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    Aix-Marseille University Reports Findings in Blood Transfusion (Prediction of tr ansfusion risk after total knee arthroplasty: use of a machine learning algorith m)

    77-78页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on Transfusion Medicine - Blood Tran sfusion is the subject of a report. According to news reporting originating in M arseille, France, by NewsRx journalists, research stated, “Total knee arthroplas ty (TKA) carries a significant hemorrhagic risk, with a non-negligible rate of p ostoperative transfusions. The blood-sparing strategy has evolved to reduce bloo d loss after TKA by identifying the patient’s risk factors preoperatively.”

    Studies from Indiana University Have Provided New Information about Artificial I ntelligence [Designing an Inclusive Artificial Intelligence ( Ai) Curriculum for Elementary Students To Address Gender Differences With Collab orative and Tangible ...]

    78-78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 Bloomington, In diana, by NewsRx journalists, research stated, “This study presents an inclusive K-12 AI curriculum for elementary schools, focusing on six design principles to address gender disparities. The curriculum, designed by the researchers and an elementary teacher, uses tangible tools, and emphasizes collaboration in solving daily problems.”

    Studies Conducted at Massachusetts Institute of Technology on Machine Learning R ecently Published (Photonic probabilistic machine learning using quantum vacuum noise)

    79-79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 from the Massachusetts Inst itute of Technology by NewsRx journalists, research stated, “Probabilistic machi ne learning utilizes controllable sources of randomness to encode uncertainty an d enable statistical modeling. Harnessing the pure randomness of quantum vacuum noise, which stems from fluctuating electromagnetic fields, has shown promise fo r high speed and energy-efficient stochastic photonic elements.” Funders for this research include National Science Foundation; U.S. Department o f Energy; United States Department of Defense | United States Army | U.S. Army R esearch, Development And Engineering Command | Army Research Office.

    New Support Vector Machines Findings from Federal University Rio Grande do Sul D escribed (Classification of Semideciduous Seasonal Forest Successional Stages Us ing Sentinel-1-2 and Srtm Data On Google Earth Engine)

    80-80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 Machine Learning - Su pport Vector Machines have been presented. According to news reporting from Port o Alegre, Brazil, by NewsRx journalists, research stated, “Remote sensing data u sed in this study included MSI (Multispectral Instrument) Sentinel -2, SAR (Synt hetic Aperture Radar) Sentinel -1, GLCM (Grey Level Co -Occurrence Matrix) textu re data derived from Sentinel -1, and geomorphometric data derived from SRTM (Sh uttle Radar Topography Mission) images. The input data was divided into separate groups for machine learning algorithms, including Support Vector Machine (SVM), Classification and Regression Tree (CART), and Random Forest (RF), which were i mplemented on the Google Earth Engine platform.”

    Study Results from Harbin University Broaden Understanding of Support Vector Mac hines (Predictive Modeling of Thermal Displacement for High-speed Electric Spind le)

    81-81页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on Support Vector Machines is the su bject of a report. According to news reporting originating from Harbin, People’s Republic of China, by NewsRx correspondents, research stated, “Accurate, effici ent and stable prediction of thermal displacements generated during spindle mach ining is essential for improving machining quality, increasing economic efficien cy and ensuring production safety. Aiming at the existing thermal displacement p rediction models with low precision and poor robustness, this paper put forward a prediction model based on the Bald Eagle Search (BES) algorithm optimized Leas t Squares Support Vector Machine (LSSVM).”

    Researchers from Texas A&M University Describe Findings in Machine Learning (A Knowledge Transfer Enhanced Ensemble Approach To Predict the Shear C apacity of Reinforced Concrete Deep Beams Without Stirrups)

    82-82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 Machine Learning have been presented. According to news reporting out of College Station, Texas, by N ewsRx editors, research stated, “This paper proposes a novel learning algorithm, the transfer ensemble neural network (TENN) model, to increase the performance of shear capacity predictions on small datasets, illuminating the usefulness of advanced machine learning techniques in general. By incorporating ensemble learn ing and transfer learning, the TENN model is designed to control the high variab ility inherent in machine learning models trained on small amounts of data.”

    Reports Summarize Robotics Findings from Northwestern Polytechnic University (Ex pert System-based Multiagent Deep Deterministic Policy Gradient for Swarm Robot Decision Making)

    83-83页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Robotics are disc ussed in a new report. According to news reporting out of Xi’an, People’s Republ ic of China, by NewsRx editors, research stated, “In this article, an expert sys tem-based multiagent deep deterministic policy gradient (ESB-MADDPG) is proposed to realize the decision making for swarm robots. Multiagent deep deterministic policy gradient (MADDPG) is a multiagent reinforcement learning algorithm propos ed to utilize a centralized critic within the actor-critic learning framework, w hich can reduce policy gradient variance.”

    University of Sharjah Researcher Reports Recent Findings in Robotics (Intelligen t Fuzzy Logic-Based Internal Model Control for Rotary Flexible Robots)

    84-84页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators publish new report on robotics. Acc ording to news reporting from Sharjah, United Arab Emirates, by NewsRx journalis ts, research stated, “Recently, there has been widespread and vital adoption of flexible manipulators due to their increased prevalence.”

    New Symmetric Cryptology Study Findings Reported from Ruhr-University Bochum (Ad dendum to Classification of All t-Resilient Boolean Functions with t + 4 Variabl es)

    85-85页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Data detailed on symmetric cryptology have been p resented. According to news originating from Bochum, Germany, by NewsRx correspo ndents, research stated, “In ToSC 2023(3), Rasoolzadeh presented an algorithm fo r classifying (n-m)-resilient Boolean functions with n variables, up to extended variable-permutation equivalence, for a small given positive integer m and any positive integer n with n m.”

    University of Toronto Reports Findings in Artificial Intelligence (The Accuracy of Artificial Intelligence Models in Hand/Wrist Fracture and Dislocation Diagnos is: A Systematic Review and Meta-Analysis)

    85-86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 report. According to news originating from Toronto, Canada , by NewsRx correspondents, research stated, “Early and accurate diagnosis is cr itical to preserve function and reduce healthcare costs in patients with hand an d wrist injury. As such, artificial intelligence (AI) models have been developed for the purpose of diagnosing fractures through imaging.”