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

    New Machine Learning Findings Reported from Chinese Academy of Sciences (Machine Learning - Assisted Prediction of Yield Strength In Irradiated Type 316 Stainle ss Steels)

    57-58页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Machine Learning are pre sented in a new report. According to newsoriginating from Hefei, People’s Repub lic of China, by NewsRx correspondents, research stated, “Theinvestigation into irradiation hardening and embrittlement is of critical importance in nuclear ma terial subject. This work explores the applications of machine learning (ML) to predict the yield strength ofirradiated type 316 stainless steels.”

    Findings in the Area of Field Robotics Reported from La Trobe University (Tracto r Mounted Grapevine Pruning System)

    57-57页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on Robotics - Field Robo tics have been presented. According tonews reporting originating in Bendigo, Au stralia, by NewsRx journalists, research stated, “The pruning ofgrapevines is e ssential in managing and ensuring high-quality fruit yields. This task tradition ally requiresa lot of labor and time to perform, which, given labor shortages, can significantly impact crop yield if it isnot completed.”

    Investigators at Beijing University of Posts and Telecommunications Report Findi ngs in Robotics (Vtg: a Visual-tactile Dataset for Three-finger Grasp)

    58-59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 Robotics have been published. According to news originatingfrom Beijing, People’s Republic o f China, by NewsRx correspondents, research stated, “Three-fingeredhands can of fer more contact points and flexible fingertip configurations, enabling complex grasping modesand finer manipulations for objects of various shapes and sizes. However, existing research on visual-tactileintegrated robotic grasping primari ly focuses on grippers, and lacks a general dataset merging visual andtactile I nformation for the entire grasping process.”

    Chinese Academy of Sciences Reports Findings in Machine Learning(Reducing cadmi um and arsenic accumulation in rice grains: Thecoupled effect of sulfur’s bioma ss dilution and soil immobilization analyzed using meta-analysis and machine lea rning)

    59-60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 Nanjing, Peopl e’s Republic of China, by NewsRx journalists, research stated, “Thebiogeochemic al cycling of sulfur (S) in paddy soil influences cadmium (Cd) and arsenic (As) migration.However, the impact of S application on Cd and As within the soil-ric e system has not been fully explored.”

    New Robotics and Automation Study Findings Have Been Reportedby Investigators a t Dalian University of Technology (Cross-category Functional Grasp Transfer)

    60-61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 - Robotics and Automation. According tonews reporting originating from Dalian , People’s Republic of China, by NewsRx correspondents, researchstated, “Genera ting grasps for a dexterous hand often requires numerous grasping annotations. H owever,annotating high DoF dexterous hand poses is quite challenging.”

    Wuhan University Reports Findings in Machine Learning (SAR imageintegration for multi-temporal analysis of Lake Manchar Wetland dynamics using machine learning )

    61-62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 Wuhan, Peopl e’s Republic of China, by NewsRx correspondents, research stated,“The Manchar L ake wetland complex, Pakistan’s largest freshwater-lake, faces unprecedented eco logicalchallenges amidst climate change and human pressures, necessitating urge nt, data-driven conservationstrategies. This study employs cutting-edge multi-s ensor remote sensing techniques to quantify and analyzethe dynamic changes in t his critical ecosystem from 2015 to 2023, aiming to provide a comprehensiveunde rstanding of wetland dynamics for informed management decisions.”

    Researchers from Beijing Institute of Technology Discuss Findings in Artificial Intelligence (Smart Energy Management for Hybrid Electric Bus Via Improved Soft Actor-critic Algorithm In a Heuristic Learning Framework)

    62-63页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators publish new report on Artificial In telligence. According to news reporting fromBeijing, People’s Republic of China , by NewsRx journalists, research stated, “Deep reinforcement learning(DRL) is currently the cutting-edge artificial intelligence approach in the field of ener gy management forhybrid electric vehicles. However, inefficient offline trainin g limits the energy-saving efficacy of DRL-basedenergy management strategies (E MSs).”

    Investigators from University of Padua Release New Data on MachineLearning (A M achine Learning Framework To Generate Star Cluster Realisations)

    63-64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 Machine Learning. According to news reporting outof Padua, Italy, by NewsRx editors, r esearch stated, “Computational astronomy has reached the stagewhere running a g ravitational N-body simulation of a stellar system, such as a Milky Way star clu ster, iscomputationally feasible, but a major limiting factor that remains is t he ability to set up physically realisticinitial conditions. We aim to obtain r ealistic initial conditions for N-body simulations by taking advantageof machin e learning, with emphasis on reproducing small-scale interstellar distance distr ibutions.”

    Findings from Roswell Park Cancer Institute in the Area of Artificial Intelligen ce Described (Early Experience With an Artificial Intelligence-based Module for Brain Metastasis Detection and Segmentation)

    64-65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 Buffalo,New York, by NewsRx correspo ndents, research stated, “Accurate detection, segmentation, and volumetricanaly sis of brain lesions are essential in neuro-oncology. Artificial intelligence (A I)-based models haveimproved the efficiency of these processes.”

    Findings in Machine Learning Reported from Xiangtan University(Development and Application of Few-shot Learning Methods In Materials Science Under Data Scarcit y)

    65-66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 reportingoriginating in Hunan, People’s Rep ublic of China, by NewsRx journalists, research stated, “Machinelearning, as a significant branch of artificial intelligence, has provided effective guidance f or materialdesign by establishing virtual mappings between data and desired fea tures, thereby reducing the cycleof material discovery and synthesis. However, the application of machine learning in materials science ishindered by data sca rcity.”