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    Recent Findings in Machine Learning Described by a Researcher from Portland Stat e University (Machine learning a universal harmonic interatomic potential for pr edicting phonons in crystalline solids)

    45-45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 Portland, Oregon, by New sRx journalists, research stated, “Phonons, as quantized vibrational modes in cr ystalline materials, play a crucial role in determining a wide range of physical properties, such as thermal and electrical conductivity, making their study a c ornerstone in materials science.” Funders for this research include National Science Foundation.

    Reports from Malmo University Describe Recent Advances in Sensor Technology (Pas sive Infrared Sensor-Based Occupancy Monitoring in Smart Buildings: A Review of Methodologies and Machine Learning Approaches)

    46-47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 se nsor technology. According to news reporting from Malmo, Sweden, by NewsRx journ alists, research stated, “Buildings are rapidly becoming more digitized, largely due to developments in the internet of things (IoT). This provides both opportu nities and challenges.” Financial supporters for this research include Knowledge Foundation.

    GMR Institute of Technology Researcher Illuminates Research in Machine Learning (Machine Learning Modeling Integrating Experimental Analysis for Predicting Comp ressive Strength of Concrete Containing Different Industrial Byproducts)

    48-48页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on artificial intell igence are discussed in a new report. According to news reporting out of Rajam, India, by NewsRx editors, research stated, “This study aimed to develop accurate models for estimating the compressive strength (CS) of concrete using a combina tion of experimental testing and different machine learning (ML) approaches: bas eline regression models, boosting model, bagging model, tree-based ensemble mode ls, and average voting regression (VR).”

    Researcher at Kyoto University Targets Machine Learning (Machine Learning-Based Interpretable Modeling for Subjective Emotional Dynamics Sensing Using Facial EM G)

    49-49页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on artificial intell igence are discussed in a new report. According to news originating from Kyoto, Japan, by NewsRx correspondents, research stated, “Understanding the association between subjective emotional experiences and physiological signals is of practi cal and theoretical significance.” Financial supporters for this research include Japan Science And Technology Agen cy-mirai Program. Our news reporters obtained a quote from the research from Kyoto University: “Pr evious psychophysiological studies have shown a linear relationship between dyna mic emotional valence experiences and facial electromyography (EMG) activities. However, whether and how subjective emotional valence dynamics relate to facial EMG changes nonlinearly remains unknown. To investigate this issue, we re-analyz ed the data of two previous studies that measured dynamic valence ratings and fa cial EMG of the corrugator supercilii and zygomatic major muscles from 50 partic ipants who viewed emotional film clips. We employed multilinear regression analy ses and two nonlinear machine learning (ML) models: random forest and long short -term memory. In cross-validation, these ML models outperformed linear regressio n in terms of the mean squared error and correlation coefficient. Interpretation of the random forest model using the SHapley Additive exPlanation tool revealed nonlinear and interactive associations between several EMG features and subject ive valence dynamics.”

    New Machine Learning Data Has Been Reported by a Researcher at China Agricultura l University (Freshwater Aquaculture Mapping in 'Home of Chinese Crawfish' by Us ing a Hierarchical Classification Framework and Sentinel-1/2 Data)

    50-51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 artificial intelligence are presented in a new report. According to news reporting originating from Beij ing, People’s Republic of China, by NewsRx correspondents, research stated, “The escalating evolution of aquaculture has wielded a profound and far-reaching imp act on regional sustainable development, ecological equilibrium, and food securi ty.” Funders for this research include National Key Research And Development Program of China; National Natural Science Foundation of China.

    Data from Harbin Institute of Technology Advance Knowledge in Support Vector Mac hines (In Situ Identification of Laser Directed Energy Deposition Condition Base d On Acoustic Emission)

    51-51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 Support Vector Machines are presented in a new report. According to news reporting out of Harbin, People ’s Republic of China, by NewsRx editors, research stated, “Additive manufacturin g with remarkable merits has enormous potential and application prospects in ple nty of fields. Unfortunately, the inconsistent quality of specimens fabricated i s severely hindering this technology from meeting the criteria for commercializa tion.”

    Researchers at University of Virginia Target Robotics (Task-oriented Safety Fiel d for Robot Control In Human-robot Collaborative Assembly Based On Residual Lear ning)

    52-52页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Robotics are disc ussed in a new report. According to news reporting originating in Charlottesvill e, Virginia, by NewsRx journalists, research stated, “With the development of sm art manufacturing, human-robot collaboration (HRC) is seen as the future of manu facturing. In a manufacturing environment with HRC, safety has been raising sign ificant attention since the conventional separation of workspaces between robots and humans is removed.” Financial support for this research came from National Science Foundation (NSF).

    Findings from Sichuan University in the Area of Machine Learning Described (A No vel Deformation Monitoring Model for High Arch Dams Using Impulse Response-based Equivalent Temperature and Machine Learning-aided Separate Modeling)

    53-54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 Ma chine Learning. According to news reporting originating from Chengdu, People’s R epublic of China, by NewsRx correspondents, research stated, “The anatomy of ser vice status through health monitoring models is essential to long-term structura l safety. Since deformation is the intuitive representation of the dam’s operati ng condition, it is crucial to investigate the deformation monitoring model with high accuracy and strong interpretability for the safety management of high arc h dams.” Financial supporters for this research include National Key R & D Program of China, National Natural Science Foundation of China (NSFC), Fundament al Research Funds for the Central Universities, Key Research Program of Sichuan Province.

    Technical University Braunschweig (TU Braunschweig) Reports Findings in Cancer ( Metabolomics analysis reveals novel serum metabolite alterations in cancer cache xia)

    54-55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 Cancer is the subject of a report. According to news reporting originating from Braunschweig, Germany, by NewsRx correspondents, research stated, “Cachexia is a body wasting syndrome that significantly affects well-being and prognosis of cancer patients, without effective treatment. Serum metabolites take part in pathophysiological processe s of cancer cachexia, but apart from altered levels of select serum metabolites, little is known on the global changes of the overall serum metabolome, which re presents a functional readout of the whole-body metabolic state.” Financial support for this research came from Volkswagen Foundation.

    Findings in Machine Learning Reported from Technical University of Denmark (DTU) (Fatigue Damage Reconstruction In Glass/epoxy Composites Via Thermal Analysis a nd Machine Learning: a Theoretical Study)

    55-56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 Ma chine Learning. According to news reporting out of Roskilde, Denmark, by NewsRx editors, research stated, “This study introduces an advanced, noncontact diagno stic tool for structural health monitoring of fatigue damage in fiber/polymer co mposite materials. The approach combines thermal image recognition of fatigue se lf-heating hotspots with highfidelity thermal modeling to quantitatively assess subsurface fatigue damage distributions by machine learning.”