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    Data on Machine Learning Detailed by Researchers at Indian Institute of Technolo gy (IIT) Kharagpur (Machine-learning-based Prediction of Gas Hydrate Dynamics: a Comparison With a Fundamental Model Against Experimental Data)

    68-69页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in Machine Learning. According to news reportingfrom Kharagpur, India, by NewsRx j ournalists, research stated, “Gas hydrate has emerged as a potentialsource of e nergy (i.e., natural gas) and is one of the prime factors in climate change. In this work, we formulate the complex formation and growth dynamics of gas hydrate s occurring in pure and saline waterwith/without porous media.”

    Researchers from New Mexico Institute of Mining and Technology Report Recent Fin dings in Machine Learning (Esp Vibration Prediction Based On Pump Operating Cond itions In Laboratory Using Machine Learning)

    69-70页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on Machine Learning have been presented. According to news reportingfrom Socorro, New Mexico, by NewsRx journalists, research stated, “Electric Submersible Pump (ESP) isan effective artificial lift method of pumping medium to high production fluids. However, it is prone tofailure because most of the system is located downhole.”

    Study Results from Indian Institute for Technology in the Area of Artificial Int elligence Reported (Integration of Artificial Intelligence and Quantum Transport Toward Stereoselective Identification of Carbohydrate Isomers)

    70-71页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators discuss new findings in Artificial Intelligence. According to news reporting from MadhyaPradesh, India, by NewsRx journalists, research stated, “Detection of stereoisomers of carbohydrateswith molecular resolution, a challenging goal analysts desire to achieve, is key to t he full developmentof glycosciences. Despite the promise that analytical techni ques made, including widely used nuclear magnetic resonance and mass spectrometr y, high throughput de novo carbohydrate sequencing remainsan unsolved issue.”

    New Machine Learning Study Findings Have Been Reported by Investigators at Zheji ang University (Quantitatively Comparing the Morphological Influences On the Coo l Island Effect In Urban Waterfront Blue-green Spaces Across Six Cities Near 30 n)

    71-72页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in Machine Learning. According to news originatingfrom Hangzhou, People’s Republic of China, by NewsRx correspondents, research stated, “Urban bluegreenspaces ( BGS) are a proven strategy to mitigate urban heat islands, reduce energy consump tion,and improve public health.”

    Studies from Nicolaus Copernicus University in Torun Provide New Data on Machine Learning (Tuning Ferulic Acid Solubility in Choline-Chloride- and Betaine-Based Deep Eutectic Solvents: Experimental Determination and Machine Learning Modelin g)

    72-73页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in artificial intelligence. According to news reportingoriginating from Bydgoszcz, Poland, by NewsRx correspondents, research stated, “Deep eutectic solvents(DES ) represent a promising class of green solvents, offering particular utility in the extraction anddevelopment of new formulations of natural compounds such as ferulic acid (FA). The experimental phaseof the study undertook a systematic in vestigation of the solubility of FA in DES, comprising choline chlorideor betai ne as hydrogen bond acceptors and six different polyols as hydrogen bond donors. ”

    Investigators at Huazhong University of Science and Technology Describe Findings in Machine Learning (Machine Learning Modeling of the Capacitive Performance of N-doped Porous Biochar Electrodes With Experimental Verification)

    73-74页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According tonews reporting originating from Wuhan, Peo ple’s Republic of China, by NewsRx correspondents, researchstated, “N-doped por ous biochar is considered as a promising carbon material for supercapacitor electrodes application. However, the intrinsic relations and effect mechanisms of th e pore structure and Ndopingto the capacitive performance are still inscrutabl e, giving rise to the challenges for enhancing thecapacitive performance by reg ulating the physicochemical properties of N-doped biochar.”

    Data on Machine Learning Described by Researchers at Van Lang University (Hybrid Machine Learning With Optimization Algorithm and Resampling Methods for Patch L oad Resistance Prediction of Unstiffened and Stiffened Plate Girders)

    74-75页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – A new study on Machine Learning is now available. According to news reporting out of Ho ChiMinh City, Vietnam, by NewsRx editors , research stated, “This paper aims to propose a new hybridMachine Learning (ML ) with Egret Swarm Optimization Algorithm (ESOA) and Weighted RelevancebasedCo mbination Strategy (WERCS) methods for predicting the patch loading resistance ( PLR) ofboth longitudinally unstiffened and stiffened plate girders. A dataset o f both stiffened and unstiffenedplate girders under patch loading are collected and used for training and testing to generate the proposedmodels.”

    Research from University of Calabria Provides New Study Findings on Artificial I ntelligence (Artificial intelligence and project management: An empirical invest igation on the appropriation of generative Chatbots by project managers)

    75-76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 intelligen ce have been presented. According to newsoriginating from the University of Cal abria by NewsRx editors, the research stated, “The integration ofgenerative AI tools, such as chatbots, into project management is revolutionizing the field. T his paperexplores how project managers are adopting and adapting these tools, s pecifically focusing on ChatGPT,for enhanced project management.”

    Findings on Machine Learning Reported by Investigators at Federal University Rio Grande do Sul (Models for Analysing the Economic Impact of Ore Sorting, Using R oc Curves)

    76-77页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According to newsreporting originating in Porto Alegre , Brazil, by NewsRx journalists, research stated, “The past decadehas seen a re newed possibility of using machine learning algorithms to solve a large collecti on of problemsin several fields. Data acquisition for mining operations has inc reased with the growth in sensor-basedtechnologies, and therefore the amount of information available for mining applications has dramaticallyincreased.”

    New Findings on Machine Learning from Delhi Technological University Summarized (Predictive Design of Ksni3-based Perovskite Solar Cells Using Scaps and Machine Learning Model)

    77-78页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in Machine Learning. According to news originatingfrom Delhi, India, by NewsRx cor respondents, research stated, “The commercial application of lead (Pb)-based Per ovskite Solar Cells (PSCs) are restrained due to its toxicity. In this work, we have investigatedpotassium tin iodide (KSnI3) which is a potential candidate fo r non-lead PSC.”