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    Georgia Institute of Technology Reports Findings in Machine Learning (Machine Learning Models for Predicting Molecular Diffusion in Metal-Organic Frameworks Accounting for the Impact of Framework Flexibility)

    66-67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 news originatingfrom Atlanta, Georgia, by NewsRx correspondents, research stated, “Molecular diffusion in MOFsplays an important role in determining whether equilibrium can be reached in adsorption-based chemicalseparations and is a key driving force in membrane-based separations. Molecular dynamics (MD) simulationshave shown that in some cases inclusion of framework flexibility in MOF changes predicted moleculardiffusivities by orders of magnitude relative to more efficient MD simulations using rigid structures.”

    Researchers from Moulay Ismail University Provide Details of New Studies and Findings in the Area of Artificial Intelligence (Optimization of tertiary building passive parameters by forecasting energy consumption based on artificial …)

    67-68页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New study results on artificial intelligence have been published. According to newsreporting originating from Meknes, Morocco, by NewsRx correspondents, research stated, “Energy consumptionin the tertial sector is largely attributed to cooling/heating energy consumption.”

    Shanghai Jiao Tong University School of Medicine Reports Findings in HIV/AIDS (Monkeypox Virus Crosstalk with HIV: An Integrated Skin Transcriptome and Machine Learning Study)

    68-69页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Immune System Diseases and Conditions - HIV/AIDS is the subject ofa report. According to news reporting from Shanghai, People’s Republic of China, by NewsRx journalists,research stated, “The emergence of the monkeypox virus (MPXV) outbreak presents a formidable challengeto human health. Emerging evidence suggests that individuals with HIV have been disproportionatelyaffected by MPXV, with adverse clinical outcomes and higher mortality rates.”Financial supporters for this research include Science and Technology Program of Hunan Province,Hunan Province.

    Research on Artificial Intelligence Described by Researchers at Sejong University (Artificial intelligence classification and amylose content prediction of rice flour varieties from their pasting features)

    69-70页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in artificial intelligence. According to news originating fromSeoul, South Korea, by NewsRx editors, the research stated, “The pasting features of eight varieties of riceflour with varying amylose content were characterized and then subjected to machine learning analysis inorder to classify the rice varieties and predict their amylose content.”Funders for this research include Rural Development Administration; National Research Foundation ofKorea; Ministry of Education; Ministry of Science, Ict And Future Planning.

    Findings from KTH Royal Institute of Technology Provides New Data about Robotics (Belief Control Barrier Functions for Riskaware Control)

    70-70页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Robotics is the subject of a report. According to news reportingoriginating in Stockholm, Sweden, by NewsRx journalists, research stated, “Ensuring safety in real-worldrobotic systems is often challenging due to unmodeled disturbances and noisy sensors. To account forsuch stochastic uncertainties, many robotic systems leverage probabilistic state estimators such as Kalmanfilters to obtain a robot’s belief, i.e. a probability distribution over possible states.”

    New Robotics Study Findings Recently Were Reported by Researchers at Suez Canal University (Enhanced Hybrid Path Planning Algorithm Based on Apf And A-star)

    71-72页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on robotics is the subject of a new report. According to news originating from Ismailia, Egypt, by NewsRx correspondents, research stated, “The use of robots had increased widely invarious fields, such as air transport systems, search and rescue, and agriculture, necessitating the needfor path planning and obstacle avoidance systems to ensure safe and autonomous navigation toward theintended goal.”

    Researchers from Pohang University of Science and Technology (POSTECH) Report Recent Findings in Robotics (A Hybrid AIBased Adaptive Path Planning for Intelligent Robot Arms)

    71-71页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on robotics are discussed in a new report. According to newsreporting out of Pohang, South Korea, by NewsRx editors, research stated, “Intelligent robot arms areadvanced robotic systems used in Industry 4.0 to perform complex tasks.”Financial supporters for this research include Foodtech Rnd Center Development And Support ProgramThrough The Gyeongbuk Technopark; Gyeonsangbuk And Pohang; National Research Foundation of Korea;Korea Government.

    New Findings from Xidian University in the Area of Support Vector Machines Described (A Co-optimization Method of Thermal-stress Coupling 3d Integrated System With Through Silicon Via)

    72-73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 Support Vector Machines. According to newsreporting out of Xi’an, People’s Republic of China, by NewsRx editors, research stated, “In this paper, aco-optimization design method for thermal-stress coupling 3-dimensional integrated system with throughsilicon via is proposed based on the finite element method, support vector machine model and modifiedparticle swarm optimization algorithm. In the cause of analyzing the effects of geometrical parameters(radius of through silicon via, oxide thickness and the height of oxide insolation layer) on the thermal-stress distribution, the finite element method based COMSOL software is conducted to simulate the thermal-stresscoupling 3-dimensional integrated system.”

    Study Results from University of Petroleum and Energy Studies Provide New Insights into Machine Learning (Analyzing Electric Vehicle Battery Health Performance Using Supervised Machine Learning)

    73-74页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Current study results on Machine Learning have been published. According to news reportingoriginating from Dehradun, India, by NewsRx correspondents, research stated, “Lithium-ion batteries havinghigh energy and power densities, fast depleting cost, and multifaceted technological improvement lead to the first choice for electric transportation systems. A noble supervised K nearest neighbors (KNN),support vector regressor (SVR), decision tree (DT), and random forest (RF) regressors machine learningalgorithm are developed with different accuracy and usefulness for the state of health estimation from directmeasurable indices of voltage, current, and temperature without inherited electrochemical characteristicslike voltage hysteresis, aging, degradation level, operational, and environmental effect.”

    Investigators from University of Tubingen Have Reported New Data on Machine Learning (Predicting and Explaining With Machine Learning Models: Social Science As a Touchstone)

    74-75页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Machine Learning are presented in a new report. According to newsreporting from Tubingen, Germany, by NewsRx journalists, research stated, “Machine learning (ML) modelsrecently led to major breakthroughs in predictive tasks in the natural sciences. Yet their benefits for the social sciences are less evident, as even high-profile studies on the prediction of life trajectories have shownto be largely unsuccessful - at least when measured in traditional criteria of scientific success.”