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    Reports on Robotics from Chinese Academy of Sciences Provide New Insights (Artif icial Lateral Line Sensor for Robotic Fish Speed Measurement Based On Surface Fl ow Field Detection and Turbulence Noise Suppression)

    1-2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. According to news originating fromBeijing, People’s Republic of China, by NewsRx correspondents, research stated, “Compared with traditionalunderwater vehicles, robotic fish have been receiving increasing attention in recent years due totheir excellent maneuverability. However, the characteristics of fishlik e undulatory motions and complexunderwater working environment have posed signi ficant challenges to robotic fish speed measurement,limiting their autonomy.”

    Data from Pennsylvania State University (Penn State) Advance Knowledge in Machin e Learning (Latent space representation method for structural acoustic assessmen ts)

    2-3页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New study results on artificial intell igence have been published. According to newsreporting out of State College, Pe nnsylvania, by NewsRx editors, research stated, “When targeting structuralacous tic objectives, engineering practitioners face epistemic uncertainties in the se lection of optimalgeometries and material distributions, particularly during ea rly stages of the design process.”

    Geological Survey of Denmark and Greenland Reports Findings in Machine Learning (Modeling groundwater redox conditions at national scale through integration of sediment color and water chemistry in a machine learning framework)

    3-4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 Copenhagen, Denmark, by NewsRx correspondents, research stated, “Redoxconditions play a cru cial role in determining the fate of many contaminants in groundwater, impactingecosystem services vital for both the aquatic environment and human water suppl y. Geospatial machinelearning has previously successfully modelled large-scale redox conditions.”

    Researcher at Northeastern University Releases New Study Findings on Robotics (Research on Mobile Robot Navigation Method Based on Semantic Information)

    4-5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 have been pr esented. According to news reporting outof Shenyang, People’s Republic of China , by NewsRx editors, research stated, “This paper proposes asolution to the pro blem of mobile robot navigation and trajectory interpolation in dynamic environm entswith large scenes.”

    Study Data from Wuhan Institute of Technology Provide New Insights into Machine Learning (Boosting Computational Thermodynamic Analysis of the Cvd of Sic Coatin g Via Machine Learning)

    5-5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 Ma chine Learning. According to news reportingfrom Wuhan, People’s Republic of Chi na, by NewsRx journalists, research stated, “Although thermodynamicanalysis pro vides the possibility to perform a full-range study on the chemical vapor deposi tion(CVD) of SiC, billions of calculations are required to achieve a high-resol ution study for such a highdimensionalspace. Similar issues are also encountere d for other materials modeling and simulation techniques.”

    Findings from Biomedical University of Rome Reveals New Findings on Machine Lear ning (Fully Additively 3d Manufactured Conductive Deformable Sensors for Pressur e Sensing)

    6-6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. According tonews reporting originating from Rome , Italy, by NewsRx correspondents, research stated, “Additive manufacturingtech nologies increasingly revolutionize current production techniques for object man ufacturing.Particularly, fused deposition modeling (FDM) strongly impacts produ ction processes by enabling thecost-effective and efficient creation of structu res with complex designs and innovative geometries.”

    Beijing Institute of Technology Reports Findings in Machine Learning (Synthesis of Sulfonated Phenylsilsesquioxanes Guided by Machine Learning)

    7-7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 Beijing, People’s Repu blic of China, by NewsRx correspondents, research stated, “Sulfonatedoctaphenyl silsesquioxane (SPOSS) has garnered significant interest due to its unique struc turalproperties of containing the -SOH group and its wide range of applications . This study introduces a novelapproach to the synthesis of SPOSS, leveraging m achine learning algorithms to explore new recipes andachieve higher -SOH functi onality.”

    Reports Outline Artificial Intelligence Study Findings from Heilongjiang Univers ity (Heterogeneous Data-aware Federated Learning for Intrusion Detection Systems Via Meta-sampling In Artificial Intelligence of Things)

    8-8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 reportingfrom Harbin, People’s Repub lic of China, by NewsRx journalists, research stated, “Intrusion detectionsyste ms (IDSs) integrated with machine learning (ML) techniques have proven to be eff ective defensesagainst the increasing cybersecurity attacks in the Artificial I ntelligence of Things (AIoT) domain. Privacyconcerns have prompted the emergenc e of federated learning (FL) as a promising solution for AIoTintrusion detectio n.”

    Findings on Robotics Reported by Investigators at Harbin Institute of Technology (Reorientation and Obstacle Avoidance Control of Free-floating Modular Robots U sing Sinusoidal Oscillator)

    9-9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 reportingfrom Harbin, People’s Republic of Ch ina, by NewsRx journalists, research stated, “This paper presentsthat a serpent ine curve-based controller can solve locomotion control problems for articulated space robotswith extensive flight phases, such as obstacle avoidance during fr ee floating or attitude adjustment beforelanding. The proposed algorithm achiev es articulated robots to use closed paths in the joint space toaccomplish the a bove tasks.”

    Fudan University Reports Findings in Squamous Cell Carcinoma (Metabolism score a nd machine learning models for the prediction of esophageal squamous cell carcin oma progression)

    10-10页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Oncology - Squamous Ce ll Carcinoma is the subject of a report.According to news originating from Shan ghai, People’s Republic of China, by NewsRx correspondents,research stated, “Th e incomplete prediction of prognosis in esophageal squamous cell carcinoma (ESCC )patients is attributed to various therapeutic interventions and complex progno stic factors. Consequently,there is a pressing demand for enhanced predictive b iomarkers that can facilitate clinical management andtreatment decisions.”