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    Findings from Newcastle University Update Knowledge of Machine Learning (A Unifi ed Cross-series Marine Propeller Design Method Based On 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 - Researchers detail new data in Machine Learning. According to news reporting fromNewcastle upon Tyne, United Kingdom, by NewsRx journalists, research stated, “Propeller design diagrams,like Bp-del ta diagram, are widely applied in ship propeller design. However, different prop eller series usevarious selection approaches, so comparisons between designs ar e only possible after individual candidatesare chosen.”

    Researchers at University of Nottingham Report New Data on Machine Learning [Investigation of a Model Predictive Control (Mpc) Strategy for Seasonal Thermoch emical Energy Storage Systems In District Heating Networks]

    70-71页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - A new study on Machine Learning is now available. According to news reportingoriginating from Nottingham, United King dom, by NewsRx correspondents, research stated, “This researchinvestigates the integration of model predictive control (MPC) with seasonal thermochemical energ ystorage systems (STES) within district heating networks, focusing on the Notti ngham district heating asa case study. The primary aim is to develop an MPC str ategy that utilizes machine learning models foraccurate heat load forecasting.”

    Investigators at Brunel University London Detail Findings in Machine Learning (F orecasting Digital Asset Return: an Application of Machine Learning Model)

    71-72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 Uxbridge, United Kingdom, by NewsRx editors, research stated, “In this study, we aim to identify themachine learning model that can overcome the limitations of traditional statistical mod elling techniquesin forecasting Bitcoin prices. Also, we outline the necessary conditions that make the model suitable.”Our news journalists obtained a quote from the research from Brunel University L ondon, “We drawon a multivariate large data set of Bitcoin prices and its marke t microstructure variables and apply threemachine learning models, namely doubl e deep Q-learning, XGBoost and ARFIMA-GARCH. The findingsshow that the double d eep Q-learning model outperforms the others in terms of returns and Sortino ratio and is capable of one-step-ahead sign forecast of the returns even on syntheti c data.”

    Researchers from BRAC University Publish New Studies and Findings in the Area of Machine Learning (Climate data dynamics: A high-volume real world structured we ather datasetMendeley Data)

    72-72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 ar tificial intelligence. According to news reportingoriginating from Dhaka, Bangl adesh, by NewsRx correspondents, research stated, “The dataset at hand is auniq ue resource, officially procured from the Bangladesh Meteorological Department, the sole governmentinstitution that diligently monitors weather through 35 stra tegically placed weather stations across thenation.”

    Study Results from Xi’an University of Technology Update Understanding of Machin e Learning (Drought Characteristics Prediction Using a Hybrid Machine Learning M odel With Correction)

    72-73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 reporting originating in Shaanxi, People’s Re public of China, by NewsRx journalists, research stated, “Droughtprediction is a crucial aspect of drought risk assessment, playing a significant role in effec tively minimizinglosses associated with droughts. While many previous studies h ave focused on the variations of droughtindices, understanding the impact of dr ought events requires a transformation into drought characteristicssuch as seve rity and duration.”

    Studies Conducted at University of Oslo on Machine Learning Recently Reported (M orphology of Lithium Halides In Tetrahydrofuran From Molecular Dynamics With Mac hine Learning Potentials)

    73-74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 in Oslo, Norway, by NewsRx j ournalists, research stated, “The preferred structures of lithiumhalides (LiX, with X = Cl, Br, I) in organic solvents have been the subject of a wide scientif ic debate, anda large variety of forms has been isolated and characterized by X -ray diffraction. The identified molecular scaffolds for LiX are diverse, often built on (LiX)n rings with a prevalence of rhomboidal arrangements andan approp riate number of solvent or Lewis base molecules coordinating the lithium ions.”

    Findings from Johns Hopkins University in the Area of Glaucoma Reported (Detecti ng Visual Field Worsening From Optic Nerve Head and Macular Optical Coherence To mography Thickness Measurements)

    74-75页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Data detailed on Eye Diseases and Cond itions - Glaucoma have been presented.According to news reporting from Baltimor e, Maryland, by NewsRx journalists, research stated, “Comparethe use of optic d isc and macular optical coherence tomography measurements to predict glaucomatou svisual field (VF) worsening Methods: Machine learning and statistical models w ere trained on 924 eyes(924 patients) with circumpapillary retinal nerve fiber layer (cp-RNFL) or ganglion cell inner plexiform layer (GC-IPL) thickness measur ements. The probability of 24-2 VF worsening was predicted using bothtrend-base d and event-based progression definitions of VF worsening.”

    Lomonosov Moscow State University Researcher Reveals New Findings on Artificial Intelligence ('death of The Author' in The Age of Artificial Intelligence)

    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 newsreporting out of Lomonosov Moscow Stat e University by NewsRx editors, research stated, “The article is devoted to the issues of transformation of authorship and subjectivity, which is observed in th e moderninformation space. The concept of ‘death of the author’, developed in t he 20th century philosophers ofpostmodernism (W.”

    Department of Urology Reports Findings in Surgical Technology (Safety and effica cy of the MP1000 surgical system in robotassisted radical cystectomy: A prospec tive study)

    76-77页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Surgery - Surgical Tec hnology is the subject of a report. Accordingto news reporting out of Beijing, People’s Republic of China, by NewsRx editors, research stated, “Robotassistedradical cystectomy (RARC) has become widely adopted due to its numerous advantag es, withthe da Vinci robotic surgical system being the most commonly used acros s the globe. However, the highcost limits its broader application.”

    New Agricultural Robots Findings from Zhejiang University Discussed (Design, Int egration, and Field Evaluation of a Selective Harvesting Robot for Broccoli)

    77-78页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Fresh data on Agriculture - Agricultur al Robots are presented in a new report. Accordingto news reporting originating from Hangzhou, People’s Republic of China, by NewsRx correspondents,research s tated, “The agronomic characteristics of broccoli necessitate selective harvesti ng in multiplebatches, highlighting an urgent need for a selective harvesting r obot to alleviate labour constraints.However, current research has inadequately addressed the problems of maturity identification of broccoliheads, fast and s afe movement of the manipulator, and efficient and stable end-effector.”