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Robotics & Machine Learning Daily News

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    New Artificial Intelligence Findings from University of Wisconsin - Milwaukee Described (Understanding Machine Learning Predictions of Wastewater Treatment Plant Sludge With Explainable Artificial Intelligence)

    10-11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 Artificial Intelligence. According to news reporting out of Milwaukee, Wisconsin, by NewsRx editors, research stated, “This study investigates the use of machine learning (ML) models for wastewater treatment plant (WWTP) sludge predictions and explainable artificial intelligence (XAI) techniques for understanding the imp act of variables behind the prediction. Three ML models, random forest (RF), gradient boosting machine (GBM), and gradient boosting tree (GBT), were evaluated for their performance using statistical indicators.”

    Study Data from Canterbury Christ Church University Provide New Insights into Ro botics (Virtual Prototyping of Vision-based Tactile Sensors Design for Robotic-a ssisted Precision Machining)

    11-12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 Canterbury, United Kingdom, by NewsRx editors, research stated, “Vision-Based Tactile Sensors (VBTS) play a key role in enhancing the accuracy and efficiency of machining operations in robotic-assi sted precision machining systems. Equipped with VBTS, these systems offer contac t-based measurements, which are essential in machining accurate components for industries such as aerospace, automotive, medical devices, and electronics.”

    Research Conducted at Fuyang Normal University Has Updated Our Knowledge about Machine Learning (Reliability Analysis and Machine Learning Prediction for a Repairable Load-sharing k-out-of-n Plus w: G Power Supply System)

    12-13页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learning have been published. According to news originating from Fuyang, People’s Republic of China, by NewsRx editors, the research stated, “Based on a power supply system, a repairable K-out-of- N+W : G system with c repairmen and warm spares is considered, where each repairman asynchronously takes multiple working vacati ons and vacation interruption policy. Total load of the system is shared equally by all the operating generators, the failure rate of each operating generator increases with the decreasing of the number of operating generators.”

    Recent Findings from Instituto Nacional de Innovacion Agraria (INIA) Highlight Research in Machine Learning [Estimation of Forage Biomass in Oat (* * Avena sativa* * ) Using Agronomic Variables through UAV Multispectral Imaging]

    13-14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 intelligence have been presented. According to news reporting out of the Instituto Nacional de Innovacion Agraria (INIA) by NewsRx editors, research stated, “Accurate and timely estimation of oat biomass is crucial for the development of sustainable and efficient agricultural practices.”

    New Findings from Hunan Normal University in Computational Intelligence Provides New Insights (Attribute Reduction for Heterogeneous Data By Hybrid Neighborhood Graph Structure and Neighbor Inconsistent Pair Selection)

    14-15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 Machine Learning - Comp utational Intelligence is now available. According to news reporting originating in Changsha, People’s Republic of China, by NewsRx journalists, research stated , “As an effective means of data processing, the rough set model simulates human cognition by partitioning objects into multiple granules. Currently, the rough set model is widely used in attribute reduction.”

    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.”

    Research from Indian Institute of Technology Yields New Data on Robotics (Addres sing unpredictable movements of dynamic obstacles with deep reinforcement learni ng to ensure safe navigation for omni-wheeled mobile robot)

    19-19页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Fresh data on robotics are presented in a new rep ort. According to news reporting originating from Uttarakhand, India, by NewsRx correspondents, research stated, “The safe and efficient navigation of mobile robots in the presence of unknown dynamic obstacles remains a complex and unresolved challenge.”