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    Study Results from Instituto Politecnico Nacional Update Understanding of Artifi cial Intelligence (A New Classification Model Using a Decision Tree Generated fr om Hyperplanes in Dimensional Space)

    56-57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 reportingout of Mexico City, Mexico, by Ne wsRx editors, research stated, “One of the issues addressed by machine learning, with applications in various disciplines or fields such as the health sector an d the agriculturalsector among others, involves data classification.”

    Study Results from Instituto Politecnico Nacional Update Understanding of Artifi cial Intelligence (A New Classification Model Using a Decision Tree Generated fr om Hyperplanes in Dimensional Space)

    56-57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 reportingout of Mexico City, Mexico, by Ne wsRx editors, research stated, “One of the issues addressed by machine learning, with applications in various disciplines or fields such as the health sector an d the agriculturalsector among others, involves data classification.”

    Researchers from National Institute of Technology Warangal Detail Findings in Ma chine Learning (A Machine Learning-based Model for Multiple Material Density Pre diction Developed By Powder Bed Fusion Additive Manufacturing)

    56-56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 Ma chine Learning. According to news reportingfrom Telangana, India, by NewsRx jou rnalists, research stated, “In metal-based additive manufacturing,powder bed fu sion has been adopted for printing different metals and alloys. However, process parameterselection for printing dense and defect-free components is still chal lenging.”

    Researchers from National Institute of Technology Warangal Detail Findings in Ma chine Learning (A Machine Learning-based Model for Multiple Material Density Pre diction Developed By Powder Bed Fusion Additive Manufacturing)

    56-56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 Ma chine Learning. According to news reportingfrom Telangana, India, by NewsRx jou rnalists, research stated, “In metal-based additive manufacturing,powder bed fu sion has been adopted for printing different metals and alloys. However, process parameterselection for printing dense and defect-free components is still chal lenging.”

    New Machine Learning Findings from Universitas Syiah Kuala Published (Developing of calibration model for acetic acid, flavonoid, and capsaicin content from fre sh red chilies using combination Vis-NIR spectral descriptors, machine learning and ...)

    57-58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 artificial intelligence. According to news reportingfrom Banda Aceh, Indonesia, by NewsRx journalists, research stated, “Rapid and non-destructive measurementsto determine the amount of certain compounds in products such as fresh red chil ies are stillchallenging today.”

    New Machine Learning Findings from Universitas Syiah Kuala Published (Developing of calibration model for acetic acid, flavonoid, and capsaicin content from fre sh red chilies using combination Vis-NIR spectral descriptors, machine learning and ...)

    57-58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 artificial intelligence. According to news reportingfrom Banda Aceh, Indonesia, by NewsRx journalists, research stated, “Rapid and non-destructive measurementsto determine the amount of certain compounds in products such as fresh red chil ies are stillchallenging today.”

    Study Data from Hunan University Provide New Insights into Machine Learning (Uti lizing a Combination of Experimental and Machine Learning Methods To Predict and Correlate Between Accelerated and Natural Aging of Cfrp/al Adhesive Joints Unde r ...)

    58-59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 Machine Learn ing have been published. According tonews reporting out of Sanya, People’s Repu blic of China, by NewsRx editors, research stated, “Thisstudy investigates how carbon fiber reinforced polymer (CFRP)-to-aluminum adhesive joints behave underaccelerated aging conditions with hygrothermal exposure and compares these findi ngs against naturallyaged samples to evaluate material reliability in challengi ng environments. The CFRP-to-aluminum adhesivejoints were manufactured and subj ected to natural aging for durations ranging from 1 to 3 years with6-month inte rvals, as well as accelerated aging (hygrothermal) for periods ranging from 100 to 1200h, with intervals of 50 h. Subsequently, the mechanical properties of th e joints were evaluated using athree-point bending test.”

    Study Data from Hunan University Provide New Insights into Machine Learning (Uti lizing a Combination of Experimental and Machine Learning Methods To Predict and Correlate Between Accelerated and Natural Aging of Cfrp/al Adhesive Joints Unde r ...)

    58-59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 Machine Learn ing have been published. According tonews reporting out of Sanya, People’s Repu blic of China, by NewsRx editors, research stated, “Thisstudy investigates how carbon fiber reinforced polymer (CFRP)-to-aluminum adhesive joints behave underaccelerated aging conditions with hygrothermal exposure and compares these findi ngs against naturallyaged samples to evaluate material reliability in challengi ng environments. The CFRP-to-aluminum adhesivejoints were manufactured and subj ected to natural aging for durations ranging from 1 to 3 years with6-month inte rvals, as well as accelerated aging (hygrothermal) for periods ranging from 100 to 1200h, with intervals of 50 h. Subsequently, the mechanical properties of th e joints were evaluated using athree-point bending test.”

    New Study Findings from Robert Gordon University Illuminate Research in Artifici al Intelligence (Few-Shot Symbol Detection in Engineering Drawings)

    59-60页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New study results on artificial intell igence have been published. According to newsreporting out of Aberdeen, United Kingdom, by NewsRx editors, research stated, “Recently, there has beensignifica nt interest in digitizing engineering drawings due to their complexity and pract ical benefits.”

    New Study Findings from Robert Gordon University Illuminate Research in Artifici al Intelligence (Few-Shot Symbol Detection in Engineering Drawings)

    59-60页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New study results on artificial intell igence have been published. According to newsreporting out of Aberdeen, United Kingdom, by NewsRx editors, research stated, “Recently, there has beensignifica nt interest in digitizing engineering drawings due to their complexity and pract ical benefits.”