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    New Intelligent Systems Study Results from Nanchang University Described (Popula tion State-driven Surrogate-assisted Differential Evolution for Expensive Constr ained Optimization Problems With Mixed-integer Variables)

    60-61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 - Intelligent Systems. According to news reporting originating in Jiangxi, People's Republic of China, by NewsRx journalists, research stated, “M any surrogate-assisted evolutionary algorithms (SAEAs) have been shown excellent search performance in solving expensive constrained optimization problems (ECOP s) with continuous variables, but few of them focus on ECOPs with mixed-integer variables (ECOPs-MI). Hence, a population state-driven surrogateassisted differ ential evolution algorithm (PSSADE) is proposed for solving ECOPs-MI, in which t he adaptive population update mechanism (APUM) and the collaborative framework o f global and local surrogate-assisted search (CFGLS) are combined effectively.”

    Research on Robotics Reported by Researchers at Universitas Mercu Buana (Problem solving path planning and path tracking in a 3 DOF hexapod robot using the RRT* algorithm with path optimization and Pose-to-Pose)

    61-62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 from the Universitas Mercu Buana by NewsRx correspondents, research stated, “Path planning is one of the most funda mental problems that must be solved before a robot can navigate and explore auto nomously. Path planning needs to be integrated with path tracking to be applied to autonomous robots.”

    Guangzhou Medical University Reports Findings in Squamous Cell Carcinoma (Advanc ing NSCLC pathological subtype prediction with interpretable machine learning: a comprehensive radiomics-based approach)

    62-63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 - Squamous Ce ll Carcinoma is the subject of a report. According to news reporting from Guangd ong, People's Republic of China, by NewsRx journalists, research stated, “This r esearch aims to develop and assess the performance of interpretable machine lear ning models for diagnosing three histological subtypes of non-small cell lung ca ncer (NSCLC) utilizing CT imaging data. A retrospective cohort of 317 patients d iagnosed with NSCLC was included in the study.”

    Investigators at Sam Houston State University Report Findings in Artificial Inte lligence (Assessment of Artificial Intelligence To Detect Gasoline In Fire Debri s Using Hs-spme-gc/ms and Transfer Learning)

    63-64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 Artificial In telligence have been published. According to news reporting originating in Hunts ville, Texas, by NewsRx journalists, research stated, “Due to the complex nature of the chemical compositions of ignitable liquids (IL) and the interferences fr om fire debris matrices, interpreting chromatographic data poses challenges to a nalysts. In this work, artificial intelligence (AI) was developed by transfer le arning in a convolutional neural network (CNN), GoogLeNet.”

    Researchers from Eindhoven University of Technology Detail New Studies and Findi ngs in the Area of Robotics (Comfortable Crossing Strategies for Robots)

    64-65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 Eindhoven, Netherlands, by Ne wsRx journalists, research stated, “Increasingly often robots are deployed in hu man environments, where they will encounter people. An example of a challenge ro bots encounter is crossing paths with a human.”

    Findings from Humboldt University Provide New Insights into Machine Learning (The Future of Computational Catalysis)

    65-66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 Machine Learning have been presented. According to news reporting originating from Berlin, Germany, b y NewsRx editors, the research stated, “The future of computational heterogeneou s catalysis is shaped by machine learning in two different but equally important areas: (i) development of atomistic potentials that closely approximate DFT and wavefunction based ab initio methods (MP2, CCSD(T)), but are computationally mo re efficient, and (ii) finding structure and reactivity descriptors for predicti ng catalytic materials and reactions.”

    University of Ottawa Reports Findings in Artificial Intelligence (Role of Artifi cial Intelligence in Improving Syncope Management)

    66-67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 in Ottawa, Canada, by NewsRx journalists, research stated, “Syncope is common in the gener al population and is a common presenting symptom in acute care settings. Substan tial costs are attributed to care of patients with syncope.”

    Studies from Liaoning Technical University Further Understanding of Machine Lear ning (Metallogenic Prediction Based On Fractal Theory and Machine Learning In Du obaoshan Area, Heilongjiang Province)

    67-68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 from Liaoning, People's Rep ublic of China, by NewsRx journalists, research stated, “The extraction and inte grated analysis of multi-source geological data are key steps in the prediction of mineralization. Current studies are focusing on the extraction and integratio n of the deep-level mineralization information.”

    University of Catania Reports Findings in Robotics (Robotic surgery for thymic c ysts: clinical features, management, and results of a multicentric study)

    68-69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 Robotics is the subjec t of a report. According to news reporting originating in Catania, Italy, by New sRx journalists, research stated, “Thymic cysts are rare, radiological diagnosis is often incidental, and cysts seldom assume clinical relevance for symptoms of compression. Thymoma were occasionally found inside both complex and simple thy mic cysts.”

    New Machine Learning Findings from Bhubaneswar Described (A Smart Secure model f or Detection of DDoS Malicious Traces in Integrated LEO Satellite-Terrestrial Co mmunications)

    69-70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 reporting out of Bhubaneswar, India, by NewsRx editors, research stated, “For many researchers, defense against DDoS at tacks has always been a major subject of attention.”