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

    Investigators from Henan University Target Machine Learning (Predicting Wear Res istance of High-carbon Cr-v Alloy Steel Based On Machine Learning)

    47-48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 is now available. According to news reporting from Luoyang, People’s Republic of China , by NewsRx journalists, research stated, “The microstructure of Cr-V wear-resis tant alloy steel was characterized by its complexity, with the evaluation of its wear resistance exhibiting multidimensional, strongly coupled, and nonlinear at tributes. Contrary to the conventional research paradigm that relied on microstr ucture analysis and performance comparison, accurate prediction of wear resistan ce based on data-driven approaches was found to significantly expedite the resea rch and development process for materials.” Financial support for this research came from National Key R & D P ro-gram of China.
      原文链接:
    • NETL
    • NSTL

    Study Findings on Machine Learning Described by a Researcher at University of Ke ntucky (Predicting the Association of Metabolites with Both Pathway Categories a nd Individual Pathways)

    48-49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 artificial intelligenc e is the subject of a new report. According to news reporting out of Lexington, Kentucky, by NewsRx editors, research stated, “Metabolism is a network of chemic al reactions that sustain cellular life. Parts of this metabolic network are def ined as metabolic pathways containing specific biochemical reactions.” Financial supporters for this research include National Science Foundation; Nati onal Institutes of Health. Our news correspondents obtained a quote from the research from University of Ke ntucky: “Products and reactants of these reactions are called metabolites, which are associated with certain human-defined metabolic pathways. Metabolic knowled gebases, such as the Kyoto Encyclopedia of Gene and Genomes (KEGG) contain metab olites, reactions, and pathway annotations; however, such resources are incomple te due to current limits of metabolic knowledge. To fill in missing metabolite p athway annotations, past machine learning models showed some success at predicti ng the KEGG Level 2 pathway category involvement of metabolites based on their c hemical structure. Here, we present the first machine learning model to predict metabolite association to more granular KEGG Level 3 metabolic pathways. We used a feature and dataset engineering approach to generate over one million metabol ite-pathway entries in the dataset used to train a single binary classifier. Thi s approach produced a mean Matthews correlation coefficient (MCC) of 0.806 ± 0.0 17 SD across 100 cross-validation iterations.”
      原文链接:
    • NETL
    • NSTL

    New Findings from Washington University in the Area of Artificial Intelligence D escribed (Artificial Intelligence In Otology and Neurotology)

    49-50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 Artificial Intelligen ce have been presented. According to news reporting out of St. Louis, Missouri, by NewsRx editors, research stated, “AI has is being actively explored and lever aged cross multiple disciplines within Otology and Neurotology. It has demonstra ted the ability to improve currently used wearable hearing devices, and the pote ntial to revolutionize how these technologies work.” Financial support for this research came from Triological Society Research Caree r Development Award. Our news journalists obtained a quote from the research from Washington Universi ty, “It will likely be used as an adjunct to multiple hearing related measures ( eg, audiogram, ECochG, ABRs), similar to how current electrocardiograms are read with a computer- based diagnosis before it is seen by a human. AI will lead to crucial breakthroughs in predicting outcomes, recognition of risk factors or tre nds, development of new treatments or techniques, and improve how care is delive red.
      原文链接:
    • NETL
    • NSTL

    Findings from Hangzhou Dianzi University Update Understanding of Robotics (Robus t Neural Dynamics for Depth Maintenance Tracking Control of Robot Manipulators W ith Uncertainty and Perturbation)

    50-51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 Robotics have been published. According to news reporting originating from Hangzhou, People’s Republic of China, by NewsRx correspondents, research stated, “The existence of inner uncertainty and external perturbation usually becomes a hindrance for the effective timevariant control of robot manipulators. Both the robustness and c onvergence property are regarded as two significant issues to be addressed for p referred solutions to robot manipulators.” Financial supporters for this research include National Natural Science Foundati on of China (NSFC), Zhejiang Provincial Natural Science Foundation of China (Zhe jiang Provincial Outstanding Youth Science Foundation).
      原文链接:
    • NETL
    • NSTL

    First Affiliated Hospital of Anhui Medical University Reports Findings in Roboti cs (Robot-assisted repair of ureteral stricture)

    51-52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 originating from Anhui, People’s Republic of Ch ina, by NewsRx correspondents, research stated, “As robot-assisted laparoscopic techniques continue to advance, becoming increasingly complex and refined, there has been significant progress in the minimally invasive treatment of ureteral s trictures. This abstract aims to provide an overview and description of various surgical techniques that utilize robots for repairing ureteral strictures.” Our news journalists obtained a quote from the research from the First Affiliate d Hospital of Anhui Medical University, “We have summarized the progression of t hese surgical methods and highlighted the latest advancements in the procedures. When compared to open surgery, robot-assisted reconstruction techniques demonst rate superior functional outcomes, fewer postoperative complications, and a fast er recovery in the treatment of ureteral strictures. This abstract aims to provi de an overview and description of various surgical techniques utilizing robots t o repair ureteral strictures. Robotic ureteral stricture correction has emerged as a valuable therapeutic option, particularly when endoscopic procedures are no t feasible. Compared to traditional open surgery, robotic methods exhibit superi or therapeutic effectiveness, fewer postoperative complications, and accelerated recovery. Reconstructive procedures such as reimplantation, psoas hitch, Boari flap, ureter-to-ureter anastomosis, appendix graft, buccal mucosa graft (BMG), i leal transplantation, or kidney autotransplantation can be performed depending o n the extent and location of the stricture. Robotic surgical techniques also off er advantages, such as an expanded field of vision and the incorporation of supp lementary technologies such as FireflyTM, indocyanine green (ICG), and near-infr ared fluorescence (NIRF) imaging. However, further long-term, multicenter invest igations are necessary to validate the positive findings reported in existing ca se series.”
      原文链接:
    • NETL
    • NSTL

