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    Reports Summarize Machine Learning Research from Massachusetts Institute of Tech nology (A scalable adaptive sampling approach for surrogate modeling of rigid pa vements using machine learning)

    48-48页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News ; New research on artificial intelligenc e is the subject of a new report. According tonews reporting originating from C ambridge, Massachusetts, by NewsRx correspondents, research stated,“Rigid pavem ent design is a high-dimensional optimization problem, involving several variabl es anddesign considerations. The existing machine learning (ML) design models a re either low-dimensional orless accurate than computational simulations.”Financial supporters for this research include University of Pittsburgh.

    Studies from Anhui University Update Current Data on Computational Intelligence (Causal Feature Selection With Imbalanced Data)

    49-49页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews ; Current study results on Machine Learning - Compu tational Intelligence have been published.According to news reporting from Anhu i, People’s Republic of China, by NewsRx journalists, researchstated, “Causal f eature selection as an emerging topic has drawn increasing attention in the fiel d ofcausal discovery and machine learning. However, existing causal feature sel ection algorithms do notconsider the class imbalance problem, thus affecting th e accuracy of measuring relationships between theclass variable and the feature s with imbalanced data.”

    Study Results from Wuhan Textile University Update Understanding of Robotics (Ro bust PI Control for Lower Limb Exoskeleton Robot Based on the Moth Flame Optimiz ation Algorithm)

    50-51页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews ; Investigators publish new report on robotics. Acc ording to news originating from Hubei, People’sRepublic of China, by NewsRx cor respondents, research stated, “The purpose of this paper is to apply anintellig ent algorithm to conduct the torque tracking control for lower limb exoskeleton robot driven by anelectro-hydraulic servo system (EHSS).”Funders for this research include National Natural Science Foundation.

    New Artificial Intelligence Study Findings Have Been Reported from Beihang Unive rsity (AttentionTTE: a deep learning model for estimated time of arrival)

    50-50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 Beijing, People’s Republic of China, by NewsRx editors, research stated, “Estimating traveltime (ETA) for arbitrary paths is crucial in urban intelligent transportation systems .”Our news journalists obtained a quote from the research from Beihang University: “Previous studiesprimarily focus on constructing complex feature systems for i ndividual road segments or sub-segments,which fail to effectively model the inf luence of each road segment on others. To address this issue, wepropose an end- to-end model, AttentionTTE. It utilizes a self-attention mechanism to capture gl obalspatial correlations and a recurrent neural network to capture temporal dep endencies from local spatialcorrelations. Additionally, a multi-task learning m odule integrates global spatial correlations and temporaldependencies to estima te the travel time for both the entire path and each local path.”

    Investigators at University of Pittsburgh Report Findings in Machine Learning (P erformance of Unmarked Abundance Models With Data From Machine-learning Classifi cation of Passive Acoustic Recordings)

    51-52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 fromPittsburgh, Pennsylvania, by NewsRx journalists, research stated, “The ability to conduct cost-effectivewildlife m onitoring at scale is rapidly increasing due to the availability of inexpensive autonomous recordingunits (ARUs) and automated species recognition, presenting a variety of advantages over human-basedsurveys. However, estimating abundance with such data collection techniques remains challenging becausemost abundance models require data that are difficult for low-cost monoaural ARUs to gather (e. g.,counts of individuals, distance to individuals), especially when using the o utput of automated speciesrecognition.”

    Research on Robotics Reported by Researchers at University Putra Malaysia (Devel opment of an Improved GWO Algorithm for Solving Optimal Paths in Complex Vertica l Farms with Multi-Robot Multi-Tasking)

    52-53页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews ; A new study on robotics is now available. Accordi ng to news originating from Selangor, Malaysia,by NewsRx correspondents, resear ch stated, “As the global population grows, achieving Zero Hunger by2030 presen ts a significant challenge.”

    New Findings Reported from Indian Institute of Technology (IIT) Kanpur Describe Advances in Machine Learning (Combining Evolutionary Computation With Machine Le arning Technique for Improved Short-term Prediction of Ut1-utc and Length-of-day)

    53-54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 Machine Learn ing have been published. According tonews reporting originating from Kanpur, In dia, by NewsRx correspondents, research stated, “Over theyears, prediction tech niques for the highly variable angular velocity of the Earth represented by Earth’s rotation (UT1-UTC) and length-of-day (LOD) have been continuously improved. This is becausemany applications like navigation, astronomy, space exploration, climate studies, timekeeping, disastermonitoring, and geodynamic studies, all rely on predictions of these Earth rotation parameters.”

    New Artificial Intelligence Study Findings Have Been Reported from Central Luzon State University (The dignity of work and the challenge of artificial intelligence)

    54-55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 from Central Luzon State University by NewsRx journalists, research stated, “The Social Teachingsof the Church define work as a ‘human act’ (opus humanum), an ‘arduous good’ (bonum ar duum),and an expression of the intrinsic value and dignity of the human person.”

    Menoufia University Researchers Publish Findings in Artificial Intelligence (Con nected smart elevator systems for smart power and time saving)

    55-56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 Menoufi a University by NewsRx correspondents, research stated, “Smart elevatorsprovide substantial promise for time and energy management applications by utilizing cu tting edge artificialintelligence and image processing technology. In order to improve operating efficiency, this project designsan elevator system that uses the YOLO model for object detection.”

    Sorbonne Universite Reports Findings in Machine Learning (Evaluation of Machine Learning Algorithms for Pressure Injury Risk Assessment in a Hospital with Limit ed IT Resources)

    56-57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 reportingoriginating in Paris, France, by NewsRx journalists, research stated, “Clinical decision support systemsfor Nursing Pro cess (NP-CDSSs) help resolve a critical challenge in nursing decision-making thr oughautomating the Nursing Process. NP-CDSSs are more effective when they are l inked to Electronic MedicalRecord (EMR) Data allowing for the computation of Ri sk Assessment Scores.”