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    New Machine Learning Findings from Kuvempu University Outlined (The Geospatial M odelling of Vegetation Carbon Storage Analysis In Google Earth Engine Using Mach ine Learning Techniques)

    49-50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 originating from Karnataka, I ndia, by NewsRx correspondents, research stated, “Over the pastfew years, fores t ecosystems’ ability to store carbon has been significantly impacted by Land us e and Landcover (LULC), and climate change. Thus, it is crucial to understand h ow these change-causing factorsimpact carbon sequestration (CS).”

    Research on Robotics Detailed by Researchers at Pukyong National University (Dev elopment of an Adaptive AHP Path Planning Method Considering the Mobile Robot Dr iving Environment)

    50-51页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Current study results on robotics have been publi shed. According to news reporting from Busan,South Korea, by NewsRx journalists , research stated, “This paper aims to enhance the Analytic HierarchyProcess (A HP)-based path planning algorithm by addressing some of its shortcomings.”

    Researchers from State Key Laboratory of Powder Metallurgy Report on Findings in Machine Learning (Hierarchically Piezoelectric Aerogels for Efficient Sound Abs orption and Machine-learningassisted Sensing)

    51-52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 Changsha, People’s Republic o f China, by NewsRx correspondents, research stated, “Ubiquitous noisepollution has been associated with significant negative impacts on human health. However, current poroussound-absorbing materials encounter considerable obstacles such a s thick density, narrow absorbing band,and limited function.”

    King Mongkut’s University of Technology Thonburi (KMUTT) Reports Findings in Mac hine Learning (Hydrological model parameter regionalization: Runoff estimation u sing machine learning techniques in the Tha Chin River Basin, Thailand)

    52-53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 Bangkok, Thailand, by NewsRx editors, research stated, “Understanding hydrological processesnecessita tes the use of modeling techniques due to the intricate interactions among envir onmentalfactors. Estimating model parameters remains a significant challenge in runoff modeling for ungaugedcatchments.”

    Sungkyunkwan University Researcher Illuminates Research in Machine Learning (Pro posing Machine Learning Models Suitable for Predicting Open Data Utilization)

    53-53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 artificial in telligence have been published. According to newsreporting from Suwon, South Ko rea, by NewsRx journalists, research stated, “As the digital transformationacce lerates in our society, open data are being increasingly recognized as a key res ource for digitalinnovation in the public sector.”

    Zhejiang University Reports Findings in Machine Learning (Rapid assessment of he avy metal accumulation capability of Sedum alfredii using hyperspectral imaging and deep learning)

    54-54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 news reportingout of Hangzhou, People’s Rep ublic of China, by NewsRx editors, research stated, “Hyperaccumulatorsare the m aterial basis and key to the phytoremediation of heavy metal contaminated soils. Conventionalmethods for screening hyperaccumulators are highly dependent on th e time- and labor-consuming samplingand chemical analysis.”

    Study Findings on Computational Intelligence Published by Researchers at Electri cal Engineering Department (Adept Domestic Energy Load Profile Development Using Computational Intelligence-Based Modelling)

    55-55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 co mputational intelligence. According to newsoriginating from the Electrical Engi neering Department by NewsRx editors, the research stated, “Moststudies underta ken on energy usage in buildings have shown that energy utilization is widely in fluencedby occupancy presence and occupants’ activities relative to the indoor environment, which may be widelydependent on weather conditions and user behavi ors. However, the core drawback that has negated theproficient estimation of en ergy is the modelling of occupant behavior relative to energy use.”

    Recent Studies from Huazhong University of Science and Technology Add New Data t o Robotics (Coordinated Guiding Vector Field Design for Ordering-flexible Multir obot Surface Navigation)

    56-56页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in Robotic s. According to news reporting originating fromWuhan, People’s Republic of Chin a, by NewsRx correspondents, research stated, “In this article, we designa dist ributed coordinated guiding vector field (CGVF) for a group of robots to achieve ordering-flexiblemotion coordination while maneuvering on a desired 2-D surfac e. The CGVF is characterized by threeterms, i.e., a convergence term to drive t he robots to converge to the desired surface, a propagationterm to provide a tr aversing direction for maneuvering on the desired surface, and a coordinated ter m toachieve the surface motion coordination with an arbitrary ordering of the r obotic group.”

    Study Findings on Robotics Reported by a Researcher at Nanjing University of Inf ormation Science and Technology (NUIST) (Symmetric Pseudo-Multi-Scroll Attractor and Its Application in Mobile Robot Path Planning)

    57-57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 Nanjing, People’s Republic o f China, by NewsRx editors, the research stated, “The symmetric multiscrollstr ange attractor has shown great potential in chaos-based applications due to its high complexityin phase space.”

    New Artificial Intelligence Research from University of Wisconsin Milwaukee Desc ribed (An Artificial Intelligence Interactive Platform for Automated Chatbot wit h AI-Driven Innovation in Recipe Searching)

    58-58页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on artificial intelligence are presented in a new report. According to newsreporting out of Milwaukee, Uni ted States, by NewsRx editors, research stated, “Hunger’s Heaven is aninnovativ e culinary app that uses artificial intelligence to customize and enhance the ex perience of cookingat home.”