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    New Robotics Study Results from Faculty of Information Engineering Described (MT -SIPP: An Efficient Collision-Free Multi-Chain Robot Path Planning Algorithm)

    66-67页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators publish new report on robotics. Acc ording to news reporting originating from Aksu,People’s Republic of China, by N ewsRx correspondents, research stated, “Compared to traditional multirobotpath planning problems, multi-chain robot path planning (MCRPP) is more challenging because itmust account for collisions between robot units and between the bodie s of a chain and the leading unitduring towing.”

    Guangdong University of Finance and Economics Researcher Highlights Recent Resea rch in Computational Intelligence (Gradually Vanishing Bridge Based on Multi-Ker nel Maximum Mean Discrepancy for Breast Ultrasound Image Classification)

    67-68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 computational int elligence have been published. Accordingto news reporting from Guangdong, Peopl e’s Republic of China, by NewsRx journalists, research stated,“This study seeks to enhance the classification performance of breast ultrasound images, addressi ng thechallenges of difficult and costly collection of breast ultrasound datase ts as well as the discrepancies infeature distribution of the collected dataset s.”

    Data from Hong Kong University of Science and Technology Provide New Insights in to Robotics and Automation (Energy-based Domain-adaptive Segmentation With Depth Guidance)

    68-68页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Robotics - Robotics and Automation are presented in a new report.According to news reporting out of Gua ngdong, People’s Republic of China, by NewsRx editors, researchstated, “Recent endeavors have been made to leverage self-supervised depth estimation as guidanc e inunsupervised domain adaptation (UDA) for semantic segmentation. Prior arts, however, overlook thediscrepancy between semantic and depth features, as well as the reliability of feature fusion, thus leadingto suboptimal segmentation pe rformance.”

    Southern Medical University Researchers Discuss Findings in Artificial Intellige nce (Artificial intelligence-based joint attenuation and scatter correction stra tegies for multi-tracer total-body PET)

    69-70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 reportingfrom Southern Medical Univers ity by NewsRx journalists, research stated, “Low-dose ungated CT iscommonly use d for total-body PET attenuation and scatter correction (ASC). However, CT-based ASC(CT-ASC) is limited by radiation dose risks of CT examinations, propagation of CT-based artifacts andpotential mismatches between PET and CT. We demonstra te the feasibility of direct ASC for multi-tracertotal-body PET in the image do main.”

    New Findings from University of Michigan in the Area of Robotics and Automation Described (A Control Framework for Accurate Mechanical Impedance Rendering With Series-elastic Joints In Prosthetic Actuation Applications)

    70-70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 - Robotics and Automation. Accordingto news originating from Ann Arbor, Michigan, by NewsRx correspondents, research stated, “In additionto lifting up the body during gait, human legs provide stabilizing torques that can be modeled as a springdampermechanical impedance. While powered prosthetic leg actuators can also imitate spring-damperbehaviors, the rendered impedance can be quite d ifferent from the desired impedance, stemming fromunmodeled transmission charac teristics (e.g., sliding friction, bearing damping, gear inefficiency, etc.).”Financial support for this research came from National Science Foundation (NSF).

    Findings from University of the West of England Update Knowledge of Machine Lear ning (Vulnerability Detection Through Machine Learning-based Fuzzing: a Systemat ic Review)

    71-71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 Bris tol, United Kingdom, by NewsRx correspondents, research stated,“Modern software and networks underpin our digital society, yet the rapid growth of vulnerabilit ies thatare uncovered within these threaten our cyber security posture. Address ing these issues at scale requiresautomated proactive approaches that can ident ify and mitigate these vulnerabilities in a suitable timeframe.”

    Investigators at Southwest Jiaotong University Report Findings in Nanofibers (A Hollow Magnetic Soft Robot Consisting of Rodshaped Nanofiber Actuators)

    72-72页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Data detailed on Nanotechnology - Nanofibers have been presented. According to news reportingoriginating from Chengdu, People’s Republic of China, by NewsRx correspondents, research stated,“Magnetic soft rob ots are prominent in biological environments due to the untethered movement andpenetration under magnetic field. Moreover, in order to overcome biological barr iers in microenvironment,the development of small size, biocompatible/biodegrad able and precisely controlled mobility of magneticsoft robots is a promising.”

    Universidad de la Republica Reports Findings in Machine Learning (Exploring the nexus between water quality and land use/land cover change in an urban watershed in Uruguay: a machine learning approach)

    73-73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 out of Montevideo, Uruguay, b y NewsRx editors, research stated, “The expansion of urbanareas contributes to the growth of impervious surfaces, leading to increased pollution and altering t heconfiguration, composition, and context of land covers. This study employed m achine learning methods(partial least square regressor and the Shapley Additive exPlanations) to explore the intricate relationshipsbetween urban expansion, l and cover changes, and water quality in a watershed with a park and lake.”

    Research Conducted at University of Science and Technology China Has Updated Our Knowledge about Machine Learning (Forecasting the Dst Index With Temporal Convo lutional Network and Integrated Gradients)

    74-75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 originating fromHefei, People’s Republic of China , by NewsRx correspondents, research stated, “The Disturbance StormTime (Dst) I ndex stands as a crucial geomagnetic metric, serving to quantify the intensity o f geomagneticdisturbances. The accurate prediction of the Dst index plays a piv otal role in mitigating the detrimentaleffects caused by severe space-weather e vents.”

    Veterinary Research Institute Reports Findings in Artificial Intelligence (Machi ne learning and explainable artificial intelligence for the prevention of waterb orne cryptosporidiosis and giardiosis)

    75-76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 newsreporting originating in Thessal oniki, Greece, by NewsRx journalists, research stated, “Cryptosporidium andGiardia are important parasitic protozoa due to their zoonotic potential an d impact on human health, andhave often caused waterborne outbreaks of disease. Detection of (oo)cysts in water matrices is challengingand extremely costly, t hus only few countries have legislated for regular monitoring of drinking water fortheir presence.”