首页期刊导航|Robotics & Machine Learning Daily News
期刊信息/Journal information
Robotics & Machine Learning Daily News
NewsRx
Robotics & Machine Learning Daily News

NewsRx

Robotics & Machine Learning Daily News/Journal Robotics & Machine Learning Daily News
正式出版
收录年代

    Nanyang Technological University Reports Findings in Machine Learning (Machine L earning Driven Atom-Thin Materials for Fragrance Sensing)

    10-11页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsoriginating from Singapore, Singapore, by NewsRx correspondents, research stated, “Fragrance plays acrucial role in th e daily lives. Its importance spans various sectors, from therapeutic purposes t o personalcare, making the understanding and accurate identification of fragran ces essential.”

    Findings from Chinese Academy of Sciences in Nanocrystals Reported (Interpretabl e Machine Learning-assisted Design of Febased Nanocrystalline Alloys With High Saturation Magnetic Induction and Low Coercivity)

    11-12页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators discuss new findings in Nanotechnol ogy - Nanocrystals. According to news originatingfrom Ningbo, People’s Republic of China, by NewsRx correspondents, research stated, “Overcoming thetrade-off between saturation magnetic induction (B-s) and coercivity (H-c) of Fe-based nan ocrystallinealloys (FNAs) remains a great challenge due to the traditional desi gn relying on trial-and-error methods,which are time-consuming and inefficient. Herein, we present an interpretable machine learning (ML)algorithm for the eff ective design of advanced FNAs with improved B-s and low H-c.”

    New Machine Learning Study Results Reported from San Jose State University (Malw are Classification Using Dynamically Extracted API Call Embeddings)

    12-13页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in artificial intelligence. According to news reportingoriginating from San Jose, California, by NewsRx correspondents, research stated, “Malware classifications tands as a crucial element in establishing robust computer security protocols, e ncompassing the segmentationof malware into discrete groupings. Recently, the e mergence of machine learning has presenteditself as an apt approach for address ing this challenge.”

    Tsinghua University Reports Findings in Machine Learning (An improved remote sen sing reference evapotranspiration estimation by simple satellite data and machin e learning)

    13-14页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to news originatingfrom Beijing, People’s Repu blic of China, by NewsRx correspondents, research stated, “Referenceevapotransp iration (ET) estimation is crucial for efficient irrigation planning, optimized water managementand ecosystem modeling, yet it presents significant challenges, particularly when meteorological dataavailability is limited. This study utili zed remote sensing data of land surface temperature (LST), dayof year, and lati tude, and employed a machine learning approach (e.g., random forest) to develop animproved remote sensing ET model.”

    National Taipei University of Technology Researchers Describe Advances in Machin e Learning (Machine Learning Assisted Cross- Layer Joint Optimal Subcarrier and P ower Allocation for Deviceto- Device Video Transmission)

    14-15页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in artificial intelligence. According to news originatingfrom Taipei, Taiwan, by N ewsRx correspondents, research stated, “The previous scheme used imitationlearn ing by classification of branching or pruning, combined with Branch and Bound (B &B) algorithmto solve physical-layer-only joint optimal subcarrier and power allocation problem in the device-to-devicecommunications. In this pa per, we propose joint source encoding rate control and machine learningassisted cross-layer joint optimal subcarrier/ power allocation.”

    Studies from Peking University Add New Findings in the Area of Robotics (How the Brain Achieves Real-time Vision: a Spiking Position Perception Model)

    15-16页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Robotics are disc ussed in a new report. According to newsreporting out of Beijing, People’s Repu blic of China, by NewsRx editors, research stated, “Real-time visualperception is essential for animals to survive in a complicated natural environment and for robots to interactwith moving targets. However, delays generally occur during the signal transfer and processing both foranimals and robots, and these delays would produce errors during real-time interactions with the physicalworld.”

    Research on Machine Learning Detailed by a Researcher at McGill University (A ge neral overview of methods for generating room impulse responses)

    16-16页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on artificial in telligence have been published. According tonews reporting from Montreal, Canad a, by NewsRx journalists, research stated, “The utilization of roomimpulse resp onses has proven valuable for both the acoustic assessment of indoor environment s and musicproduction.”

    Investigators at Beihang University Describe Findings in Intelligent Vehicles (C ontinuous Decision-making In Lane Changing and Overtaking Maneuvers for Unmanned Vehicles: a Risk-aware Reinforcement Learning Approach With Task Decomposition)

    17-17页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Current study results on Transportation - Intelli gent Vehicles have been published. According tonews reporting out of Beijing, P eople’s Republic of China, by NewsRx editors, research stated, “Reinforcementle arning methods have shown the ability to solve challenging scenarios in unmanned systems.However, solving long-time decision-making sequences in a highly compl ex environment, such as continuouslane change and overtaking in dense scenarios , remains challenging.”

    Findings from Higher Institute of Engineering & Technology Broaden Understanding of Machine Learning (Compressive Behavior of Eco-friendly Concret e Containing Glass Waste and Recycled Concrete Aggregate Using Experimental Inve stigation and …)

    18-18页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in Machine Learning. According to news originatingfrom Kafr El-Shaikh, Egypt, by N ewsRx correspondents, research stated, “This paper presents an experimentalinve stigation on the compressive behavior of eco-friendly concrete containing glass waste (GW)and recycled concrete aggregate (RCA). In all mixtures, cement and wa ter are stayed constant while fineand coarse aggregates were varied.”

    University of Economics Ho Chi Minh City Researcher Discusses Findings in Roboti cs (An Integrated T-Spherical Fuzzy Einstein Interaction Aggregator Group Decisi on-Making Approach: A Case Study of Concrete 3D Printing Robot Application in Vi etnam)

    19-19页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on robotics are presented I n a new report. According to news originatingfrom Ho Chi Minh City, Vietnam, by NewsRx correspondents, research stated, “This study introducesthe integrated T -spherical fuzzy Einstein interaction aggregator group decision-making approach, a novelframework designed to enhance multi-criteria decision-making (MCDM).”