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    Data on Robotics Described by Researchers at Beijing Institute of Technology (Research On Robot Regrinding Trajectory Planning and Surface Characteristics of Damaged Blades)

    29-30页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Robotics. According to news originating fromBeijing, People’s Republic of China, by NewsRx correspondents, research stated, “Aeroengine blades are thepower components most relevant to the energy conversion process. Due to the harsh working environment,the blades are seriously damaged after service, which affects their dynamic performance.”

    University of Buenos Aires Reports Findings in Machine Learning (Is emotional support the key to improving emotion regulation? A machine learning approach)

    30-30页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is the subject of a report. According to newsoriginating from Buenos Aires, Argentina, by NewsRx correspondents, research stated, “According to theemotion regulation process, situation selection comprises actions that increase or decrease the likelihoodof being in contexts that foster a certain type of emotion, positive or negative. This concept is complementedby the social basis theory, which starts with the assumption that the primary ecology of humansis characterized by its social components.”

    Studies from Polytechnique Montreal Reveal New Findings on Robotics (Swarm-slam: Sparse Decentralized Collaborative Simultaneous Localization and Mapping Framework for Multi-robot Systems)

    31-31页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on Robotics have been presented. According to news reporting outof Montreal, Canada, by NewsRx editors, research stated, “Collaborative Simultaneous Localization AndMapping (C-SLAM) is a vital component for successful multi-robot operations in environments without anexternal positioning system, such as indoors, underground or underwater.”

    Indian Institute of Technology Madras Researchers Publish New Study Findings on Support Vector Machines [Pneumonia detection by binary classification: classical, quantum, and hybrid approaches for support vector machine (SVM)]

    31-32页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on . According to news reporting from Chennai, India, by NewsRx journalists, research stated, “Early diagnosis of pneumonia is crucial to increase the chances ofsurvival and reduce the recovery time of the patient.”Our news correspondents obtained a quote from the research from Indian Institute of TechnologyMadras: “Chest X-ray images, the most widely used method in practice, are challenging to classify. Ouraim is to develop a machine learning tool that can accurately classify images as belonging to normal orinfected individuals. A support vector machine (SVM) is attractive because binary classification can berepresented as an optimization problem, in particular as a Quadratic Unconstrained Binary Optimization(QUBO) model, which, in turn, maps naturally to an Ising model, thereby making annealing-classical,quantum, and hybrid-an attractive approach to explore. In this study, we offer a comparison betweendifferent methods: (1) a classical state-of-the-art implementation of SVM (LibSVM); (2) solving SVM witha classical solver (Gurobi), with and without decomposition; (3) solving SVM with simulated annealing; (4)solving SVM with quantum annealing (D-Wave); and (5) solving SVM using Graver Augmented Multi-seedAlgorithm (GAMA). GAMA is tried with several different numbers of Graver elements and a number ofseeds using both simulating annealing and quantum annealing.”

    Research from Medical College Provides New Data on Artificial Intelligence (Exploring the current and prospective role of artificial intelligence in disease diagnosis)

    32-33页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on artificial intelligence have been presented. According to news reportingoriginating from Medical College by NewsRx correspondents, research stated, “Artificial intelligence refersto the simulation of human intelligence processes by machines, especially computer systems, providingassistance in a variety of patient care and health systems.”

    Institute of Cancer Research Reports Findings in Artificial Intelligence (The artificial intelligence-based model ANORAK improves histopathological grading of lung adenocarcinoma)

    33-34页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Artificial Intelligence is the subject of a report. According to newsreporting from London, United Kingdom, by NewsRx journalists, research stated, “The introduction of theInternational Association for the Study of Lung Cancer grading system has furthered interest in histopathologicalgrading for risk stratification in lung adenocarcinoma. Complex morphology and high intratumoralheterogeneity present challenges to pathologists, prompting the development of artificial intelligence (AI)methods.”

    University Hospital Parma Reports Findings in Thyroidectomy (Mini-invasive video-assisted thyroidectomy vs robot-assisted transaxillary thryoidectomy: analisys and comparison of safety and outcomes)

    34-35页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Surgery - Thyroidectomy is the subject of a report. According tonews reporting originating in Parma, Italy, by NewsRx journalists, research stated, “Thyroid surgery ischaracterized by large volumes and typically affects a young female population. Mini-invasive or remoteaccess surgical techniques are born driven by the desire to improve aesthetic outcomes of the traditionaltechnique, following technological advances that have upset the surgical world in the last 20 years.”

    Ningbo No.2 Hospital Reports Findings in Hypertension (Plasma lipidomic profiling reveals six candidate biomarkers for the prediction of incident stroke in patients with hypertension)

    35-36页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Cardiovascular Diseases and Conditions - Hypertension is the subjectof a report. According to news reporting originating from Ningbo, People’s Republic of China, by NewsRxcorrespondents, research stated, “The burden of stroke in patients with hypertension is very high, and itsprediction is critical. We aimed to use plasma lipidomics profiling to identify lipid biomarkers for predictingincident stroke in patients with hypertension.”

    Technology Innovation Institute Researchers Focus on Machine Learning (Machine learning techniques for IoT security: Current research and future vision with generative AI and large language models)

    36-37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 artificial intelligence is now available. According to news originatingfrom Abu Dhabi, United Arab Emirates, by NewsRx correspondents, research stated, “Despite providingunparalleled connectivity and convenience, the exponential growth of the Internet of Things (IoT) ecosystemhas triggered significant cybersecurity concerns. These concerns stem from various factors, including theheterogeneity of IoT devices, widespread deployment, and inherent computational limitations.”

    University of Larbi Ben MHidi Reports Findings in Machine Learning (Utilizing the Maxent Machine Learning Model To Forecast Urban Heritage Sites In the Desert Regions of Southwestern Algeria: a Case Study In the Saoura Region)

    37-38页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Machine Learning are discussed in a new report. According tonews reporting out of Oum El Bouaghi, Algeria, by NewsRx editors, research stated, “The Saoura region, arenowned oasis in North Africa with heritage and archaeological significance of both national and universalimportance, has witnessed a gradual deterioration over time. This research involves archaeological predictivemodelling, aiming to create models capable of predicting the likelihood of discovering archaeological sites,cultural resources or evidence of past landscape use within a specific region.”