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    Reports from Robert Gordon University Add New Data to Findings in Machine Learni ng (Towards the Automation of Systematic Reviews Using Natural Language Processi ng, Machine Learning, and Deep Learning: a Comprehensive Review)

    30-30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 reporting outof Aberdeen, United Kingdom, by NewsRx editors, research stated, “Systematic reviews (SRs) constitutea critical foundation for evidence-based decision-making and policy formulation across var ious disciplines,particularly in healthcare and beyond. However, the inherently rigorous and structured nature of the SRprocess renders it laborious for human reviewers.”

    Dongseo University Researcher Adds New Findings in the Area of Machine Learning (An Oversampling Technique with Descriptive Statistics)

    31-31页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on artificial intelligence is now available. According to news reporting outof Dongseo University by News Rx editors, research stated, “Oversampling is often applied as a means towin a better knowledge model.”The news reporters obtained a quote from the research from Dongseo University: “ Several oversamplingmethods based on synthetic instances have been suggested, a nd SMOTE is one of the representativeoversampling methods that can generate syn thetic instances of a minor class. Until now, the oversampleddata has been used conventionally to train machine learning models without statistical analysis, s o itis not certain that the machine learning models will be fine for unseen cas es in the future. However,because such synthetic data is different from the ori ginal data, we may wonder how much it resemblesthe original data so that the ov ersampled data is worth using to train machine learning models. For thispurpose , I conducted this study on a representative dataset called wine data in the UCI machine learningrepository, which is one of the datasets that has been experim ented with by many researchers in researchfor knowledge discovery models. I gen erated synthetic data iteratively using SMOTE, and I comparedthe synthetic data with the original data of wine to see if it was statistically reliable using a box plotand t-test. Moreover, since training a machine learning model by supply ing more high-quality traininginstances increases the probability of obtaining a machine learning model with higher accuracy, it was alsochecked whether a bet ter machine learning model of random forests can be obtained by generating muchmore synthetic data than the original data and using it for training the random forests.”

    Investigators from European Commission Zero in on Robotics (Unravelling the Last -mile Conundrum: a Comparative Study of Autonomous Delivery Robots, Delivery Bic ycles, and Light Commercial Vehicles In 14 Varied European Landscapes)

    32-32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 Robotics have been published. According to news originatingfrom Ispra, Italy, by NewsRx corr espondents, research stated, “In this study, the growing need for efficientdeli very services in the expanding e-commerce sector is addressed, with a focus on r eal-life consumptiondata. A comprehensive modelling framework is proposed to ev aluate the efficiency of various transportationmodes, including Light Commercia l Vehicles (LCVs), cargo bicycles, and Autonomous Delivery Robots(ADRs).”

    Findings from Madan Mohan Malaviya University of Technology Broaden Understandin g of Machine Learning (Evaluating the Impact of Eccentric Loading On Strip Footi ng Above Horseshoe Tunnels In Rock Mass Using Adaptive Finite Element Limit Anal ysis ...)

    33-33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 newsreporting originating in Uttar Pradesh, India, by NewsRx journalists, research stated, “The present studyinvestigates the ultimate bearing capacity (UBC) of a footing subjected to an eccentric load situated abovean unlined horseshoe-shaped tunnel in the rock mass, following th e Generalized Hoek-Brown (GHB) failurecriterion. A reduction factor (R-f) is in troduced to investigate the impact of the tunnel on the UBC ofthe footing.”

    Central College Researcher Has Provided New Study Findings on Artificial Intelli gence (Embrace or resist? Drivers of artificial intelligence writing software ad option in academic and non-academic contexts)

    34-34页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on artificial intelligence are presented in a new report. According tonews reporting from Pella, Iowa, by NewsRx journalists, research stated, “This research investigates theperspective s of using artificial intelligence writing software (AIWS) in professional conte xts, focusing onacademic and non-academic writers. These two groups, while stan ding to gain increased productivitythrough the adoption of AIWS, also express c oncerns regarding the widespread implementation of thistechnology.”

    Johns Hopkins University Researchers Detail New Studies and Findings in the Area of Machine Learning (Machine learning-guided accelerated discovery of structure -property correlations in lean magnesium alloys for biomedical applications)

    35-35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 ar tificial intelligence. According to news reportingoriginating from Johns Hopkin s University by NewsRx correspondents, research stated, “Magnesiumalloys are em erging as promising alternatives to traditional orthopedic implant materials tha nks to theirbiodegradability, biocompatibility, and impressive mechanical chara cteristics.”

    University of Bologna Researchers Provide Details of New Studies and Findings in the Area of Machine Learning (Findings on Machine Learning for Identification of Archaeological Ceramics: A Systematic Literature Review)

    36-37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 tonews originating from Bologna, It aly, by NewsRx correspondents, research stated, “The identification of archaeolo gical ceramics is a relevant topic in the field of cultural heritage, and the hi story of archaeologicalceramics can be traced back to prehistoric times.”

    Studies from Technical University Munich (TU Munich) Describe New Findings in Ro botics (Force Push: Robust Single-point Pushing With Force Feedback)

    36-36页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on Robotics have been pr esented. According to news reporting fromMunich, Germany, by NewsRx journalists , research stated, “We present a controller for quasistatic roboticplanar pushi ng with single-point contact using only force feedback to sense the pushed objec t. Weconsider an omnidirectional mobile robot pushing an object (the ‘slider’) along a given path, where therobot is equipped with a force-torque sensor to me asure the force at the contact point with the slider.”Financial support for this research came from CGIAR.

    Studies from Shanghai Jiao Tong University Reveal New Findings on Robotics (Robo tic Measurement System Based On Cooperative Optical Profiler Integrating Fringe Projection With Photometric Stereo for Highly Reflective Workpiece)

    37-38页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in Robotics. According to news reporting originatingin Shanghai, People’s Republic of China, by NewsRx journalists, research stated, “Robotic measurementhas emer ged as a prominent method for the quality control of large-scale metal workpiece s. However, itfaces two significant challenges: optical measurement of homogene ous high-reflective metal surfaces andpoint cloud registration on local feature less surfaces.”

    Research Conducted at University of Nottingham Has Provided New Information abou t Machine Learning (A Machine Learning-driven Approach To Predicting Thermo-elas to-hydrodynamic Lubrication In Journal Bearings)

    38-39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 Machine Learning. According to news originatingfrom Nottingham, United Kingdom, by New sRx correspondents, research stated, “Traditional methodsof evaluating the perf ormance of journal bearings, for example thermal-elastichydrodynamic- lubrication theory, are limited to simplified conditions that often fail to accurately mod el realworld components.Numerical models that include additional phenomena such as cavitation and fully coupled effects likedeformation, temperature, pressure and viscosity can be more accurate but require a large amount ofcomputational overhead, making analysis slower and more costly.”