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

    Investigators at Northwestern Polytechnic University Describe Findings in Roboti cs (Robust Predictive Control for Eeg-based Brainrobot Teleoperation)

    66-67页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ro botics. According to news reporting originatingin Xi’an, People’s Republic of C hina, by NewsRx journalists, research stated, “Brain-teleoperation robotcontrol ensures that human beings interact with telepresence mobile systems through the brain neuralsignals. In this study, a hierarchical robust predictive control f ramework consisting of a two-loop control scheme is developed to simultaneously enhance the safety, navigation, and robustness performance ofelectroencephalogr aphy (EEG)-based robotic systems and minimize the loss of control by the end-use r.”Financial support for this research came from Natural Science Basic Research Pro gram of ShaanxiProvince.

    Charles Sturt University Researcher Details New Studies and Findings in the Area of Artificial Intelligence (Will Artificial Intelligence Affect How Cultural He ritage Will Be Managed in the Future? Responses Generated by Four genAI Models)

    67-68页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New study results on artificial intell igence have been published. According to newsoriginating from Albury, Australia , by NewsRx correspondents, research stated, “Generative artificial intelligence(genAI) language models have become firmly embedded in public consciousness.”

    Studies from Riphah International University in the Area of ArtificialIntellige nce Described (On Circular q-Rung Orthopair Fuzzy Sets with Dombi Aggregation Op erators and Application to Symmetry Analysis in Artificial Intelligence)

    68-69页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New study results on artificial intelligence have been published. According to news originating fromIslamabad, Pakistan, by News Rx correspondents, research stated, “Circular q-rung orthopair fuzzy sets(FSs) were recently considered as an extension of q-rung orthopair FSs (q-ROFSs), circ ular intuitionisticFSs (Cir-IFSs), and circular Pythagorean FSs (Cir-PFSs).”

    Recent Findings in Machine Learning Described by Researchers from Aalborg Univer sity (Battery Remaining Useful Life Prediction Using Machine Learning Models: A Comparative Study)

    69-70页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on artificial intelligence is now available. According to news reportingout of Aalborg East, Denmark, by NewsRx editors, research stated, “Predicting the remaining useful life(RUL) of lithium-ion (Li-ion) batteries is crucial to preventing system failures and enha ncing operationalperformance. Knowing the RUL of a battery enables one to perfo rm preventative maintenance or replacethe battery before its useful life expire s, which is vital in safety-critical applications.”

    Findings from Indian Institute of Science Provide New Insights into Machine Lear ning (Utilizing Machine Learning Techniques for Worst-Case Execution Time Estima tion on GPU Architectures)

    70-71页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on ar tificial intelligence. According to news originatingfrom Bengaluru, India, by N ewsRx correspondents, research stated, “The massive parallelism provided byGrap hics Processing Units (GPUs) to accelerate compute-intensive tasks makes it pref erable for Real-TimeSystems such as autonomous vehicles. Such systems require t he execution of heavy Machine Learning(ML) and Computer Vision applications bec ause of the computing power of GPUs. However, such systemsneed a guarantee of t iming predictability.”

    Research from Shahid Chamran University Reveals New Findings on Machine Learning (Determination and investigation of shear wave velocity based on one deep/machi ne learning technique)

    71-72页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on ar tificial intelligence. According to news reportingoriginating from Ahwaz, Iran, by NewsRx correspondents, research stated, “Rock physics plays an importantrol e in the oil, gas, and water industries by providing essential data for reservoi r management.”

    Researcher’s Work from Central South University Focuses on Machine Learning (Num erical Simulation and Machine Learning Prediction of the Direct Chill Casting Pr ocess of Large-Scale Aluminum Ingots)

    72-73页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New study results on artificial intelligence have been published. According to news originatingfrom Changsha, People’s Republic of China, by NewsRx correspondents, research stated, “The large-scaleingot of t he 7xxx-series aluminum alloys fabricated by direct chill (DC) casting often suf fers from foundrydefects such as cracks and cold shut due to the formidable cha llenges in the precise controlling of castingparameters.”

    Reports on Support Vector Machines from University of Shanghai for Science and T echnology Provide New Insights (Pm2.5 Collection Efficiency of Wire-plate Electr ostatic Precipitator: Prediction of Temperature Effects Using Support …)

    73-74页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators discuss new findings in Support Vec tor Machines. According to news reportingoriginating in Shanghai, People’s Repu blic of China, by NewsRx journalists, research stated, “With therapid developme nt of industry, coal-fired power generation accounts for a large proportion of t he totalpower generation, emitting a large amount of harmful substances, such a s PM2.5, seriously affectinghuman health. To investigate the PM2.5 collection e fficiency of wire-plate electrostatic precipitator (ESP)at different temperatur es, numerical simulations based on the multi-field coupling model of ESP were conducted.”

    New Robotics Study Findings Have Been Reported by Investigators at Zhejiang Univ ersity (Uncertainty-aware Autonomous Robot Exploration Using Confidence-rich Loc alization and Mapping)

    74-75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 Robotics. According to news reporting outof Hangzhou, People’s Republic of Chin a, by NewsRx editors, research stated, “Information-based autonomousrobot explo ration methods, aiming to maximize the exploration rewards, e.g., mutual information (MI), get more prevalent in field robotics applications. However, most MI-b ased exploration methodsassume known poses or use inaccurate pose uncertainty a pproximation, which may lead to deviation oreven failure when exploring prior u nknown environments.”

    New Artificial Intelligence Study Findings Recently Were Reported by Researchers at Georgia Institute of Technology (Integrating Multi-omics Data With Her for P recision Medicine Using Advanced Artificial Intelligence)

    75-76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 to newsreporting out of Atlanta, Geor gia, by NewsRx editors, research stated, “With the recent advancementof novel b iomedical technologies such as high-throughput sequencing and wearable devices, multi-modalbiomedical data ranging from multi-omics molecular data to real-time continuous bio-signals are generatedat an unprecedented speed and scale every day. For the first time, these multi-modal biomedical data areable to make prec ision medicine close to a reality.”