quadruped robots by proposing a novel composite control strategy." Financial supporters for this research include Jiangsu Province General Program of China; National Key Research And Development Program of China. Our news reporters obtained a quote from the research from University of Shangha i for Science and Technology: "During the support phase, a separated force-posit ion mixing control method is employed, utilizing gravity-compensated PD (Proport ional Derivative) control at the lateral swing and knee joints while employing p osition control at the hip joint. During the swing phase, VMC (Virtual Model Con trol) is used to construct three sets of virtual spring-damper components, guidi ng the foot to move along a predetermined trajectory and converting virtual forc es into joint torques for the swinging leg. At the body, IMU (Inertial Measureme nt Unit) feedback data combined with PI (Proportional Integral) control is used to adjust leg length and maintain the robot's posture stability."
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Fresh data on artificial intelligence are presented in a new report. According to news originating from Wroclaw, Polan d, by NewsRx correspondents, research stated, "The classical objective methods o f assessing video quality used so far, apart from their advantages, such as low costs, also have disadvantages." The news reporters obtained a quote from the research from Wroclaw University of Science and Technology: "The need to eliminate these defects results in the sea rch for better and better solutions. This article proposes a video quality asses sment method based on machine learning using a linear regression model. A set of objective quality assessment metrics was used to train the model. The results o btained show that the prediction of video quality based on a machine learning mo del gives better results than the objective assessment based on individual metri cs. The proposed model showed a strong correlation with the subjective user asse ssments but also a good fit of the regression function to the empirical data. It is an extension and improvement of the efficiency of the classical methods of objective quality assessment that have been used so far."
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