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    Reports on Machine Learning Findings from Technical University of Denmark (DTU)Provide New Insights (Developing Correction Factors for Weather’s Influence On t he Energy Efficiency Indicators of Container Ships Using Model-based Machine Lea rning)

    153-153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 Ma chine Learning.According to news originating from Kongens Lyngby, Denmark, by N ewsRx correspondents, research stated, “The International Maritime Organization employs technical and operational indicators to assess ship energy efficiency.W eather conditions significantly impact ship fuel consumption during voyages, nec essitating the consideration of this influence in energy efficiency calculations .”Financial supporters for this research include Project company for sharing data and valuable knowledge, Danish Maritime Fund.

    Data on Chronic Disease Reported by Andrea Higuera-Gomez and Colleagues (Computa tional algorithm based on health and lifestyle traits to categorize lifemetaboty pes in the NUTRiMDEA cohort)

    154-154页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on Disease Attributes - Chronic Dise ase is the subject of a report.According to news reporting out of Madrid, Spain , by NewsRx editors, research stated, “Classifying individuals based on metaboty pes and lifestyle phenotypes using exploratory factor analyses, cluster definiti on, and machinelearning algorithms is promising for precision chronic disease p revention and management.This study analyzed data from the NUTRiMDEA online coh ort (baseline: n = 17332 and 62 questions) to develop a clustering tool based on 32 accessible questions using machine-learning strategies.”

    Research Results from Institute of Technology Bandung Update Understanding of Ma chine Learning (Concrete Crack Detection, Orientation and Measurement Using a Wa ll Climbing Robot)

    155-155页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on artificial intelligen ce have been presented.According to news reporting originating from Bandung, In donesia, by NewsRx correspondents, research stated, “Concrete structure damage a nd severity are determined by examining the width of cracks in various forms.Th is categorisation of cracks is based on their specific types, which is crucial f or engineers and professionals.”

    Recent Studies from INRS Add New Data to Machine Learning (A Machine Learning Ap proach for the Prediction of Indoor Propagation Path-Loss in the Tera-Hertz Band s)

    155-156页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on artificial intelligenc e is the subject of a new report.According to news reporting from INRS by NewsR x journalists, research stated, “In this paper, we explore the use of machine le arning (ML) models for predicting path loss in THz frequency bands for indoor en vironments.”Funders for this research include Libyan Government.

    West China Hospital Reports Findings in Central Nervous System Diseases and Cond itions (A predictive model for secondary central nervous system infection after craniotomy based on machine learning)

    156-157页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Central Nervous System Diseases and Conditions is the subject of a report.According to news reporting originating in Chengdu, People’s Republic of China, by NewsRx journalists, rese arch stated, “To analyze the risk factors of secondary Central nervous system in fections (CNSIs) after craniotomy, and to establish an individualized predictive model for CNSIs risk.The independent risk factors were screened by univariate and multivariate logistic regression analysis.”

    New Machine Learning Data Have Been Reported by Investigators at Northeastern Un iversity (Experimental Analysis of Combustion Characteristics of Corn Starch Dus t Clouds Under the Action of Unilateral Obstacles and Machine Learning Modeling ...)

    157-158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 is now available.According to news reporting originating from Shenyang, People’s Repu blic of China, by NewsRx correspondents, research stated, “Corn starch powder is highly flammable and explosive, presenting significant safety hazards of dust e xplosions when encountering obstacles during its production and processing.This study indicate that with an increase in the number of obstacles, obstacle block age ratio, and dust concentration, both the average flame spread velocity (AFSV) and the maximum flame spread velocity (MFSV) initially rise and then decline.”

    Shandong University Reports Findings in Machine Learning (Improving the accuracy of dynamic inclination measurement by machine learning)

    158-159页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report.According to news originating from Shandong, People’s Rep ublic of China, by NewsRx correspondents, research stated, “With the diminishing availability of oil and gas resources, the Rotary Steerable System has become i ncreasingly important.However, the vibrations and shocks during the drilling pr ocess pose challenges to the Measurement While Drilling.”

    Researchers from National Institutes for Food and Drug Control Describe Findings in Machine Learning (Comprehensive Analysis of Bile Medicines Based On Uhplc-qt of-mse and Machine Learning)

    159-159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 Beijing, People’s Re public of China, by NewsRx editors, research stated, “Based on UHPLC-QTOF-MSE an alysis and quantized processing, combined with machine learning algorithms, data modeling was carried out to realize digital identification of bear bile powder (BBP), chicken bile powder (CIBP), duck bile powder (DBP), cow bile powder (CBP) , sheep bile powder (SBP), pig bile powder (PBP), snake bile powder (SNBP), rabb it bile powder (RBP), and goose bile powder £.First, 173 batches of bile sample s were analyzed by UHPLC-QTOF-MSE to obtain the retention time-exact mass (RTEM) data pair to identify bile acid-like chemical components.”

    First Affiliated Hospital of Chongqing Medical University Reports Findings in Pa ncreaticoduodenectomy [Robotic pancreaticoduodenectomy after open Roux-en-Y biliary-enteric anastomosis: Technical insights (with video)]

    160-160页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Surgery - Pancreaticod uodenectomy is the subject of a report.According to news reporting originating in Chongqing, People’s Republic of China, by NewsRx journalists, research stated , “Robotic pancreaticoduodenectomy (RPD) presents a formidable surgical challeng e for patients with a prior history of bilioenteric anastomosis.However, there are no reports in the literature of robotic pancreaticoduodenectomy after open b ilioenteric anastomosis.”

    Public Assistance - Paris Hospitals (AP-HP)Reports Findings in Bladder Cancer ( Comparative effectiveness of robot-assisted radical cystectomy with intracorpore al urinary diversion vs open radical cystectomy for bladder cancer)

    161-162页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Oncology - Bladder Can cer is the subject of a report.According to news reporting from Paris, France, by NewsRx journalists, research stated, “To assess the comparative effectiveness of robot-assisted radical cystectomy (RARC) with intracorporeal urinary diversi on (ICUD) vs open radical cystectomy (ORC) for bladder cancer (BC).We conducted a real-life monocentric study including all consecutive patients who underwent RARC with ICUD or ORC for BC at our institution from 2014 to 2023.”