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 University of Engineering and Technology Yields New Study Findings on Intelligent Systems (Blockchain-enabled intelligent toll management system)

    140-141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 in telligent systems. According to news reporting originating from Lahore, Pakistan , by NewsRx correspondents, research stated, “Road toll tax contributes signific antly in the economic development of any nation.” The news correspondents obtained a quote from the research from University of En gineering and Technology: “In developing countries, the toll tax collection is c arried out either manually or electronically. However, both approaches suffer fr om various challenges, including prolonged waiting times, lack of transparency, high operational costs, and concerns regarding data security and privacy. This r esearch aims to address these challenges using a blockchain-based system. The pr oposed system employs advanced image processing techniques, specifically “You On ly Look Once” version 5 (YOLOv5), to accurately capture and store vehicles’ regi stration numbers in a local server situated at toll plazas. Subsequently, the ve hicle identification, along with the driver’s credentials, is transmitted to an application server, where an Ethereum smart contract verifies the information an d automatically deducts the toll charges from the driver’s account.”

    Study Findings from China Agricultural University Provide New Insights into Agri cultural Robots (A Selective Harvesting Robot for Cherry Tomatoes: Design, Devel opment, Field Evaluation Analysis)

    141-142页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Agriculture - Agr icultural Robots are discussed in a new report. According to news originating fr om Beijing, People’s Republic of China, by NewsRx correspondents, research state d, “With the aging population and increasing labor costs, traditional manual har vesting methods have become less economically efficient. Consequently, research into fully automated harvesting using selective harvesting robots for cherry tom atoes has become a hot topic.” Financial supporters for this research include Science and Technology Program of Suzhou, Siemens Suzhou Research Institute, Ni-hui Agricultural Base in Suzhou, China.

    New Robotics Study Results Reported from Huazhong University of Science and Tech nology (Network Convergence Indicator for Efficient Robot Grasping Pose Detectio n Under Limited Computation Resource)

    142-143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 originating from Wuhan, People’s Republic of C hina, by NewsRx correspondents, research stated, “Industrial edge computing devi ces typically have limited computational performance. Current high-precision gra sping pose detection models are often over-parameterized, resulting in computati onal inefficiency and making it difficult to deploy on industrial robots.” Financial support for this research came from National Key Research and Developm ent Program of China.

    Study Results from University of Ghent Broaden Understanding of Robotics (Integr ated Barometric Pressure Sensors On Legged Robots for Enhanced Tactile Explorati on of Edges)

    143-143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 from Ghent, Belgium, by NewsRx journ alists, research stated, “This letter presents a new tactile sensor that utilize s an array of barometric pressure sensors encased in a deformable rubber sphere. Designed as an end effector foot of the legged quadruped robot Unitree Go1, the proposed sensor is able to withstand repeated impacts of at least 40 N at the f eet.” Financial support for this research came from Vlaamse regering.

    First Affiliated Hospital of University of Science and Technology China (USTC) R eports Findings in Artificial Intelligence (Prediction of epidermal growth facto r receptor mutation subtypes in non-small cell lung cancer from hematoxylin and ...)

    144-145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 Artificial Intelligenc e is the subject of a report. According to news reporting originating in Anhui, People’s Republic of China, by NewsRx journalists, research stated, “Accurate as sessment of epidermal growth factor receptor (EGFR) mutation status and subtype are critical for the treatment of non-small cell lung cancer (NSCLC) patients. C onventional molecular testing methods for detecting EGFR mutations have limitati ons.”

    Data on Machine Learning Detailed by Researchers at Chongqing University of Post s and Telecommunications (A Two-stage Feature Selection Method for Hob State Rec ognition)

    145-145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 Machine Learning are pre sented in a new report. According to news reporting originating from Chongqing, People’s Republic of China, by NewsRx correspondents, research stated, “In mecha nical field, tool state seriously affects the production quality and efficiency. Recently, machine learning is an important technique to realize tool state reco gnition.” Financial support for this research came from National Natural Science Foundatio n of China (NSFC).

    Study Findings from Indian Institute of Technology (IIT) Kharagpur Provide New I nsights into Machine Learning (Subnetwork Prediction Approach for Aircraft Sched ule Recovery)

    146-146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 Machine Learning is now available. According to news reporting originating from Kharagpur, India, by Ne wsRx correspondents, research stated, “The combinatorial optimization techniques for the aircraft schedule recovery problem are too expensive to compute. Howeve r, we require a reasonable solution within 1-2 min for real -time application.”

    Investigators at Changsha University of Science and Technology Report Findings i n Machine Learning (Machine Learning-based Study On the Mechanical Properties an d Embankment Settlement Prediction Model of Nickel-iron Slag Modified Soil)

    147-148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 Machine Learn ing have been published. According to news reporting originating from Hunan, Peo ple’s Republic of China, by NewsRx correspondents, research stated, “Nickel-iron slag, a byproduct of industrial processes in China with an annual production ex ceeding 400,000 tons, is considered an industrial waste material. This study foc uses on the rational utilization of nickel-iron slag by investigating its mechan ical properties and road performance as a roadbed fill material.” Financial supporters for this research include National Natural Science Foundati on of China (NSFC), Open Fund of Key Laboratory of Special Environ-ment Road Eng ineering of Hunan Province (Changsha University of Science Technology).

    Investigators from Peking University Have Reported New Data on Machine Learning (Machine Learning Based Nonlocal Kinetic Energy Density Functional for Simple Me tals and Alloys)

    147-147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 Machine Learn ing have been published. According to news reporting originating in Beijing, Peo ple’s Republic of China, by NewsRx journalists, research stated, “Developing an accurate kinetic energy density functional (KEDF) remains a major hurdle in orbi tal -free density functional theory. We propose a machine -learning -based physi cal -constrained nonlocal (MPN) KEDF and implement it with the usage of the bulk -derived local pseudopotentials and plane wave basis sets in the ABACUS package .”

    Findings from Beihang University Reveals New Findings on Robotics and Automation (Flying In Narrow Spaces: Prioritizing Safety With Disturbance-aware Control)

    149-149页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Robotics - Roboti cs and Automation are discussed in a new report. According to news reporting ori ginating in Beijing, People’s Republic of China, by NewsRx journalists, research stated, “Safe and autonomous flight of quadrotors in enclosed environments stil l remains formidable challenge due to the aerodynamic proximity effect and restr icted free space. This letter develops an integrated planning and control archit ecture for disturbance-aware and safety control of quadrotors.” Financial support for this research came from National Key R&D Prog ram of China.