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    Study Results from National University of Defense Technology Provide New Insight s into Machine Learning (Accelerated Discovery and Formation Mechanism of High-e ntropy Carbide Ceramics Using Machine Learning Based On Low-cost Descriptors)

    57-58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 newsreporting originating in Changsha, Peop le’s Republic of China, by NewsRx journalists, research stated,“The vast compos itional space of High-entropy carbide ceramics (HECCs) renders traditional exper imentaltrialand-error and computational simulations inadequate for rapid traver sal and screening. In this work,leveraging retrievable and low-cost physicochem ical parameters as feature inputs, we have successfullyestablished an excellent predictive machine model (precision = 0.938, recall = 0.994, F1 score = 0.953) forHECCs, which is comparable to excellent model currently reported that was tr ained on density functionaltheory data, utilizing machine learning techniques.”

    Recent Studies from Beijing University of Technology Add New Data to Artificial Intelligence (Artificial Intelligence Driven Design of Cathode Materials for Sod ium-ion Batteries Using Graph Deep Learning Method)

    58-59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 Intelligen ce have been presented. According to newsreporting from Beijing, People’s Repub lic of China, by NewsRx journalists, research stated, “While deeplearning has b een used in battery computing to speed up the search for new cathode materials, the majorityof deep learning techniques only take into account elemental inform ation and topological information,ignoring the significance of geometrical info rmation and global information for electrode average voltageprediction. Multiva lent metal-ion Battery Voltage Graph Neural Network (MBVGNN) proposed in presentwork, which combines global information and geometric information.”

    Central South University Reports Findings in Lung Cancer (Construction of machin e learning models of lipid metabolism-related long non-coding RNA in lung adenoc arcinoma is associated with microenvironmental heterogeneity and immunotherapy)

    59-60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 - Lung Cancer is the subject of a report. According tonews reporting from Zhuzhou, People’s Republic of China, by NewsRx journalists, research stated, “Usingvarious bioinf ormatics tools, we constructed a prognostic model integrating the expression pro files of lipidmetabolization-related lncRNAs and clinical features. Our study d iscovered that various lipid metabolismrelatedlncRNAs were linked to the progn osis of lung adenocarcinoma.”

    Findings in Robotics Reported from Beijing Institute of Technology (A Sliding Mo de Based Foot-end Trajectory Consensus Control Method With Variable Topology for Legged Motion of Heavy-duty Robot)

    60-61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 Robotics is now availab le. According to news reporting from Beijing,People’s Republic of China, by New sRx journalists, research stated, “Rational foot-end trajectory planningand con trol are of great significance for stable-legged walking of heavyduty multi-legg ed robots. Toachieve a fast, active, and compliant response of the leg actuator to disturbances for improvement of thestability and flexibility of the heavy-d uty legged robot system during continuous walking on rough roads,a legged conse nsus control method (LCC) is proposed.”

    Southeast University Researchers Target Robotics (The Precision Improvement of R obot Integrated Joint Module Based on a New ADRC Algorithm)

    61-62页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators publish new report on robotics. Acc ording to news originating from Nanjing, People’sRepublic of China, by NewsRx c orrespondents, research stated, “This article analyzes the factors causingthe p recision error of the robot joint module, such as gear meshing disturbance, outp ut elastic deformation,and load mutation.”

    China Pharmaceutical University Reports Findings in Machine Learning (Mass Spect rometry Probe Combined with Machine Learning to Capture the Relationship between Metabolites and Mitochondrial Complex Activity at the Whole-Cell Level)

    62-63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 newsreporting originating in Nanjing, Peopl e’s Republic of China, by NewsRx journalists, research stated,“Mitochondrial co mplex activity controls a multitude of physiological processes by regulating the cellularmetabolism. Current methods for evaluating mitochondrial complex activ ity mainly focus on singlemetabolic reactions within mitochondria.”

    Capital Medical University Reports Findings in Endometriosis (Identification of a disulfidptosis-related genes signature for diagnostic and immune infiltration characteristics in endometriosis)

    63-64页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Uterine Diseases and C onditions - Endometriosis is the subject ofa report. According to news reportin g originating from Beijing, People’s Republic of China, by NewsRxcorrespondents , research stated, “Endometriosis (EMs) is the prevalent gynecological disease w ith thetypical features of intricate pathogenesis and immune-related factors. C urrently, there is no effectivetherapeutic intervention for EMs.”

    University College London (UCL) Researcher Provides New Study Findings on Machin e Learning (Pitfalls in Machine Learning for Computer Security)

    64-65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 reporting fromLondon, United Kingdom, by N ewsRx journalists, research stated, “With the growing processing power ofcomput ing systems and the increasing availability of massive datasets, machine learnin g algorithms haveled to major breakthroughs in many different areas.”

    Indian Council of Agricultural Research (ICAR) Indian Agricultural Research Inst itute (IARI) Reports Findings in Machine Learning [Ai-based M achine Learning and Multiple Linear Regression Approach To Simulate the Effect o f Weather On the Crop …]

    65-66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 reportingoriginating in New Delhi, India, by NewsRx journalists, research stated, “Weather-based simulation modelswere devel oped in the present study to characterise late blight of potato in the Lower Gan getic Plainsusing AI-based machine learning and multiple linear regression appr oaches. Weather variables considered inthis study were, daily maximum temperatu re, minimum temperature, rainfall, morning relative humidity,evening relative h umidity, wind speed, and solar radiation, observed during the potato crop growin gperiod, along with the disease parameter - crop age at first appearance of dis ease (CAFAD) - from 2006to 2020 (15 years).”

    Researchers at University of South China Have Published New Study Findings on Ma chine Learning (Deep Learning of Accurate Interatomic Potentials for Uranium, Zi rconium and Uranium-Zirconium Alloy)

    66-66页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Data detailed on artificial intelligence have bee n presented. According to news reporting fromHengyang, People’s Republic of Chi na, by NewsRx journalists, research stated, “Uranium-zirconium alloyis an impor tant nuclear fuel in Integral Fast Reactor, which is of great significance to st udy its basicphysical properties at high temperature by using advanced calculat ion methods.”