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    Peng Cheng Laboratory Reports Findings in Cancer (Cytokine ex- pression patterns: A single-cell RNA sequencing and machine learn- ing based roadmap for cancer classification)

    10-11页
    查看更多>>摘要:2024 FEB 27 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Cancer is the subject of a report. According to news reporting origi- nating from Shenzhen, People’s Republic of China, by NewsRx correspondents, research stated, “Cytokines are small protein molecules that exhibit potent immunoregulatory properties, which are known as the es- sential components of the tumor immune microenvironment (TIME). While some cytokines are known to be universally upregulated in TIME, the unique cytokine expression patterns have not been fully resolved in specific types of cancers.”

    Researcher at Korea University Reports Research in Machine Learn- ing (Advancement in Supercapacitors for IoT Applications by Using Machine Learning: Current Trends and Future Technology)

    11-12页
    查看更多>>摘要:2024 FEB 27 (NewsRx) – 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 reporting out of Sejong, South Korea, by NewsRx editors, research stated, “Supercapacitors (SCs) are gaining attention for Internet of Things (IoT) devices because of their impressive characteristics, including their high power and energy density, extended lifespan, significant cycling stability, and quick charge-discharge cycles. Hence, it is essential to make precise predictions about the capacitance and lifespan of supercapacitors to choose the appropriate materials and develop plans for replacement.” Funders for this research include Science Foundation Ireland.

    University of Science and Technology Reports Findings in Ischemia (Prediction of futile recanalisation after endovascular treatment in acute ischaemic stroke: development and validation of a hybrid machine learning model)

    12-13页
    查看更多>>摘要:2024 FEB 27 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Vascular Diseases and Conditions - Ischemia is the subject of a report. According to news reporting originating from Beijing, People’s Republic of China, by NewsRx cor- respondents, research stated, “Identification of futile recanalisation following endovascular therapy (EVT) in patients with acute ischaemic stroke is both crucial and challenging. Here, we present a novel risk stratification system based on hybrid machine learning method for predicting futile recanalisation.” Financial supporters for this research include Beijing Municipal Administration of Hospitals’ Youth Programme, National Natural Science Foundation of China.

    Investigators at University of Naples Federico Ⅱ Detail Findings in Machine Learning (A Fault Detection Strategy for an Epump During Eol Tests Based On a Knowledge-based Vibroacoustic Tool and Supervised Machine Learning Classifiers)

    13-14页
    查看更多>>摘要:2024 FEB 27 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Machine Learning. According to news reporting originating in Naples, Italy, by NewsRx journalists, research stated, “This paper presents a methodology for identifying faulty components in an electric pump during the end-of-line test based on accelerations and pressure pulsation data used to train an ensemble learning algorithm based on supervised machine learning classifiers. Despite various quality control measures in pump manufacturing, some out-of-tolerance components can pass through and end up on the assembly line, potentially leading to premature failure or abnormal noise during real-field operation.” Financial supporters for this research include Universit degli Studi di Napoli Federico II, Fluid-o-Tech s.rl.

    New Findings from Fuzhou University in Artificial Intelligence Pro- vides New Insights (Artificial Morality Basic Device: Transistor for Mimicking Morality Logics)

    14-15页
    查看更多>>摘要:2024 FEB 27 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Artificial Intelligence. According to news reporting originating from Fuzhou, People’s Republic of China, by NewsRx correspondents, research stated, “The extensive application of increasingly sophisticated artificial intelligence in life has promoted the artificial morality (AM) issue. The establishment and implementation of artificial ethics for robots are usually solved by passive program instructions, while active realization at the hardware level remains challenging.” Funders for this research include National Natural Science Foundation of China (NSFC), Fujian Science & Technology Innovation Laboratory for Optoelectronic Information of China.

    Findings from Southern University of Science and Technology (SUSTech) Update Understanding of Machine Learning (Machine- learning-assisted Soft Fiber Optic Glove System for Sign Language Recognition)

    15-16页
    查看更多>>摘要:2024 FEB 27 (NewsRx) – 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 from Shenzhen, People’s Republic of China, by NewsRx correspondents, research stated, “Sign language recognition devices are effective approaches to breaking the communication barrier between signers and non-signers and exploring human-machine interactions. Wearable gloves have been developed for gesture recognition and virtual reality applications by employing flexible sensors for motion detection and machine learning for data analysis.” Financial support for this research came from National Natural Science Foundation of China (NSFC).

    Researcher at Dongguk University Publishes New Data on Artificial Intelligence (A Fault Detection System for Wiring Harness Manu- facturing Using Artificial Intelligence)

    16-17页
    查看更多>>摘要:2024 FEB 27 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in artificial intelligence. According to news reporting from Seoul, South Korea, by NewsRx journalists, research stated, “Due to its simplicity, accuracy, and adaptability, Crimp Force Monitoring (CFM) has long been the standard for fault detection in wiring harness manufacturing.” Funders for this research include Korea Ministry of Smes And Startups. Our news correspondents obtained a quote from the research from Dongguk University: “However, it necessitates frequent reconfigurations based on the variability in materials, dependency on operator skill, and high costs of implementation, and thus reconfiguration presents significant challenges. To solve these problems, this paper introduces a fault detection system that employs an Artificial Intelligence (AI) classification model to enhance the performance and cost-efficiency of the quality control process of wiring harness manufacturing. Since there are no labeled data to train the classification model at the onset of manufacturing, a small number of normal data from each production run are manually extracted to train the model.”

    Report Summarizes Machine Learning Study Findings from Nan- jing University (Exploratory Machine Learning With Unknown Un- knowns)

    17-17页
    查看更多>>摘要:2024 FEB 27 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Machine Learning. According to news reporting from Nanjing, People’s Republic of China, by NewsRx journalists, research stated, “In conventional supervised learning, a training dataset is given with ground -truth labels from a known label set, and the learned model will classify unseen instances to known labels. This paper studies a new problem setting in which there are unknown classes in the training data misperceived as other labels, and thus their existence appears unknown from the given supervision.”

    Investigators from University of Notre Dame Target Machine Learn- ing (Examining the Role of Passive Design Indicators In Energy Burden Reduction: Insights From a Machine Learning and Deep Learning Approach)

    18-18页
    查看更多>>摘要:2024 FEB 27 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learning have been published. According to news reporting from Notre Dame, Indiana, by NewsRx journalists, research stated, “Passive design characteristics (PDC) play a pivotal role in reducing the energy burden on households without imposing additional financial constraints on project stakeholders. However, the scarcity of PDC data has posed a challenge in previous studies when assessing their energy-saving impact.” Funders for this research include Lucy Institute of Data and Society, University of Notre Dame, NIH National Library of Medicine (NLM), NIH National Institute on Minority Health & Health Disparities (NIMHD).

    Study Findings from Texas A&M University Broaden Understanding of Machine Learning (A Machine Learning Approach for Gas Kick Identification)

    19-19页
    查看更多>>摘要:2024 FEB 27 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is the subject of a report. According to news reporting out of College Station, Texas, by NewsRx editors, research stated, “Warning signs of a possible kick during drilling operations can either be primary (flow rate increase and pit gain) or secondary (drilling break and pump pressure decrease). Drillers rely on pressure data at the surface to determine in- situ downhole conditions while drilling.” Funders for this research include International Research Collaboration Co-fund (IRCC), TAMUQ Re- search Impact Project Fund, IRCC.