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    Recent Studies from School of Electrical Engineering Add New Data to Machine Lea rning (Binary Firefly Algorithm Based Reconfiguration for Maximum Power Extracti on Under Partial Shading and Machine Learning Approach for Fault Detection In So lar ...)

    46-47页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Researchers detail new data in Machine Learning. According to news reporting out of Tamil Nadu,India, by NewsRx editors, researc h stated, “The functioning of a photovoltaic (PV) array in the shadowpresents s ignificant issues owing to power loss, which affects the harvested power. One of the greatestpromising methods for reducing the effect of shadow over the array is reconfiguration.”

    New Findings from Western Norway University of Applied Sciences Describe Advance s in Machine Learning (Application of Machine Learning to Predict Blockage in Mu ltiphase Flow)

    47-48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 originatingfrom Bergen, Norway, by New sRx correspondents, research stated, “This study presents a machine learningbased approach to predict blockage in multiphase flow with cohesive particles.”Financial supporters for this research include Research Council of Norway.

    Researcher from Nanjing University Provides Details of New Studies and Findings in the Area of Artificial Intelligence (Robust Artificial Intelligence-Aided Mul timodal Rail-Obstacle Detection Method by Rail Track Topology Reconstruction)

    48-49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 artific ial intelligence. According to news reporting originatingfrom Nanjing, People’s Republic of China, by NewsRx correspondents, research stated, “Detectingobstac les in the rail track area is crucial for ensuring the safe operation of trains. ”Our news editors obtained a quote from the research from Nanjing University: “Ho wever, this taskpresents numerous challenges, including the diverse nature of i ntrusions, and the complexity of the drivingenvironment. This paper presents a multimodal fusion rail-obstacle detection approach by key pointsprocessing and rail track topology reconstruction. The core idea is to leverage the rich semant ic informationprovided by images to design algorithms for reconstructing the to pological structure of railway tracks.Additionally, it combines the effective g eometric information provided by LiDAR to accurately locate therailway tracks i n space and to filter out intrusions within the track area.”

    Findings on Robotics Detailed by Investigators at National Polytechnic Institute (Robust Interval Predictive Tracking Control for Constrained and Perturbed Unic ycle Mobile Robots)

    49-49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 Robotics have been published. According to news reportingoriginating in Ciudad de Mexico, Me xico, by NewsRx journalists, research stated, “In this paper, wepropose the des ign of a robust control strategy for the trajectory tracking problem in perturbe d unicyclemobile robots. The proposed strategy comprises the design of a robust control law, which is based on anIntegral Sliding-Mode Control (ISMC) approach together with an interval predictor-based state-feedbackcontroller through a M odel Predictive Control (MPC) scheme.”

    Study Findings from University of Laval Provide New Insights into Androids (Whol e-body Intuitive Physical Human-robot Interaction With Flexible Robots Using Non -collocated Proprioceptive Sensing)

    50-50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 Robotics - An droids have been published. According to newsreporting originating in Quebec Ci ty, Canada, by NewsRx journalists, research stated, “This letter presentsa meth od enabling intuitive physical human-robot interaction (pHRI) with flexible robo ts using an endpointsensing device. The device is a passive serial chain of en coders and lightweight links, mounted inparallel with the manipulator.”

    Investigators at University of New South Wales Discuss Findings in Robotics (Int egrated Sensors for Soft Medical Robotics)

    50-51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 originating fromSydney, Australia, by NewsRx corres pondents, research stated, “Minimally invasive procedures assistedby soft robot s for surgery, diagnostics, and drug delivery have unprecedented benefits over t raditional solutions from both patient and surgeon perspectives. However, the tr anslation of such technology intocommercialization remains challenging.”

    Studies from Fujian University of Technology Provide New Data on Robotics (Effec t of Position of Robotic Gas Metal Arc Welding On Bead Quality and Multi-objecti ve Optimization Through Gray Relational Analysis)

    51-52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 Robotics have been published. According to news reportingoriginating in Fuzhou, People’s Rep ublic of China, by NewsRx journalists, research stated, “This paper investigates the effects of welding voltage, welding current, wire feeding speed, travelling speed and weldingposition on aspect ratio, dilution rate, microhardness and fl uctuation using orthogonal experiment design.To achieve multi-objective optimiz ation, S/N ratio conversion and grey relational analysis were employed,The mode l-predicted process parameters were then verified.”

    Researchers at China Agricultural University Report New Data on Artificial Intel ligence (Application of Artificial Intelligence Techniques In Meat Processing: a Review)

    52-53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 tonews reporting originating from Beiji ng, People’s Republic of China, by NewsRx correspondents, researchstated, “The field of meat processing plays a critical role in the food industry and has seen increasing adoption of artificial intelligence (AI) technology with rapid techn ological advancements. AI technologyhas tremendous potential for enhancing prod uction efficiency and product quality in meat processing.”

    Investigators at Shijiazhuang Tiedao University Report Findings in Machine Learn ing (Machine Learning-based Prediction of Mechanical Properties of N-doped G-gra phdiyne)

    53-54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 Machine Learning. According to news reportingoriginating in Shijiazhuang, Peopl e’s Republic of China, by NewsRx journalists, research stated, “Nitrogendopedg amma-graphdiyne (N-GDY) has promising applications in energy, electronic devices , and catalysis,but its properties vary significantly with the distribution of N-dopants and can be hardly investigated due tomassive doping patterns. This wo rk addressed the challenge through the machine-learning-based molecular dynamics simulations, and predicted the mechanical properties of N-GDY using a customize d well-trainedDeepMD-based machine learning potential (MLP).”

    University of Cyprus Reports Findings in Personalized Medicine (Machine learning analysis reveals tumor stiffness and hypoperfusion as biomarkers predictive of cancer treatment efficacy)

    54-55页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Drugs and Therapies - Personalized Medicine is the subject of areport. According to news reporting fr om Nicosia, Cyprus, by NewsRx journalists, research stated, “Inthe pursuit of a dvancing cancer therapy, this study explores the predictive power of machine lea rning inanalyzing tumor characteristics, specifically focusing on the effects o f tumor stiffness and perfusion (i.e.,blood flow) on treatment efficacy. Recent advancements in oncology have highlighted the significance ofthese physiologic al properties of the tumor microenvironment in determining treatment outcomes.”