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    Recent Findings from University Sains Malaysia Highlight Research in Robotics (A Hybrid HHO-AVOA for Path Planning of a Differential Wheeled Mobile Robot in Sta tic and Dynamic Environments)

    76-77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 Penang, Malaysia, by NewsRx journalists, research stated, “This study presents a hybrid HHO-AVOA which is a novel optimization met hod that combines the strengths of Harris Hawks Optimization (HHO) and African V ulture Optimization Algorithm (AVOA) to address the path planning challenges enc ountered by differential wheeled mobile robots (DWMRs) navigating both static an d dynamic environments, while accommodating kinematic constraints.” Funders for this research include Ministry of Higher Education Malaysia For Fund amental Research Grant Scheme.

    Zhejiang University Researchers Update Understanding of Androids (Deep learning- based control framework for dynamic contact processes in humanoid grasping)

    77-78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 androids. According to news originating from Hangzhou, People’s Republic of Chin a, by NewsRx correspondents, research stated, “Humanoid grasping is a critical a bility for anthropomorphic hand, and plays a significant role in the development of humanoid robots.” Our news reporters obtained a quote from the research from Zhejiang University: “In this article, we present a deep learning-based control framework for humanoi d grasping, incorporating the dynamic contact process among the anthropomorphic hand, the object, and the environment. This method efficiently eliminates the co nstraints imposed by inaccessible grasping points on both the contact surface of the object and the table surface. To mimic human-like grasping movements, an un deractuated anthropomorphic hand is utilized, which is designed based on human h and data. The utilization of hand gestures, rather than controlling each motor s eparately, has significantly decreased the control dimensionality. Additionally, a deep learning framework is used to select gestures and grasp actions. Our met hodology, proven both in simulation and on real robot, exceeds the performance o f static analysis-based methods, as measured by the standard grasp metric Q1.”

    New Machine Learning Study Results from University of Minho Described (Machine L earning Approach for Classification of Ree/fezeolite Catalysts for Fenton-like Reaction)

    78-79页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on Machine Learning are pre sented in a new report. According to news reporting out of Braga, Portugal, by N ewsRx editors, research stated, “Various heterogeneous catalysts based on rare e arth elements (REE) and iron supported on zeolites were selected and analyzed us ing machine learning approaches. REE were used in the preparation of multiple RE E/Fe-zeolite catalysts with lanthanum, praseodymium or cerium obtained by ion ex change or impregnation methods, using FAU or MFI structures as supports.”

    University of Campania Luigi Vanvitelli Reports Findings in Multiple Sclerosis ( Identifying definite patterns of unmet needs in patients with multiple sclerosis using unsupervised machine learning)

    79-80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 Autoimmune Diseases an d Conditions - Multiple Sclerosis is the subject of a report. According to news reporting from Naples, Italy, by NewsRx journalists, research stated, “People wi th multiple sclerosis (PwMS) exhibit a spectrum of needs that extend beyond sole ly disease-related determinants. Investigating unmet needs from the patient pers pective may address daily difficulties and optimize care.” Financial support for this research came from Universita degli Studi della Campa nia Luigi Vanvitelli.

    Studies from University of Sheffield Have Provided New Data on Robotics (Reconfi gurable-intelligent-surface-assisted Indoor Millimeter-wave Communications for M obile Robots)

    80-81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 Robotics have been published. According to news reporting from Sheffield, United Kingdom, by NewsRx journalists, research stated, “Reconfigurable intelligent surfaces (RISs) and millimeter-wave (mmWave) communications have been considered for providing wireless connectivity to mobile robots used in industrial plants and other indoo r environments. However, the existing works have not sufficiently studied how th e number and deployment locations of RISs should be optimized for serving a mobi le robot.”

    Data on Artificial Intelligence Reported by Ayse Eminoglu and Colleagues (Assess ment of the relationship between executive Nurses' leadership Self-Efficacy and medical artificial intelligence readiness)

    81-82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 out of Gaziantep, Turk ey, by NewsRx editors, research stated, “This study aims to assess the relations hip between management nurses’ leadership self-efficacy and medical artificial i ntelligence readiness. The research was conducted using a descriptive-correlatio nal design.”

    Second Affiliated Hospital of Chongqing Medical University Reports Findings in I nsulin Resistance (Effects of Various Heavy Metal Exposures on Insulin Resistanc e in Non-diabetic Populations: Interpretability Analysis from Machine Learning ...)

    82-83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 Endocrine System Disea ses and Conditions - Insulin Resistance is the subject of a report. According to news originating from Chongqing, People’s Republic of China, by NewsRx correspo ndents, research stated, “Increasing and compelling evidence has been proved tha t heavy metal exposure is involved in the development of insulin resistance (IR) . We trained an interpretable predictive machine learning (ML) model for IR in t he non-diabetic populations based on levels of heavy metal exposure.”

    Studies from Duke University Further Understanding of Machine Learning (Impact o f Medical Technologies May Be Predicted Using Constructed Graph Bibliometrics)

    83-83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 Machine Learning is th e subject of a report. According to news reporting originating from Durham, Nort h Carolina, by NewsRx correspondents, research stated, “Scientific research is d riven by allocation of funding to different research projects based in part on t he predicted scientific impact of the work. Data-driven algorithms can inform de cision-making of scarce funding resources by identifying likely high-impact stud ies using bibliometrics.”

    Data on Virtual Reality and Intelligent Hardware Described by Researchers at Uni versity of Sydney (Importance-aware 3D volume visualization for medical content- based image retrieval-a preliminary study)

    84-84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 vi rtual reality and intelligent hardware. According to news originating from Sydne y, Australia, by NewsRx correspondents, research stated, “A medical contentbase d image retrieval (CBIR) system is designed to retrieve images from large imagin g repositories that are visually similar to a user’s query image. CBIR is widely used in evidence- based diagnosis, teaching, and research.”

    New Artificial Intelligence Study Findings Recently Were Published by a Research er at Southeast University (A Method for Matching Information of Substation Seco ndary Screen Cabinet Terminal Block Based on Artificial Intelligence)

    85-86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 originating from Nanjing , People’s Republic of China, by NewsRx correspondents, research stated, “The ma tching of schematic diagrams and physical information of terminal blocks in subs tation secondary screen cabinets plays a crucial role in the operation and maint enance of substations.”