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    Findings from Chinese Academy of Medical Sciences Update Understanding of Androi ds (Development of a Humanoid Robot Control System Based On Ar-bci and Slam Navi gation)

    31-32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 Robotics - Androids are presented in a new report. According to news reporting originating from Tianjin, People's Republic of China, by NewsRx correspondents, research stated, “Brain-c omputer interface (BCI)-based robot combines BCI and robotics technology to real ize the brain's intention to control the robot, which not only opens up a new wa y for the daily care of the disabled individuals, but also provides a new way of communication for normal people. However, the existing systems still have short comings in many aspects such as friendliness of human-computer interaction, and interaction efficient.”

    Affiliated Hospital of Youjiang Medical University for Nationalities Reports Fin dings in Gastric Cancer (Decoding Gastric Cancer: Machine Learning Insights Into the Significance of COMMDs Family in Immunotherapy and Diagnosis)

    32-33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 Guangxi, People 's Republic of China, by NewsRx journalists, research stated, “Copper, an indisp ensable trace element for the human body, serves not only as a crucial auxiliary factor in redox reactions within the organism but also as a significant constit uent of numerous key metabolic enzymes. The COMMD family plays a vital role in r egulating copper at both the cellular and systemic levels, particularly in the r ealm of tumor research, an area notably deficient in gastric cancer investigatio ns.”

    New Machine Learning Findings from Mohammed V University Described (Comparative Analysis of Multi-source Data for Machine Learning-based Lai Estimation In argan ia Spinosa)

    33-34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 Rabat, Morocco, by NewsRx journ alists, research stated, “In this study, we conducted a comprehensive assessment of Leaf Area Index (LAI) estimation using three distinct sources of satellite d ata: Sentinel -2 imagery, drone imagery (UAVs), and Mohammed VI satellite data. The main objective was to identify the most reliable and precise dataset for pre dicting LAI, with a focus on evaluating the performance of Random Forest models. ”

    Reports from SRM University Provide New Insights into Machine Learning (Predicti ng and Categorizing Air Pressure System Failures In Scania Trucks Using Machine Learning)

    34-35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 Andhra Pradesh, India , by NewsRx journalists, research stated, “The air pressure system (APS) is an i ntegral component of Scania trucks and other heavy machinery. Because the brakes on these vehicles use air pressure, keeping the APS in good working order is crucial.”

    Studies from Yunnan University Have Provided New Information about Computational Intelligence (Explicit and Implicit Box Equivariance Learning for Weakly-superv ised Rotated Object Detection)

    35-36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 - Computational Intelligence. According to news reporting origina ting from Yunnan, People's Republic of China, by NewsRx correspondents, research stated, “Rotated object detection has emerged as a preferred alternative to the conventional Horizontal Box (HBox) object detection in various tasks. However, the majority of existing detection datasets are still annotated using HBox.”

    Research from Xi'an Shiyou University Provides New Study Findings on Machine Lea rning (Flow regimes identification of air water counter current flow in vertical annulus using differential pressure signals and machine learning)

    36-37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 Xi'an Shiyou Universi ty by NewsRx editors, the research stated, “This study investigates the gas-liqu id two-phase counter-current flow through a vertical annulus, a phenomenon preva lent across numerous industrial fields. The presence of an inner pipe and varyin g degrees of eccentricity between the inner and outer pipes often blur the clear demarcation of flow regime boundaries. To address this, we designed a vertical annulus with adjustable eccentricity (outer and inner diameters of 125 mm and 75 mm, respectively).”

    New Findings on Robotics Described by Investigators at Carinthia University of A pplied Sciences (Versatile 3d-printed Fin-ray Effect Soft Robotic Fingers: Light weight Optimization and Performance Analysis)

    37-38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 Ro botics. According to news reporting originating in Villach, Austria, by NewsRx j ournalists, research stated, “Fin ray soft robotic fingers are inspired by the s tructure and movement of fish fins, enabling flexible and adaptive grasping capa bilities. Addressing the challenges of resource efficiency in terms of reduced e nergy consumption and material expense, this work focuses on further optimizing inherently low-energy fin-ray fingers towards lightweight design.”

    International Food Policy Research Institute Reports Findings in Artificial Inte lligence (Feasibility of Using an Artificial Intelligencebased Telephone Applic ation for Dietary Assessment and Nudging to Improve the Quality of Food Choices of ...)

    38-39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 Intelligenc e is the subject of a report. According to news reporting originating from Washi ngton, District of Columbia, by NewsRx correspondents, research stated, “Adolesc ent nutrition has faced a policy neglect, partly owing to the gaps in dietary in take data for this age group. The Food Recognition Assistance and Nudging Insigh ts (FRANI) is a smartphone application validated for dietary assessment and to i nfluence users toward healthy food choices.”

    Findings from Oak Ridge National Laboratory Yields New Data on Machine Learning (Efficient Learning of Accurate Surrogates for Simulations of Complex Systems)

    39-40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 reporting originating in Oak Ridge, Tennessee, by NewsRx journalists, research stated, “Machine learning methods are increasingly deployed to construct surrogate models for complex physical systems at a reduced computational cost. However, the predictive capability of these su rrogates degrades in the presence of noisy, sparse or dynamic data.”

    Research from Razi University Provides New Study Findings on Machine Learning (P rediction of groundwater level fluctuation using methods based on machine learni ng and numerical model)

    40-41页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on artificial intelligence is the su bject of a new report. According to news reporting from Kermanshah, Iran, by New sRx journalists, research stated, “During the recent few decades, the use of var ious models has been regarded as a promising option to predict groundwater level (GWL) in any given region using a wide variety of data and relevant equations. The lack of trustworthy and comprehensive data is, nevertheless, one of the most significant obstacles that must be overcome in order to analyze and anticipate the depletion of groundwater in the context of water management.”