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    Researchers from Banaras Hindu University Report Recent Findings in Machine Lear ning (A Robust and Efficient Wall Parameter Estimation Approach for Through Wall Radar)

    48-49页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on Machine Learning is now available. According to news originating from Uttar Pradesh, India, by NewsRx e ditors, the research stated, “In through-wall radar system, thewall parameters, including permittivity, and wall thickness are of crucial importance for locati ng targetsprecisely. Recently, to obtain a quick and accurate estimation of wal l parameters, an approach based onmachine learning was introduced.”

    Data on Robotics Discussed by Researchers at Hainan University (An improved YOLO v8n-IRP model for natural rubber tree tapping surface detection and tapping key point positioning)

    48-48页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on robotics is now availab le. According to news originating from Haikou,People’s Republic of China, by Ne wsRx correspondents, research stated, “Aiming at the problem thatlightweight al gorithm models are difficult to accurately detect and locate tapping surfaces an d tappingkey points in complex rubber forest environments, this paper proposes an improved YOLOv8n-IRP modelbased on the YOLOv8n-Pose.”

    Data from University of North Carolina Chapel Hill Update Knowledge in Robotics (Transforming science labs into automated factories of discovery)

    49-50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 originating from ChapelHill, North Carolina, by NewsRx edi tors, the research stated, “Laboratories in chemistry, biochemistry, andmateria ls science are at the leading edge of technology, discovering molecules and mate rials to unlockcapabilities in energy, catalysis, biotechnology, sustainability , electronics, and more.”

    Research from Bispebjerg University Hospital Provide New Insights into Artificia l Intelligence (Artificial intelligence to detect pulmonary congestion on chest computed tomography in consecutive dyspnoeic patients)

    50-51页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators discuss new findings in artificial intelligence. According to news reporting fromBispebjerg University Hospital by NewsRx journalists, research stated, “Pulmonary congestion is a hallmarkof acu te heart failure (AHF), and essential for the diagnosis, treatment, and risk str atification. We havepreviously shown that a low-dose chest CT has four times gr eater odds than chest radiographs to detectpulmonary congestion. However, imple mentation is limited by shortage of radiologists.”

    People’s Hospital of Zhengzhou University Reports Findings in Glioblastomas (Dev elopment of a web-based tool for estimating individualized survival curves in gl ioblastoma using clinical, mRNA, and tumor microenvironment features with fusion ...)

    51-52页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Oncology - Glioblastom as is the subject of a report. According to newsreporting out of Henan, People’ s Republic of China, by NewsRx editors, research stated, “Glioblastoma(GBM), on e of the most common brain tumors, is known for its low survival rates and poor treatmentresponses. This study aims to create a robust predictive model that in tegrates multiple feature types,including clinical data, RNA expression, and tu mor microenvironment data, using fusion techniques toenhance model performance. ”

    Research Study Findings from Islamic Azad University Update Understanding of Sup port Vector Machines (Investigation of classification of support vector machine on the estimation of the deciduous broad-leaved forests area in the north of Ira n)

    52-53页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on is now available. Accor ding to news reporting from Islamic AzadUniversity by NewsRx journalists, resea rch stated, “During the last decades, Caspian forests have beenattacked by huma n interference. Easy access, abundance and diversity of valuable forest products have ledto the increase in population density, the creation of new residential areas and the activity of deforestation.”

    New Findings from Rzeszow University of Technology Describe Advances in Robotics (Application of Digital Twins in Designing Safety Systems for Robotic Stations)

    53-54页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in robotics. According to news originating fromRzeszow, Poland, by NewsRx editors, the research stated, “The aim of this paper is to present examplesand original solutions related to the application of the digital twin concept in designing s afety systems forrobotic stations.”

    Technological University Dublin Reports Findings in Robotics (Enhancing the perf ormance of a resonance-based sensor network for soft robots using binary excitat ion)

    54-55页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Robotics is the subjec t of a report. According to news reportingoriginating in Dublin, Ireland, by Ne wsRx journalists, research stated, “Embedded, flexible, multi-sensorsensing net works have shown the potential to provide soft robots with reliable feedback whi le navigatingunstructured environments. Time delay associated with extracting i nformation from these sensing networksand the complexity of constructing them a re significant obstacles to their development.”

    Researchers from Department of Geography Detail Findings in Machine Learning (Li nkages Between Gully Erosion Susceptibility and Hydrological Connectivity In Tro pical Sub-humid River Basin: Application of Machine Learning Algorithms and ...)

    55-56页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Current study results on Machine Learning have be en published. According to news originatingfrom Kolkata, India, by NewsRx corre spondents, research stated, “Hydrological connectivity from upslopeto downslope of valley floor and main channel, triggered the gully initiation and associated land degradationcontinue occurring off-site erosion as considered most effecti ve drivers on potential sediment detachment.Present study attempted to identify the linkage between gullies erosion susceptibility (GES) and hydrologicalconne ctivity pathway in sub-tropical humid river basin Kangsabati (KRB) using four ma chine-learningalgorithms (MLALs) such as Random Forest (RF), Support Vector Mac hine (SVM), Extreme GradientBoosting (XGB), Artificial Neural Network (ANN) for GES mapping, and connectivity index (IC) forhydrological connectivity mapping. ”

    Ghent University Reports Findings in Lymphoma (Innovative labelfree lymphoma di agnosis using infrared spectroscopy and machine learning on tissue sections)

    56-57页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Oncology - Lymphoma is the subject of a report. According to newsoriginating from Ghent, Belgium, by NewsRx correspondents, research stated, “The diagnosis of lymphomasis challengi ng due to their diverse histological presentations and clinical manifestations. There is a needfor inexpensive tools that require minimal expertise and are acc essible for routine laboratories.”