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    Studies from Texas A&M University Update Current Data on Machine Le arning (A Machine Learning-based Hybrid Model for Fracture Parameterization and Distribution Prediction In Unconventional Reservoirs)

    20-21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 College Station, T exas, by NewsRx correspondents, research stated, “The understandingof fracture distributions plays a critical role in managing fractured reservoirs as they gov ern earlywater/CO2 breakthrough, impact sweep efficiency, and determine product ion behaviors. However, traditionalsimulation-based approaches, such as history matching, encounter significant difficulties in accuratelypredicting fracture distributions.”

    New Robotics Findings from University of Jinan Discussed (Distributed Dynamic Ta sk Allocation for Moving Target Tracking of Networked Mobile Robots Using K-wta Network)

    21-22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 newsreporting originating in Guangzhou, Peo ple’s Republic of China, by NewsRx journalists, research stated,“Tasks allocati on plays a pivotal role in cooperative robotics. This study proposes a novel ful ly distributedtask allocation method for target tracking, by which mobile robot s only need to share state informationwith communication neighbors.”

    Tongji University School of Medicine Reports Findings in Crohn’s Disease (Predic ting short-term major postoperative complications in intestinal resection for Cr ohn’s disease: A machine learningbased study)

    22-23页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Digestive System Disea ses and Conditions - Crohn’s Disease is thesubject of a report. According to ne ws reporting out of Shanghai, People’s Republic of China, by NewsRxeditors, res earch stated, “Due to the complexity and numerous comorbidities associated with Crohn’sdisease (CD), the incidence of postoperative complications is high, sign ificantly impacting the recoveryand prognosis of patients. Consequently, additi onal studies are required to precisely predict short-termmajor complications fo llowing intestinal resection (IR), aiding surgical decision-making and optimizin gpatient care.”

    New Machine Learning Research from Fu Jen University Outlined (A Preliminary Stu dy of Model-Generated Speech)

    23-23页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on artificial intell igence are discussed in a new report. According tonews originating from Fu Jen University by NewsRx editors, the research stated, “The goal of this studywas t o compare model-generated sounds with the process of sound acquisition in humans .”

    Investigators at Shenzhen University Discuss Findings in ComputationalIntellige nce (Oci-ssl: Open Class-imbalanced Semisupervised Learning With Contrastive Le arning)

    24-24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 - Compu tational Intelligence are presented in a newreport. According to news reporting originating in Shenzhen, People’s Republic of China, by NewsRx journalists,res earch stated, “Semi-supervised learning (SSL) is a powerful technique that lever ages unlabeleddata to improve model performance. Conventional SSL algorithms ge nerally make the assumption thatthe unlabeled data are derived from approximate ly balanced known classes.”

    Research Results from Shanghai Jiao Tong University Update Understandingof Robo tics (An Integrated Approach to Precedence-Constrained Multi-Agent Task Assignme nt and Path Finding for Mobile Robots in Smart Manufacturing)

    25-26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 originatingfrom Shanghai, People’s Republic o f China, by NewsRx correspondents, research stated, “Mobile robotsplay an impor tant role in smart factories, though efficient task assignment and path planning for theserobots still present challenges.”

    Studies from Liverpool John Moores University Further Understanding of Machine L earning (Machine Learning Practices During The Operational Phase of Buildings: A Critical Review)

    25-25页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on artificial intelligence are presented in a new report. According to newsreporting originating from Mers eyside, United Kingdom, by NewsRx correspondents, research stated,“Machine Lear ning (ML) is gaining attention in civil engineering especially within operationa l phase ofbuilding life cycle.”

    Studies from McGill University in the Area of Robotics and Automation Reported ( Laser-to-vehicle Extrinsic Calibration In Lowobservability Scenarios for Subsea Mapping)

    26-27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 Ro botics - Robotics and Automation. According tonews reporting originating from M ontreal, Canada, by NewsRx correspondents, research stated, “Laser linescanners are increasingly being used in the subsea industry for high-resolution mapping and infrastructureinspection. However, calibrating the 3D pose of the scanner r elative to the vehicle is a perennial sourceof confusion and frustration for in dustrial surveyors.”

    Studies from Tianjin University in the Area of Computational Intelligence Descri bed (Unsupervised Low-light Image Enhancement Via Luminance Mask and Luminance-I ndependent Representation Decoupling)

    27-28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 - Computational Intelligence.According to news reporting out o f Tianjin, People’s Republic of China, by NewsRx editors, research stated,“Enha ncing low-light images in an unsupervised manner has become a popular topic due to the challengeof obtaining paired real-world low/normal-light images. Driven by massive available normal-light images,learning a low-light image enhancement network from unpaired data is more practical and valuable.”

    Reports Outline Machine Learning Study Results from School of Computer and Infor mation Engineering (A Text Classification Network Model Combining Machine Learni ng and Deep Learning)

    28-29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 Nantong, People’s Republic of China, by NewsRx correspondents, research stated, “Textclassificati on is significant in natural language processing tasks, which can deal with a la rge amountof data scientifically. However, for text feature extraction, it is n ot easy to simultaneously consider thecharacteristics of short and long texts.”