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    Reports from Indian Institute of Technology (IIT) Patna Advance Knowledge in Mac hine Learning (Enhancing Ev Lithium-ion Battery Management: Automated Machine Le arning for Early Remaining Useful Life Prediction With Innovative Multi-health . ..)

    1-2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 from Bihar, India, by NewsRx correspondents, research stated, “Addressing the need for multiple health indicators is critical to improving prediction accuracy and reducing the limita tion of reliance on a single health indicator. This paper presents an AutoML mod el for accurately forecasting the life span of lithium-ion batteries (LIBs) in e lectric vehicles.”

    Study Findings on Machine Learning Detailed by Researchers at Purdue University (Spam detection for Youtube video comments using machine learning approaches)

    2-2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 reporting out of Purdue University by NewsRx editors, research stated, “Machine Learning models have the ability to st reamline the process by which Youtube video comments are filtered between legiti mate comments (ham) and spam.” Financial supporters for this research include National Science Foundation. Our news correspondents obtained a quote from the research from Purdue Universit y: “In order to integrate machine learning models into regular usage on media-sh aring platforms, recent approaches have aimed to develop models trained on Youtu be comments, which have emerged as valuable tools for the classification and hav e enabled the identification of spam content and enhancing user experience. In t his paper, eight machine learning approaches are applied to spam detection for Y ouTube comments. The eight machine learning models include Gaussian Naive Bayes, logistic regression, K-nearest neighbors (KNN) classifier, multi-layer perceptr on (MLP), support vector machine (SVM) classifier, random forest classifier, dec ision tree classifier, and voting classifier. All eight models perform very well , specifically random forest approach can achieve almost perfect performance wit h average precision of 100% and AUC-ROC of 0.9841.”

    Findings from University of Birmingham Update Knowledge of Machine Learning (A M achine Learning Based Approach To Predict Road Rutting Considering Uncertainty)

    3-3页
    查看更多>>摘要: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 originating in Birmingham, United Kingdom , by NewsRx journalists, research stated, “Roads as vital public assets are the backbone for transportation systems and support constant societal development. R ecently, data-driven technologies such as digital twins and especially machine l earning have shown great potential to maintain the service level of the existing road infrastructure by accurate future condition modelling and optimal maintena nce treatment recommendations.”

    Findings from University of Technology Sydney Reveals New Findings on Machine Le arning (Blockchain-based Gradient Inversion and Poisoning Defense for Federated Learning)

    4-5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 originating from Ultimo, Australia, b y NewsRx correspondents, research stated, “Federated learning (FL) FL has emerge d as a promising privacy-preserving machine-learning technology, enabling multip le clients to collaboratively train a global model without sharing raw data. Wit h the increasing adoption of FL in Internet of Things (IoT) scenarios, concerns about security and privacy have become critical.” Financial support for this research came from Australian Research Council.

    Studies from Korea Energy Economics Institute Reveal New Findings on Artificial Intelligence (Utilization and challenges of artificial intelligence in the energ y sector)

    4-4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 ar tificial intelligence. According to news originating from Ulsan, South Korea, by NewsRx editors, the research stated, “This study harnesses structural topic mod eling and expert surveys to delve into the expanding influence of artificial int elligence (AI) within the energy sector, analyzing around 6000 academic paper ab stracts from 2011 to 2020.” The news editors obtained a quote from the research from Korea Energy Economics Institute: “Our detailed examination identified 100 distinct topics, of which 15 , accounting for a combined proportion of 16.4% of the total, were directly related to energy, highlighting key areas such as power consumption, t hermal energy management, wind energy evaluation, and building energy management . Furthermore, an expert survey offered deep insights into future changes, spotl ighting AI’s role in enhancing safety, stability, efficiency, and environmental sustainability of energy systems.”

    Findings from China Earthquake Administration Yields New Data on Support Vector Machines [Cumulative Absolute Velocity (Cav) Parameter Estima tion In Earthquake Emergency Response Based On a Support Vector Machine]

    5-6页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Support Vector Ma chines are discussed in a new report. According to news reporting originating fr om Harbin, People’s Republic of China, by NewsRx correspondents, research stated , “Rapid and accurate estimation of emergency response parameters during earthqu akes is important in earthquake early warning (EEW) systems.” Financial supporters for this research include Scientific Research Fund of Insti tute of Engineering Mechanics, China Earthquake Administration, National Natural Science Foundation of China (NSFC), R &D Fund Project of China Acad emy of Railway Science Corporation Limited.

    Purdue University Reports Findings in Seizures (Seizure prediction in stroke sur vivors who experienced an infection at skilled nursing facilities-a machine lear ning approach)

    6-7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 Nervous System Disease s and Conditions - Seizures is the subject of a report. According to news origin ating from West Lafayette, Indiana, by NewsRx correspondents, research stated, “ Infections and seizures are some of the most common complications in stroke surv ivors. Infections are the most common risk factor for seizures and stroke surviv ors that experience an infection are at greater risk of experiencing seizures.”

    Studies from Jilin University Have Provided New Information about Robotics (A No vel Approach for Robotic Welding Trajectory Recognition Based On Pseudo-binocula r Stereo Vision)

    7-8页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Fresh data on Robotics are presented in a new rep ort. According to news reporting originating in Changchun, People’s Republic of China, by NewsRx journalists, research stated, “For plane welds, positioning sea m, positioning arc-starting point, positioning arc-extinguishing point, and prog ramming trajectory are often achieved through inefficient teaching-playback mode . For solving this series of problems, a novel approach of 3D welding trajectory recognition based on pseudo-binocular stereo vision is proposed to endow robots with autonomy in the welding non -standard plane welds or batch plane welds.”

    King's College London Reports Findings in Anxiety Disorders (Anxiety and depress ion in patients with non-site-specific cancer symptoms: data from a rapid diagno stic clinic)

    8-9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 Mental Health Diseases and Conditions - Anxiety Disorders is the subject of a report. According to new s reporting originating in London, United Kingdom, by NewsRx journalists, resear ch stated, “Rapid diagnostic clinics (RDCs) provide a streamlined holistic pathw ay for patients presenting with non-site specific (NSS) symptoms concerning of m alignancy. The current study aimed to: 1) assess the prevalence of anxiety and d epression, and 2) identify a combination of patient characteristics and symptoms associated with severe anxiety and depression at Guy’s and St Thomas’ Foundatio n Trust (GSTT) RDC in Southeast London.”

    Data on Muscular Atrophy Reported by Ying'ao Chen and Colleagues (Deciphering th e environmental chemical basis of muscle quality decline by interpretable machin e learning models)

    10-10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 Musculoskeletal Diseas es and Conditions - Muscular Atrophy is the subject of a report. According to ne ws reporting originating in Zhejiang, People’s Republic of China, by NewsRx jour nalists, research stated, “Sarcopenia is known as a decline in skeletal muscle q uality and function that is associated with age. Sarcopenia is linked to diverse health problems, including endocrinerelated diseases.”