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

    Research from Lucian Blaga University of Sibiu in Robotics Provides New Insights (Robotic assembly - mobile platform for construction field)

    38-38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 news reportingoriginating from Sibiu, Roman ia, by NewsRx correspondents, research stated, “Construction sites ofteninvolve the manual transportation of heavy objects, posing risks to workers’ safety and efficiency.”Our news reporters obtained a quote from the research from Lucian Blaga Universi ty of Sibiu: “In thispaper, it was proposed a design, development, and evaluati on of a service robot specifically created forcarrying heavy objects in the con struction field. The robot is equipped with robust locomotion capabilities,inte lligent perception systems, and efficient control mechanisms to navigate through complex environmentsand handle various types of loads. It was presented the te chnical design of the robot, including its hardwarecomponents, sensing modaliti es, and software architecture. Furthermore, it was discussed the experimentalva lidation of the robot’s performance in real-world construction scenarios, highli ghting its effectivenessin improving productivity, reducing labor costs, and en hancing workplace safety.”

    New Machine Learning Findings from University of Zaragoza Reported (Finding Disc rete Symmetry Groups Via Machine Learning)

    39-40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 reportingout of Zaragoza, Spain, by NewsRx ed itors, research stated, “We introduce a machine-learning approach(denoted symme try seeker neural network) capable of automatically discovering discrete symmetr y groupsin physical systems.”

    Researchers at University of Twente Report New Data on Machine Learning (Space-t ime Modeling of Cascading Hazards: Chaining Wildfires, Rainfall and Landslide Ev ents Through Machine Learning)

    40-41页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on Machine Learning have been presented. According to news reportingfrom Enschede, Netherlands, by News Rx journalists, research stated, “The current study sets out toexplore yearly l andslide susceptibility dynamics on slopes regularly affected by fires. To do so , two yearlyinventories have been generated, one for the landslides and one for the wildfires, for an area of approximately2 km2 2 and for a period of 24 year s.”

    Central South University Reports Findings in Melanoma (Machine learning and sing le-cell RNA sequencing reveal relationship between intratumor CD8+ T cells and u veal melanoma metastasis)

    41-42页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Oncology - Melanoma is the subject of a report. According to newsreporting originating in Changsha, P eople’s Republic of China, by NewsRx journalists, research stated,“Uveal melano ma (UM) is adults’ most common primary intraocular malignant tumor. It has been observedthat 40% of patients experience distant metastasis during subsequent treatment.”

    New Findings from Zhejiang University in the Area of Machine Learning Described (Design of a Differentiable L-1 Norm for Pattern Recognition and Machine Learnin g)

    42-43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 reportingout of Zhejiang, People’s Republic o f China, by NewsRx editors, research stated, “In various applicationsof pattern recognition, feature selection, and machine learning, L-1 norm is used as eithe r an objectivefunction or a regularizer. Mathematically, L-1 norm has unique ch aracteristics that make it attractive inmachine learning, feature selection, op timization, and regression.”

    Shanghai Jiao Tong University School of Medicine Reports Findings in Robotics (E valuating robotic assistance on the learning curve and efficiency of mandibular angle ostectomy: an animal model study)

    43-44页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Robotics is the subjec t of a report. According to news reportingoriginating from Shanghai, People’s R epublic of China, by NewsRx correspondents, research stated,“This study evaluat ed the efficacy and learning curve of a maxillofacial surgical robotic system (M SRS)guided by electromagnetic navigation for mandibular angle ostectomy (MAO), compared to traditionalsurgical methods. The study utilized a controlled experi ment involving thirty rabbits, paired divided intoexperimental and control grou ps.”

    Maastricht University Reports Findings in Machine Learning (The Application of a Random Forest Classifier to ToF-SIMS Imaging Data)

    44-45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 Maastricht, Netherlands, by NewsRx correspondents, research stated, “Timeof-flight secondar y ion mass spectrometry (ToF-SIMS) imaging is a potent analytical tool that prov idesspatially resolved chemical information on surfaces at the microscale. Howe ver, the hyperspectral natureof ToF-SIMS datasets can be challenging to analyze and interpret.”

    Study Findings on Machine Learning Are Outlined in Reports from Department of Co mputer Engineering (Enhancing Infrared Solar Absorption Efficiency Through Plasm onic Solar Absorber Using Machine Learning-assisted Design)

    45-45页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on Machine Learning have been presented. According to news reportingoriginating from Gujarat, India, by NewsRx correspondents, research stated, “This research introduces thearchitect ure of an infrared solar energy absorber coupled with absorption prognosis emplo ying machinelearning techniques. Our approach involves creating an efficient ab sorber tailored for infrared wavelengthscomplemented by a machine learning mode l for accurately predicting absorption levels.”

    Data on Intelligent Transport Systems Reported by Researchers at Jiangsu Univers ity (Dynamic Indoor Mapping for Avp: Crowdsourcing Mapping Without Prior Maps)

    46-46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 Transport Systems have been published.According to news reporting originat ing from Jiangsu, People’s Republic of China, by NewsRx correspondents,research stated, “High-definition maps are essential for autonomous vehicle navigation, but indoorparking lots remain poorly mapped due to high costs. To address this, a crowdsourcing model gathers datafrom consumer-grade sensors in mass-produced vehicles to create semantic maps.”

    Studies from Islamic University of Madinah Reveal New Findings on Artificial Int elligence (Integrating Digital Twins and Artificial Intelligence Multi-Modal Tra nsformers into Water Resource Management: Overview and Advanced Predictive Frame work)

    47-47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 artific ial intelligence. According to news originating fromMadinah, Saudi Arabia, by N ewsRx correspondents, research stated, “Various Artificial Intelligence (AI)tec hniques in water resource management highlight the current methodologies’ streng ths and limitationsin forecasting, optimization, and control.”