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    Investigators at University of Munster Discuss Findings in Machine Learning (An Evolutionary Algorithm for Interpretable Molecular Representations)

    58-58页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Researchers detail new data in Machine Learning. According to news reporting from Munster, Germany, by NewsRx journalists, resear ch stated, “Encoding molecular structures into a computer - readable, utilizable format is the key step for any machine learning application in all chemical scie nces. Current representations vary strongly in complexity and shape, depending o n the application.” Financial support for this research came from German Research Foundation (DFG). The news correspondents obtained a quote from the research from the University o f Munster, “Therefore, the number of domain -specific representations is rapidly growing, with some being altered and retuned constantly. These tailored represe ntations raise the barriers for entry and method adaption, thus decelerating pro gress in application. Herein, we present a general algorithm capable of yielding a highly specific representation solely based on a given dataset. The algorithm utilizes structural queries and evolutionary methodologies to generate interpre table molecular fingerprints. These are highly suited for molecular machine lear ning, enabling the accurate prediction of reactivity, property, and biological a ctivity. We demonstrate its native interpretability, allowing for the extraction of knowledge, such as reactivity trends.”

    Research from Kwangwoon University Yields New Study Findings on Machine Learning (Predicting Car Rental Prices: A Comparative Analysis of Machine Learning Model s)

    59-59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 originating from Seoul, Sout h Korea, by NewsRx correspondents, research stated, “In modern times, people pre dominantly use personal vehicles as a means of transportation, and, as this tren d has developed, services that enable consumers to rent vehicles instead of buyi ng their own have emerged.” Financial supporters for this research include Technology And Information Promot ion Agency For Sme.

    New Findings from Hunan University of Science and Technology in the Area of Petr oleum Engineering Described (Machine Learning in Reservoir Engineering: A Review )

    60-60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 petroleum engineering i s now available. According to news originating from Xiangtan, People’s Republic of China, by NewsRx correspondents, research stated, “With the rapid progress of big data and artificial intelligence, machine learning technologies such as lea rning and adaptive control have emerged as a research focus in petroleum enginee ring.” Funders for this research include Open Fund Project of The National Key Laborato ry of Offshore Oil And Gas Development.

    Henan Polytechnic University Researcher Releases New Study Findings on Machine L earning (Constructing a Machine Learning Model for Rapid Urban Flooding Forecast in Sloping Cities along the Yangtze River: A Case Study in Jiujiang)

    61-61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 originating from Jiaozuo, Peopl e’s Republic of China, by NewsRx correspondents, research stated, “Cities with s loping terrain are more susceptible to flooding during heavy rains.” Funders for this research include Research Project of Shanghai Investigation Des ign And Research Institute Co. Ltd.; Mine Temporal And Spatial Information And E cological Restoration Key Laboratory of Ministry of Natural Resources Open Fund.

    Scuola Normale Superiore Reports Findings in Machine Learning (Machine-learning- guided recognition of a and b cells from labelfree infrared micrographs of livi ng human islets of Langerhans)

    62-62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 from Pisa, Italy, by NewsRx correspondents, research stated, “Human islets of Langerhans are comp osed mostly of glucagon-secreting a cells and insulin-secreting b cells closely intermingled one another. Current methods for identifying a and b cells involve either fixing islets and using immunostaining or disaggregating islets and emplo ying flow cytometry for classifying a and b cells based on their size and autofl uorescence.”

    Recent Findings from Dalian University of Technology Provides New Insights into Robotics (Hb-rrt:a Path Planning Algorithm for Mobile Robots Using Halton Sequen ce-based Rapidly-exploring Random Tree)

    63-63页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Researchers detail new data in Robotics. Accordin g to news reporting out of Dalian, People’s Republic of China, by NewsRx editors , research stated, “Path planning remains crucial for efficient robot operation. A Halton Biased Rapidly-exploring Random Tree (HB-RRT) path planning algorithm is introduced in this study.” Financial supporters for this research include National Natural Science Foundati on of China (NSFC), Ministry of education joint fund.

    Researchers from Tongji University Report Findings in Machine Learning (Construc ting a Deep Learning Radiomics Model Based On X-ray Images and Clinical Data for Predicting and Distinguishing Acute and Chronic Osteoporotic Vertebral Fracture s: a ...)

    64-65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 out of Shanghai, People’s Rep ublic of China, by NewsRx editors, research stated, “To construct and validate a deep learning radiomics (DLR) model based on X-ray images for predicting and di stinguishing acute and chronic osteoporotic vertebral fractures (OVFs). A total of 942 cases (1076 vertebral bodies) with both vertebral X-ray examination and M RI scans were included in this study from three hospitals.” Financial supporters for this research include Science and Technology Innovation Action Project of Science and Technology Commission of Shanghai Municipality (S TCSM), Medical Imaging Artificial Intelligence Special Research Fund Project, Na njing Medical Association Radiology Branch.

    New Findings from Tsinghua University in Robotics Provides New Insights (Torque Resistance Analysis and Dynamic Trajectory Planning for 3-dof Cable Suspended Pa rallel Robot With Parallelogram Cable Loops)

    65-66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 out of Beijing, People’s Republic of China , by NewsRx editors, research stated, “This letter investigates the torque resis tance performance and dynamic trajectory planning methods for general 3-DOF Cabl e Suspended Parallel Robots (CSPRs) with parallelogram cable loops, aiming to of fer efficient and lightweight robotic equipment for industrial applications. The Torque Resistance Ability Index (TRAI) and Torque Resistance Consumption Index (TRCI) are proposed to evaluate the torque resistance performance of parallelogr am cable loops and CSPRs.”

    Studies from University of Naples Federico II Provide New Data on Artificial Int elligence (Importance Performance Matrix Analysis for Assessing User Experience With Intelligent Voice Assistants: a Strategic Evaluation)

    66-67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 originating from Naples, Italy, by NewsRx c orrespondents, research stated, “The digital transformation, in which we have ac tively participated over the last decades, involves integrating new technology i nto every aspect of the business and necessitates a significant overhaul of trad itional business structures. Recently there has been an exponential increase in the presence of Artificial Intelligence (AI) in people’s daily lives, and many n ew AI-infused products have been developed.”

    Investigators from Koneru Lakshmaiah Education Foundation Have Reported New Data on Robotics (Geometry-based Parking Assistance Using Sensor Fusion for Robots W ith Hardware Schemes)

    67-68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 Andhra Pradesh , India, by NewsRx journalists, research stated, “Mobile robots parking in indoo r environments, trending toward complex problems, has motivated the development of new hardware computational paradigms. In this article, we present a novel and effective research for addressing parking assistance in slot identification bas ed on the geometry of a mobile robot using sensor data fusion with hardware sche mes.”