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    New Computational Intelligence Data Have Been Reported by Investigators at South east University (Distillation-based Domain Generalization for Cross-dataset Eeg- based Emotion Recognition)

    39-40页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learn ing - Computational Intelligence have been published. According to news reportin g from Nanjing, People’s Republic of China, by NewsRx journalists, research stat ed, “Electroencephalogram (EEG)-based emotion recognition has gradually become a research hotspot with extensive real-world applications. Differences in EEG sig nals across subjects usually lead to the unsatisfactory performance in subject-i ndependent emotion recognition.”

    Reports from University College Cork Add New Data to Findings in Machine Learnin g (Road Pavement Health Monitoring System Using Smartphone Sensing With a Two-st age Machine Learning Model)

    40-40页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Machine Learning have been presented. According to news reporting out of Cork, Ireland, by NewsRx edi tors, research stated, “Drive-by road pavement monitoring, using smartphone sens ing, has faced longstanding challenges in adoption due to low accuracy and limit ed applicability. This stems from significant uncertainties during data collecti on in real-world scenarios, making it prohibitively difficult in applying conven tional machine learning models to the detection of road pavement anomalies.”

    Study Data from Zhejiang University Update Understanding of Robotics and Automat ion (Somtp: a Self-supervised Learningbased Optimizer for Mpc-based Safe Trajec tory Planning Problems In Robotics)

    41-42页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Fresh data on Robotics - Robotics and Automation are presented in a new report. According to news originating from Hangzhou, Peop le’s Republic of China, by NewsRx correspondents, research stated, “Model Predic tive Control (MPC)-based trajectory planning has been widely used in robotics, a nd incorporating Control Barrier Function (CBF) constraints into MPC can greatly improve its obstacle avoidance efficiency. Unfortunately, traditional optimizer s are resource-consuming and slow to solve such non-convex constrained optimizat ion problems (COPs) while learning-based methods struggle to satisfy the non-con vex constraints.”

    New Machine Learning Study Results from Argonne National Laboratory Described (M achine Learning Models and Dimensionality Reduction for Prediction of Polymer Pr operties)

    41-41页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on Machine Learning are pre sented in a new report. According to news reporting originating from Lemont, Ill inois, by NewsRx correspondents, research stated, “Accurate prediction of block polymer properties as a function of monomer sequence is necessary for better mat erial development. The number of permutations of chemistry and sequence is nearl y infinite, and new methods are needed to predict and engineer properties as a f unction of molecular structure.” Funders for this research include United States Department of Energy (DOE), Unit ed States Department of Energy (DOE).

    Data on Robotics and Machine Learning Reported by Researchers at Shandong Normal University (Fcos-eam: an Accurate Segmentation Method for Overlapping Green Fru its)

    42-43页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Robotics and Machine Le arning is now available. According to news reporting from Jinan, People’s Republ ic of China, by NewsRx journalists, research stated, “Accurate fruit detection a nd segmentation based on deep learning is the key to successful harvesting robot operations, but the complex background of orchards, light and branch shading, a nd fruit overlap lead to low detection and segmentation accuracy and high comple xity of existing methods. To address these problems, an improved green fruit seg mentation method based on FCOS is proposed in this study.”

    Researchers from University of Twente Describe Findings in Robotics (Safe and Ro bust Planning for Uncertain Robots: a Closed-loop State Sensitivity Approach)

    43-44页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Robotics have been published. According to news reporting out of Enschede, Netherlands, by Ne wsRx editors, research stated, “In this letter, we detail a comprehensive framew ork for safe and robust planning for robots in presence of model uncertainties. Our framework is based on the recent notion of closed-loop state sensitivity, wh ich is extended in this work to also include uncertainties in the initial state. ”

    Data on Robotics Described by a Researcher at Heriot-Watt University (Type Synth esis of a Novel Class of 1-DOF Multi-Mode Parallel Mechanisms)

    44-45页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on robotics have been published. According to news reporting out of Heriot-Watt University by Ne wsRx editors, research stated, “Multi-mode parallel mechanisms (PMs) are a class of reconfigurable mechanisms that can switch between different operation modes without the need for disconnection and reassembly.” Financial supporters for this research include Engineering And Physical Sciences Research Council.

    New Intelligent Systems Study Results Reported from Southeast University (Bi-HS- RRT $$∧\t ext {X}$$ X : an efficient samplingbased motion planning algorithm for unknown dynamic environments)

    45-46页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Data detailed on intelligent systems have been pr esented. According to news reporting originating from Southeast University by Ne wsRx correspondents, research stated, “In the field of autonomous mobile robots, sampling-based motion planning methods have demonstrated their efficiency in co mplex environments.” The news journalists obtained a quote from the research from Southeast Universit y: “Although the Rapidly-exploring Random Tree (RRT) algorithm and its variants have achieved significant success in known static environment, it is still chall enging in achieving optimal motion planning in unknown dynamic environments. To address this issue, this paper proposes a novel motion planning algorithm Bi-HS- RRT $$∧\t ext {X}$$ X , which facilit ates asymptotically optimal real-time planning in continuously changing unknown environments. The algorithm swiftly determines an initial feasible path by emplo ying the bidirectional search. When dynamic obstacles render the planned path in feasible, the bidirectional search is reactivated promptly to reconstruct the se arch tree in a local area, thereby significantly reducing the search planning ti me. Additionally, this paper adopts a hybrid heuristic sampling strategy to opti mize the planned path quality and search efficiency. The convergence of the prop osed algorithm is accelerated by merging local biased sampling with nominal path and global heuristic sampling in hyper-ellipsoid region.”

    Aalto University Researcher Details New Studies and Findings in the Area of Mach ine Learning (Leveraging Machine Learning for Advancing Circular Supply Chains: A Systematic Literature Review)

    46-47页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New study results on artificial intell igence have been published. According to news reporting out of Espoo, Finland, b y NewsRx editors, research stated, “Circular supply chains (CSCs) aim to minimiz e waste, extend product lifecycles, and optimize resource efficiency, aligning w ith the growing demand for sustainable practices.”

    New Artificial Intelligence Study Findings Recently Were Reported by Researchers at Don State Technical University (Motivation strategies for non-linguistic stu dents to learn a foreign language in the process of professional training using ...)

    47-47页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in artific ial intelligence. According to news reporting from Don State Technical Universit y by NewsRx journalists, research stated, “Digital technologies have removed all restrictions in the availability of information in a foreign language and defor med the motivation of students of non-language specialties to learn a foreign la nguage.”