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    Findings on Machine Learning Reported by Investigators at University of Birmingh am (Forecasting Bitcoin Volatility Using Machine Learning Techniques)

    80-80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 to newsoriginating from Birmingham, Un ited Kingdom, by NewsRx correspondents, research stated, “This paperstudies the Bitcoin volatility forecasting performance between popular traditional economet ric models andmachine learning techniques.”

    Reports Summarize Machine Learning Study Results from Nanyang Technological Univ ersity (Machine Learning-based Inputaugmented Koopman Modeling and Predictive C ontrol of Nonlinear Processes)

    81-81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 reportingout of Singapore, Singapore, by New sRx editors, research stated, “Koopman-based modeling and modelpredictive contr ol have been a promising alternative for optimal control of nonlinear processes. GoodKoopman modeling performance significantly depends on an appropriate nonli near mapping from theoriginal state-space to a lifted state space.”

    University Peruana Cayetano Heredia Reports Findings in Machine Learning (Machin e Learning Algorithms for Neurosurgical Preoperative Planning: A Comprehensive S coping Review)

    82-82页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - New research on Machine Learning is the subject o f a report. According to news reportingoriginating from Lima, Peru, by NewsRx c orrespondents, research stated, “Preoperative neurosurgicalplanning is a keen s tep to avoiding surgical complications, reducing morbidity, and improving patient safety. The incursion of machine learning (ML) in this domain has recently gai ned attention, giventhe notable advantages in processing large data sets and po tentially generating efficient and accuratealgorithms in patient care.”

    Reports from University of Miami Advance Knowledge in Machine Learning (Predicti ve and Experimental Assessment of Chloride Ion Permeation In Concrete Subjected To Multi-factorial Conditions Using the Xgboost Algorithm)

    83-84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 from Coral Gables,Florida, by NewsRx journalists, research stated, “Chloride ions infiltrate concrete structures, causing corrosion of the steel reinforcement, which creates concrete spalling and decreases load -bearing capacity, ultimatelyleading to structural failure. Thus, it is essenti al to comprehend the diffusion process of chloride ions inconcrete.”

    University Hospital Munster Reports Findings in Brain Cancer (Machine and Deep L earning in Hyperspectral Fluorescence-Guided Brain Tumor Surgery)

    84-85页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Oncology - Brain Cance r is the subject of a report. According to newsreporting originating from Munst er, Germany, by NewsRx correspondents, research stated, “Malignantglioma resect ion is often the first line of treatment in neuro-oncology. During glioma surger y, thediscrimination of tumor’s edges can be challenging at the infiltration zo ne, even by using surgical adjunctssuch as fluorescence guidance (e.g., with 5- aminolevulinic acid).”

    Study Data from Army Engineering University Update Knowledge of Machine Learning (Enhancing Building Energy Efficiency: an Integrated Approach To Predicting Hea ting and Cooling Loads Using Machine Learning and Optimization Algorithms)

    85-86页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - New research on Machine Learning is the subject o f a report. According to news originating fromJiangsu, People’s Republic of Chi na, by NewsRx correspondents, research stated, “Predicting cooling andheating l oads is essential for efficient building energy management in order to maintain indoor comfort.This study employs machine learning methods containing Support V ector Regression (SVR), ExtremeGradient Boosting (XGB), and a Dempster-Shafer T heory-based ensemble model using a dataset of 768samples. 5-fold cross-validati on selects 80 % of the dataset for training, with optimization alg orithmslike Coot, Dingo, and Sea-Horse Optimizers fine-tuning model applicabili ty.”

    New Data from China University of Geosciences Illuminate Findings in Machine Lea rning (A Review of Machine Learning Applications To Geophysical Logging Inversio n of Unconventional Gas Reservoir Parameters)

    86-87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 be en published. According to news reportingoriginating from Beijing, People’s Rep ublic of China, by NewsRx correspondents, research stated, “Reservoirparameters are crucial indicators for reservoir evaluation and development and provide ins ights intolong-term reservoir behavior. The primary methods for evaluating thes e parameters include direct coreobservations, experimental testing, and indirec t evaluation techniques.”

    Study Results from Al-Farabi Kazakh National University Update Understanding of Machine Learning (Novel Filtering and Regeneration Technique With Statistical Fe ature Extraction and Machine Learning for Automatic Modulation Classification)

    87-88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 Ma chine Learning. According to news reportingoriginating from Alma Ata, Kazakhsta n, by NewsRx correspondents, research stated, “Automatic modulationclassificati on (AMC) plays a crucial role in the stages of processing signals from unknown s ourcesand monitoring the airwaves. This paper presents an AMC method based on m achine learning (ML) usingconstellation diagrams, distribution test function an d high-order cumulants (HOCs) and novel filteringand regeneration technique.”

    Georgia Institute of Technology Reports Findings in Machine Learning (Screening Environmentally Benign Ionic Liquids for CO2 Absorption Using Representation Unc ertainty-Based Machine Learning)

    88-89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 th e subject of a report. According to newsreporting originating from Atlanta, Geo rgia, by NewsRx correspondents, research stated, “Screening ionicliquids (ILs) with low viscosity, low toxicity, and high CO absorption using machine learning (ML) modelsis crucial for mitigating global warming. However, when candidate IL s fall into the extrapolation zone ofML models, predictions may become unreliab le, leading to poor decision-making.”

    Research Results from University of Trento Update Understanding of Artificial In telligence (Artificial Intelligence Vision Methods for Robotic Harvesting of Edi ble Flowers)

    89-89页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Fresh data on artificial intelligence are presented in a new report. According tonews reporting from Trento, Italy, b y NewsRx journalists, research stated, “Edible flowers, with theirincreasing de mand in the market, face a challenge in labor-intensive hand-picking practices, hinderingtheir attractiveness for growers.”