首页期刊导航|Robotics & Machine Learning Daily News
期刊信息/Journal information
Robotics & Machine Learning Daily News
NewsRx
Robotics & Machine Learning Daily News

NewsRx

Robotics & Machine Learning Daily News/Journal Robotics & Machine Learning Daily News
正式出版
收录年代

    University Hospital Zurich Reports Findings in Liver Surgery (Experts vs. machin e - comparison of machine learning to expertinformed prediction of outcome afte r major liver surgery)

    64-65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 - Liver Surger y is the subject of a report. According to news reporting originating in Zurich, Switzerland, by NewsRx journalists, research stated, “Machine learning (ML) has been successfully implemented for classification tasks (e.g., cancer diagnosis) . ML performance for more challenging predictions is largely unexplored.”

    Reports on Computational Intelligence Findings from Anhui University Provide New Insights (An Evolutionary Multitasking Method for High-dimensional Receiver Ope rating Characteristic Convex Hull Maximization)

    65-66页
    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 Machine Learning - Comp utational Intelligence is now available. According to news reporting originating from Hefei, People’s Republic of China, by NewsRx correspondents, research stat ed, “Maximizing receiver operating characteristic convex hull (ROCCH) is a hot r esearch topic of binary classification, since it can obtain good classifiers und er either balanced or imbalanced situation. Recently, evolutionary algorithms (E As) especially multi-objective evolutionary algorithms (MOEAs) have shown their competitiveness in addressing the problem of ROCCH maximization.”

    Studies from Sichuan University Yield New Data on Machine Learning (Using Simula ted Microhaplotype Genotyping Data To Evaluate the Value of Machine Learning Alg orithms for Inferring Dna Mixture Contributor Numbers)

    66-67页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators discuss new findings in Machine Lea rning. According to news reporting from Chengdu, People’s Republic of China, by NewsRx journalists, research stated, “Inferring the number of contributors (NoC) is a crucial step in interpreting DNA mixtures, as it directly affects the accu racy of the likelihood ratio calculation and the assessment of evidence strength . However, obtaining the correct NoC in complex DNA mixtures remains challenging due to the high degree of allele sharing and dropout.”

    Report Summarizes Artificial Intelligence Study Findings from University of Akro n (Tail Connectedness Between Artificial Intelligence Tokens, Artificial Intelli gence Etfs, and Traditional Asset Classes)

    67-68页
    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 originating from Akron, Ohio, by NewsRx cor respondents, research stated, “We examine extreme connectedness between the arti ficial intelligence (AI) tokens, artificial intelligence ETFs, and other asset c lasses, using the quantile VAR approach of Ando et al., (2022). We find moderate connectedness levels at mean and median quantiles, with AI ETFs (AI tokens) act ing as strong (weak) net emitters (receivers) of return spillovers.”

    Investigators from University of Parma Release New Data on Robotics (Collision-f ree and Smooth Motion Planning of Dual-arm Cartesian Robot Based On B-spline Rep resentation)

    68-69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 reporting out of Parma, Italy, by NewsRx edito rs, research stated, “This paper discusses a new approach to motion planning of dual-arm gantry kinematic that solves the self-collision problem while ensuring G(2)-continuity and low curvatures. Starting from collision-free start and targe t points, the proposed method defines the geometric path of the end-effectors wi th classical five-segment planar trajectories, described by fifth-degree B-splin es.”

    New Robotics Study Findings Recently Were Reported by Researchers at Chinese Aca demy of Sciences (Discrete Vortex Method-based Fish-like Locomotion Modeling)

    69-70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 originating from Beijing, People’s Republic of China, by NewsRx correspondents, research stated, “In nature, fish can achieve efficie nt swimming through vortex control, which is also a crucial factor in the propul sion of biomimetic robotic fish. Existing analytical models of robotic fish gene rally do not consider vortices.” Financial support for this research came from National Natural Science Foundatio n of China (NSFC).

    Henan University of Technology Researchers Detail Findings in Robotics (Motion i ntention recognition of the affected hand based on the sEMG and improved DenseNe t network)

    70-71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 ro botics. According to news reporting out of Zhengzhou, People’s Republic of China , by NewsRx editors, research stated, “The key to sEMG (surface electromyography )-based control of robotic hands is the utilization of sEMG signals from the aff ected hand of amputees to infer their motion intentions. With the advancements i n deep learning, researchers have successfully developed viable solutions for CN N (Convolutional Neural Network)-based gesture recognition.”

    University of Palermo Reports Findings in Artificial Intelligence (Shallow and d eep learning classifiers in medical image analysis)

    71-72页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on Artificial Intelligence is the su bject of a report. According to news reporting out of Palermo, Italy, by NewsRx editors, research stated, “An increasingly strong connection between artificial intelligence and medicine has enabled the development of predictive models capab le of supporting physicians’ decision-making. Artificial intelligence encompasse s much more than machine learning, which nevertheless is its most cited and used sub-branch in the last decade.”

    Report Summarizes Computational Intelligence Study Findings from Kunming Univers ity (An Emerging Incremental Fuzzy Conceptcognitive Learning Model Based On Gra nular Computing and Conceptual Knowledge Clustering)

    72-73页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Data detailed on Machine Learning - Computational Intelligence have been presented. According to news reporting out of Kunming, P eople’s Republic of China, by NewsRx editors, research stated, “Fuzzy granular c oncepts are fundamental units in developing computational intelligence approache s based on fuzzy concept-cognitive learning. However, existing models in this fi eld merely focus on the information provided by fuzzy granular concepts induced by objects, ignoring that of those induced by attributes.”

    Jinan University Reports Findings in Machine Learning (Machine Learning-Assisted Discovery of Propane-Selective Metal-Organic Frameworks)

    73-73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 th e subject of a report. According to news reporting out of Guangzhou, People’s Re public of China, by NewsRx editors, research stated, “Machine learning is gainin g momentum in the prediction and discovery of materials for specific application s. Given the abundance of metal-organic frameworks (MOFs), computational screeni ng of the existing MOFs for propane/propylene (CH/CH) separation could be equall y important for developing new MOFs.”