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    Daffodil International University Researchers Provide Details of New Studies and Findings in the Area of Machine Learning (Multi-format open-source sweet orange leaf dataset for disease detection, classification, and analysis)

    96-97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 Dhaka, Bangladesh, by NewsRx journalists, research stated, “In Bangladesh, sweet orangecultivation has been popular among fruit growers as the fruit is in demand. However, the di sease of sweetoranges decreases fruit production.”

    Reports from East China Normal University Provide New Insights into Machine Lear ning (Estimating Terrain Elevations At 10 M Resolution By Integrating Random For est Machine Learning Model and Icesat-2, Sentinel-1, and Sentinel-2 Satellite .. .)

    97-98页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on Machine Learning have been presented. According to news reportingoriginating from Shanghai, People’s Republic of China, by NewsRx correspondents, research stated, “Accuratemapping of terrain elevations at a large scale and fine resolution can characterize the detailed surfaceheight and geomorphic changes and is very critical for the stu dies of the internal motions and externalforces of the earth. The emergence of the Ice, Cloud, and Land Elevation Satellite-2 (ICESat-2) offers unprecedentedp ossibilities for global elevation mapping with high vertical accuracy using thre e-dimensionalphoton points.”

    New Robotics Study Findings Reported from Xi’an Jiaotong University (Collision-f ree Motion Generation Based On Stochastic Optimization and Composite Signed Dist ance Field Networks of Articulated Robot)

    99-99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 Ro botics. According to news originating from Xi’an,People’s Republic of China, by NewsRx correspondents, research stated, “Safe robot motion generation iscritic al for practical applications from manufacturing to homes. In this work, we prop osed a stochasticoptimization-basedmotion generation method to generate collisi on-free and time-optimal motion for thearticulated robot represented by composi te signed distance field (SDF) networks.”

    Researchers from Xinjiang University Provide Details of New Studies and Findings in the Area of Machine Learning (Machine Learning Assisted Designing of Y-serie s Small Molecule Acceptors: Library Generation and Property Prediction)

    100-100页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Machine Learning are pre sented in a new report. According to newsoriginating from Urumqi, People’s Repu blic of China, by NewsRx correspondents, research stated, “Thedesigning of new small molecule acceptors (SMAs) for organic solar cells has been a prominent are a ofresearch for many decades. It is challenging to find unique materials due t o expensive experimentation.”Financial supporters for this research include TianChi Talent Funding from Xinji ang Uygur AutonomousRegion, China, Beijing Natural Science Foundation, Taif Uni versity, Saudi Arabia.

    Reports from Department of Design Add New Study Findings to Research in Machine Learning (A Demand Forecasting Model Leveraging Machine Learning to Decode Custo mer Preferences for New Fashion Products)

    101-101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 originatingfrom the Department of Desi gn by NewsRx correspondents, research stated, “Demand forecasting for newproduc ts in the fashion industry has always been challenging due to changing trends, l onger lead times,seasonal shifts, and the proliferation of products.”

    Data on Machine Learning Described by Researchers at National University of Defe nse Technology (Bias Correction of Arctic Sea Ice Thickness Products Based On Fa ctor Selection and Machine Learning Methods)

    101-102页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting out of Changsha, People’s Rep ublic of China, by NewsRx editors, research stated, “With theaccelerated meltin g of Arctic sea ice in the context of climate change, accurate sea ice thickness observationsare needed for long-term climate simulation, short-term prediction , and shipping navigation. Limitedby their special geographical location, in-si tu data of Arctic sea ice thickness is scarce, and the quality ofobservation pr oducts from existing satellites and models is uneven.”

    Study Findings on Machine Learning Are Outlined in Reports from University of Br asilia (Utilizing Random Forest Algorithm for Identifying Mafic and Ultramafic R ocks In the Gameleira Suite, Archeanpaleoproterozoic Basement of the Brasilia B elt, ...)

    102-103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 reporting originating inBrasilia, Brazil, by NewsRx jour nalists, research stated, “Geological mapping techniques have continuouslyadvan ced, particularly with the increasing use of remote data acquisition methods, su ch as aerogeophysicaldata analysis and the use of machine learning techniques, both has become essential for mapping andunderstanding geological environments. Mafic-ultramafic bodies, which may be linked to metallic oredeposits, can be m apped using these innovative techniques.”

    Studies from University of Patras Yield New Data on Robotics (Trajectory Trackin g with Obstacle Avoidance for Nonholonomic Mobile Robots with Diamond-Shaped Vel ocity Constraints and Output Performance Specifications)

    103-104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 ro botics. According to news originating from Patras, Greece, by NewsRx corresponde nts, research stated, “In this paper, we address the trajectory-/target-tracking and obstacle-avoidance problem for nonholonomic mobile robots subjected to diam ondshapedvelocity constraints and predefined output performance specifications .”

    Study Data from Yangzhou University Provide New Insights into Artificial Intelli gence (A Win-win Relationship? New Evidence On Artificial Intelligence and New E nergy Vehicles)

    104-105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 reportingout of Yangzhou, People’s Rep ublic of China, by NewsRx editors, research stated, “Investigating the vitalrol e of artificial intelligence is essential to develop the electric vehicle market . This study utilises thewavelet-based QQR methodology to seize the dynamic cor relation of artificial intelligence index (AII) andelectric vehicle indicator ( EVI).”

    Data on Machine Learning Reported by Researchers at Department of Computer Scien ces and Engineering (A Systematic Survey On Biological Cell Image Segmentation a nd Cell Counting Techniques In Microscopic Images Using Machine Learning)

    105-106页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Machine Learning are pre sented in a new report. According to newsreporting out of Punjab, India, by New sRx editors, research stated, “The article focuses on the conceptsof Cell Image Segmentation (CIS) and the gradual introduction of cell counting. Motivated by the rapiddevelopment of Machine learning (ML) methods, which is carried out in this investigation.”