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    Studies from Defence Institute of Advanced Technology Reveal New Findings on Mac hine Learning (Machine Learning-based Prediction and Experimental Validation of Electrospun Pvdf Fibers: Unraveling the Dynamics and Control of the B-phase)

    78-79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 originating in Pune, India, by NewsRx journalists, research stated, “The piezoelectric characteristic s of polyvinylidene fluoride (PVDF) result from the all-trans configuration of p olymer chains within the beta-phase, predominantly achieved through the electros pinning technique. In this paper, the prediction of the beta-phase in PVDF films produced via electrospinning is investigated using ensemble learning methods su ch as AdaBoost and random forest.”

    Findings in Robotics Reported from Columbia University (Design and Validation of a Novel Robotic Neck Brace for Cervical Traction)

    79-80页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on Robotics is the subject of a repo rt. According to news originating from New York City, New York, by NewsRx corres pondents, research stated, “Cervical traction is a common and effective treatmen t for degenerative disk diseases and pain in the cervical spine. However, the ma nual and mechanical methods of applying traction to the head-neck are limited du e to variability in the applied forces and the orientation of the head-neck rela tive to the shoulders during the procedure.” Financial support for this research came from ALS Association.

    Researchers from Center for Research and Advanced Studies of the National Polyte chnic Institute (CINVESTAV) Report on Findings in Mathematics (An Artificial Imm une System Algorithm for Classification Tasks. an Electronic Nose Case Study)

    80-81页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators discuss new findings in Mathematics . According to news originating from Mexico City, Mexico, by NewsRx corresponden ts, research stated, “This study explores the application of an electronic nose (e-nose), employing an Artificial Immune System (AIS) as a competitive alternati ve to the typical machine learning techniques. The proposed algorithm’s main fun ction is to modify its dimensions and adjust the values of its parameters during the training or mutation process, with no complex operations and minimal parame ter tuning.” Financial supporters for this research include Mexican National Council of Human ities, Sciences and Technologies (CONAHCYT), CINVESTAV-IPN.

    Data from University of North Carolina Greensboro Provide New Insights into Arti ficial Intelligence (The Academic Industry's Response To Generative Artificial I ntelligence: an Institutional Analysis of Large Language Models)

    81-82页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Artificial In telligence have been published. According to news reporting out of Greensboro, N orth Carolina, by NewsRx editors, the research stated, “This paper examines acad emic institutions’ heterogeneous initial responses to generative AI (GAI) tools like ChatGPT and factors influencing increased acceptance over time. GAI’s disru ptive nature coupled with uncertainty about impacts poses adoption challenges.”

    Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico Reports Findings in Ac ute Kidney Injury (Doppler-Derived Renal Functional Reserve in the Prediction of Postoperative Acute Kidney Injury in Patients Undergoing Robotic Surgery)

    82-83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 Kidney Diseases and Co nditions - Acute Kidney Injury is the subject of a report. According to news rep orting from Milan, Italy, by NewsRx journalists, research stated, “Postoperative acute kidney injury (PO-AKI) is a frequent complication after surgery. Various tools have been proposed to identify patients at high risk for AKI, including pr eoperative serum creatinine or estimated glomerular filtration rate (eGFR), urin ary cell cycle arrest, and tubular damage biomarkers; however, none of these can appropriately assess AKI risk before surgery.”

    Researchers from University of Leon Report New Studies and Findings in the Area of Machine Learning (Vnir-swir Reflectance Spectroscopy As a Nondestructive Tech nique for Compositional Determination of Archaeological Talc Samples With a Mach ine ...)

    83-84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 Machine Learning have been presented. According to news originating from Leon, Spain, by NewsRx corre spondents, research stated, “The material from which an archaeological piece is made provides a great deal of information regarding the society in which it was made; thus, any misidentification can lead to erroneous conclusions. The uniquen ess of many of these pieces hinders their mineralogical analysis because the pie ces cannot be damaged for sampling; therefore, errors in the classification of t hese materials are common.”

    Research from National Taipei University of Technology Has Provided New Study Fi ndings on Machine Learning (Machine Learning-Based Channel Estimation Techniques for ATSC 3.0)

    84-85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 Taipei, Taiwan, by NewsRx jo urnalists, research stated, “Channel estimation accuracy significantly affects t he performance of orthogonal frequency-division multiplexing (OFDM) systems.” Financial supporters for this research include National Science And Technology C ouncil, Taiwan. The news journalists obtained a quote from the research from National Taipei Uni versity of Technology: “In the literature, there are quite a few channel estimat ion methods. However, the performances of these methods deteriorate considerably when the wireless channels suffer from nonlinear distortions and interferences. Machine learning (ML) shows great potential for solving nonparametric problems. This paper proposes ML-based channel estimation methods for systems with comb-t ype pilot patterns and random pilot symbols, such as ATSC 3.0. We compare their performances with conventional channel estimations in ATSC 3.0 systems for linea r and nonlinear channel models. We also evaluate the robustness of the ML-based methods against channel model mismatch and signal-to-noise ratio (SNR) mismatch. ”

    Guangdong University of Foreign Studies Details Findings in Intelligent Systems (Chinese Named Entity Recognition Method Based On Multi-feature Fusion and Biaff ine)

    85-86页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learn ing - Intelligent Systems have been published. According to news reporting from Guangdong, People’s Republic of China, by NewsRx journalists, research stated, “ Chinese Named Entity Recognition (CNER) focuses on precisely identifying predefi ned structural categories in unstructured Chinese text. Most existing CNER model s do not consider the unique glyph and pinyin features of Chinese characters, bu t the rich semantic features hidden behind these features have a good effect on enhancing the judgment ability of language models.”

    Study Findings on Machine Learning Described by Researchers at Nanjing Universit y (A hybrid ensemble learning merging approach for enhancing the super drought c omputation over Lake Victoria Basin)

    86-87页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators discuss new findings in artificial intelligence. According to news originating from Nanjing University by NewsRx co rrespondents, research stated, “This study introduces a novel Hybrid Ensemble Ma chine-Learning (HEML) algorithm to merge long-term satellite-based reanalysis pr ecipitation products (SRPPs), enabling the estimation of super drought events in the Lake Victoria Basin (LVB) during the period of 1984 to 2019.” Financial supporters for this research include National Social Science Fund of C hina.

    Investigators at Central Queensland University Detail Findings in Machine Learni ng (Mandated Csr Spending and Tax Aggressiveness: a Machine Learning-driven Anal ysis)

    87-87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 originating from Rockhampton, Australia, by Ne wsRx correspondents, research stated, “We explore if mandated Corporate Social R esponsibility (CSR) spending encourages tax aggressiveness in firms. We use actu al CSR spending amounts instead of CSR proxy scores and consider India, which ha s mandated CSR spending regulation, as opposed to voluntary CSR regimes in exist ing works.”