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    Studies from University of Nebraska at Omaha Yield New Information about Support Vector Machines (Pattern Analysis Using Lower Body Human Walking Data To Identi fy the Gaitprint)

    172-173页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Support Vector Machine s is the subject of a report. According tonews originating from Omaha, Nebraska , by NewsRx correspondents, research stated, “All people have afingerprint that is unique to them and persistent throughout life. Similarly, we propose that pe ople havea gaitprint, a persistent walking pattern that contains unique informa tion about an individual.”Funders for this research include National Science Foundation (NSF), National In stitutes of Health(NIH) - USA, University of Nebraska Collaboration Initiative, Center for Research in Human MovementVariability at the University of Nebraska at Omaha, National Aeronautics & Space Administration (NASA),IAR PA.

    Xiamen University Reports Findings in Robotics (A Hybrid Tactile Sensor Enabling Full-bandwidth and Ultra High-sensitivity Sensing Using a Stress Regulator)

    173-173页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Robotics is the subjec t of a report. According to news reportingoriginating in Xiamen, People’s Repub lic of China, by NewsRx journalists, research stated, “The highdexterity of int elligent robots largely relies on the high-performance sensing capability of fle xible tactilesensors.”

    New Findings on Artificial Intelligence Described by Investigators at Department of Computer Applications (Advances In Artificial Intelligence for Detecting Alg orithmically Generated Domains: Current Trends and Future Prospects)

    174-174页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Current study results on Artificial Intelligence have been published. According to news reportingoriginating from Punjab, India, by NewsRx correspondents, research stated, “This comprehensive reviewnavigates the complex domain of Domain Generation Algorithms (DGAs) and their detection u sing ArtificialIntelligence (AI), revealing both opportunities and challenges i n the evolving cybersecurity landscape. AItechniques have significantly advance d DGA detection, with recent advancements in machine learning anddeep learning models demonstrating promising results.”

    Wuhan Polytechnic University Reports Findings in Robotics (Integrating subject-s pecific workspace constraint and performancebased control strategy in robot-ass isted rehabilitation)

    175-175页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Robotics is the subjec t of a report. According to news reporting fromWuhan, People’s Republic of Chin a, by NewsRx journalists, research stated, “The robot-assistive techniquehas be en widely developed in the field of neurorehabilitation for enhancement of neuro plasticity, muscleactivity, and training positivity. To improve the reliability and feasibility in this patient-robot interactivecontext, motion constraint me thods and adaptive assistance strategies have been developed to guaranteethe mo vement safety and promote the training effectiveness based on the user’s movemen t information.”

    New Machine Learning Study Results from Russian Academy of Sciences Described (T ransfer Learning for Accurate Description of Atomic Transport In Al-cu Melts)

    176-176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 reportingoriginating from Ekaterinburg, Russi a, by NewsRx correspondents, research stated, “Machine learninginteratomic pote ntials (MLIPs) provide an optimal balance between accuracy and computational eff iciencyand allow studying problems that are hardly solvable by traditional meth ods. For metallic alloys, MLIPsare typically developed based on density functio nal theory with generalized gradient approximation (GGA)for the exchange-correl ation functional.”

    Researchers at SRM Institute of Science and Technology Report New Data on Machin e Learning (Implementation of Machine Learning In l -based Sparse Sharpe Ratio P ortfolio Optimization: a Case Study On Indian Stock Market)

    177-177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 to newsreporting from Tamil Nadu, India, by NewsRx journalists, research stated, “Constructing the optimalportfolio by dete rmining and selecting the best combinations of multiple portfolios is computatio nallychallenging due to its exponential complexity. This paper considers the ab ove issue and demonstrates anefficient portfolio selection method based on the sparse minimax Sharpe ratio model involving pre-selectedstocks by an unsupervis ed machine learning approach.”

    Data on Machine Learning Described by Researchers at Universiti Malaya (Denoisin g of partial discharges in switchgear insulation material using hybrid wavelet d enoising-optimization-machine learning)

    178-178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 Kuala Lumpur, Malay sia, by NewsRx journalists, research stated, “Partial discharge (PD)diagnosis i s essential for assessing the insulation status of power equipment, but onsite i nterferences oftencontaminate PD signals with noise, impacting diagnostic accur acy.”

    Research from Korea Electronics Technology Institute (KETI) Yields New Data on R obotics (Mode Prediction and Adaptation for a Six-Wheeled Mobile Robot Capable o f Curb-Crossing in Urban Environments)

    179-179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 Seoul, South Korea, by NewsRx editors, the research stated, “Wheeled mobile robots have a significantrole in the mobility industry. When outdoor mobile robots perform given tasks in urban environments, theyoften face the challenge of climbing and descending curbs.”

    Study Data from Tsinghua University Provide New Insights into Machine Learning ( Machine Learning-based Prediction Approach for Ranging Resolution Enhancement of Fmcw Lidar System With Lstm Networks)

    180-180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 reportingoriginating in Beijing, People’s Rep ublic of China, by NewsRx journalists, research stated, “Rangingresolution is o ne of the most important factors of frequency-modulated continuous wave (FMCW) light detection and ranging (LiDAR) systems, which is determined by the effective sweep bandwidth andobservation time of the ranging signal used for Fourier tra nsform. Conventional methods for resolutionenhancement either require expensive devices or complicated operation with human intervention, which ishigh-cost an d inefficient.”

    Jiangxi Cancer Hospital Reports Findings in Thyroid Neoplasms (Model Based on Ul trasound Radiomics and Machine Learning to Preoperative Differentiation of Folli cular Thyroid Neoplasm)

    181-182页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Thyroid Diseases and C onditions - Thyroid Neoplasms is the subject ofa report. According to news repo rting from Nanchang, People’s Republic of China, by NewsRx journalists,research stated, “To evaluate the value of radiomics based on ultrasonography in differe ntiating follicularthyroid carcinoma (FTC) and follicular thyroid adenoma (FTA) and construct a tool for preoperativenoninvasive predicting FTC and FTA. The c linical data and ultrasound images of 389 patients diagnosedwith FTC or FTA pos toperatively were retrospectively analyzed at 3 institutions from January 2017 t oDecember 2023.”