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    Affiliated Hospital of Qingdao University Reports Findings in Artificial Intelli gence (Personalized prediction of mortality in patients with acute ischemic stro ke using explainable artificial intelligence)

    98-99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 reporting from Qingdao, People’s Republic of China, by NewsRx journalists, research stated, “Research into the a cute kidney disease (AKD) after acute ischemic stroke (AIS) is rare, and how cli nical features influence its prognosis remain unknown. We aim to employ interpre table machine learning (ML) models to study AIS and clarify its decision-making process in identifying the risk of mortality.” Funders for this research include Taishan Scholar Program of Shandong Province, National Natural Science Foundation of China.

    New Study Findings from Universiti Tun Hussein Onn Malaysia Illuminate Research in Machine Learning (Response surface methodology and machine learning optimisat ions comparisons of recycled AA6061-B4C-ZrO2 hybrid metal matrix composites via hot ...)

    99-100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 out of Johor, Mala ysia, by NewsRx editors, research stated, “The optimal conditions of applied fac tors to reuse Aluminium AA6061 scraps are (450, 500, and 550) C preheating tempe rature, (1-15) % Boron Carbide (B4C), and Zirconium (ZrO2) hybrid reinforced particles at 120 min forging time via Hot Forging (HF) process.”

    Studies from Chongqing University Yield New Information about Machine Learning ( Forward and Reverse Design of Adhesive In Batteries Via Dynamics and Machine Lea rning Algorithms for Enhanced Mechanical Safety)

    100-101页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Research findings on Machine Learning are discuss ed in a new report. According to news reporting out of Chongqing, People’s Repub lic of China, by NewsRx editors, research stated, “The growing popularity of ele ctric vehicles brings opportunities and challenges to the battery industry. Desi gners need to develop reliable battery packs to ensure the safety of consumers’ property and passengers’ lives.” Financial support for this research came from National Natural Science Foundatio n of China (NSFC).

    Research from Polytechnic University Reveals New Findings on Robotics (An Intell igent Human-Machine Interface Architecture for Long-Term Remote Robot Handling i n Fusion Reactor Environments)

    101-101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 ro botics. According to news reporting from Madrid, Spain, by NewsRx journalists, r esearch stated, “This paper addresses the intricate challenge posed by remote ha ndling (RH) operations in facilities with operational lifespans surpassing 30 ye ars.” The news reporters obtained a quote from the research from Polytechnic Universit y: “The extended RH task horizon necessitates a forward-looking strategy to acco mmodate the continuous evolution of RH equipment. Confronted with diverse and ev olving hardware interfaces, a critical requirement emerges for a flexible and ad aptive software architecture based on changing situations and past experiences. The paper explores the inherent challenges associated with sustaining and upgrad ing RH equipment within an extended operational context. In response to this cha llenge, a groundbreaking, flexible, and maintainable human-machine interface (HM I) architecture named MAMIC is designed, guaranteeing seamless integration with a diverse range of RH equipment developed over the years. Embracing a modular an d extensible design, the MAMIC architecture facilitates the effortless incorpora tion of new equipment without compromising system integrity. Moreover, by adopti ng this approach, nuclear facilities can proactively steer the evolution of RH e quipment, guaranteeing sustained performance and compliance throughout the exten ded operational lifecycle.”

    Findings in Artificial Intelligence Reported from Texas A&M Univers ity (Artificial intelligence - Human intelligence conflict and its impact on pro cess system safety)

    102-102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 artificial intell igence are discussed in a new report. According to news reporting originating fr om Texas A&M University by NewsRx correspondents, research stated, “In the Industry 4.0 revolution, industries are advancing their operations by le veraging Artificial Intelligence (AI). AI-based systems enhance industries by au tomating repetitive tasks and improving overall efficiency. However, from a safe ty perspective, operating a system using AI without human interaction raises con cerns regarding its reliability.” Funders for this research include National Science Foundation Directorate For En gineering; Texas A &M University Mary Kay O’connor Process Safety Ce nter.

    Research from University of Johannesburg Provides New Data on Machine Learning ( Evaluation of Speckle Noise Reduction Filters and Machine Learning Algorithms fo r Ultrasound Images)

    103-103页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New study results on artificial intelligence have been published. According to news originating from Johannesburg, South Africa, by NewsRx correspondents, research stated, “Medical ultrasound imaging involves the use of high-frequency sound waves to produce images of various body parts. A transducer generates these sound waves, which traverse through bodily tissues, providing measurements of soft tissue and organ dimensions, shapes, and consiste ncies.”

    Delft University of Technology Reports Findings in Robotics (Classification and Evaluation of Octopus-Inspired Suction Cups for Soft Continuum Robots)

    104-104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 Robotics is the subjec t of a report. According to news reporting from Delft, Netherlands, by NewsRx jo urnalists, research stated, “The emergence of the field of soft robotics has led to an interest in suction cups as auxiliary structures on soft continuum arms t o support the execution of manipulation tasks. This application poses demanding requirements on suction cups with respect to sensorization, adhesion under non-i deal contact conditions, and integration into fully soft systems.”

    Reports from EDHEC Business School Add New Data to Findings in Artificial Intell igence (Artificial Intelligence and Machine Learningbased Decision Support Syst em for Forecasting Electric Vehicles' Power Requirement)

    105-105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 from Roubaix, France, by New sRx journalists, research stated, “Increasing pollution is causing adverse envir onmental effects, leading to increased interest in combating this issue. There h as been a significant interest in minimizing the pollution caused by combustion engine vehicles, with high research and development investments in hybrid and el ectric vehicle (EV) batteries.”

    New Machine Learning Study Findings Have Been Reported by Investigators at Cardi ff Metropolitan University (Exploring the Interrelationships Between Composition , Rheology, and Compressive Strength of Self-compacting Concrete: an Exploration of ...)

    106-106页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Current study results on Machine Learning have be en published. According to news reporting from Cardiff, United Kingdom, by NewsR x journalists, research stated, “This study introduces a novel methodology for e nhancing the compressive strength of selfcompacting concrete (SCC) via the use o f the Explainable Boosting Machine (EBM), a sophisticated and interpretable mach ine learning algorithm. It presents a data -driven model that aims to accurately predict the strength of SCC by considering the intricate interactions among its various elements.”

    Investigators at Hebei University of Technology Discuss Findings in Robotics (Re liability Analysis of Industrial Robot Positional Errors Based On Statistical Mo ment Similarity Metrics)

    107-107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 Robotics is the subjec t of a report. According to news reporting originating in Tianjin, People’s Repu blic of China, by NewsRx journalists, research stated, “A new positional accurac y reliability analysis method of industrial robots is proposed based on the stat istical moment similarity of positional error. The first-two order statistical m oments of positional error at some positions are accurately obtained through the differential kinematics method to reduce the computational cost of the proposed method.”