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

    Findings from Xinjiang Agricultural University Broaden Understanding of Robotics (GNSS and LiDAR Integrated Navigation Method in Orchards with Intermittent GNSS Dropout)

    1-1页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in robotic s. According to news reporting from Urumqi,People’s Republic of China, by NewsR x journalists, research stated, “Considering the vulnerability ofsatellite posi tioning signals to obstruction and interference in orchard environments, this pa per investigatesa navigation and positioning method based on real-time kinemati c global navigation satellite system (RTKGNSS),inertial navigation system (INS ), and light detection and ranging (LiDAR).”

    Researcher at University of Liege Discusses Research in Machine Learning (Multi- Context Point Cloud Dataset and Machine Learning for Railway Semantic Segmentati on)

    2-2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 the University of Lieg e by NewsRx correspondents, research stated, “Railway scene understandingis cru cial for various applications, including autonomous trains, digital twining, and infrastructure changemonitoring.”

    Studies from Heidelberg University in the Area of Machine Learning Described (Pr edicting Lewis Acidity: Machine Learning the Fluoride Ion Affinity of p-block-at om-based Molecules)

    3-3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 Ma chine Learning. According to news originatingfrom Heidelberg, Germany, by NewsR x correspondents, research stated, “How strong is this Lewis acid?’ isa questio n researchers often approach by calculating its fluoride ion affinity (FIA) with quantum chemistry.Here, we present FIA49k, an extensive FIA dataset with 48,98 6 data points calculated at the RI-DSDBLYP-D3(BJ)/def2-QZVPP//PBEh-3c level of theory, including 13 different p-block atoms as the fluorideaccepting site.”

    New Findings from Shanghai Jiao Tong University Update Understanding of Machine Learning (Understanding Microstructureproperty Relationships of Hpdc Al-si Allo y Based On Machine Learning and Crystal Plasticity Simulation)

    4-4页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Machine Learning are discussed in a new report. Accordingto news reporting originating in Shangh ai, People’s Republic of China, by NewsRx journalists, researchstated, “Al-Si a lloys manufactured via high-pressure die casting (HPDC) are suitable for a wide rangeof applications. However, the heterogeneous microstructure and unpredictab le pore distribution of Al-Sihigh-pressure die castings result in significant v ariations in the mechanical properties, thus leading to acomplicated microstruc ture-property relationship that is difficult to capture.”

    Study Results from University of Science and Technology Beijing in the Area of M achine Learning Reported (A Survey of Knowledge Graph Construction Using Machine Learning)

    5-5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 Machine Learn ing have been published. According tonews originating from Beijing, People’s Re public of China, by NewsRx correspondents, research stated,“Knowledge graph (KG ) serves as a specialized semantic network that encapsulates intricate relations hipsamong real -world entities within a structured framework. This framework fa cilitates a transformation ininformation retrieval, transitioning it from mere string matching to far more sophisticated entity matching.”

    Recent Findings from Zhejiang University Provides New Insights into Machine Lear ning (Mapping Global Lithospheric Mantle Pressure-temperature Conditions By Mach ine-learning Thermobarometry)

    6-7页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Machine Learning are discussed in a new report. Accordingto news reporting originating from Hang zhou, People’s Republic of China, by NewsRx correspondents,research stated, “Co mprehending the temperature distribution within Earth’s lithospheric mantle is of paramount importance for understanding the dynamics of Earth’s interior. Tradi tional mineral-basedthermobarometers effectively constrain temperature and pres sure for particular compositions, but theirapplication is limited at the global scale.”

    South China University of Technology Reports Findings in Machine Learning [Prediction of Cr(VI) and As(V) adsorption on goethite using hybrid surface compl exation-machine learning model]

    7-8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 newsreporting originating from Guangzhou, P eople’s Republic of China, by NewsRx correspondents, researchstated, “This stud y aimed to develop surface complexation modeling-machine learning (SCM-ML) hybri dmodel for chromate and arsenate adsorption on goethite. The feasibility of two SCM-ML hybrid modelingapproaches was investigated.”

    University of Porto Researcher Provides New Insights into Coastal Engineering (M achine Learning in Coastal Engineering: Applications, Challenges, and Perspectiv es)

    8-9页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on coastal engineering is the subject of a new report. According to newsreporting out of Porto, Portugal , by NewsRx editors, research stated, “The integration of machine learning(ML) techniques in coastal engineering marks a paradigm shift in how coastal processe s are modeled andunderstood.”Funders for this research include European Union’s Horizon Europe Research And I nnovation Programme.

    Reports from University of Technology Add New Data to Research in Robotics (Modi fiedment the Performance of Q-learning Algorithm Based on Parameters Setting for Optimal Path Planning)

    9-9页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Researchers detail new data in robotics. Accordin g to news reporting out of the Universityof Technology by NewsRx editors, resea rch stated, “In engineering, the use of mobile robots to teachautomatic control is becoming more common because of the interesting experiments that can be conducted with them.”

    Zhejiang A&F University Researchers Detail New Studies and Findings in the Area of Machine Learning (Construction of influencing factor segmentatio n and intelligent prediction model of college students’ cell phone addiction mod el based on …)

    10-10页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – A new study on artificial intelligence is now ava ilable. According to news originating from Zhejiang,People’s Republic of China, by NewsRx editors, the research stated, “Mobile phone addiction among colleges tudents has emerged as a prevalent phenomenon in contemporary society, posing si gnificant challengesto the development and well-being of these individuals.”