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    Pushkin State Russian Language Institute Researchers Describe Findings in Roboti cs (Social Network Bots in Natural Communication: Problems of Diagnostics)

    57-57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 Moscow, Russia, by NewsRx editors, r esearch stated, “The article deals with the issue of automateddevices presence in natural dialogue as new, robotic participants of modern public communication. ”

    Research Data from Wuhan Second Ship Design and Research Institute Update Unders tanding of Computational Intelligence (Tsk Fuzzy System Optimization for High-di mensional Regression Problems)

    58-59页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - Data detailed on Machine Learning - Computational Intelligence have been presented. Accordingto news reporting from Wuhan, Peopl e’s Republic of China, by NewsRx journalists, research stated, “Tosimultaneousl y resolve the curse of dimensionality and preserve the strong interpretability o f Takagi-Sugeno-Kang (TSK) fuzzy systems, linear dimensionality reduction with s imple geometric interpretationis necessary. Existing approaches usually perform dimensionality reduction and TSK fuzzy system trainingseparately, leading to s uboptimal performance.”

    Study Data from South China Agricultural University Update Knowledge of Machine Learning (Research On Predicting Photosynthetic Pigments In Tomato Seedling Leav es Based On Nearinfrared Hyperspectral Imaging and Machine Learning)

    59-60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 in Guangzhou, People’s Repub lic of China, by NewsRx journalists, research stated, “Conventionalchemical app roaches could be limited in monitoring the concentration of pigments in plants i nhigh volumes. To overcome these limitations, researchers often turn to non-inv asive, high-throughput,and real-time monitoring techniques, such as spectroscop y and hyperspectral imaging, which allow for theassessment of pigment concentra tion in plants without the need for destructive sampling and offer theability t o monitor large volumes of plants efficiently.”

    Study Data from Fudan University Update Knowledge of Robotics and Automation (Hy bridocc: Nerf Enhanced Transformer-based Multi-camera 3d Occupancy Prediction)

    60-61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 - Robotics a nd Automation have been presented. Accordingto news originating from Shanghai, People’s Republic of China, by NewsRx correspondents, research stated,“Vision-b ased 3D semantic scene completion (SSC) describes autonomous driving scenes thro ugh 3Dvolume representations. However, the occlusion of invisible voxels by sce ne surfaces poses challenges tocurrent SSC methods in hallucinating refined 3D geometry.”

    New Findings on Kernal Learning Described by Investigators at University of Cali fornia Irvine (Gp Plus : a Python Library for Kernelbased Learning Via Gaussian Processes)

    61-62页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Kernal Learning is the subject of a report. According to news reportingfrom Irvine, California, by Ne wsRx journalists, research stated, “In this paper we introduce GP+, an open-sou rce library for kernel -based learning via Gaussian processes (GPs) which are po werful statisticalmodels that are completely characterized by their parametric covariance and mean functions. GP+ is builton PyTorch and provides a user-frien dly and object -oriented tool for probabilistic learning and inference.”

    Researchers from Hohai University Detail New Studies and Findings in the Area of Intelligent Systems (An Improved Cross-domain Sequential Recommendation Model B ased On Intra-domain and Inter-domain Contrastive Learning)

    62-63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 - Intelligent Systems are discussed in a newreport. According to news reporting out of Changzhou, People’s Republic of China, by NewsRx editors, researchstate d, “Cross-domain recommendation aims to integrate data from multiple domains and introduceinformation from source domains, thereby achieving good recommendatio ns on the target domain. Recently,contrastive learning has been introduced into the cross-domain recommendations and has obtainedsome better results.”

    Reports Outline Machine Learning Study Findings from University of Aveiro (Machi ne Learning Model for the Prediction of Self-diffusion Coefficients In Liquids, Compressed Gases and Supercritical Fluids)

    63-64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 Machine Learning. According to news reportingoriginating in Aveiro, Portugal, b y NewsRx journalists, research stated, “Machine Learning (ML) modelswere develo ped in this work to predict self-diffusion coefficients (D11) of dense fluids us ing four trainingalgorithms: Gradient Boosting, k-Nearest Neighbors, Decision T ree, and Random Forest. A database of7931 experimental points from 223 substanc es, at different pressures and temperatures, was used to trainthe models.”

    Researchers at Technical University Munich (TU Munich) Have Reported New Data on Machine Learning (Forecasting Seasonally Fluctuating Sales of Perishable Produc ts In the Horticultural Industry)

    64-65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 Straubing, Germany, b y NewsRx journalists, research stated, “Accurately forecasting demandis a poten tial competitive advantage, especially when dealing with perishable products. Th e multibilliondollar horticultural industry is highly affected by perishabilit y, but has received limited attention inforecasting research.”

    Data on Machine Learning Detailed by Researchers at Shanghai University (Acceler ated Discovery of Lead-free Solder Alloys With Enhanced Creep Resistance Via Com plementary Machine Learning Strategy)

    65-66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 originatingfrom Shanghai, People’s Republic o f China, by NewsRx correspondents, research stated, “Minor alloyingis an effect ive method to improve the performance of lead-free solder alloys. In this study, we propose acomplementary Machine Learning (ML) strategy for minor alloying to design solder alloys with enhancedcreep resistance.”

    Shanghai Jiao Tong University Reports Findings in Biosensors (Intraoperative ass essment of microimplantation-induced acute brain inflammation with titanium oxyn itride-based plasmonic biosensor)

    66-67页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Biosensors is the subj ect of a report. According to news reportingfrom Shanghai, People’s Republic of China, by NewsRx journalists, research stated, “Implantable devicesfor brain-m achine interfaces and managing neurological disorders have experienced rapid gro wth in recentyears. Although functional implants offer significant benefits, is sues related to transient trauma andlong-term biocompatibility and safety are o f significant concern.”