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    Universidade do Estado da Bahia Researcher Publishes New Data on Machine Learning (Balance of Nitrate and Ammonium in Tropical Soil Conditions: Soil Factors Ana lyzed by Machine Learning)

    10-11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 originating from Bahia, Brazi l, by NewsRx correspondents, research stated, “The nitrogen/N dynamic is complex and affected by soil management (i.e., residue accumulation and correction/fert ilization).” Financial supporters for this research include Oordenacao De Aperfeicoamento De Pessoal De Nivel Superior.

    New Machine Learning Data Have Been Reported by Investigators at Chongqing University (Quantitative Prediction of Mg-re-ni Alloy Corrosion Behavior By Machine Learning)

    11-12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 out of Chongqing, People’s Republic of China, by NewsRx editors, research stated, “In this work, a predicti on model, which can be used to reveal the corrosion mechanism and behavior of Mg -RE-Ni alloys, was successfully developed with machine learning.”

    Study Results from University of Technology Malaysia Provide New Insights into M achine Learning (Enhancing IoT security: A comparative study of feature reductio n techniques for intrusion detection system)

    12-13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 from the University of Techno logy Malaysia by NewsRx journalists, research stated, “Internet of Things (IoT) devices are extensively utilized but are susceptible to cyberattacks, posing sig nificant security challenges. To mitigate these threats, machine learning techni ques have been implemented for network intrusion detection in IoT environments.”

    Studies from University of Bayreuth Yield New Information about Machine Learning (Adapting Explainable Machine Learning To Study Mechanical Properties of 2d Hyb rid Halide Perovskites)

    13-14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 originating in Bayreuth, Ge rmany, by NewsRx journalists, research stated, “2D hybrid organic and inorganic perovskites (HOIPs) are used as capping layers on top of 3D perovskites to enhan ce their stability while maintaining the desired power conversion efficiency (PC E). Therefore, the 2D HOIP needs to withstand mechanical stresses and deformatio ns, making the stiffness an important observable.”

    Sichuan University Reports Findings in Brain Injury (Development of predictive m odel for the neurological deterioration among mild traumatic brain injury patien ts using machine learning algorithms)

    14-15页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on Central Nervous System Diseases a nd Conditions - Brain Injury is the subject of a report. According to news repor ting out of Chengdu, People’s Republic of China, by NewsRx editors, research sta ted, “Mild traumatic brain injury (mTBI) comprises a majority of traumatic brain injury (TBI) cases. While some mTBI would suffer neurological deterioration (ND ) and therefore have poorer prognosis.”

    Research from Northwestern University in the Area of Robotics Published (Learning to Control Complex Robots Using High- Dimensional Body-Machine Interfaces)

    15-16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 from Chicago, United States, by NewsRx correspondents, research stated, “When individuals are paralyzed from inj ury or damage to the brain, upper body movement and function can be compromised. ” Funders for this research include National Institute of Biomedical Imaging And B ioengineering; Eunice Kennedy Shriver National Institute of Child Health & Human Development (Nichd) of The National Institutes of Health; National Science Foundation; National Institute on Disability, Independent Living And Rehabilita tion Research; European Union’s Horizon 2020 Research And Innovation Program Und er The Marie Sklodowska-curie, Project Rebot.

    Findings on Intelligent Systems Discussed by Investigators at Zhengzhou University of Light Industry (Online Optimal Tracking Control of Unknown Nonlinear Singu larly Perturbed Systems Using Single Network Adaptive Critic With Improved Learning)

    16-17页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Machine Learning - Inte lligent Systems is now available. According to news originating from Zhengzhou, People’s Republic of China, by NewsRx correspondents, research stated, “This stu dy is the first time devoted to seek an online optimal tracking solution for unk nown nonlinear singularly perturbed systems based on single network adaptive cri tic (SNAC) design. Firstly, a novel identifier with more efficient parametric mu lti-time scales differential neural network (PMTSDNN) is developed to obtain the unknown system dynamics.”

    Studies from Hefei University of Technology Have Provided New Information about Machine Learning (Optimization and Prediction of Catalysts for Precise Synthesis of Methyl Glycolate From Dimethyl Oxalate Using Machine Learning Coupled With . ..)

    17-17页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Current study results on Machine Learning have be en published. According to news reporting out of Hefei, People’s Republic of Chi na, by NewsRx editors, research stated, “To optimize and predict the catalyst fo r precise synthesis of methyl glycolate (MG) from dimethyl oxalate, this study p roposed a six-step machine learning framework coupled with a particle swarm opti mization algorithm. The random forest (RF) model has the highest prediction accu racy after optimizing its hyperparameters.”

    Beijing Forestry University Researchers Report Recent Findings in Machine Learni ng (Improving Urban Forest Expansion Detection with LandTrendr and Machine Learning)

    18-19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 from Beijing, People ’s Republic of China, by NewsRx journalists, research stated, “Annual urban fore st expansion dynamics are crucial for assessing the benefits and potential issue s associated with vegetation accumulation over time. LandTrendr (Landsat-Based D etection of Trends in Disturbance and Recovery) can efficiently detect the dynam ics of interannual land cover change, but it has difficulty distinguishing urban forest expansion from urban surface rapid conversions, as changes are usually filtered by magnitude-of-change thresholds.”

    Reports Outline Machine Learning Research from Indian Institute of Technology (Machine learning-enhanced optimal catalyst selection for water-gas shift reaction )

    18-18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 artificial intelligence. According to news reporting out of West Bengal, India, by NewsRx editors, research stated, “The water-gas shift (WGS) reaction is pivot al in industries aiming to convert carbon monoxide, a byproduct of steam reformi ng of methane and other hydrocarbons, into carbon dioxide and hydrogen.”