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    Studies from Gansu Agricultural University Update Current Data on Intelligent Sy stems (Reparameterized Underwater Object Detection Network Improved By Cone-rod Cell Module and Wiou Loss)

    78-78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 - Inte lligent Systems is now available. According tonews reporting originating from G ansu, People’s Republic of China, by NewsRx correspondents, researchstated, “To overcome the challenges in underwater object detection across diverse marine en vironmentsmarkedby intricate lighting, small object presence, and camouflage-w e propose an innovative solutioninspired by the human retina’s structure. This approach integrates a cone-rod cell module to counteractcomplex lighting effect s and introduces a reparameterized multiscale module for precise small object feature extraction.”

    Recent Findings from West Anhui University Provides New Insights into Machine Le arning (A Stacking Ensemble Model for Predicting Soil Organic Carbon Content Bas ed On Visible and Near-infrared Spectroscopy)

    79-79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 out of Lu’an, People’s Republ ic of China, by NewsRx editors, research stated, “The content ofsoil organic ca rbon (SOC) plays an important role in maintaining ecosystem functions, protectin g soilbiodiversity, and understanding carbon cycling processes. The combination of visible and near -infraredspectroscopy (VIS -NIRS) and machine learning can achieve rapid prediction of SOC content.”

    Taiyuan University of Science and Technology Researchers Discuss Findings in Int elligent Systems (EMC+GD_C: circle-based enhanced motion consistenc y and guided diffusion feature matching for 3D reconstruction)

    80-80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 intelligent systems. According to news originatingfrom Taiyuan University of Sc ience and Technology by NewsRx correspondents, research stated, “Robustmatching , especially the number, precision and distribution of feature point matching, d irectly affects theeffect of 3D reconstruction.”

    Findings from National Technical University of Athens Provides New Data about Ro botics (Distributed Control of a Mobile Robot Multiagent System for Nash Equili brium Seeking With Sampled Neighbor Information)

    81-82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 originating from Athens, Greece, by NewsRx correspon dents, research stated, “In this paper, we consider the distributedcontrol desi gn problem for Nash equilibrium (NE) seeking of a multi -agent mobile robot syst em usingonly sampled neighbor measurements. To this end, we define new continuo usly differentiable variables,the so-called S-GRANE variables, that smoothly in corporate the sampled neighbor information within asampling period.”

    New Machine Learning Research from University of Maryland Outlined (Learning fro m models: high-dimensional analyses on the performance of machine learning inter atomic potentials)

    81-81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 artificial intelligence. According to news originatingfrom the University of Ma ryland by NewsRx correspondents, research stated, “Machine learning interatomicpotential (MLIP) has been widely adopted for atomistic simulations.”

    Reports from University of Paris Saclay Describe Recent Advances in Robotics (Co ntinuous Online Semantic Implicit Representation for Autonomous Ground Robot Nav igation in Unstructured Environments)

    82-83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 out ofPalaiseau, France, by NewsRx editor s, research stated, “While mobile ground robots have now the physicalcapacity o f travelling in unstructured challenging environments such as extraterrestrial s urfaces ordevastated terrains, their safe and efficient autonomous navigation h as yet to be improved before entrustingthem with complex unsupervised missions in such conditions.”

    New Machine Learning Study Findings Recently Were Reported by Researchers at Eas t China Normal University (Capturing the Net Ecosystem Co2 Exchange Dynamics of Tidal Wetlands With High Spatiotemporal Resolution By Integrating Process-based and ...)

    83-84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 Shanghai, People’s Republic of China, by NewsRx journalists, research stated, “Accurate estimation ofthe net ecosystem CO2 exchange (NEE) at regional scales is of great significance for stu dying the carbonsink potential of coastal wetland ecosystems and their response s to global climate change. However, currentNEE estimation methods are mainly d eveloped for terrestrial ecosystems and are therefore unsuitable forNEE estimat ion with high spatiotemporal resolution estimation in coastal wetlands subjected to sub-dailytidal flooding.”

    Data on Robotics Detailed by Researchers at Nanjing University of Aeronautics an d Astronautics (Magnetorheological Elastomer Absorber-based Chatter Suppression In Robotic Milling)

    84-85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 reportingoriginating from Nanjing, People’s Republic of China, by NewsRx correspondents, research stated, “Asintelligent an d automated technology continues to rapidly advance in aerospace, industrial rob ots havebeen becoming a powerful alternative to machine tools in milling proces ses. However, due to their lowstiffness, robots are susceptible to the self-exc ited chatter during milling, leading to machining failures oreven workpiece bre akages.”

    Monash University Malaysia Reports Findings in Machine Learning (Patient-ventila tor asynchrony classification in mechanically ventilated patients: Model-based o r machine learning method?)

    85-86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 Selangor, Mala ysia, by NewsRx journalists, research stated, “Patient-ventilatorasynchrony (PV A) is associated with poor clinical outcomes and remains under-monitored. Automa tedPVA detection would enable complete monitoring standard observational method s do not allow.”

    Shandong First Medical University (Shandong Academy of Medical Sciences) Reports Findings in Machine Learning (Radiomics based on multiple machine learning meth ods for diagnosing early bone metastases not visible on CT images)

    87-87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 newsoriginating from Tai’an, People’s Repub lic of China, by NewsRx correspondents, research stated, “Thisstudy utilizes [Tc]-methylene diphosphate (MDP) single photon emission comput ed tomography (SPECT)images as a reference standard to evaluate whether the int egration of radiomics features from computedtomography (CT) and machine learnin g algorithms can identify microscopic early bone metastases. Additionally,we al so determine the optimal machine learning approach.”