查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Drugs and Therapies - Personalized Medicine is the subject of areport. According to news reporting ou t of Los Angeles, California, by NewsRx editors, research stated, “Recent years have witnessed tremendous advances in machine learning techniques for wearable s ensorsand bioelectronics, which play an essential role in real-time sensing dat a analysis to provide clinicalgradeinformation for personalized healthcare. To this end, supervised learning and unsupervised learningalgorithms have emerged as powerful tools, allowing for the detection of complex patterns and relationships in large, high-dimensional data sets.”
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 newsoriginating from Ekaterinburg, Russia, by NewsRx editors, the research stated, “ContextOne of the crucialissues relate d to machine learning potentials is the formation of representative dataset. For multicomponentsystems, it is a general methodology to scan the composition ran ge with a certain step.”
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 newsoriginating from Wuhan, People’s Republ ic of China, by NewsRx correspondents, research stated, “Dueto the diverse cont rolling factors and their uneven spatial distribution, especially atmospheric de positionfrom smelters, assessing and predicting the accumulation of heavy metal s (HM) in crops across smeltingaffectedareas becomes challenging. In this stud y, integrating HM influx from atmospheric deposition, aboosted regression tree model with an average R> 0.8 was obtained to predict acc umulation of Pb, As,and Cd in wheat grain across a smelting region.”
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 reporting out ofGuiyang, People’s Republic of Chin a, by NewsRx editors, research stated, “A heteronuclear dual transitionmetal at om catalyst is a promising strategy to solve and relieve the increasing energy a nd environmentcrisis. However, the role of each atom still does not efficiently differentiate due to the high activity but lowdetectability of each transition metal in the synergistic catalytic process when considering the influence ofhe teronuclear induced atomic difference for each transition metal atom, thus serio usly hindering intrinsicmechanism finding.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Cancer is the subject of a report. According to news reporting fromShanghai, People’s Republic of Chi na, by NewsRx journalists, research stated, “Nowadays, social mediaplays a cruc ial role in disseminating information about cancer prevention and treatment. A g rowing bodyof research has focused on assessing access and communication effect s of cancer information on socialmedia.”
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 from Jiangsu, Peo ple’s Republic of China, by NewsRx correspondents, researchstated, “In the fiel d of microplastics (MPs) toxicity prediction, machine learning (ML) computer simulation techniques are showing great potential. In this study, six ML algorithms were utilized to predict thetoxicity of MPs on BEAS-2B cells based on quantita tive structure-activity relationship (QSAR) models.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on artificial in telligence have been published. According to newsreporting from Bagnols sur Cez e, France, by NewsRx journalists, research stated, “A new image processingmachi ne learning algorithm for droplet detection in liquid-liquid systems is here int roduced.”Our news journalists obtained a quote from the research from University of Montp ellier: “The methodcombines three key numerical tools-YOLOv5 for object detecti on, Blender for synthetic image generation,and CycleGAN for image texturing-and was named ‘BYG-Drop for Blender-YOLO-CycleGAn’ droplet detection.BYG-Drop outp erforms traditional image processing techniques in both accuracy and number ofd roplets detected in digital test cases. When applied to experimental images, it remains consistent withestablished techniques such as laser diffraction while o utperforming other image processing techniques indroplet detection accuracy. Th e use of synthetic images for training also provides advantages such astraining on a large labeled dataset, which prevents false detections. CycleGAN’s texturi ng also allows quickadaptation to different fluid systems, increasing the versa tility of image processing in drop size distributionmeasurement.”
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 artific ial intelligence. According to news reportingout of Hafar Al Batin, Saudi Arabi a, by NewsRx editors, research stated, “The development of computertechnology h as revolutionized how people live and interact in society.”Our news editors obtained a quote from the research from University of Hafr Al B atin: “The Internetof Things (IoT) has enabled the development of the Internet of Medical Things (IoMT) to transformhealthcare delivery. Artificial intelligen ce has been used to improve the IoMT. Despite the significanceof bibliometric a nalysis in a research area, to the best of the authors’ knowledge, based on sear chesconducted in academic databases, no bibliometric analysis on artificial int elligence (AI) for the IoMT hasbeen conducted. To address this gap, this study proposes performing a comprehensive bibliometric analysisof AI applications in the IoMT. A bibliometric analysis of top literature sources, main disciplines, c ountries,prolific authors, trending topics, authorship, citations, author-keywo rds, and co-keywords was conducted.In addition, the structural development of A I in the IoMT highlights its growing popularity.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on artificial intelligen ce have been presented. According to newsoriginating from Belo Horizonte, Brazi l, by NewsRx editors, the research stated, “Occupational accidentsthat happen i n the world of work have attracted, over time, the concern of how to implement p reventivemeasures to avoid them.”Our news reporters obtained a quote from the research from FUMEC University: “Th e InternationalLabour Organization (ILO) estimates that 2 million people die wo rldwide each year from work-relatedcauses. In Brazil, in the year 2022, there w ere 1,828 accidents involving electricity resulting in 592 deaths.A solution to improve this process is the use of available technology, especially with the mo dernizationbrought about by the so-called 4th Industrial Revolution, or Industr y 4.0, This article aims to presenta bibliometric research, identifying the mai n publications, authors, universities, countries and keywordsthat address the a pplications of artificial intelligence in work safety, with a focus on accident prevention.Data were collected from the Web of Science database, using the keyw ords (“artificial intelligence”) AND(workplace OR “occupation health and safety ” OR “accident prevention”). Data interpretation was carriedout through perform ance analysis, based on WoS reports; and scientific mapping, using the VOSviewersoftware. 272 articles were found that were analyzed and composed the research. ”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Drugs and Therapies - Personalized Medicine is the subject of areport. According to news reporting ou t of Naples, Italy, by NewsRx editors, research stated, “HypertrophicCardiomyop athy (HCM) presents a complex diagnostic and prognostic challenge due to its heterogeneous phenotype and clinical course. Artificial Intelligence (AI) and Machi ne Learning (ML) techniqueshold promise in transforming the role of Electrocard iography (ECG) in HCM diagnosis, prognosis,and management.”
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