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    New Machine Learning Findings from Lanzhou University of Technology Described (Optimization of Rf To Alloy Elastic Modulus Prediction Based On Cuckoo Algorithm)

    19-20页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators discuss new findings in Machine Learning. According to news originating fromLanzhou, People’s Republic of China, by NewsRx correspondents, research stated, “In recent years, therehas been an explosive rise in the combination of density-functional theory (DFT) computation and machinelearning in materials science research.”

    University of Michigan Researchers Add New Study Findings to Research in Robotics (Complex motion of steerable vesicular robots filled with active colloidal rods)

    20-21页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on robotics have been presented. According to news reporting fromthe University of Michigan by NewsRx journalists, research stated, “While the collective motion of activeparticles has been studied extensively, effective strategies to navigate particle swarms without externalguidance remain elusive.”

    Virginia Polytechnic Institute and State University (Virginia Tech) Researchers Illuminate Research in Machine Learning (Pre-Harvest Corn Grain Moisture Estimation Using Aerial Multispectral Imagery and Machine Learning Techniques)

    21-22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 artificial intelligence have been published. According to newsreporting from Suffolk, Virginia, by NewsRx journalists, research stated, “Corn grain moisture (CGM) iscritical to estimate grain maturity status and schedule harvest. Traditional methods for determining CGMrange from manual scouting, destructive laboratory analyses, and weather-based dry down estimates.”Financial supporters for this research include Usda Nifa Project; Hatch Project; Multistate HatchProject; Faculty Startup.

    Data on Machine Learning Described by Researchers at University of Kebangsaan (Hybrid Ensemble-based Machine Learning Model for Predicting Phosphorus Concentrations In Hydroponic Solution)

    22-23页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in Machine Learning. According to news reporting out ofBangi, Malaysia, by NewsRx editors, research stated, “Machine learning techniques can improve accuracyfor predicting phosphorus without using labels, despite requiring longer computational time. potentialsolution to address soil shortages by 2050. Hywhere nutrient solutions of nutrients consisting of Phosphorusis an essential macro development in hydroponic crops, respiration, cell division, root formation.”

    Southwest University Reports Findings in Adenocarcinoma (Feasibility and effectiveness of automatic deep learning network and radiomics models for differentiating tumor stroma ratio in pancreatic ductal adenocarcinoma)

    23-24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 - Adenocarcinoma is the subject of a report. Accordingto news reporting originating from Chongqing, People’s Republic of China, by NewsRx correspondents,research stated, “This study aims to compare the feasibility and effectiveness of automatic deep learningnetwork and radiomics models in differentiating low tumor stroma ratio (TSR) from high TSR in pancreaticductal adenocarcinoma (PDAC). A retrospective analysis was conducted on a total of 207 PDAC patientsfrom three centers (training cohort: n = 160; test cohort: n = 47).”

    University of Salerno Reports Findings in Robotics (A Dynamic Programming Framework for Optimal Planning of Redundant Robots Along Prescribed Paths With Kineto-dynamic Constraints)

    24-25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 Robotics have been published. According to news reportingfrom Salerno, Italy, by NewsRx journalists, research stated, “Offline optimal planning of trajectories forredundant robots along prescribed task space paths is usually broken down into two consecutive processes:first, the task space path is inverted to obtain a joint space path, then, the latter is parametrized with atime law. If the two processes are separated, they cannot optimize the same objective function, ultimatelyproviding sub-optimal results.”

    Studies from University of California Davis Have Provided New Data on Machine Learning (Fairness-aware Regression Robust To Adversarial Attacks)

    25-26页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in Machine Learning. According to news reporting out ofDavis, California, by NewsRx editors, research stated, “In this paper, we take a first step towards answeringthe question of how to design fair machine learning algorithms that are robust to adversarial attacks.”

    Sorbonne Universite Reports Findings in Artificial Intelligence (Artificial intelligence-assisted digital pathology for non-alcoholic steatohepatitis: current status and future directions)

    26-27页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Artificial Intelligence is the subject of a report. According to newsreporting from Paris, France, by NewsRx journalists, research stated, “The worldwide prevalence of nonalcoholicsteatohepatitis (NASH) is increasing, causing a significant medical burden, but no approvedtherapeutics are currently available. NASH drug development requires histological analysis of liver biopsiesby expert pathologists for trial enrolment and efficacy assessment, which can be hindered by multiple issuesincluding sample heterogeneity, inter-reader and intra-reader variability, and ordinal scoring systems.”

    Huazhong University of Science and Technology Researcher Yields New Findings on Machine Learning (Optimizing impedance matching parameters for single-frequency capacitively coupled plasma via machine learning)

    27-28页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on artificial intelligence have been presented. According to news reportingfrom Wuhan, People’s Republic of China, by NewsRx journalists, research stated, “Impedance matchingplays a critical role in achieving stable and controllable plasma conditions in capacitive coupled plasma(CCP) systems.”

    Reports on Support Vector Machines Findings from Xinjiang Medical University Provide New Insights (Identification of Lung Tumors in Nude Mice Based on the LIBS With Histogram of Orientation Gradients and Support Vector Machine)

    28-29页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on are presented in a new report. According to news originating fromXinjiang Medical University by NewsRx correspondents, research stated, “Early-stage detection of lungtumors helps to reduce patient mortality rates.”Funders for this research include National Natural Science Foundation of China; Natural Science Foundationof Xinjiang Province; Tianshan Young Foundation of Xinjiang Province.