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    Artificial intelligence tools bring efficiency to the architectural process

    1-2页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – The conventional work of an architect is usually slow and artisanal. When hired to design an interior for a company, it can take days or even weeks, depending on the size of the project, to produce a few options to offer to the client. However, artificial intelligence tools can make this process much faster and more efficient.

    Findings on Support Vector Machines Reported by Investigators at Department of Computer Sciences and Engineering (A New Random Forest and Support Vector Machine -based Intrusion Detection Model In Networks)

    2-3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 Support Vector Machines have been published. According to news reporting originating from Cooch Behar, India, by NewsRx correspondents, research stated, “There exist many in trusion detection systems (IDSs) to provide privacy and security to user data in networks. However, these models are prone to generate high false alarms due to large amounts of noisy data and large feature dimensions.”

    Studies from Norwegian University of Science and Technology (NTNU) Yield New Dat a on Machine Learning (Accurate Spacegroup Prediction From Composition)

    3-3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 from Trondheim, Norway, by NewsRx jo urnalists, research stated, “Predicting crystal symmetry simply from chemical co mposition has remained challenging. Several machine-learning approaches can bee mployed, but the predictive value of popular crystallographic databases is relat ively modest due to the paucity of data and uneven distribution across the 230 s pace groups.”

    Research from University of Moratuwa Yields New Study Findings on Machine Learning (Use of Machine Learning and Indexing Techniques for Identifying Industrial Pollutant Sources: A Case Study of the Lower Kelani River Basin, Sri Lanka)

    4-5页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on artificial intelligence is the subject of a new report. According to news reporting originating from Moratuwa, Sri Lanka, by NewsRx correspondents, research stated, “With the recent acceleration in urbanisation and industrialisation, industrial pollution has sev erely impacted inland water bodies and ecosystem services globally, causing sign ificant restrains to freshwater availability and myriad damages to benthic species.”

    Study Findings on Machine Learning Detailed by Researchers at Umea University (ProstateZones - Segmentations of the prostatic zones and urethra for the PROSTATE x dataset)

    4-4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 artificial intelligence. According to news reporting originating from Umea University by NewsRx correspondents, research stated, “Manual segmentations are consi dered the gold standard for ground truth in machine learning applications.” Funders for this research include Cancerfonden; Cancer Research Foundation of No rthern Sweden Prostatacancerforbundet.

    Researchers’ Work from Jiangnan University Focuses on Robotics (Autonomous Navig ation of Magnetic Microrobots With Improved Planning and Control In Complex Envi ronments)

    5-6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 Robotics. According to news reporting out of Wuxi, People’s Republic of China, by NewsRx editors, research stated, “Magnetic field-driven microrobots have shown high potential in the field of medical applications. Autonomous navigation is a crucial concern for magnetic microrobots, however, the path planning, actuation and control of magnetic microrobots still remain challenging, especially for complex and large-workspace human body environments.”

    Researchers from Shenzhen University Describe Findings in Computational Intellig ence (Possibilistic Neighborhood Graph: a New Concept of Similarity Graph Learning)

    7-7页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Machine Learning - Co mputational Intelligence have been presented. According to news reporting origin ating in Shenzhen, People’s Republic of China, by NewsRx journalists, research s tated, “Adaptive graph-based representation and learning methods have received e xtensive attention due to their good performance in supervised and unsupervised learning tasks. These methods often involve probability constraint, i.e., the su m-to-one constraint, when learning a similarity graph.” Funders for this research include Guangdong Basic and Applied Basic Research Fou ndation, National Natural Science Foundation of China (NSFC), Shenzhen Science and Technology Program, Natural Science Key Foundation of Jiangsu Education Depar tment.

    University of Chemistry and Technology Reports Findings in Antibiotics (Surface enhanced Raman spectroscopy and machine learning for identification of beta-lact am antibiotics resistance gene fragment in bacterial plasmid)

    8-9页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Drugs and Therapies - Antibiotics is the subject of a report. According to news reporting originating in Prague, Czech Republic, by NewsRx journalists, research stated, “Antibiotic resistance stands as a critical medical concern, notably evident in commonly pres cribed beta-lactam antibiotics. The imperative need for expeditious and precise early detection methods underscores their role in facilitating timely intervention, curbing the propagation of antibiotic resistance, and enhancing patient outcomes.”

    Recent Findings from Trinity College Highlight Research in Machine Learning (Qua ntum-accurate machine learning potentials for metalorganic frameworks using tem perature driven active learning)

    8-8页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Research findings on artificial intelligence are discussed in a new report. According to news reporting originating from Trinity College by NewsRx correspondents, research stated, “Understanding structural fle xibility of metal-organic frameworks (MOFs) via molecular dynamics simulations is crucial to design better MOFs.”

    Findings in Computational Intelligence Reported from Dalian Maritime University (Cigf-net: Cross-modality Interaction and Globalfeature Fusion for Rgb-t Semantic Segmentation)

    9-10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 Machine Learning - Computational Intelligence are discussed in a new report. According to news re porting out of Dalian, People’s Republic of China, by NewsRx editors, research s tated, “RGB-T semantic segmentation aims to enhance the robustness of segmentati on methods in complex environments by utilizing thermal information. To facilita te the effective interaction and fusion of multimodal information, we propose a novel Cross-modality Interaction and Global-feature Fusion Network, namely CIGF- Net.”