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    Lviv Polytechnic National University Researcher Highlights Recent Research in Ma chine Learning (Machine Learning Use Cases in the Frequency Symbolic Method of L inear Periodically Time-Variable Circuits Analysis)

    68-68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 artificial intell igence are discussed in a new report. According to news originating from Lviv, U kraine, by NewsRx correspondents, research stated, “This manuscript presents an analysis of machine learning (ML) usage in the Frequency Symbolic Method (FSM) t o enhance the diagnosis of faults in parametric circuit analysis and optimizatio n, with a particular focus on Linear Periodically Time-Variable (LPTV) systems.”

    Findings on Machine Learning Detailed by Investigators at Swiss Federal Institut e of Technology Lausanne (EPFL) (Generative Machine Learning Produces Kinetic Mo dels That Accurately Characterize Intracellular Metabolic States)

    69-69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 Machine Learning are pre sented in a new report. According to news reporting out of Lausanne, Switzerland , by NewsRx editors, research stated, “Generating large omics datasets has becom e routine for gaining insights into cellular processes, yet deciphering these da tasets to determine metabolic states remains challenging. Kinetic models can hel p integrate omics data by explicitly linking metabolite concentrations, metaboli c fluxes and enzyme levels.” Financial supporters for this research include Swiss National Science Foundation (SNSF), European Union (EU), Swedish Research Council, Ecole Polytechnique Fede rale de Lausanne (EPFL).

    Studies from Euro-Mediterranean Center on Climate Change Yield New Information a bout Machine Learning (Application of Machine Learning Models for Short-term Dro ught Analysis Based On Streamflow Drought Index)

    70-70页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in Machine Learning. According to news reporting originating in Venice, Italy, by N ewsRx journalists, research stated, “This study investigates the drought conditi on based on streamflow drought index (SDI) using various machine learning (ML) t echniques. The ML models include Multiple Linear Regression, Artificial Neural N etworks, K-Nearest Neighbors (KNN), and eXtreme Gradient Boosting Regressor (XGB R).”

    New Research on Robotics from Zhejiang University Summarized (Recent Progress in 3D Printing of Polymer Materials as Soft Actuators and Robots)

    71-72页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in robotics. According to news reporting out of Hangzhou, People’s Republic of Chin a, by NewsRx editors, research stated, “With inspiration from natural systems, v arious soft actuators and robots have been explored in recent years with versati le applications in biomedical and engineering fields.” Funders for this research include Shanxi-zheda Institute of Advanced Materials A nd Chemical Engineering; National Natural Science Foundation of China.

    Reports Outline Machine Learning Research from Kitami Institute of Technology (A re Strong Baselines Enough? False News Detection with Machine Learning)

    71-71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 originating from Kitami, Japan, by New sRx editors, the research stated, “False news refers to false, fake, or misleadi ng information presented as real news.” Our news reporters obtained a quote from the research from Kitami Institute of T echnology: “In recent years, there has been a noticeable increase in false news on the Internet. The goal of this paper was to study the automatic detection of such false news using machine learning and natural language processing technique s and to determine which techniques work the most effectively. This article firs t studies what constitutes false news and how it differs from other types of mis leading information. We also study the results achieved by other researchers on the same topic. After building a foundation to understand false news and the var ious ways of automatically detecting it, this article provides its own experimen ts. These experiments were carried out on four different datasets, one that was made just for this article, using 10 different machine learning methods.”

    Department of Nuclear Medicine Reports Findings in Thyroid Cancer (Observational cohort study on safety and efficacy of robotic thyroidectomy with super-meticul ous capsular dissection versus open surgery for thyroid cancer: Postoperative .. .)

    72-73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 Oncology - Thyroid Can cer is the subject of a report. According to news originating from Chongqing, Pe ople’s Republic of China, by NewsRx correspondents, research stated, “To assess the efficacy and safety of robotic thyroidectomy (RT) with super-meticulous caps ular dissection (SMCD) versus open thyroidectomy (OT) we used a dynamic risk ass essment system incorporating 131IWBS along with radioactive iodine (RAI) effica cy evaluation. Currently, the therapeutic efficacy of robotic surgery remains co ntroversial.”

    National University of Singapore Reports Findings in Parkinson’s Disease (Innova tive technology-based interventions in Parkinson’s disease: A systematic review and meta-analysis)

    73-74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 Neurodegenerative Dise ases and Conditions - Parkinson’s Disease is the subject of a report. According to news reporting originating from Singapore, Singapore, by NewsRx correspondent s, research stated, “Novel technology-based interventions have the potential to improve motor symptoms and gait in Parkinson’s disease (PD). Promising treatment s include virtual-reality (VR) training, robotic assistance, and biofeedback.”

    Studies from University of Deusto Describe New Findings in Androids (Adaptive Ro bot Behavior Based on Human Comfort Using Reinforcement Learning)

    75-75页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New study results on androids have bee n published. According to news originating from Bilbao, Spain, by NewsRx corresp ondents, research stated, “This study explores the potential of training robots using reinforcement learning (RL) to adapt their behavior based on human comfort levels during tasks.” Financial supporters for this research include Project Ai-driven Cognitive Robot ic Platform For Agile Production Environments Through European Union’s Horizon 2 020 Research And Innovation Programme; Project Edge Technologies For Industrial Distributed Ai Applications Through The Elkartek Programme From The Basque Gover nment.

    Queen Mary University of London Reports Findings in Machine Learning (Analyzing spatio-temporal dynamics of dissolved oxygen for the River Thames using supersta tistical methods and machine learning)

    75-76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 originating in London, United Kingdom, by NewsRx journalists, research stated, “By employing superstatistical methods and machine learning, we analyze time series data of water quality indi cators for the River Thames (UK). The indicators analyzed include dissolved oxyg en, temperature, electrical conductivity, pH, ammonium, turbidity, and rainfall, with a specific focus on the dynamics of dissolved oxygen.”

    Data on Intelligent Systems Detailed by Researchers at Zewail City of Science an d Technology (Accuracy Is Not Enough: a Heterogeneous Ensemble Model Versus Fgsm Attack)

    77-77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 - Intelligent Systems. According to news reporting from Giza, Egypt, b y NewsRx journalists, research stated, “In this paper, based on facial landmark approaches, the possible vulnerability of ensemble algorithms to the FGSM attack has been assessed using three commonly used models: convolutional neural networ k-based antialiasing (A_CNN), Xc_Deep2-based DeepLab v 2, and SqueezeNet (Squ_Net)-based Fire modules. Firstly, the three individual deep learning classifier-based Facial Emotion Recognition (FER) class ifications have been developed; the predictions from all three classifiers are t hen merged using majority voting to develop the HEM_Net-based ensem ble model.”