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    Research from Istanbul University-Cerrahpasa Reveals New Findings on Machine Learning (Forest fire occurrence modeling in Southwest Turkey using MaxEnt machine learning technique)

    66-66页
    查看更多>>摘要:Investigators publish new report on artificial intelligence. According to news originating from Istanbul University-Cerrahpasa by NewsRx editors, the research stated, “Climate anomalies and potential increased human pressure will likely cause the increase in frequency and damage of forest fires in the near future.”

    Data from Huazhong University of Science and Technology Update Knowledge in Cyborg and Bionic Systems (A Domain Generalization and Residual Network-Based Emotion Recognition from Physiological Signals)

    67-67页
    查看更多>>摘要:New study results on cyborg and bionic systems have been published. According to news reporting originating from Wuhan, People’s Republic of China, by NewsRx correspondents, research stated, “Emotion recognition from physiological signals (ERPS) has drawn tremendous attention and can be potentially applied to numerous fields.”

    New Machine Learning Findings from University of Twente Discussed (Phase Transitions of Lamno3 and Srruo3 From Dft + U Based Machine Learning Force Fields Simulations)

    68-68页
    查看更多>>摘要:A new study on Machine Learning is now available. According to news reporting out of Enschede, Netherlands, by NewsRx editors, research stated, “Perovskite oxides are known to exhibit many magnetic, electronic, and structural phases as function of doping and temperature.” Financial support for this research came from Netherlands Organization for Scientific Research (NWO). Our news journalists obtained a quote from the research from the University of Twente, “These materials are theoretically frequently investigated by the DFT + U method, typically in their ground state structure at T = 0. We show that by combining machine learning force fields (MLFFs) and DFT + U based molecular dynamics, it becomes possible to investigate the crystal structure of complex oxides as function of temperature and U. Here, we apply this method to the magnetic transition metal compounds LaMnO3 and SrRuO3. We show that the structural phase transition from orthorhombic to cubic in LaMnO3, which is accompanied by the suppression of a Jahn-Teller distortion, can be simulated with an appropriate choice of U. For SrRuO3, we show that the sequence of orthorhombic to tetragonal to cubic crystal phase transitions can be described with great accuracy.”

    Findings from University of Sussex Reveals New Findings on Androids (Dynamic Motion Primitives-based Trajectory Learning for Physical Human-robot Interaction Force Control)

    68-69页
    查看更多>>摘要:Current study results on Robotics - Androids have been published. According to news reporting from East Sussex, United Kingdom, by NewsRx journalists, research stated, “One promising function of interactive robots is to provide a specific interaction force to human users. For example, rehabilitation robots are expected to promote patients’ recovery by interacting with them with a prescribed force.” Financial supporters for this research include Engineering & Physical Sciences Research Council (EPSRC), (Chinese) State Key Laboratory of Robotics and Systems (HIT), Fundamental Research Funds for the Central Universities.

    Zhejiang University Reports Findings in Machine Learning (Machine learning-assisted high-content imaging analysis of 3D MCF7 microtissues for estrogenic effect prediction)

    69-70页
    查看更多>>摘要:New research on Machine Learning is the subject of a report. According to news reporting out of Hangzhou, People’s Republic of China, by NewsRx editors, research stated, “Endocrinedisrupting chemicals (EDCs) pose a significant threat to human well-being and the ecosystem. However, in managing the many thousands of uncharacterized chemical entities, the high-throughput screening of EDCs using relevant biological endpoints remains challenging.”

    Findings from University of Seville Yields New Data on Machine Learning (Effects of Lifestyle Behaviours and Depressed Mood On Sleep Quality In Young Adults. a Machine Learning Approach)

    71-71页
    查看更多>>摘要:Research findings on Machine Learning are discussed in a new report. According to news reporting from Seville, Spain, by NewsRx journalists, research stated, “Modern lifestyles may lead to high stress levels, frequently associated with mood disorders (e.g. depressed mood) and sleep disturbance. The objective of this study was to develop a machine learning model aimed at identifying risk factors for developing poor sleep quality in young adults.”

    Findings on Machine Learning Discussed by Investigators at Sapienza University of Rome (A Systematic Approach To Develop Safety-related Undesired Event Databases for Machine Learning Analyses: Application To Confined Space Incidents)

    72-72页
    查看更多>>摘要:Investigators publish new report on Machine Learning. According to news reporting originating in Rome, Italy, by NewsRx journalists, research stated, “In Occupational Safety and Health (OSH) and operational safety, confined spaces are high-risk working areas, where frequent serious and fatal incidents occur. However, there is a limited use of data-driven approaches based on Machine Learning (ML) techniques for learning from such incidents.”

    Reports from China University of Petroleum Add New Data to Findings in Machine Learning (Privacy-preserving Task Offloading In Mobile Edge Computing: a Deep Reinforcement Learning Approach)

    73-74页
    查看更多>>摘要:A new study on Machine Learning is now available. According to news originating from Beijing, People’s Republic of China, by NewsRx correspondents, research stated, “As machine learning (ML) technologies continue to evolve, there is an increasing demand for data. Mobile crowd sensing (MCS) can motivate more users in the data collection process through reasonable compensation, which can enrich the data scale and coverage.”

    Data from University of Illinois Urbana-Champaign Provide New Insights into Machine Learning (An optimized approach to speech transcription using blind source separation and speech-to-text machine learning models)

    73-73页
    查看更多>>摘要:Research findings on artificial intelligence are discussed in a new report. According to news reporting out of the University of Illinois Urbana-Champaign by NewsRx editors, research stated, “The use of speech-to-text transcription has a multitude of applications in various industries, including accessibility support, language processing, and automatic subtitling.”

    Study Data from Zhejiang University Provide New Insights into Robotics and Automation (Exploiting Point-wise Attention In 6d Object Pose Estimation Based On Bidirectional Prediction)

    74-75页
    查看更多>>摘要:A new study on Robotics - Robotics and Automation is now available. According to news reporting out of Hangzhou, People’s Republic of China, by NewsRx editors, research stated, “Traditional geometric registration based estimation methods only exploit the CAD model implicitly, which leads to their dependence on observation quality and deficiency to occlusion.To address the problem,the letter proposes a bidirectional correspondence prediction network with a point-wise attention-aware mechanism. This network not only requires the model points to predict the correspondence but also explicitly models the geometric similarities between observations and the model prior.”