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    Reports from University of East London Describe Recent Advances in Artificial In telligence (An Artificial Intelligence Approach To Predicting Personality Types In Dogs)

    20-21页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Artificial Intelligence is now available. According to news originating from London, United Kingdom, by NewsRx correspondents, research stated, “Canine personality and behavioural cha racteristics have a significant influence on relationships between domestic dogs and humans as well as determining the suitability of dogs for specific working roles. As a result, many researchers have attempted to develop reliable personal ity assessment tools for dogs.”

    Lanzhou Jiaotong University Researchers Yield New Study Findings on Intelligent and Connected Vehicles (A review of vehicle speed control strategies)

    20-20页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on intelligent and connected vehicle s is the subject of a new report. According to news originating from Lanzhou, Pe ople’s Republic of China, by NewsRx correspondents, research stated, “Currently, traffic problems in urban road traffic environments remain severe, traffic poll ution and congestion have not been effectively improved, and traffic accidents a re still frequent. Traditional traffic signal control methods have little effect on these problems.”

    Reports Outline Machine Learning Study Results from University of Tubingen (High -performance Soil Class Delineation Via Umap Coupled With Machine Learning In Ku rdistan Province, Iran)

    21-22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 Tubingen, Germany, by NewsRx journalists, research stated, “In response to the demand for spatial i nformation on the soil to support the sustainable management of soil resources, this study applies a digital soil mapping approach to predict soil classes for a 7000 ha area, located in Kurdistan province, Iran. Based on a stratified random sampling design, 91 soil profiles were situated, described, and classified into soil great groups.”

    New Machine Learning Findings from Chinese Academy of Sciences Reported [Identifying Candidate Persistent, Mobile, and Toxic (Pmt) and Very Persistent an d Very Mobile (Vpvm) Substances In Shale Gas Drilling Fluids By Combining Nontar get Analysis ...]

    22-23页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Machine Learning is now available. According to news reporting out of Guangzhou, People’s Republic of C hina, by NewsRx editors, research stated, “Shale gas extraction has raised envir onmental concerns on regional water resources. Horizontal drilling is a process in which drilling fluids containing complex organic and inorganic chemicals are intensively applied.”

    University of Patras Reports Findings in Tissue Engineering (An explainable mach ine learning-based probabilistic framework for the design of scaffolds in bone t issue engineering)

    23-24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 Biomedical Engineering - Tissue Engineering is the subject of a report. According to news reporting or iginating from Rio, Greece, by NewsRx correspondents, research stated, “Recently , 3D-printed biodegradable scaffolds have shown great potential for bone repair in critical-size fractures. The differentiation of the cells on a scaffold is im pacted among other factors by the surface deformation of the scaffold due to mec hanical loading and the wall shear stresses imposed by the interstitial fluid fl ow.”

    University of Maroua Researchers Publish New Data on Machine Learning (A compara tive study of Machine Learning and Deep Learning methods for flood forecasting i n the Far-North region, Cameroon)

    24-25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 artificial intelligen ce have been presented. According to news originating from the University of Mar oua by NewsRx editors, the research stated, “Flood crises are the consequence of climate change and global warming, which lead to an increase in the frequency a nd intensity of heavy rainfall. Floods are, and remain, natural disasters that r esult in huge loss of lives and material damage.”

    Universidade Federal de Sao Carlos Researchers Have Provided New Study Findings on Intelligent Systems (Scheduling choice method for flexible job shop problems using a fuzzy decision maker)

    25-26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 intelligent system s. According to news originating from the Universidade Federal de Sao Carlos by NewsRx editors, the research stated, “The Flexible Job Shop Scheduling Problem ( FJSP) emerges as a challenging extension of the classic Job Shop, presenting NPHard characteristics. In the FJSP, a set of jobs, comprising multiple operations , must be allocated to a predefined set of machines, each with its respective ex ecution times.”

    Research from Yeungnam University Provides New Study Findings on Machine Learnin g (Unraveling phase prediction in high entropy alloys: A synergy of machine lear ning, deep learning, and Thermo- Calc, validation by experimental analysis)

    26-27页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on artificial intelligence are presented in a new report. According to news reporting out of Gyeongbuk, Sou th Korea, by NewsRx editors, research stated, “The phase formation in high entro py alloys (HEAs) presents a significant challenge due to the complexity of their composition and the intricate interactions between multiple elements. The machi ne learning (ML) and deep learning (ANN) models play a crucial role in phase pre diction for HEAs owing to their capability to handle intricate, multi-dimensiona l datasets and capture nuanced relationships between composition and phase forma tion.”

    Tsinghua University Reports Findings in Gastric Cancer (Metabolomic machine lear ning predictor for diagnosis and prognosis of gastric cancer)

    27-28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 Oncology - Gastric Can cer is the subject of a report. According to news reporting from Beijing, People ’s Republic of China, by NewsRx journalists, research stated, “Gastric cancer (G C) represents a significant burden of cancer-related mortality worldwide, unders coring an urgent need for the development of early detection strategies and prec ise postoperative interventions. However, the identification of non-invasive bio markers for early diagnosis and patient risk stratification remains underexplore d.”

    Report Summarizes Machine Learning Study Findings from University of Texas Austi n (Generative Learning for Nonlinear Dynamics)

    28-29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 Austin, Texas, by N ewsRx editors, the research stated, “Modern generative machine learning models a re able to create realistic outputs far beyond their training data, such as phot orealistic artwork, accurate protein structures or conversational text. These su ccesses suggest that generative models learn to effectively parametrize and samp le arbitrarily complex distributions.”