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

    Studies from Hunan University in the Area of Machine Learning Reported (Ensemble Learning Method for Classification: Integrating Data Envelopment Analysis With Machine Learning)

    86-87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 Chan gsha, People’s Republic of China, by NewsRx correspondents,research stated, “In classification tasks with large sample sets, the use of a single classifier car ries the riskof overfitting. To overcome this issue, an ensemble of classifier models has often been shown to outperformthe use of a single ‘best’ model.”

    New Findings on Robotics Described by Investigators at University of Toronto (Re storing Connectivity In Robotic Swarms - a Probabilistic Approach)

    87-88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 originatingfrom Toronto, Canada, by NewsR x correspondents, research stated, “Connectivity is an integral traitfor swarm robotic systems to enable effective collaboration between the robots in the swar m. However,connectivity can be lost due to events that could not have been a pr iori accounted for.”

    Studies from State University of Campinas (UNICAMP) in the Area of Machine Learn ing Described [Portable Near Infrared (Nir) Spectrometer Coup led With Machine Learning To Classify Milk With Subclinical Mastitis]

    88-89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 Machine Learning is now available. According to news reporting out ofCampinas, Brazil, by NewsRx edito rs, research stated, “Milk is one of the traditional foods in the humandiet. Ho wever, subclinical mastitis infection in cows could compromise the nutritional c omposition ofmilk as well as the consumer safety.”

    Data from North University of China Provide New Insights into Robotics (Reinforc ement Learning Path Planning Method Incorporating Multi-step Hindsight Experienc e Replay for Lightweight Robots)

    89-90页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - New research on Robotics is the subject of a repo rt. According to news reporting from Taiyuan,People’s Republic of China, by New sRx journalists, research stated, “Home service robots prioritize costeffectiveness and convenience over the precision required for industrial tasks like auton omous driving,making their task execution more easily. Meanwhile, path planning tasks using Deep Reinforcement Learning(DRL) are commonly sparse reward problem s with limited data utilization, posing challenges in obtainingmeaningful rewar ds during training, consequently resulting in slow or challenging training.”

    Recent Research from King’s College London Highlight Findings in Robotics (Inter ference Aware Path Planning for Mobile Robots Under Joint Communication and Sens ing In Mmwave Networks)

    90-91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 originatingfrom London, United Kingdom, b y NewsRx correspondents, research stated, “The beyond fifth-generation(B5G) and emerging sixth-generation (6G) wireless networks are considered as key enablers in supporting adiversified set of applications for industrial mobile robots (M Rs). In this paper, we consider mobile robotsthat autonomously roam on an indus trial floor and perform a variety of tasks at different locations, whilstutiliz ing high directivity beamformers in millimeter wave (mmWave) small cells for joi nt communicationand sensing.”

    Research Conducted at Shanghai Jiao Tong University Has Provided New Information about Robotics (A Contact Sensor-free Framework for Ground Reaction Force Obser vation In Heavy-legged Robots Considering Unknown Loads)

    91-92页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Fresh data on Robotics are presented i n a new report. According to news reportingout of Shanghai, People’s Republic o f China, by NewsRx editors, research stated, “As a direct response torobot move ments and load distributions, the ground reaction force (GRF) is pivotal for hea vy -legged robot(HLR) applications. This study presents a technical framework f or GRF monitoring in an electric cylinder-driven HLR, eliminating the need for information on body motion, load distributions, and measured servooutputs.”

    Findings in the Area of Machine Learning Reported from Hefei University of Techn ology (High-accuracy Dynamic Target Detection Through Low-readout Channel Thermo pile Infrared Array Detector Enhanced By Machine Learning Techniques)

    92-93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 Machine Learning. According to news reportingfrom Anhui, People’s Republic of C hina, by NewsRx journalists, research stated, “Infrared (IR) detector,due to it s low cost, high sensitivity, and broad spectral response, has been extensively utilized in real-timedynamic target detection. In this study, a noncontact dyna mic detection system, combining microelectromechanicalsystems (MEMS) 4x 8 therm opile IR array detector with machine learning techniques wasproposed, achieving real-time and high-accuracy target detection.”

    Studies from Longdong University in the Area of Machine Learning Reported (A Nov el Study On Power Consumption of an Hvac System Using Catboost and Adaboost Algo rithms Combined With the Metaheuristic Algorithms)

    93-94页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - New research on Machine Learning is the subject o f a report. According to news originatingfrom Qingyang, People’s Republic of Ch ina, by NewsRx correspondents, research stated, “Efficient powermanagement is f undamental for organizations and systems to conserve resources, reduce costs, an dimprove environmental sustainability. To achieve the mentioned purposes, it is vital to perceive powerconsumption patterns and trends to make informed decisi ons about energy usage.”

    New Machine Learning Findings from China Jiliang University Described (Machine L earning for Full Lifecycle Management of Lithium-ion Batteries)

    94-95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 in Hangzhou, Peop le’s Republic of China, by NewsRx journalists, research stated,“Developing adva nced battery materials, monitoring and predicting the health status of batteries , andeffectively managing retired batteries are crucial for accelerating the cl osure of the whole industrial chainof power lithiumion batteries for electric v ehicles. Machine learning technology plays a vital role inthe research, product ion, service, and retirement of lithium-ion batteries due to its robust learning andpredictive capabilities.”

    Centre Francois Baclesse Reports Findings in Machine Learning (Machine learning and deep learning prediction of patient specific quality assurance in breast IMR T radiotherapy plans using Halcyon specific complexity indices)

    95-96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 in Caen, France, by NewsRx journalists, research stated, “New radiotherapy machinessuch as Halcy on are capable of delivering dose-rate of 600 monitor-units per minute, allowing largenumbers of patients treated per day. However, patient-specific quality as surance (QA) is still required,which dramatically decrease machine availability .”