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

    Researchers at Liaocheng University Report New Data on Androids (Smf-mmf-scf-bas ed Humanoid-shaped Fiber-optic Sensor for Wide Range of Magnetic Field Detection )

    27-28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 - Androids is the subject of a report. According to news reporting from Liaocheng, People’s R epublic of China, by NewsRx journalists, research stated, “In this study, we pro pose a fiber-optic magnetic field sensor based on a humanoid fiber structure. Co nsidering that conventional magnetic field sensors are susceptible to electromag netic interference, in this study we employed a fiber optic fusion splicer and a combiner manufacturing system (CMS) to fabricate a singlemode fiber (SMF), a m ultimode fiber (MMF), and a seven-core fiber (SCF) fused humanoid fiber optic se nsor.”

    Universidade Europeia Researcher Updates Understanding of Machine Learning (How Automated Machine Learning Can Improve Business)

    28-29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 artificial intelligence. According to news reporting out of Lisbon, Portugal, by NewsRx editors, research stated, “Automated Machine Learning (AutoML) is revolu tionizing how businesses utilize data, but there seems to be a lack of clarity a nd a holistic view regarding all its advantages, especially concerning the benef its of AutoML for companies.”

    National University of Singapore Researcher Releases New Data on Artificial Inte lligence (Artificial Intelligence in Electric Vehicle Battery Disassembly: A Sys tematic Review)

    29-30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 ar tificial intelligence. According to news reporting out of Singapore, Singapore, by NewsRx editors, research stated, “The rapidly increasing adoption of electric vehicles (EVs) globally underscores the urgent need for effective management st rategies for endof- life (EOL) EV batteries.”

    Study Findings from North Dakota State University Advance Knowledge in Artificia l Intelligence (Effective Hybrid Structure Health Monitoring through Parametric Study of GoogLeNet)

    29-29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 ar tificial intelligence. According to news reporting originating from Fargo, North Dakota, by NewsRx correspondents, research stated, “This paper presents an inno vative approach that utilizes infused images from vibration signals and visual i nspections to enhance the efficiency and accuracy of structure health monitoring through GoogLeNet.” Financial supporters for this research include North Dakota Nasa Epscor Grant.

    California Institute of Technology Researcher Has Published New Data on Robotics (EELS-DARTS: A Planetary Snake Robot Simulator for Closed-Loop Autonomy Develop ment)

    30-31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 originating from Pasadena, California, by NewsRx correspondents, research stated, “EELS-DARTS is a simulator designed for autono my development and analysis of large degree of freedom snake-like robots for spa ce exploration.” Funders for this research include Jet Propulsion Laboratory, California Institut e of Technology; National Aeronautics And Space Administration.

    Report Summarizes Machine Learning Study Findings from Pandit Deendayal Energy U niversity (Remaining Useful Life Predictor for EV Batteries Using Machine Learni ng)

    31-32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 ar tificial intelligence. According to news originating from Gandhinagar, India, by NewsRx correspondents, research stated, “The swift advancement of electric vehi cle (EV) technology enhances the focus on sustainable energy storage and undersc ores the crucial significance of lithium-ion batteries. This research primarily presents the techniques of forecasting the Remaining Useful Life (RUL) of lithiu m-ion battery using advanced Machine Learning (ML) methods such as Random Forest (RF) and Support Vector Machine (SVM).”

    Researcher from Sun Yat-sen University (SYSU) Reports on Findings in Robotics (S tability Conditions and Stiffness Variability of General Tensegrity Systems with Kinematic Joints)

    32-33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 robotics are presented i n a new report. According to news reporting originating from Sun Yat-sen Univers ity (SYSU) by NewsRx correspondents, research stated, “Tensegrity systems repres ent promising candidate mechanisms with in-situ stiffness variability through ch anging the cables’ prestress levels.” Financial supporters for this research include National Natural Science Foundati on of China.

    Researchers’ Work from Florida Institute of Technology Focuses on Artificial Int elligence (Superteams: the Development and Effect of Artificial Intelligence Tea mmates On Organizational Performance)

    33-33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 Artificial In telligence have been published. According to news reporting out of Melbourne, Fl orida, by NewsRx editors, research stated, “The structure and performance of hum an-only (HO) teams, high-performing teams (HPTs), and high-functioning teams (HF Ts) and their relevance to the Department of Defense (DoD) is discussed in Demir jian et al. (2024). The current paper stands on that paper and builds on a parad igmatic shift in team augmentation, interdependence, dynamics, and performance b y describing the emerging concept of Superteams, which are the integration of hi gh-functioning human teams with autonomous artificial intelligence (AI) technolo gies that enable performance superior to HO teams.”

    Research from Universidad Michoacana de San Nicolas de Hidalgo in the Area of Ar tificial Intelligence Published [Efficacy Evaluation of You O nly Learn One Representation (YOLOR) Algorithm in Detecting, Tracking, and Count ing Vehicular Traffic in ...]

    34-34页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators publish new report on artificial in telligence. According to news reporting originating from Michoacan, Mexico, by N ewsRx correspondents, research stated, “This research explores the efficacy of t he YOLOR (You Only Learn One Representation) algorithm integrated with the Deep Sort algorithm for real-time vehicle detection, classification, and counting in Morelia, Mexico.” Funders for this research include “morelia: Transformacion Inteligente Del Anali sis Y Conteo Vehicular Para Un Michoacan Innovador” Project.

    Dalian University of Technology Reports Findings in Machine Learning [Elucidating per- and polyfluoroalkyl substances (PFASs) soilwater partitioning behavior through explainable machine learning models]

    35-35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 originating from Dalian, People’s Repub lic of China, by NewsRx correspondents, research stated, “In this study, an opti mized random forest (RF) model was employed to better understand the soil-water partitioning behavior of per- and polyfluoroalkyl substances (PFASs). The model demonstrated strong predictive performance, achieving an R of 0.93 and an RMSE o f 0.86.”