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    Researchers from China University of Geosciences Report New Studies and Findings in the Area of Support Vector Machines [Coal Structure Ident ification Based On Geophysical Logging Data: Insights From Wavelet Transform (Wt ) and Particle Swarm ...]

    86-87页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Research findings on Support Vector Machines are discussed in a new report. According to news reporting originating from Beijing, People’s Republic of China, by NewsRx correspondents, research stated, “Coal st ructure is closely related to microscopic and macroscopic properties of coal, an d its accurate identification is of great significance to coalbed methane (CBM) reservoir evaluation, hydraulic fracturing performance and production efficiency prediction. The identification of coal structure based on geophysical logging d ata has become a popular topic as well as a challenge.”

    Yasar University Reports Findings in Machine Learning (A review of ADHD detectio n studies with machine learning methods using rsfMRI data)

    87-88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 originating in Izmir, Turkey, by NewsRx journalists, research stated, “Attention deficit hyperactivity disord er (ADHD) is a common mental health condition that significantly affects school- age children, causing difficulties with learning and daily functioning. Early id entification is crucial, and reliable and objective diagnostic tools are necessa ry.”

    Study Data from Shanghai University Update Knowledge of Machine Learning (Dynami c Industrial Optimization: A Framework Integrates Online Machine Learning for Pr ocessing Parameters Design)

    88-88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 ar tificial intelligence. According to news originating from Shanghai, People’s Rep ublic of China, by NewsRx correspondents, research stated, “We develop the onlin e process parameter design (OPPD) framework for efficiently handling streaming d ata collected from industrial automation equipment.”

    Research Reports on Machine Learning from University of North Carolina Chapel Hi ll Provide New Insights (Examining Financial Hardship and Caregiver Subgroups in Kinship Foster Placements: A Machine Learning Approach)

    89-89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 intelligenc e is the subject of a new report. According to news reporting out of Chapel Hill , North Carolina, by NewsRx editors, research stated, “Children placed with kins hip foster parents can experience less disruption and stronger family ties than children in non-kinship placements.” Funders for this research include University of North Carolina.

    Researchers from Texas State University Report on Findings in Machine Learning ( Uncertainty Quantification in CO [ [2] ] Trapping Mechanisms: A Case Study of PUNQ-S3 Reservoir Mode l Using Representative Geological Realizations and Unsupervised ...)

    90-90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 artificial intelligen ce have been presented. According to news originating from San Marcos, Texas, by NewsRx editors, the research stated, “Evaluating uncertainty in CO 2 injection projections often requires numerous high-resolution geological realizations (GRs ) which, although effective, are computationally demanding. This study proposes the use of representative geological realizations (RGRs) as an efficient approac h to capture the uncertainty range of the full set while reducing computational costs.”

    Institute of Neuroradiology Reports Findings in Artificial Intelligence (Detecti on of femoropopliteal arterial steno-occlusion at MR angiography: initial experi ence with artificial intelligence)

    91-91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 Intelligenc e is the subject of a report. According to news reporting originating from Furth , Germany, by NewsRx correspondents, research stated, “This study evaluated a de ep learning (DL) algorithm for detecting vessel steno-occlusions in patients wit h peripheral arterial disease (PAD). It utilised a private dataset, which was ac quired and annotated by the authors through their institution and subsequently v alidated by two blinded readers.”

    Reports from University of Alberta Add New Data to Research in Machine Learning (General value functions for fault detection in multivariate time series data)

    92-92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 ar tificial intelligence. According to news reporting originating from Edmonton, Ca nada, by NewsRx correspondents, research stated, “One of the greatest challenges to the automated production of goods is equipment malfunction. Ideally, machine s should be able to automatically predict and detect operational faults in order to minimize downtime and plan for timely maintenance.”

    Patent Application Titled 'Joint Structure and Exo-Skeleton Robot Including the Same' Published Online (USPTO 20240075611)

    93-97页
    查看更多>>摘要:Reporters obtained the following quote from the background information supplied by the inventors: “An exo-skeleton robot that provides an assistant force to an upper arm of a user when the user performs an operation while wearing the robot on an upper body of the user is a robot that assists the user by providing a for ce that presses an arm of the user upwards. The exo-skeleton robot functions to assist a user when the user performs an operation in a posture of raising an arm , for example, performs an assembly operation below a vehicle.

    Study Findings on Machine Learning Reported by Researchers at University of Cali fornia Berkeley (Using AI/Machine Learning to Extract Data from Japanese America n Confinement Records)

    93-93页
    查看更多>>摘要:The news reporters obtained a quote from the research from University of Califor nia Berkeley: “AI to complete this work. Brief Description: The project digitize d the complete set of Form WRA-26 ‘individual records” for more than 110,000 Jap anese Americans incarcerated in War Relocation Authority camps during WWII. The library utilized AI/machine learning to automate text extraction from over 220,0 00 images of a structured ‘standardized’ form; our goal was to improve upon and collect information not previously recorded in the Japanese American Internee Da ta file held by the National Archives and Records Administration. The project te am worked with technical, academic, legal, and community partners to address eth ical and logistical issues raised by the data extraction process, and to assess appropriate access options for the dataset(s) and digitized records. Results/Out come: Using AI/machine learning increased the quality of the data extracted from the digitized WWII era forms.”

    Patent Issued for Object gripping mechanism (USPTO 11919151)

    97-101页
    查看更多>>摘要:The following quote was obtained by the news editors from the background informa tion supplied by the inventors: “With increased reliance on automation, there is an increased use of robots to move objects, such as boxes, envelopes, unpackage d goods, and/or the like from one place to another. However, warehouses and the like often have varying sizes of objects and a singular robot may need to be abl e to safely move each different size in order to be efficient. However, current robotic object gripping mechanisms often struggle to create a sufficient engagem ent when adjusted to allow for different sized objects. Applicant has identified several technical challenges associated with robotic sorting arms. Through appl ied effort, ingenuity, and innovation, many of these identified challenges have been overcome by developing solutions that are included in embodiments of the pr esent disclosure, many examples of which are described in detail herein.”