首页期刊导航|Robotics & Machine Learning Daily News
期刊信息/Journal information
Robotics & Machine Learning Daily News
NewsRx
Robotics & Machine Learning Daily News

NewsRx

Robotics & Machine Learning Daily News/Journal Robotics & Machine Learning Daily News
正式出版
收录年代

    Reports from Czech Technical University Describe Recent Advances in Machine Lear ning (Machine-learning-based Optimal Cooperating Node Selection for Internet of Underwater Things)

    58-58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 tonews reporting originating from Prag ue, Czech Republic, by NewsRx correspondents, research stated,“Multihop communi cation has gained prominence within the realm of the Internet of Underwater Things (IoUT) owing to its exceptional reliability amidst the challenges posed by th e underwater acousticenvironment. Despite this, the persistence of limitations caused by propagation delay, high collision rate,and limited energy in underwat er communication remains, representing the most formidable hurdles inensuring t he successful transmission of data gathered by sensor nodes.”

    University of Naples Federico II Reports Findings in Artificial Intelligence (Bi as in artificial intelligence for medical imaging: fundamentals, detection, avoi dance, mitigation, challenges, ethics, and prospects)

    59-59页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Artificial Intelligenc e is the subject of a report. According to newsoriginating from Naples, Italy, by NewsRx correspondents, research stated, “Although artificial intelligence(AI ) methods hold promise for medical imaging-based prediction tasks, their integra tion into medicalpractice may present a double-edged sword due to bias (i.e., s ystematic errors). AI algorithms have thepotential to mitigate cognitive biases in human interpretation, but extensive research has highlighted thetendency of AI systems to internalize biases within their model.”

    Researchers from University of Miami Report Details of New Studies and Findings in the Area of Artificial Intelligence (Artificial Intelligence Modeling and Pri apism)

    60-60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 Artificial Intelligence is now available. According to news reporting outof Miami, Florida, by NewsRx editors, research stated, “Purpose of ReviewThis narrative review aims tooutlin e the current available evidence, challenges, and future perspectives of Artific ial Intelligence (AI) inthe diagnosis and management of priapism, a condition m arked by prolonged and often painful erectionsthat presents unique diagnostic a nd therapeutic challenges.Recent FindingsRecent advancements in AIoffer promisi ng solutions to face the challenges in diagnosing and treating priapism. AI mode ls havedemonstrated the potential to predict the need for surgical intervention and improve diagnostic accuracy.”

    Department of Cardiac Surgery Reports Findings in Robotics (Early Postoperative Complications of Robotic-assisted Versus Minimally Invasive Mitral Valve Surgery : A Propensity Score-matched Analysis)

    61-61页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Robotics is the subjec t of a report. According to news reportingfrom Bergamo, Italy, by NewsRx journa lists, research stated, “The current work was designed to evaluatewhether robot ic-assisted mitral valve surgery is associated with a different incidence of ear ly postoperativecomplications compared with the traditional minimally invasive approach. A retrospective monocentriccohort study was conducted.”

    Researchers from Nankai University Report New Studies and Findings in the Area o f Robotics (Supervised Learning Control for Compliant Pneumatic Artificial Muscl e Robots With Preassigned-time Performance)

    62-63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 Robotics. According to news reporting fromTianjin, People’s Republic of China, by NewsRx journalists, research stated, “Pneumatic artificial muscle(PAM) actua tors exhibit practical compliance and great payload-to-weight ratios when drivin g roboticexoskeletons. However, filling with highly compressed gas makes PAMs s usceptible to sensor noises, whichmay degrade the state response and increase c ontrol efforts.”

    Findings from Ho Chi Minh City University of Technology and Education (HCMUTE) A dvance Knowledge in Robotics (Ball Balancing on 3-RRS Parallel Manipulator Using PD and LQR Control)

    62-62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 ro botics. According to news reporting from Ho ChiMinh City University of Technolo gy and Education (HCMUTE) by NewsRx journalists, research stated,“Ball and plat e system (BPS) is known as a nonlinear multi-input multi-output (MIMO) system th at hasbeen usually used to investigate and develop control algorithms.”

    Lister Hospital Reports Findings in Nephrectomy (Achieving trifecta outcomes in robotic-assisted partial nephrectomy within a fellowship training centre)

    63-64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 - Nephrectomy is the subject of a report. According tonews reporting originating in Stevenage , United Kingdom, by NewsRx journalists, research stated, “Toassess the robotic -assisted partial nephrectomy (RAPN) trifecta rate within a fellowship program. Patientsundergoing RAPN 01/01/2010-01/07/2023 were enrolled from a prospectivel y maintained database.”

    Investigators from Yangtze University Zero in on Support Vector Machines (Optimi zing Oil-source Correlation Analysis Using Support Vector Machines and Sensory A ttention Networks)

    64-65页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on Support Vector Machin es have been presented. According to newsreporting originating in Hubei, People ’s Republic of China, by NewsRx journalists, research stated, “Oilsource correl ation can be used to identify the origin of crude oil by linking crude oil to so urce rocks;however, the manual methods, which are limited by the sample or para meter quantity or imbalanceddatasets, are facing uncertainties. Although the ex isting multivariate statistical techniques can alleviatethis problem, they are facing difficulties in processing imbalanced datasets and quantifying source bed s.”

    Studies from Chongqing University in the Area of Artificial Intelligence Reporte d (Driver’s Hand-foot Coordination and Globalregional Brain Functional Connecti vity Under Fatigue: Via Graph Theory and Explainable Artificial Intelligence)

    65-66页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Fresh data on Artificial Intelligence are present ed in a new report. According to news reporting fromChongqing, People’s Republi c of China, by NewsRx journalists, research stated, “Driving fatigue impairsthe driver’s hand-foot coordination, a significant factor in traffic accidents. How ever, the functional brainconnectivity underlying driver coordination remains u nclear.”

    National University of Science and Technology Researchers Have Published New Dat a on Machine Learning (Comparative analysis of web-based machine learning models )

    66-67页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New study results on artificial intell igence have been published. According to newsreporting out of National Universi ty of Science and Technology by NewsRx editors, research stated, “Thispaper pre sents a comparative analysis of web-based machine learning models, specifically examining GoogleVertex AI, Google Teachable Machine, Azure Machine Learning and Salesforce Einstein Vision.”