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

    Findings on Automated Reasoning Reported by Investigators at University of Nebraska at Omaha (An Abstract View On Optimizations In Propositional Frameworks)

    66-67页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Research findings on Automated Reasoning are discussed in a new report. Accordingto news reporting out of Omaha, Nebraska, by NewsRx editors, the research stated, “Search/optimizationproblems are plentiful in scientific and engineering domains. Artificial intelligence has long contributed tothe development of search algorithms and declarative programming languages geared toward solving andmodeling search/optimization problems.”

    Department of Congenital Heart Disease and Pediatric Cardiology Reports Findings in Machine Learning (Detection of hypoplastic left heart syndrome anatomy from cardiovascular magnetic resonance images using machine learning)

    67-68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 the subject of a report. According to newsoriginating from Kiel, Germany, by NewsRx correspondents, research stated, “The prospect of being ableto gain relevant information from cardiovascular magnetic resonance (CMR) image analysis automaticallyopens up new potential to assist the evaluating physician. For machine-learning-based classification ofcomplex congenital heart disease, only few studies have used CMR.”

    University of Louisville Reports Findings in Androids (Art: Avatar Robotics Telepresence-the Future of Humanoid Material Handling Loco-manipulation)

    68-69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 Robotics - Androids. According to news reportingoriginating from Louisville, Kentucky, by NewsRx correspondents, research stated, “Material handling locomanipulationis heavily present in humanitarian assistance and disaster relief (HADR) efforts. Consider ascenario requiring human expertise to transcend the physical location of the human body; an approachharnessingthe innately long-range and precise abilities of robotic Avatar technologies-was successfullyapplied to material handling and loco-manipulation tasks, proving that humanoids may play an integralrole in future disaster relief.”

    Study Results from Purdue University Update Understanding of Machine Learning (Identifying Hidden Factors Associated with Household Emergency Fund Holdings: A Machine Learning Application)

    69-70页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - Current study results on artificial intelligence have been published. According to news reportingout of West Lafayette, Indiana, by NewsRx editors, research stated, “This paper describes the results froma study designed to illustrate the use of machine learning analytical techniques from a household consumerperspective.”

    Research on Machine Learning Described by Researchers at Universitas Gunadarma (Analysis and Classification of Customer Churn Using Machine Learning Models)

    70-70页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Current study results on artificial intelligence have been published. According to newsoriginating from the Universitas Gunadarma by NewsRx editors, the research stated, “Analysis studiesof customer loss (customer churn) have been used for years to increase profitability and build customerrelationships with companies.”

    Findings from Northeastern University Yields New Findings on Robotics (Brain Cognition Mechanism-inspired Hierarchical Navigation Method for Mobile Robots)

    71-71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 originatingfrom Shenyang, People’s Republic of China, by NewsRx correspondents, research stated, “Autonomousnavigation is a fundamental problem in robotics. Traditional methods generally build point cloud mapor dense feature map in perceptual space; due to lack of cognition and memory formation mechanism,traditional methods exist poor robustness and low cognitive ability.”

    Researchers from University of Science and Technology China Describe Findings in Machine Learning (How To Achieve the Fast Computation for Voxel-based Irregular Structures By Few Finite Elements?)

    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 Machine Learning. According to news reporting outof Hefei, People’s Republic of China, by NewsRx editors, research stated, “We propose machine learning(ML) based smart interpolation functions to enhance the finite element computation (named as smart-Ifinite element) for the heterogeneous structures (e.g., alloy material, concrete material and porous rock)that are composed of many microstructures known as voxel-based irregular shape (VI-shape). This elementcan directly describe the geometries with different VI-shapes and material properties without the complexmeshing process by traditional finite element method (FEM).”

    University of Johannesburg Researchers Discuss Research in Artificial Intelligence (Artificial Intelligence-Based Intrusion Detection and Prevention in Edge-Assisted SDWSN With Modified Honeycomb Structure)

    73-73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 artificial intelligence. According to news reportingfrom Johannesburg, South Africa, by NewsRx journalists, research stated, “The software-defined wirelesssensor network (SDWSN) has the potential to improve flexibility, scalability, and network performance, butsecurity and quality of service (QoS) are major challenges due to attackers, poor network management,and inefficient route selection.”

    Findings from Jadavpur University Reveals New Findings on Artificial Intelligence (Revolutionizing Concrete Analysis: an In-depth Survey of Ai-powered Insights With Image-centric Approaches On Comprehensive Quality Control, Advanced Crack ...)

    74-74页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Current study results on Artificial Intelligence have been published. According to newsreporting from Kolkata, India, by NewsRx journalists, research stated, “Over the last two decades, theintegration of big data and deep learning technologies has demonstrated remarkable effectiveness acrossvarious domains of civil engineering, leading to significant advancements in machine learning methodologies.Regardless of significant progress in various aspects of civil engineering, there appears to be astriking absence of thorough and all-encompassing evaluations that adequately cover critical domains suchas structural damage identification (SDI), accurate prediction of concrete properties, precise crack detection,detailed analysis of crack properties and thorough non-destructive testing (NDT) methods appliedspecifically to concrete structures.”

    Reports from University of Patras Provide New Insights into Robotics (The Fuzzy Human-robot Collaboration Assembly Line Balancing Problem)

    75-76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 Robotics. According to news reporting out of Patras,Greece, by NewsRx editors, research stated, “Consideration is given to the assembly line balancingproblem (ALBP) in production lines employed collaborative robots. Human-robot collaboration promiseshigh advantages in manufacturing regarding automation, productivity, accuracy as well as flexibility inproduction.”