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    Thunen Institute of Forest Ecosystems Reports Findings in Machine Learning (Euro pean beech spring phenological phase prediction with UAV-derived multispectral i ndices and machine learning regression)

    79-79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 news originatingfrom Eberswalde, Germany, b y NewsRx correspondents, research stated, “Acquiring phenologicalevent data is crucial for studying the impacts of climate change on forest dynamics and assess ing the risksassociated with the early onset of young leaves. Large-scale mappi ng of forest phenological timing usingEarth observation (EO) data could enhance our understanding of these processes through an added spatialcomponent.”
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    Quanzhou First Hospital Reports Findings in Squamous Cell Carcinoma (Application of predictive model based on CT radiomics and machine learning in diagnosis for occult locally advanced esophageal squamous cell carcinoma before treatment: A ...)

    80-80页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Oncology - Squamous Ce ll Carcinoma is the subject of a report.According to news originating from Fuji an, People’s Republic of China, by NewsRx correspondents, researchstated, “Deve lopment and validation of a radiomics model for predicting occult locally advanced esophageal squamous cell carcinoma (LA-ESCC) on computed tomography (CT) radi omic featuresbefore implementation of treatment. The study retrospectively coll ected 574 patients with esophagealsquamous cell carcinoma (ESCC) from two medic al centers, which were divided into three cohorts fortraining, internal and ext ernal validation.”
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    Peking University School and Hospital of Stomatology Reports Findings in Carcino mas (Prognostic prediction model for salivary gland carcinoma based on machine l earning)

    81-81页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Oncology - Carcinomas is the subject of a report. According to newsreporting from Beijing, People’s R epublic of China, by NewsRx journalists, research stated, “Although rareoverall , salivary gland carcinomas (SGCs) are among the most common oral and maxillofac ial malignancies.The aim of this study was to develop a machine learning-based model to predict the survival of patientswith SGC.”
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    Researchers from Nanjing Tech University Detail New Studies and Findings in the Area of Machine Learning (A Machine Learningbased Calibration Method for Streng th Simulation of Self-piercing Riveted Joints)

    82-82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 reportingoriginating from Nanjing, People’s Repub lic of China, by NewsRx correspondents, research stated, “Thispaper presents a new machine learning-based calibration framework for strength simulation models ofself-piercing riveted (SPR) joints. Strength simulations were conducted throu gh the integrated modelingof SPR joints from process to performance, while phys ical quasi-static tensile tests were performed oncombinations of DP600 high-str ength steel and 5754 aluminum alloy sheets under lap-shear loadingconditions.”
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    University of Cagliari Reports Findings in Machine Learning (Machine Learning Pr ediction of Small Molecule Accumulation in Escherichia Coli Enhanced with Descri ptor Statistics)

    83-83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 newsoriginating from Monserrato, Italy, by NewsRx correspondents, research stated, “Antibiotic resistance,particularly amo ng Gram-negative bacteria, poses a significant healthcare challenge due to their abilityto evade antibiotic action through various mechanisms. In this study, w e explore the prediction of smallmolecule accumulation in Gram-negative bacteri a by using machine learning techniques enhanced withstatistical descriptors der ived from molecular dynamics simulations.”
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    Researchers Submit Patent Application, 'Dynamic Control Of Knowledge Scope Of Ar tificial Intelligence Characters', for Approval (USPTO 20240221302)

    84-86页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - From Washington, D.C., NewsRx journali sts report that a patent application by theinventors Ermolenko, Mikhail (Mounta in View, CA, US); Gelfenbeyn, Ilya (Palo Alto, CA, US); Gibbs,Kylan (San Franci sco, CA, US); Gusarov, Roman (San Jose, CA, US); Ryzhov, Kirill (Mountain View,CA, US); Yu, Nathan (Sunnyvale, CA, US), filed on December 30, 2023, was made av ailable online onJuly 4, 2024.
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    Patent Application Titled 'Archetype-Based Generation Of Artificial Intelligence Characters' Published Online (USPTO 20240220520)

    86-89页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - According to news reporting originatin g from Washington, D.C., by NewsRx journalists,a patent application by the inve ntors Ermolenko, Mikhail (Mountain View, CA, US); Gelfenbeyn, Ilya (PaloAlto, C A, US); Gibbs, Kylan (San Francisco, CA, US); Tikhonov, Aleksey (Berlin, DE), fi led on December30, 2023, was made available online on July 4, 2024.
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    Patent Issued for Small actuator for robot (USPTO 12023805)

    89-91页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - According to news reporting originatin g from Alexandria, Virginia, by NewsRx journalists,a patent by the inventors Ja ng, Wook (Gwangmyeong-si, KR), Kim, Byoung Soo (Seoul, KR),Yun, Ung Kwon (Seoul , KR), filed on May 20, 2021, was published online on July 2, 2024.
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    'Systems, Methods, And Apparatuses For Predicting Resource Shortages Using Machi ne Learning' in Patent Application Approval Process (USPTO 20240223512)

    91-96页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - A patent application by the inventors Bossemeyer, Matthew Robert (Charlotte, NC,US); Davis, James Benjamin (Chicago, IL, US); Herron, Michael Wynn (Durham, NC, US); Shimshock,Matthew (Fairview, NC , US); Siepiela, Audrey (Charlotte, NC, US), filed on December 29, 2023, was mad e available online on July 4, 2024, according to news reporting originating from Washington, D.C.,by NewsRx correspondents.
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    'Document Type Detection During Upload Process' in Patent Application Approval P rocess (USPTO 20240221409)

    96-99页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine LearningDaily News Daily News - A patent application by the inventors BRIGHTER, James (Reston, VA, US);FRANKLIN, Keegan (Tucson, AZ, US); MAILLETT, J ohn (Vienna, VA, US); SCHOTT, Suranya Jayan(Arlington, VA, US), filed on Januar y 3, 2023, was made available online on July 4, 2024, according tonews reportin g originating from Washington, D.C., by NewsRx correspondents.
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