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    New Machine Learning Findings from University of Colorado Boulder Outlined (Hami ltonian Learning Using Machine-learning Models Trained With Continuous Measureme nts)

    119-119页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in Machine Learning. According to news reportingout of Boulder, Colorado, by NewsR x editors, research stated, “We build upon recent work on the useof machine-lea rning models to estimate Hamiltonian parameters using continuous weak measuremen tof qubits as input. We consider two settings for the training of our model: (1 ) supervised learning,where the weak-measurement training record can be labeled with known Hamiltonian parameters, and (2)unsupervised learning, where no labe ls are available.”

    Research Results from University of Santiago de Compostela Update Knowledge of A rtificial Intelligence (Ethics and journalistic challenges in the age of artific ial intelligence: talking with professionals and experts)

    120-120页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on artificial intelligence is now available. According to news originatingfrom Santiago de Compostela, Sp ain, by NewsRx editors, the research stated, “The rapid advancement ofartificia l intelligence (AI) is transforming the media industry by automating processes, with applicationsin data analysis, automated writing, format transformation, co ntent personalization, and fact-checking.”

    Findings from Department of Medical Laboratory Provide New Insights into Bioinfo rmatics (Combining Bioinformatics and Machine Learning To Identify Diagnostic Bi omarkers of Tb Associated With Immune Cell Infiltration)

    120-121页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Bi otechnology - Bioinformatics. According to newsoriginating from Jiangsu, People ’s Republic of China, by NewsRx correspondents, research stated, “Theasymptomat ic nature of tuberculosis (TB) during its latent phase, combined with limitation s in currentdiagnostic methods, makes accurate diagnosis challenging. This stud y aims to identify TB diagnostic biomarkers by integrating gene expression scree ning with machine learning, evaluating their diagnosticpotential and correlatio n with immune cell infiltration.”

    Study Results from Universitas Ahmad Dahlan Broaden Understanding of Support Vec tor Machines (Chi-Square Feature Selection with Pseudo-Labelling in Natural Lang uage Processing)

    121-122页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in . According to news reporting out of the UniversitasAhmad Dahlan by NewsRx edit ors, research stated, “This study aims to evaluate the effectiveness of theChi- Square feature selection method in improving the classification accuracy of line ar Support VectorMachine, K-Nearest Neighbors and Random Forest in natural lang uage processing when combined withclassification algorithms as well as introduc ing Pseudo-Labelling techniques to improve semi-supervisedclassification perfor mance.”

    Hubei University of Technology Reports Findings in Robotics (Efficient deep lear ning based rail fastener screw detection method for fastener screw maintenance r obot under complex lighting conditions)

    122-123页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Robotics is the subjec t of a report. According to news reportingoriginating in Hubei, People’s Republ ic of China, by NewsRx journalists, research stated, “For the railfastener repl acement operation at night in the wilderness, the lighting conditions on the rai l fastenerscrews are complex, due to the multiple illuminants like headlamps an d flashlights at the site, makingsome parts of the objects appear dark or low l ight status in the camera. These complex lighting conditions(CLCs) interfere wi th the fastener recognition ability of the fastener screw detection algorithm si nce itcan hardly maintain fixed and optimized lighting conditions of the fasten er screw.”

    Researchers at Kyiv National University of Construction and Architecture Zero in on Artificial Intelligence (Multi-Stage Classification of Construction Site Mod eling Objects Using Artificial Intelligence Based on BIM Technology)

    123-124页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on artificial intelligence is now available. According to news originatingfrom Kyiv National University o f Construction and Architecture by NewsRx correspondents, researchstated, “AI, IoT, and BIM technologies are revolutionizing the building business. This study applies thesemethods to the multi-stage categorization of construction site mod eling items to create an ‘evolutionary’digital twin.”

    Chongqing University Reports Findings in Brain Metastasis (Machine learning-base d prediction model for brain metastasis in patients with extensive-stage small c ell lung cancer)

    124-125页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Brain Diseases and Con ditions - Brain Metastasis is the subject of areport. According to news reporti ng originating from Chongqing, People’s Republic of China, by NewsRxcorresponde nts, research stated, “Brain metastases (BMs) in extensive-stage small cell lung cancer (ESSCLC)are often associated with poor survival rates and quality of l ife, making the timely identificationof high-risk patients for BMs in ES-SCLC c rucial. Patients diagnosed with ES-SCLC between 2010 and2018 were screened from the Surveillance, Epidemiology, and End Results (SEER) database.”

    National Research Council of Canada Reports Findings in Machine Learning (An int roduction to machine learning tools for the analysis of microplastics in complex matrices)

    125-126页
    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 from Ottawa, Canada, by NewsR x editors, the research stated, “As microplastic (MP) particlescontinue to spre ad globally, their pervasive presence is increasingly problematic. Analyzing MPs in matricesas varied as soil, river water, and biosolid fertilizers is critica l, as these matrices directly impact the foodsources of plants, animals, and hu mans.”

    Reports Outline Artificial Intelligence Study Findings from Institute of Managem ent Technology (Elevating Logistics Performance: Harnessing the Power of Artific ial Intelligence In E-commerce)

    126-127页
    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 originating in Ghazi abad, India, by NewsRx journalists, research stated, “Artificial intelligence (AI) usage improves e-commerce logistics efficiency. However, many actors can play significant roles, such assupply chain consistency (SCC), last-mile logistics (LML) performance and collaboration and coordinationamong logistics firms.”

    New Machine Learning Findings Reported from University of Birmingham (Cause-agno stic Bridge Damage State Identification Utilising Machine Learning)

    127-128页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on Machine Learning is now available. According to news reporting outof Birmingham, United Kingdom, by Ne wsRx editors, research stated, “The existing bridge stock, both inthe EU and gl obally, contains several bridges that are reaching the end of their design-life, many of themshowing signs of deterioration. Although different deterioration m echanisms are involved in this process,the dominant one is deemed to be the cor rosion of tendons.”