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    Research on Machine Learning Reported by Researchers at Center for Bionics (Depl oyment of Machine Learning Algorithms on Resource-Constrained Hardware Platforms for Prosthetics)

    85-86页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Fresh data on artificial intelligence are present ed in a new report. According to news reportingoriginating from the Center for Bionics by NewsRx correspondents, research stated, “Motion intent recognitionfo r controlling prosthetic systems has long relied on machine learning algorithms. Artificial neuralnetworks have shown great promise for solving such nonlinear classification tasks, making them a viablemethod for this purpose.”

    Findings in Machine Learning Reported from Zhengzhou Technology and Business Uni versity (Optical Wearable Sensor Based Dance Motion Detection In Health Monitori ng System Using Quantum Machine Learning Model)

    86-87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 Zhengzhou, People’s R epublic of China, by NewsRx editors, the research stated, “The fieldof medical monitoring has a lot of room for growth for wearable optical fibre sensors. The development ofwearable optical fibre sensors is progressively satisfying the ne ed for new medical monitoring devices to bemore small, comfortable, accurate, a nd have other capabilities.”

    Studies from College of Engineering and Technology in the Area of Support Vector Machines Described (Portfolio Rebalancing Model Utilizing Support Vector Machin e for Optimal Asset Allocation)

    87-88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 Support Vecto r Machines have been published. Accordingto news reporting from Tamil Nadu, Ind ia, by NewsRx journalists, research stated, “Achieving an optimalasset allocati on strategy is critical for investors aiming to maximize returns while managing risk in adynamic financial market. This research presents a portfolio rebalanci ng model that leverages the powerof Support Vector Machine (SVM) algorithms to optimize asset allocation decisions and enhance portfolioperformance.”

    Report Summarizes Machine Learning Study Findings from Pennsylvania State Univer sity (Penn State) (Quantitative Analysis of Mos2 Thin Film Micrographs With Mach ine Learning)

    88-88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 reportingoriginating from University Park, Pennsy lvania, by NewsRx correspondents, research stated, “Isolatingthe features assoc iated with different materials growth conditions is important to facilitate the tuning ofthese conditions for effective materials growth and characterization. This study presents machine learningmodels for classifying atomic force microsc opy (AFM) images of thin film MoS2 based on their growthtemperatures.”

    New Machine Learning Research Has Been Reported by Researchers at Pak-Austria Fa chhochschule: Institute of Applied Sciences and Technology (XEmoAccent: Embracin g Diversity in Cross-Accent Emotion Recognition Using Deep Learning)

    89-89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 ar tificial intelligence. According to news reportingoriginating from Haripur, Pak istan, by NewsRx correspondents, research stated, “Speech is a powerfulmeans to expressing thoughts, emotions, and perspectives. However, accurately determinin g the emotionsconveyed through speech remains a challenging task.”

    New Machine Learning Study Results from University of California Irvine Describe d (The Sampl9 Host-guest Blind Challenge: an Overview of Binding Free Energy Pre dictive Accuracy)

    90-91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 reportingfrom Irvine, California, by NewsRx journ alists, research stated, “We report the results of the SAMPL9host-guest blind c hallenge for predicting binding free energies. The challenge focused on macrocyc lesfrom pillar[n]-arene and cyclodextrin host families, including WP6, and bCD and HbCD.”

    Researchers from Chinese Academy of Sciences Publish Research in Machine Learnin g (Catalytic Activity Prediction of a-Diimino Nickel Precatalysts toward Ethylen e Polymerization by Machine Learning)

    90-90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 reportingout of Beijing, People’s Re public of China, by NewsRx editors, research stated, “The present study exploredmachine learning methods to predict the catalytic activities of a dataset of 16 5 a-diimino nickel complexesin ethylene polymerization.”

    Researchers from University of Laval Report Details of New Studies and Findings in the Area of Robotics (Grasping Control for Kinematically Redundant Parallel R obots With a Remotely Operated Gripper)

    92-92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 originatingfrom Quebec City, Canada, by News Rx correspondents, research stated, “This article proposes a novelgrasping cont rol method for a kinematically redundant parallel (KRP) robot with a remotely op eratedgripper. The proposed method consists of a motion controller and a force controller acting on each leg ofthe robot.”

    Reports from University of Technology Sydney Add New Data to Findings in Machine Learning (An Advanced Machine Learning Technique To Predict Compressive Strengt h of Green Concrete Incorporating Waste Foundry Sand)

    93-93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 out of Sydney, Austra lia, by NewsRx editors, research stated, “Waste foundry sand (WFS)is the waste product that cause environmental hazards. WFS can be used as a partial replaceme nt ofcement or fine aggregates in concrete.”

    Researchers at PSG College of Technology Have Reported New Data on Machine Learn ing (Fuzzy Logic Inherited Machine Learning Based Maximum Power Point Tracker fo r Cost-optimized Grid Connected Hybrid Renewable Systems)

    94-95页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators publish new report on Machine Learn ing. According to news originating from TamilNadu, India, by NewsRx corresponde nts, research stated, “In this article, multitrial vector-based differentialevo lution algorithm (MTDE) is proposed as energy and cost management controller und er Time of Use(TOU) tariff in grid associated domestic PV-wind power system tie d with battery storages. To enrich theenergy efficiency of a proposed power sys tem, two optimisation algorithms are proposed in the schedulingoperation.”