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    New Machine Learning Findings from University of Technology Discussed (Compariso n of Conventional and Machine Learning Methods for Bias Correcting Cmip6 Rainfal l and Temperature In Nigeria)

    74-75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 Machine Learn ing have been published. According to news reporting from Johor Baharu, Malaysia, by NewsRx journalists, research stated, “This research assesses the efficacy o f thirteen bias correction methods, including traditional and machine learning-b ased approaches, in downscaling four chosen GCMs of Coupled Model Intercompariso n Project 6 (CMIP6) in Nigeria. The 0.5 degrees resolution gridded rainfall, max imum temperature (Tmx), and minimum temperature (Tmn) of the Climate Research Un it (CRU) for the period 1975 - 2014 was used as the reference.”

    Reports Outline Artificial Intelligence Study Findings from Chinese Academy of S ciences (Optimal Target-oriented Knowledge Transportation for Aspect-based Multi modal Sentiment Analysis)

    77-77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 Machine Learning - Artificial Intelligence. According to news reporting from Beiji ng, People's Republic of China, by NewsRx journalists, research stated, “Aspect- based multimodal sentiment analysis under social media scenario aims to identify the sentiment polarities of each aspect term, which are mentioned in a piece of multimodal user-generated content. Previous approaches for this interdisciplina ry multimodal task mainly rely on coarse-grained fusion mechanisms from the data -level or decision-level, which have the following three shortcomings:(1) ignori ng the category knowledge of the sentiment target (mentioned in the text) in vis ual information. (2) unable to assess the importance of maintaining target inter action during the unimodal encoding process, which results in indiscriminative r epresentations considering various aspect terms. (3) suffering from the semantic gap between multiple modalities.”

    Data on Femoral Neck Fracture Reported by Yan Wang and Colleagues (Comparison of rehabilitation outcomes between robotassisted and freehand screw placement in treatment of femoral neck fractures: a systematic review and meta-analysis)

    78-79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 Femoral Neck Fracture is the subject of a report. According to news reporting originating from Tianjin, People's Republic of China, by NewsRx correspondents, research stated, “To com pare the postoperative rehabilitation of femoral neck fractures treated with rob ot-assisted nailing and freehand nailing. We systematically searched the PubMed, EMBASE, Cochrane, China National Knowledge Infrastructure(CNKI), WanFang databa se, China Science and Technology Journal Database (VIP) and Web of Science datab ases to identify potentially eligible articles.”

    Researcher at Derzhavin Tambov State University Releases New Data on Artificial Intelligence (Ethics and AI-Plagiarism in an Academic Environment: Students' Und erstanding of Compliance with Author's Ethics and the Problem of Plagiarism in the ...)

    79-80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 originating from Derzhavin Tambov State Univ ersity by NewsRx correspondents, research stated, “Everyday, artificial intellig ence (AI) is being increasingly integrated into the teaching and learning proces s at Russian universities. The high level of quality of feedback from AI tools l eads to the spread of AI plagiarism - unauthorized borrowing of generative AI ma terials - among students.”

    Reports Outline Machine Learning Study Findings from George Mason University (De fense Against On-chip Trojans Enabling Traffic Analysis Attacks Based On Machine Learning and Data Augmentation)

    80-81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 Machine Learning. According to news originating from Fairfax, Virginia, by NewsRx corre spondents, research stated, “Modern computing systems involve huge data exchange across various sections of the processing system. To facilitate this, network-o n-chip (NoC) serves as a crucial infrastructure that connects the processing cor es to memory, peripherals, etc.” Financial support for this research came from NSF - Office of the Director (OD).

    New Robotics Study Results Reported from North China Electric Power University ( A Low-cost Pipeline Surface 3d Detection Method Used On Robots)

    81-82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 Robotics are disc ussed in a new report. According to news reporting from Beijing, People's Republ ic of China, by NewsRx journalists, research stated, “This paper presents a low- cost pipeline surface 3D detection method based on line structured light. The me thod adds 3D detection to the robot at a meager cost and change.”

    Technical University Munich (TU Munich) Reports Findings in Robotics (Landing an d take-off capabilities of bioinspiredaerial vehicles: a review)

    83-83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 Robotics is the subjec t of a report. According to news reporting originating from Ottobrunn, Germany, by NewsRx correspondents, research stated, “Bioinspired Flapping- Wing Micro Aeri al Vehicles (FWMAVs) have emerged over the last two decades as a promising new t ype of robot. Their high thrustto- weight ratio, versatility, safety, and maneuv erability, especially at small scales, could make them more suitable than fixed- wing and multi-rotor vehicles for various applications, especially in cluttered, confined environments and in close proximity to humans, flora, and fauna.”

    Leiden University Medical Center Reports Findings in Arthroplasty (Machine Learn ing Did Not Outperform Conventional Competing Risk Modeling to Predict Revision Arthroplasty)

    87-88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 Surgery - Arthroplasty is the subject of a report. According to news reporting originating from Leiden, Netherlands, by NewsRx correspondents, research stated, “Estimating the risk o f revision after arthroplasty could inform patient and surgeon decision-making. However, there is a lack of well-performing prediction models assisting in this task, which may be due to current conventional modeling approaches such as tradi tional survivorship estimators (such as Kaplan-Meier) or competing risk estimators.”

    Findings on Machine Learning Reported by Investigators at University Hospital of Leipzig [Classification of Anatomic Patterns of Peripheral A rtery Disease With Automated Machine Learning (Automl)]

    88-89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 Machine Learning is the subject of a report. According to news reporting from Leipzig, Germany, by New sRx journalists, research stated, “The aim of this study was to investigate the potential of novel automated machine learning (AutoML) in vascular medicine by d eveloping a discriminative artificial intelligence (AI) model for the classifica tion of anatomical patterns of peripheral artery disease (PAD).Material and meth ods Random open-source angiograms of lower limbs were collected using a web-inde xed search. An experienced researcher in vascular medicine labelled the angiogra ms according to the most applicable grade of femoropopliteal disease in the Glob al Limb Anatomic Staging System (GLASS).”

    Investigators at Sun Yat-sen University Detail Findings in Robotics (Image-based Composite Learning Robot Visual Servoing With an Uncalibrated Eye-to-hand Camera)

    92-93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 originating in Shenzhen, People's Republic of China, by NewsRx journalists, research stated, “Adaptive visual servoing base d on a depth-independent interaction matrix is effective for uncalibrated robot visual servoing when both the intrinsic and extrinsic parameters of a camera are unknown. But current results on this topic omit the analysis of parameter conve rgence that is beneficial to improving the overall performance and robustness of robot control systems.”