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    Researchers at Shiraz University Publish New Data on Machine Learning (Optimizing PGRs for in vitro shoot proliferation of pomegranate with bayesian-tuned ensem ble stacking regression and NSGA-II: a comparative evaluation of machine learning ...)

    1-2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 artificial intelligence is now available. According to news reporting from Shiraz University by NewsRx journalists, research stated, “The process of optimizing in vitro shoot proliferation is a complicated task, as it is influenced by interactions of many factors as well as genotype. This study investigated the role of various concentrations of plant growth regulators (zeatin and gibberellic acid) in the successful in vitro shoot proliferation of three Punica granatum cultivars (‘Faroogh’, ‘Atabaki ’ and ‘Shirineshahvar’).”

    University of Toronto Reports Findings in Allergic Contact Dermatitis (Diagnosing contact dermatitis using machine learning: Areview)

    2-3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 Immune System Diseases and Conditions - Allergic Contact Dermatitis is the subject of a report. According to news reporting out of Toronto, Canada, by NewsRx editors, research stated , “Machine learning (ML) offers an opportunity in contact dermatitis (CD) research, where with full clinical picture, may support diagnosis and patch test accuracy. This review aims to summarise the existing literature on how ML can be applied to CD in its entirety.”

    Research on Machine Learning Detailed by a Researcher at Atma Jaya Catholic University of Indonesia (Advanced Machine Learning Techniques For Seismic Anomaly De tection in Indonesia: A Comparative Study of Lof, Isolation Forest, And One-class Svm)

    3-3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 intelligence are discussed in a new report. According to news reporting out of Atma Jaya Catholic University of Indonesia by NewsRx editors, research stated, “This study presents a comprehensive comparison of three machine learning algorithms for anomaly detection within seismic data, focusing on the unique geographical and geological context of Indonesia, a region prone to frequent seismic events.”

    Data on Machine Learning Discussed by Researchers at Queen’s University Belfast (Enhanced Hydrogen Storage Efficiency With Sorbents and Machine Learning: a Review)

    4-4页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators publish new report on Machine Learning. According to news reporting from Belfast, United Kingdom, by NewsRx journal ists, research stated, “Hydrogen is viewed as the future carbon-neutral fuel, ye t hydrogen storage is a key issue for developing the hydrogen economy because cu rrent storage techniques are expensive and potentially unsafe due to pressures r eaching up to 700 bar. As a consequence, research has recently designed advanced hydrogen sorbents, such as metal-organic frameworks, covalent organic framework s, porous carbon-based adsorbents, zeolite, and advanced composites, for safer hydrogen storage.”

    Researchers from Chinese Academy of Sciences Describe Findings in Machine Learni ng (A Novel Strategy for Automatic Selection of Cross-basin Data To Improve Local Machine Learning-based Runoff Models)

    5-6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 out of Beijing, People’s Republic of Chi na, by NewsRx editors, research stated, “Previous studies have shown that region al deep learning (DL) models can improve runoff prediction by leveraging large h ydrological datasets. However, training a DL regional model using all data witho ut screening may degrade local performance.”

    Qilu Hospital of Shandong University Reports Findings in Artificial Intelligence (Development of an artificial intelligence-based multimodal model for assisting in the diagnosis of necrotizing enterocolitis in newborns: a retrospective study)

    6-7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 Intelligence is the subject of a report. According to news reporting originating from Qingd ao, People’s Republic of China, by NewsRx correspondents, research stated, “The purpose of this study is to develop a multimodal model based on artificial intel ligence to assist clinical doctors in the early diagnosis of necrotizing enterocolitis in newborns. This study is a retrospective study that collected the initial laboratory test results and abdominal x-ray image data of newborns (non-NEC, NEC) admitted to our hospital from January 2022 to January 2024.A multimodal model was developed to differentiate multimodal data, trained on the training dataset, and evaluated on the validation dataset.”

    New Machine Learning Findings from Mansoura University Described (Fault Classifi cation and Localization In Microgrids: Leveraging Discrete Wavelet Transform and Multi-machine Learning Techniques Considering Single Measurements)

    7-8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 are discussed in a new report. According to news reporting out of Mansoura, Egyp t, by NewsRx editors, research stated, “Currently, microgrids are becoming more prevalent. Therefore, it is crucial to develop robust and reliable microgrid pro tection schemes.”

    Data on Artificial Intelligence Described by Researchers at University of Foggia (Optimal Multivariate Mixture: a Genetic Algorithm Approach)

    8-9页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Data detailed on Artificial Intelligence have been presented. According to news reporting originating from Foggia, Italy, by News Rx correspondents, research stated, “The Optimal Multivariate Mixture Problem (O MMP) consists of finding an optimal mixture which, starting from a set of elements (items) described by a set of variables (features), is as close as possible t o an ideal solution. This problem has numerous applications spanning various fields, including food science, agriculture, chemistry, materials science, medicine , and pharmaceuticals.”

    Study Data from Indian Institute of Technology Update Knowledge of Machine Learn ing (Multi-objective Optimization and Machine Learning Assisted Design and Synthesis of Magnesium Based Novel Non-equiatomic Medium Entropy Alloy)

    9-10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 reporting out of New Delhi, India, by NewsRx e ditors, research stated, “Non equiatomic compositionally complex alloys have gai ned significant attention due to their unique combinations of properties includi ng high strength, good ductility, excellent thermal stability and corrosion resi stance. The non equiatomic compositions provide flexibility in tailoring the mec hanical, thermal, magnetic, biomedical and other functional properties to meet t he specific application requirements.”

    Findings on Machine Learning Discussed by Investigators at Chongqing University (Prediction of Hardness or Yield Strength for Ods Steels Based On Machine Learning)

    10-11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 from Chongqing, People’s Repu blic of China, by NewsRx journalists, research stated, “Oxide dispersion strengt hened (ODS) steel has emerged as a highly promising cladding materials for Gener ation IV nuclear reactors due to its exceptional mechanical properties and remar kable resistance to irradiation, corrosion, and oxidation. In this study, the ma trix grain morphology, dispersion morphology, and phases of oxide particles in e ight ODS steels were studied by scanning transmission electron microscopy (STEM) , transmission electron microscopy (TEM), and high-resolution transmission elect ron microscopy (HRTEM).”