    Researchers from Tianjin University of Technology Report Findings in Machine Lea rning (Multi-scale Prediction of Remaining Useful Life of Lithium-ion Batteries Based On Variational Mode Decomposition and Integrated Machine Learning)

    52-53页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Fresh data on Machine Learning are presented in a new report. According to news reporting from Tianjin, People’s Republic of Chin a, by NewsRx journalists, research stated, “Accurate and reliable prediction of the remaining useful life (RUL) of lithium-ion batteries (LIB) is very important for the safety of power systems. To solve the nonlinear and time-varying proble ms of LIB aging trajectories, an RUL prediction method based on variational mode decomposition (VMD) and integrated machine learning is proposed.” Financial support for this research came from Fundamental Research Funds for the Central Universities.
      原文链接:
    • NETL
    • NSTL

    New Findings in Machine Learning Described from University of Montreal (Predicti ng the Shape of Corneas From Clinical Data With Machine Learning Models)

    53-54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 Ma chine Learning. According to news originating from Montreal, Canada, by NewsRx c orrespondents, research stated, “In ophthalmology, there is a need to explore th e relationships between clinical parameters of the cornea and the corneal shape. This study explores the paradigm of machine learning with nonlinear regression methods to verify whether corneal shapes can effectively be predicted from clini cal data only, in an attempt to better assess and visualize their effects on the corneal shape.” Financial supporters for this research include QVRN (Quebec Vision Research Netw ork), FRQNT (Fonds de recherche du Quebec Nature et Technologie), MUTAN (Univers ity Mission of Tunisia in North America).
      原文链接:
    • NETL
    • NSTL

    Hebei University Reports Findings in Support Vector Machines (Accurate determina tion of alcohol-based diesels using optimal chemical factors)

    54-55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 - Sup port Vector Machines is the subject of a report. According to news originating f rom Baoding, People’s Republic of China, by NewsRx correspondents, research stat ed, “Sustainable environmental policies and energy crises have led to a trend of blending different alcohols into diesel to partly replace the decreasing fossil fuels. To improve the rapidity and accuracy of determining alcohols exist in me thanol and ethanol diesel, optimal chemical factors (OCF) feature selection sche mes were presented based on different near infrared (NIR) characteristic absorpt ion bands generated by different chemical structure information utilizing suppor t vector machine (SVM).” Our news journalists obtained a quote from the research from Hebei University, “ Through comparative analysis with SVM based on entire spectra, Monte Carlo uninf ormative variable elimination (MC-UVE) spectra and competitive adaptive reweight ed sampling (CARS) spectra, the proposed OCF-SVM not only achieved 100 % accuracy, precision, recall and F-score in classification, but also exhibited th e best performance in prediction analysis with the smallest sum of squares due t o error (SSE), root mean squared error (RMSE), mean absolute percentage error (M APE) and the highest R-square. The overall outcomes indicate that the OCF method based on molecular chemical structures can select more pertinent and interpreta ble spectral features, thereby making the classification and prediction of alcoh ol-based diesels more exact and credible.”
      原文链接:
    • NETL
    • NSTL

    Research from Massey University Yields New Study Findings on Machine Learning [The Use of Triaxial Accelerometers and Machine Learning Algorithms for Behaviour al Identification in Domestic Dogs (* * Canis familiaris* * ): A Validation Stud y]

    55-56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 artificial intelligence. According to news reporting out of Palmerston, New Zealand, by New sRx editors, research stated, “Assessing the behaviour and physical attributes o f domesticated dogs is critical for predicting the suitability of animals for co mpanionship or specific roles such as hunting, military or service.” Funders for this research include Healthy Pets New Zealand; Centre For Canine Nu trition, Massey University. The news correspondents obtained a quote from the research from Massey Universit y: “Common methods of behavioural assessment can be time consuming, labour-inten sive, and subject to bias, making large-scale and rapid implementation challengi ng. Objective, practical and time effective behaviour measures may be facilitate d by remote and automated devices such as accelerometers. This study, therefore, aimed to validate the ActiGraph® accelerometer as a tool for behavioural classification. This study used a machi ne learning method that identified nine dog behaviours with an overall accuracy of 74% (range for each behaviour was 54 to 93%). In a ddition, overall body dynamic acceleration was found to be correlated with the a mount of time spent exhibiting active behaviours (barking, locomotion, scratchin g, sniffing, and standing; R2 = 0.91, * * p* * <0.001).”
      原文链接:
    • NETL
    • NSTL

    China Agricultural University Researcher Yields New Study Findings on Food Resea rch (Intelligent Evaluation and Dynamic Prediction of Oyster Freshness with Elec tronic Nose Based on the Distribution of Volatile Compounds Using GC-MS Analysis )

    56-57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 food re search. According to news reporting originating from Beijing, People’s Republic of China, by NewsRx correspondents, research stated, “The quality of oysters is reflected by volatile organic components. To rapidly assess the freshness level of oysters and elucidate the changes in flavor substances during storage, the vo latile compounds of oysters stored at 4, 12, 20, and 28 °C over varying duration s were analyzed using GC-MS and an electronic nose.” Financial supporters for this research include Research on Multi-scale Flexible Sensing And Reliable Traceability Technology in Cold Chain Process of Prefabrica ted Vegetables; 2022 Yantai Urban Parities Coordinated With University Developme nt Project.
      原文链接:
    • NETL
    • NSTL