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    University of Pisa Reports Findings in Glioblastomas (Clinical Feature Ranking Based on Ensemble Machine Learning Reveals Top Survival Factors for Glioblastoma Multiforme)

    47-47页
    查看更多>>摘要:New research on Oncology - Glioblastomas is the subject of a report. According to news reporting originating in Pisa, Italy, by NewsRx journalists, research stated, "Glioblastoma multiforme (GM) is a malignant tumor of the central nervous system considered to be highly aggressive and often carrying a terrible survival prognosis. An accurate prognosis is therefore pivotal for deciding a good treatment plan for patients." Financial support for this research came from Universita degli Studi di Milano - Bicocca.

    Researchers from South Asian University Report on Findings in Machine Learning (The Role of Lifelong Machine Learning In Bridging the Gap Between Human and Machine Learning: a Scientometric Analysis)

    48-48页
    查看更多>>摘要:A new study on Machine Learning is now available. According to news reporting originating in New Delhi, India, by NewsRx journalists, research stated, "Due to advancements in data collection, storage, and processing techniques, machine learning has become a thriving and dominant paradigm. However, one of its main shortcomings is that the classical machine learning paradigm acts in isolation without utilizing the knowledge gained through learning from related tasks in the past." The news reporters obtained a quote from the research from South Asian University, "To circumvent this, the concept of Lifelong Machine Learning (LML) has been proposed, with the goal of mimicking how humans learn and acquire cognition. Human learning research has revealed that the brain connects previously learned information while learning new information from a single or small number of examples. Similarly, an LML system continually learns by storing and applying acquired information. Starting with an analysis of how the human brain learns, this paper shows that the LML framework shares a functional structure with the brain when it comes to solving new problems using previously learned information. It also provides a description of the LML framework, emphasizing its similarities to human brain learning. It also provides citation graph generation and scientometric analysis algorithms for the LML literatures, including information about the datasets and evaluation metrics that have been used in the empirical evaluation of LML systems."

    Universidad Politecnica de Madrid Researcher Describes Findings in Robotics (Real-Time Object Detection for Autonomous Solar Farm Inspection via UAVs)

    49-50页
    查看更多>>摘要:Researchers detail new data in robotics. According to news reporting originating from Madrid, Spain, by NewsRx correspondents, research stated, "Robotic missions for solar farm inspection demand agile and precise object detection strategies." Funders for this research include Madrid Government; Spanish Ministry of Science And Innovation; Ratec. Our news correspondents obtained a quote from the research from Universidad Politecnica de Madrid: "This paper introduces an innovative keypoint-based object detection framework specifically designed for real-time solar farm inspections with UAVs. Moving away from conventional bounding box or segmentation methods, our technique focuses on detecting the vertices of solar panels, which provides a richer granularity than traditional approaches. Drawing inspiration from CenterNet, our architecture is optimized for embedded platforms like the NVIDIA AGX Jetson Orin, achieving close to 60 FPS at a resolution of 1024 x 1376 pixels, thus outperforming the camera's operational frequency. Such a real-time capability is essential for efficient robotic operations in time-critical industrial asset inspection environments. The design of our model emphasizes reduced computational demand, positioning it as a practical solution for real-world deployment."

    Ningbo No.2 Hospital Reports Findings in Artificial Intelligence (Noninvasive Assessment of Kidney Injury by Combining Structure and Function Using Artificial Intelligence-Based Manganese- Enhanced Magnetic Resonance Imaging)

    49-49页
    查看更多>>摘要:New research on Artificial Intelligence is the subject of a report. According to news reporting from Ningbo, People's Republic of China, by NewsRx journalists, research stated, "Contrastenhanced magnetic resonance imaging (MRI) is seriously limited in kidney injury detection due to the nephrotoxicity of clinically used gadolinium-based contrast agents. Herein, we propose a noninvasive method for the assessment of kidney injury by combining structure and function information based on manganese (Mn)-enhanced MRI for the first time."

