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    Norfolk and Norwich University Hospital NHS Trust Reports Findings in Robotics ( Perceptions of theatre team members to robotic assisted surgery and the aid of t echnology in colorectal surgery)

    40-40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 in Norwich, United Kingdo m, by NewsRx journalists, research stated, “The implementation of robotic assist ed surgery (RAS) has brought in a change to the perception and roles of theatre staff, as well as the dynamics of the operative environment and team. This study aims to identify and describe current perceptions of theatre staff in the conte xt of RAS. 12 semi-structured interviews were conducted in a tertiary level univ ersity hospital, where RAS is utilised in selected elective settings.”

    New Pattern Recognition and Artificial Intelligence Findings from Xinjiang Unive rsity Discussed (Conhyperkge: Using Contrastive Learning In Hyperbolic Space for Knowledge Graph Embedding)

    41-41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 Machine Learning - Pattern Recognition and Artificial Intelligence are discussed in a new report. According to news reporting out of Urumqi, People’s Republic of China, by NewsR x editors, research stated, “The embedding of Knowledge Graphs (KGs) in hyperbol ic space has recently received great attention in the field of deep learning bec ause it can provide more accurate and concise representations of hierarchical st ructures compared to Euclidean spaces and complex spaces. Although hyperbolic sp ace embeddings have shown significant improvements over Euclidean spaces and com plex space embeddings in handling the task of KG embedding, they still face chal lenges related to the uneven distribution and insufficient alignment of high-dim ensional sparse data.”

    Report Summarizes Machine Learning Study Findings from Wuhan Textile University (Enhancing Yarn Quality Wavelength Spectrogram Analysis: A Semi-Supervised Anoma ly Detection Approach with Convolutional Autoencoder)

    42-42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 artificial intelligence. According to news reporting originating from Wuhan, Peo ple’s Republic of China, by NewsRx correspondents, research stated, “Abnormal de tection plays a pivotal role in the routine maintenance of industrial equipment. ” Our news reporters obtained a quote from the research from Wuhan Textile Univers ity: “Malfunctions or breakdowns in the drafting components of spinning equipmen t can lead to yarn defects, thereby compromising the overall quality of the prod uction line. Fault diagnosis of spinning equipment entails the examination of co mponent defects through Wavelet Spectrogram Analysis (WSA). Conventional detecti on techniques heavily rely on manual experience and lack generality. To address this limitation, this current study leverages machine learning technology to for mulate a semi-supervised anomaly detection approach employing a convolutional au toencoder. This method trains deep neural networks with normal data and employs the reconstruction mode of a convolutional autoencoder in conjunction with Kerne l Density Estimation (KDE) to determine the optimal threshold for anomaly detect ion. This facilitates the differentiation between normal and abnormal operationa l modes without the necessity for extensive labeled fault data.”

    Studies from Field Museum of Natural History Further Understanding of Machine Le arning [Morphological Species Delimitation In the Western Pon d Turtle (Actinemys): Can Machine Learning Methods Aid In Cryptic Species Identi fication?]

    43-43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 originating from Chicago, Illinois, by NewsR x correspondents, research stated, “As the discovery of cryptic species has incr eased in frequency, there has been an interest in whether geometric morphometric data can detect fine-scale patterns of variation that can be used to morphologi cally diagnose such species. We used a combination of geometric morphometric dat a and an ensemble of five supervised machine learning methods (MLMs) to investig ate whether plastron shape can differentiate two putative cryptic turtle species , Actinemys marmorata and Actinemys pallida.”

    Northeastern University Researcher Details Research in Machine Learning (Shapes and frictions of synthetic data)

    44-44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 ar tificial intelligence. According to news reporting from Boston, Massachusetts, b y NewsRx journalists, research stated, “Synthetic data are computergenerated da ta that mimic and substitute empirical observations without directly correspondi ng to realworld phenomena.”

    University of Electronic Science and Technology of China Reports Findings in Pro statectomy (Comparison of perioperative and functional outcomes of single-incisi on versus standard multi-incision robot-assisted laparoscopic radical prostatect omy: ...)

    45-46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 - Prostatectom y is the subject of a report. According to news reporting out of Chengdu, People ’s Republic of China, by NewsRx editors, research stated, “To compare perioperat ive and functional outcomes between improved (port-free) single-site robot-assis ted laparoscopic radical prostatectomy (pf-ssRARP) and standard multi-port robot -assisted radical prostatectomy (MPRARP). A total of 372 consecutive patients un derwent RARAP using the da Vinci Si robotic surgical system.”

    Data on Liver Cancer Reported by Xinyue Yan and Colleagues (Machine learning and multi-omics data reveal driver gene-based molecular subtypes in hepatocellular carcinoma for precision treatment)

    46-47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 - Liver Cance r is the subject of a report. According to news reporting originating from Beiji ng, People’s Republic of China, by NewsRx correspondents, research stated, “The heterogeneity of Hepatocellular Carcinoma (HCC) poses a barrier to effective tre atment. Stratifying highly heterogeneous HCC into molecular subtypes with simila r features is crucial for personalized antitumor therapies.”

    Study Findings from Indian Institute of Technology (IIT) Kharagpur Provide New I nsights into Robotics (Real-time Deep Learningbased Image Processing for Pose E stimation and Object Localization In Autonomous Robot Applications)

    47-47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 West Bengal, India, by NewsRx correspondents, research stated, “Artificial intelligence (AI) is shaping manufa cturing to make it smarter, intelligent, and autonomous. Presently, flexible rob ots have been introduced that collaborate with humans on the shop floor to enhan ce productivity and efficiency.”

    Autonomous University of Santo Domingo (UASD) Reports Findings in Personalized M edicine (The role of various physiological and bioelectrical parameters for esti mating the weight status in infants and juveniles cohort from the Southern Cuba ...)

    48-48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 Drugs and Therapies - Personalized Medicine is the subject of a report. According to news reporting or iginating in Santo Domingo, Dominican Republic, by NewsRx journalists, research stated, “The search for other indicators to assess the weight status of individu als is important as it may provide more accurate information and assist in perso nalized medicine.This work is aimed to develop a machine learning predictions of weigh status derived from bioimpedance measurements and other physical paramete rs of healthy infant juvenile cohort from the Southern Cuba Region, Santiago de Cuba. The volunteers were selected between 2002 and 2008, ranging in age between 2 and 18 years old.”

    Kyrgyz-Turkish Manas University Reports Findings in Machine Learning (Metrisor: A novel diagnostic method for metritis detection in cattle based on machine lear ning and sensors)

    49-49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 Machine Learning is th e subject of a report. According to news reporting originating in Bishkek, Kyrgy zstan, by NewsRx journalists, research stated, “The Metrisor device has been dev eloped using gas sensors for rapid, highly accurate and effective diagnosis of m etritis. 513 cattle uteri were collected from abattoirs and swabs were taken for microbiological testing. The Metrisor device was used to measure intrauterine g ases.”