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    Findings from Democritus University of Thrace Provide New Insights into Machine Learning (A parallel recursive framework for modelling time series)

    15-16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 artificial intelligenc e is the subject of a new report. According to news reporting originating from D emocritus University of Thrace by NewsRx correspondents, research stated, “Time series modelling is of significance to several scientific fields.”

    New Data from University of Nottingham Illuminate Findings in Machine Learning ( Towards Frugal Industrial Ai: a Framework for the Development of Scalable and Ro bust Machine Learning Models In the Shop Floor)

    16-17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 originating from Nottingham, United Kingdom, by NewsRx correspondents, research stated, “Artificial intelligence (AI) among other digital technologies promise to deliver the next level of process efficien cy of manufacturing systems. Although these solutions such as machine learning ( ML) based condition monitoring and quality inspection are becoming popular, these work under very limited conditions.”

    New Robotics Findings from University of Lille Discussed (Extending Timoshenko Beam Theory for Large Deflections In Compliant Mechanisms)

    17-18页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Robotic s. According to news reporting out of Lille, France, by NewsRx editors, research stated, “Compliant mechanisms (CMs) have presented its inherently advantageous properties due to the fact that CMs utilize elastic deformation of the elementary flexible members to transfer motion, force, and energy. Previously, the classic Euler-Bernoulli beam theory is the most used theory in terms of modeling large beam deflections in CMs.”

    Xidian University Reports Findings in Robotics (3D Network Spacer-Embedded Flexible Iontronic Pressure Sensor Array with High Sensitivity over a Broad Sensing Range)

    18-18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 Robotics is the subjec t of a report. According to news reporting from Xi’an, People’s Republic of China, by NewsRx journalists, research stated, “Microstructure construction is a com mon strategy for enhancing the sensitivity of flexible pressure sensors, but it typically requires complex manufacturing techniques. In this study, we develop a flexible iontronic pressure sensor (FIPS) by embedding an isolated three-dimens ional network spacer (3DNS) between an ionic gel and a flexible TiCT MXene elect rode, thereby avoiding complex microstructure construction techniques.”

    Utah State University Researcher Has Published New Data on Machine Learning (Ele mental diffusion coefficient prediction in conventional alloys using machine learning)

    20-20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 artificial intelligen ce have been presented. According to news reporting out of Utah State University by NewsRx editors, research stated, “This paper presents the Machine Learned Di ffusion Coefficient Estimator, a comprehensive machine learning framework design ed to predict diffusion coefficients in impure metallic (IM) and multi-component alloy (MCA) media.”

    Research from University of Science and Technology Beijing Has Provided New Study Findings on Machine Learning (Application of machine learning for predicting the service performance of metallic materials)

    21-22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 Beijing , People’s Republic of China, by NewsRx correspondents, research stated, “In mat erials genetic engineering, data-driven machine learning (ML) technology is driv ing materials research into a new paradigm after theory, experiment, and computa tion, which is the fourth paradigm. Through ML, we can fully use the existing experimental data and exploit hidden connections underlying the data to achieve a more accurate prediction of material service performance despite not knowing the underlying principles.”

    New Robotics Study Results from Shandong University Described (Adaptive Fraction al-order Fast-terminal-type Sliding Mode Control for Underwater Vehicle-manipula tor Systems)

    22-23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 Robotics. According to news reporting out of Weihai, People’s Republic of China, by NewsRx editors, research stated, “This article proposes an adaptive fractional -order fast-terminal-type sliding mode control method to solve the trajectory tracking problem of the underwater vehicle-manipulator system in the presence of large dynamic uncertainties and strong external disturbances.”

    Data on Liver Surgery Reported by Victor Lopez-Lopez and Colleagues (Experience- based transition to robotic surgery in an experienced program in minimally invas ive hepatobiliary surgery)

    23-24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 Surgery - Liver Surgery is the subject of a report. According to news reporting originating in Murcia, Spain, by NewsRx journalists, research stated, “The adoption of robotic techniques in liver surgery introduces significant challenges for their safe integration within hepatobiliary surgery units. This study is designed to investigate the complexities associated with establishing a robotic surgery program.”

    Investigators from Northeastern University Report New Data on Robotics (Dynamic Characteristics and Frequency Reliability Analysis of an Optimized Compliant Stroke Amplification Mechanism)

    24-25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 Robotics is now availab le. According to news reporting from Shenyang, People’s Republic of China, by Ne wsRx journalists, research stated, “To rapidly analyze the dynamic characteristi cs of a compliant stroke amplification mechanism (CSAM) with completely distribu ted compliance, an analytical model based on the dynamic stiffness matrix with c onsideration of the damping effect is proposed. The natural frequency of the CSA M is optimized without attenuation of the amplification ratio based on this mode l.”

    University of Houston Researcher Has Provided New Study Findings on Robotics (Robotic Button Mushroom Harvesting Systems: A Review of Design, Mechanism, and Fut ure Directions)

    26-27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 ro botics. According to news reporting out of Houston, Texas, by NewsRx editors, re search stated, “The global demand for button mushrooms has surged in recent year s, driven by their health benefits, creating a significant challenge for the mushroom industry in meeting this increasing demand.”