    Study Results from Tongji University Provide New Insights into Androids (An Active Strategy for Safe Human-robot Interaction Based On Visual-tactile Perception)

    50-51页
    查看更多>>摘要:Researchers detail new data in Robotics - Androids. According to news reporting out of Shanghai, People's Republic of China, by NewsRx editors, research stated, "Ensuring safety is crucial for robots collaborating with humans in a shared workspace. Current human-robot interaction (HRI) safety strategies focus on either precollision motion replanning or postcollision force control, using unimodal perception." Funders for this research include National Key Research and Development Program of China, National Natural Science Foundation of China (NSFC), Science & Technology Commission of Shanghai Municipality (STCSM).

    New Findings in Machine Learning Described from University of Edinburgh (Use of digital image correlation and machine learning for the optimal strain placement in a full-scale composite tidal turbine blade)

    51-52页
    查看更多>>摘要:New research on artificial intelligence is the subject of a new report. According to news originating from the University of Edinburgh by NewsRx editors, the research stated, "One of the challenges testing and health monitoring of large structures represents is getting as much information as possible from a specimen with a limited number of sensors." The news reporters obtained a quote from the research from University of Edinburgh: "In this work, a data-driven approach was pursued to decide the optimal location of single-point strain gauges using machine learning algorithms (MLA) and information from Digital Image Correlation (DIC) measurements. The optimal strain gauge placement was computed for a range of sensor numbers and the presence of sensors in the high-gradient regions was identified."

    Shanxi Datong University Researcher Updates Understanding of Robotics (Construction of Mining Robot Equipment Fault Prediction Model Based on Deep Learning)

    52-53页
    查看更多>>摘要:Investigators discuss new findings in robotics. According to news reporting from Datong, People's Republic of China, by NewsRx journalists, research stated, "In the field of mining robot maintenance, in order to enhance the research on predictive modeling, we introduce the LODS model (long short-term memory network (LSTM) optimized deep fusion neural network (DFNN) with spatiotemporal attention network (STAN))." Funders for this research include Science And Technology Innovation Program of Higher Education Institutions.

    Helsinki Region Environmental Services Authority (HSY) Researchers Release New Data on Machine Learning (Constructing transferable and interpretable machine learning models for black carbon concentrations)

    53-54页
    查看更多>>摘要:Current study results on artificial intelligence have been published. According to news originating from Helsinki, Finland, by NewsRx correspondents, research stated, "Black carbon (BC) has received increasing attention from researchers due to its adverse health effects. However, in-situ BC measurements are often not included as a regulated variable in air quality monitoring networks." Funders for this research include European Commission; Research Council of Finland.

    New Robotics Research Reported from SRM Institute of Science and Technology (AViTRoN: Advanced Vision Track Routing and Navigation for Autonomous Charging of Electric Vehicles)

    54-55页
    查看更多>>摘要:A new study on robotics is now available. According to news reporting originating from Chennai, India, by NewsRx correspondents, research stated, "The ascent of electric vehicle (EV) technology as a leading solution for green transportation is accompanied by advancements in charging infrastructure and automation." Funders for this research include Government of India, Department of Science And Technology (Dst) Science And Engineering Research Board (Serb) Core Research.

    Shanghai University Researcher Details Findings in Cyborg and Bionic Systems (Exploring into the Unseen: Enhancing Language- Conditioned Policy Generalization with Behavioral Information)

    55-56页
    查看更多>>摘要:Current study results on cyborg and bionic systems have been published. According to news originating from Shanghai, People's Republic of China, by NewsRx correspondents, research stated, "Generalizing policies learned by agents in known environments to unseen domains is an essential challenge in advancing the development of reinforcement learning." The news journalists obtained a quote from the research from Shanghai University: "Lately, languageconditioned policies have underscored the pivotal role of linguistic information in the context of crossenvironments. Integrating both environmental and textual information into the observation space enables agents to accomplish similar tasks across different scenarios. However, for entities with varying forms of motion but the same name present in observations (e.g., immovable mage and fleeing mage), existing methods are unable to learn the motion information the entities possess well. They face the problem of ambiguity caused by motion. In order to tackle this challenge, we propose the entity mapper with multimodal attention based on behavior prediction (EMMA-BBP) framework, comprising modules for predicting motion behavior and text matching. The behavioral prediction module is used to determine the motion information of the entities present in the environment to eliminate the semantic ambiguity of the motion information."