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    Data on Robotics Published by Researchers at Tampere University (Machine Vision and Robotics for Primary Food Manipulation and Packaging: A Survey)

    125-126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 out of Tampere, Finland, by NewsRx editors, research stated, “Vision and Robotic technologies are progressively becoming ubi quitous for automating and digitizing quality control in the food industry.” Funders for this research include European Union’s Horizon Europe Research And I nnovation Program Through The Project Agilehand.

    Recent Research from Hebei University of Technology Highlight Findings in Machin e Learning (A New Understanding of the Alkalisilica Reaction Expansion In Concr ete Using a Hybrid Ensemble Model)

    126-126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 Tianjin, People’s Rep ublic of China, by NewsRx editors, research stated, “Alkali-Silica Reaction (ASR ) is a critical issue affecting the durability of concrete structures, leading t o significant long-term maintenance costs and safety concerns. This study addres ses the need for accurate prediction of ASR-induced expansion in concrete, lever aging advanced machine learning techniques.”

    Study Data from University of Michigan Update Knowledge of Machine Learning (Mac hine Learning-Based Predictions of Flow and Heat Transfer Characteristics in a L id-Driven Cavity with a Rotating Cylinder)

    127-127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 artificial intelligence. According to news reporting out of Flint, Michigan, by NewsRx editors, research stated, “Machine learning-based predictions of heat tra nsfer characteristics in lid-driven cavities are transforming the field of compu tational fluid dynamics (CFD).”

    New Machine Learning Findings from Tianjin University Outlined (Optimization of Kinetic Mechanism for Hydrogen Combustion Based On Machine Learning)

    128-128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 Ma chine Learning. According to news reporting originating in Tianjin, People’s Rep ublic of China, by NewsRx journalists, research stated, “The reduced mechanism b ased on the minimized reaction network method can effectively solve the rigidity problem in the numerical calculation of turbulent internal combustion engine. T he optimization of dynamic parameters of the reduced mechanism is the key to rep roduce the experimental data.” Financial supporters for this research include National Natural Science Foundati on of China (NSFC), National Key R&D Program of China.

    Trinity College Dublin Reports Findings in Heart Bypass Surgery (How to advance from minimally invasive coronary artery bypass grafting to totally endoscopic co ronary bypass grafting: challenges in Europe versus United States of America)

    129-130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 Surgery - Heart Bypass Surgery is the subject of a report. According to news originating from Dublin, Ireland, by NewsRx correspondents, research stated, “Robotic coronary and intra- cardiac surgery has been available for more than 25 years. In this period, multi ple studies have demonstrated the beneficial effects of robotic surgery over con ventional open surgery.”

    New Machine Learning Study Findings Recently Were Reported by Researchers at Chi nese Academy of Sciences (Theoretical Advances In Understanding and Enhancing th e Thermostability of Energetic Materials)

    130-131页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Machine Learning is now available. According to news reporting out of Dalian, People’s Republic of Chin a, by NewsRx editors, research stated, “The quest for thermally stable energetic materials is pivotal in advancing the safety of applications ranging from munit ions to aerospace. This perspective delves into the role of theoretical methodol ogies in interpreting and advancing the thermal stability of energetic materials .”

    Researchers from University of Pavia Detail Findings in Robotics (Defect Detecti on On Rtm Composite Parts Via Robotic Contact Measurement System)

    131-131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 Robotics. According to news reporting out of Pavia, Italy, by NewsRx editors, re search stated, “In this work a new approach to detect and to evaluate defects ty pical of carbon fiber parts manufactured via resin transfer molding (RTM) is pre sented. The approach is based on a robotic contact measurement system, as an alt ernative or combined solution to vision methods.”

    Findings from Massachusetts Institute of Technology in the Area of Machine Learn ing Reported (Machine Learning-guided Discovery of Gas Evolving Electrode Bubble Inactivation)

    132-132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 Machine Learn ing have been published. According to news reporting originating from Cambridge, Massachusetts, by NewsRx correspondents, research stated, “The adverse effects of electrochemical bubbles on the performance of gas-evolving electrodes are wel l known, but studies on the degree of adhered bubble-caused inactivation, and ho w inactivation changes during bubble evolution are limited. We study electrode i nactivation caused by oxygen evolution while using surface engineering to contro l bubble formation.”

    Researchers at University of Connecticut Release New Data on Machine Learning (I ntegrating Physics-based Wrf Atmospheric Variables and Machine Learning Algorith ms To Predict Snowfall Accumulation In Northeast United States)

    133-134页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Researchers detail new data in Machine Learning. According to news reporting originating in Storrs, Connecticut, by NewsRx journa lists, research stated, “Accurate snowfall prediction is crucial for enhancing p reparedness and resilience in the Northeast United States during winter weather events. This study introduces a novel approach that integrates Machine Learning (ML) models with atmospheric variables from the Weather Research and Forecasting (WRF) model to improve snowfall forecasts in the region.”

    Affiliated Hospital of North Sichuan Medical College Reports Findings in Persona lized Medicine (Development and validation of a machine-learning model for preop erative risk of gastric gastrointestinal stromal tumors)

    134-135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 Drugs and Therapies - Personalized Medicine is the subject of a report. According to news reporting ou t of Sichuan, People’s Republic of China, by NewsRx editors, research stated, “G astrointestinal stromal tumors (GISTs) have malignant potential, and treatment v aries according to risk. However, no specific protocols exist to preoperatively assess the malignant potential of gastric stromal tumors (gGISTs).”