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    New Artificial Intelligence Study Findings Reported from University of Electroni c Science and Technology of China (Inversion of the Electron Density In the Lowe r Ionosphere Using Artificial Intelligence)

    68-68页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-A new study on Artificial Intelligence is now available. According to news reporting out of Chengdu, People’s Republic of China, by NewsRx editors, research stated, “In this letter, we propose a new method that is based on the frequency-domain finite element method and artifici al intelligence (FDFEM-AI) to invert the electron density in the lower ionospher e. The highly efficient FDFEM is reported to build a dataset for training and te sting neural networks.”

    New Findings on Machine Learning Described by Investigators at Tongji University (Svce: Shapley Value Guided Counterfactual Explanation for Machine Learning-bas ed Autonomous Driving)

    69-69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 Shanghai, Peop le’s Republic of China, by NewsRx journalists, research stated, “The explainabil ity of complex machine-learning models is becoming increasingly significant in s afety-critical domains such as autonomous driving. In this context, counterfactu al explanation (CE), as an effective explainability method in explainable artifi cial intelligence, plays an important role.”

    Investigators at Jinhua Polytechnic Detail Findings in Machine Learning (Applica tion of Machine Learning Boosting and Bagging Methods To Predict Compressive and Flexural Strength of Marble Cement Mortar)

    70-70页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators discuss new findings in Machine Learning. According to news reporting originating from Zhejiang, People’ s Republic of China, by NewsRx editors, the research stated, “Compressive (CS) a nd flexural strength (FS) of sustainable mortar made from waste materials were e stimated using machine learning (ML) tools. Ensemble ML techniques, including ex treme gradient boosting (XGB) and bagging regressor (BR), were utilized to accom plish the study goals.”

    Findings in Machine Learning Reported from Institute of Meteorology and Climate Research (How Cloud Droplet Number Concentration Impacts Liquid Water Path and P recipitation in Marine Stratocumulus Clouds-A Satellite-Based Analysis Using ... )

    71-71页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators discuss new findings in artificial intelligence. According to news reporting originating from Karlsruhe, Germany, by NewsRx correspondents, research stated, “Aerosol-cloudprecipitatio n interactions (ACI) are a known major cause of uncertainties in simulations of the future climate.”

    Investigators at University of Florida Report Findings in Machine Learning (Anis otropic Physics-regularized Interpretable Machine Learning of Microstructure Evo lution)

    72-72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 Machine Learning have been presented. According to news reporting from Gainesville, Florida, by NewsR x journalists, research stated, “Anisotropic Physics-Regularized Interpretable M achine Learning Microstructure Evolution (APRIMME) is a general-purpose machine learning solution for grain growth simulations. In prior work, PRIMME employed a deep neural network to predict site-specific migration as a function of its nei ghboring sites to model normal, isotropic, grain growth behavior.”

    Research Study Findings from Dhaka University of Engineering and Technology (DUE T) Update Understanding of Machine Learning (A Medical Cyber-physical system for predicting maternal health in developing countries using machine learning)

    73-73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 from Gazipur, Bangladesh, by NewsRx journalists, research stated, “It is essential to monitor any health issu es during pregnancy to ensure a safe delivery because pregnancy is crucial for b oth mother and child. However, developing countries have poor access to healthca re, making managing possible health risks during pregnancy challenging.”

    Investigators from Zhejiang University Report New Data on Robotics (An Assembly Sequence Monitoring Method Based On Workflow Modeling for Human-robot Collaborat ive Assembly)

    74-74页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators discuss new findings in Robotics. According to news reporting from Hangzhou, People’s Republic of China, by NewsRx journalists, research stated, “Human-robot collaborative assembly (HR CA) is one of the hot trends in intelligent manufacturing and has gained the att ention of many researchers. In HRCA, errors in assembly sequence may reduce work ing efficiency and damage workpieces.”

    Petra University Researchers Have Provided New Data on Machine Learning (Hybrid grey wolf and whale optimization for enhanced Parkinson’s prediction based on ma chine learning models using biomedical sound)

    75-75页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Research findings on artificial intelligence are discussed in a new report. According to news reporting originating from Amman, J ordan, by NewsRx correspondents, research stated, “Biomedical voice measurements have been used by many physicians and scientists to distinguish Parkinson’s pat ients from ordinary people. Measurements of biomedical voices involve many varia bles calculated from signal analysis of the voice.”

    Studies from Hangzhou Dianzi University Describe New Findings in Robotics and Au tomation (Boosting Rgb-d Point Cloud Registration Via Explicit Position-aware Ge ometric Embedding)

    76-76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 Robotics - Robotics a nd Automation have been presented. According to news reporting out of Hangzhou, People’s Republic of China, by NewsRx editors, research stated, “The goal of poi nt cloud registration is to determine the rigid transformation between two unali gned point clouds, in which extracting reliable correspondences from overlapping regions is the key to success. Many recent methods have attempted to boost poin t cloud registration by using RGB-D data.”

    Researchers from University of Freiburg Report Details of New Studies and Findin gs in the Area of Robotics and Automation (Centergrasp: Object-aware Implicit Re presentation Learning for Simultaneous Shape Reconstruction and 6-dof Grasp ...)

    77-77页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Fresh data on Robotics - Robotics and Automation are presented in a new report. According to news reporting out of Fre iburg, Germany, by NewsRx editors, research stated, “Reliable object grasping is a crucial capability for autonomous robots. However, many existing grasping app roaches focus on general clutter removal without explicitly modeling objects and thus only relying on the visible local geometry.”