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    Studies from Chinese Academy of Sciences Have Provided New Information about Mac hine Learning (Hyper-local Black Carbon Prediction By Integrating Land Use Varia bles With Explainable Machine Learning Model)

    48-48页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in Machine Learning. According to news reporting originating in Beijing, People’s R epublic of China, by NewsRx journalists, research stated, “This research introdu ces an innovative framework that effectively integrates the Land Use Regression (LUR) model with an explainable machine learning methodology, thereby enhancing the causal understanding of how land use variables impact Black Carbon (BC) conc entrations in complex urban landscapes. Through the development and application of a LUR-based Bayesian Network (BN) model to detailed, mobile-based BC measurem ents, we have successfully decoded the causal relationships and conditional prob abilities linking diverse urban land use variables to BC levels.”

    Findings from University of Arkansas Yields New Data on Machine Learning (Predic ting Ultrasound Wave Stimulated Bone Growth In Bioinspired Scaffolds Using Machi ne Learning)

    49-50页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ma chine Learning. According to news reporting originating in Fayetteville, Arkansa s, by NewsRx journalists, research stated, “For conditions like osteoporosis, ch anges in bone pore geometry even when porosity is constant have been shown to co rrelate to increased fracture risk using techniques such as dual-energy x-ray ab sorptiometry (DXA) and computed tomography (CT). Additionally, studies have foun d that bone pore geometry can be characterized by ultrasound to determine fractu re risk, since certain pore geometries can cause stress concentration which in t urn will be a source for fracture.”

    Researchers from Zhejiang University Report Details of New Studies and Findings in the Area of Artificial Intelligence (An Edge-cloud Collaboration Framework fo r Generative Ai Service Provision With Synergetic Big Cloud Model and Small Edge ...)

    50-51页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Artificial Intell igence are discussed in a new report. According to news reporting originating fr om Hangzhou, People’s Republic of China, by NewsRx correspondents, research stat ed, “Generative artificial intelligence (GenAI) offers various services to users through content creation, which is believed to be one of the most important com ponents in future networks. However, training and deploying big artificial intel ligence models (BAIMs) introduces substantial computational and communication ov erhead.”

    Chinese University of Hong Kong Reports Findings in Diabetic Retinopathy (Machin e learning-based identification and validation of immune-related biomarkers for early diagnosis and targeted therapy in diabetic retinopathy)

    51-52页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on Nutritional and Metabolic Disease s and Conditions - Diabetic Retinopathy is the subject of a report. According to news reporting originating from Shenzhen, People’s Republic of China, by NewsRx correspondents, research stated, “The early diagnosis of diabetic retinopathy ( DR) is challenging, highlighting the urgent need to identify new biomarkers. Imm une responses play a crucial role in DR, yet there are currently no reports of m achine learning (ML) algorithms being utilized for the development of immune-rel ated molecular markers in DR.”

    Studies from RWTH Aachen University Yield New Information about Robotics (Enhanc ing Robotic Steel Prefabrication With Semantic Digital Twins Driven By Establish ed Industry Standards)

    52-53页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Robotic s. According to news reporting out of Aachen, Germany, by NewsRx editors, resear ch stated, “To increase automation in steel construction, new approaches are nee ded to strengthen the robustness of robotic steel prefabrication processes again st manufacturing tolerances. While Digital Twins (DTs) can enable the detection of deviations and the adaptation of machine control accordingly, an adaptive inf ormation model interface that can integrate cross-process and cross-machine cons iderations is missing.”

    Findings from Loughborough University Broaden Understanding of Robotics (Distrib uted Multi-robot Source Term Estimation With Coverage Control and Information Th eoretic Based Coordination)

    53-53页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Robotic s. According to news reporting originating from Loughborough, United Kingdom, by NewsRx correspondents, research stated, “In this paper, we introduce a novel co ordination strategy for a group of autonomous robots tasked with estimating the source term of an airborne chemical release. This strategy integrates distribute d Bayesian filtering, coverage control, information-theoretic sampling, and prox imity constraint handling, forming an efficient and fully distributed coordinati on protocol.”

    New Machine Learning Study Results Reported from China Jiliang University (Detec tion of Drug Residues In Bean Sprouts By Hyperspectral Imaging Combined With 1dc nn With Channel Attention Mechanism)

    54-54页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learn ing have been published. According to news originating from Hangzhou, People’s R epublic of China, by NewsRx correspondents, research stated, “As a crucial veget able food in Asia, bean sprouts are widely cultivated. However, the common pract ice of using plant growth hormones and other drugs to boost yield and prolong st orage poses health risks if not handled properly, so we introduce a novel approa ch for the non-destructive detection of drug residues in bean sprout cotyledons. ”

    Researchers at University of New South Wales Have Reported New Data on Machine L earning (Accelerating Communication-efficient Federated Multi-task Learning With Personalization and Fairness)

    55-56页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on Machine Learning is the subject o f a report. According to news reporting originating from Sydney, Australia, by N ewsRx correspondents, research stated, “Federated learning techniques provide a promising framework for collaboratively training a machine learning model withou t sharing users’ data, and delivering a security solution to guarantee privacy d uring the model training of IoT devices. Nonetheless, challenges posed by data h eterogeneity and communication resource constraints make it difficult to develop an efficient federated learning algorithm in terms of the low order of converge nce rate.”

    Findings from Constantine the Philosopher University in Nitra Update Understandi ng of Machine Translation (A Human Evaluation of English-slovak Machine Translat ion)

    56-56页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Trans lation have been published. According to news reporting originating from Nitra, Slovakia, by NewsRx correspondents, research stated, “The paper aims to obtain a n error profile for machine translation (MT) from English into Slovak. We presen t an adjusted framework for MT evaluation, which is based on Vanko’s categorical framework, but reflects machine translation peculiarities of synthetic and/or i nflectional languages.” Funders for this research include Slovak Research and Development Agency, Vedeck a Grantova Agentura MSVVaS SR a SAV.

    New Machine Learning Study Findings Have Been Reported by Investigators at Jiang su Academy of Agricultural Sciences (Lipidomics Combined With Random Forest Mach ine Learning Algorithms To Reveal Freshness Markers for Duck Eggs During Storage In ...)

    57-57页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Researchers detail new data in Machine Learning. According to news reporting originating from Nanjing, People’s Republic of China , by NewsRx correspondents, research stated, “The differences in lipids in duck eggs between the 2 rearing systems during storage have not been fully studied. H erein, we propose untargeted lipidomics combined with a random forest (RF) algor ithm to identify potential marker lipids based on ultra-perfor(UPLPC-MS/MS).”