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    Simon Fraser University Details Findings in Artificial Intelligence (Advancement s In Control Systems and Integration of Artificial Intelligence In Welding Robot s: a Review)

    29-29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 to newsoriginating from Surrey, Canada, by NewsRx correspondents, research stated, “Welding automation haswitnessed si gnificant advancements with the integration of control systems and artificial in telligence(AI) in welding robots. This review paper explores the significance o f control systems in various weldingmethods, including arc, laser, spot, and fr iction stir welding.”

    New Findings from School of Computing Science and Engineering Update Understandi ng of Machine Learning (Bio-inspired Disease Prediction: Harnessing the Power of Electric Eel Foraging Optimization Algorithm With Machine Learning for Heart .. .)

    30-30页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - Investigators publish new report on Machine Learn ing. According to news originating from Vellore,India, by NewsRx correspondents , research stated, “Heart disease is the most significant health problemaround the world. Thus, it emphasizes the need for accurate and efficient predictive mo dels for earlydiagnosis.”

    Studies from Shandong University in the Area of Robotics Described (Fault Diagno sis of Mobile Robot Based On Dual-graph Convolutional Network With Prior Fault K nowledge)

    31-32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 Ro botics. According to news originating from Jinan, People’s Republic of China, by NewsRx correspondents, research stated, “Effective integration ofmulti-sensor measurements is crucial for mobile robot fault diagnosis. However, in multi-sens or relationshipmodeling, existing methods often neglect the impact of different fault types and fail to consider the relationsamong data samples.”

    Temple University Researchers Publish New Study Findings on Artificial Intellige nce (Human intelligence can safeguard against artificial intelligence: individua l differences in the discernment of human from AI texts)

    31-31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 outof Temple University by NewsRx editors, research stated, “Artificial intelligence (AI) models can produceoutp ut that closely mimics human-generated content.”

    New Machine Learning Study Findings Have Been Reported by Investigators at Unive rsity of Concepcion (A Supervised Machine Learning Approach for Estimating Plate Interface Locking: Application To Central Chile)

    32-33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 Machine Learn ing have been published. According to newsreporting originating from Concepcion , Chile, by NewsRx correspondents, research stated, “Estimating locking degree a t faults is important for determining the spatial distribution of slip deficit a t seismic gaps.Inverse methods of varying complexity are commonly used to estim ate fault locking.”

    Researchers at University of Leuven (KU Leuven) Target Machine Learning (Compari son between the EKFC-equation and machine learning models to predict Glomerular Filtration Rate)

    33-34页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Data detailed on artificial intelligen ce have been presented. According to news reportingoriginating from the Univers ity of Leuven (KU Leuven) by NewsRx correspondents, research stated, “In clinica l practice, the glomerular filtration rate (GFR), a measurement of kidney functi oning, is normallycalculated using equations, such as the European Kidney Funct ion Consortium (EKFC) equation.”

    Data on Robotics Reported by Researchers at Jiangxi University of Science and Te chnology (A Novel Mobile Robot With Origami Wheels Designed for Navigating Sandy Terrains)

    34-35页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - A new study on Robotics is now availab le. According to news reporting out ofGanzhou, People’s Republic of China, by N ewsRx editors, research stated, “Sand robots play a vitalrole as mobile tools f or human exploration of desert regions, facilitating resource transportation andexploration. However, desert areas primarily consist of beaches or dunes, resul ting in a highly diverse andcomplex terrain environment that demands enhanced a daptability from sandy mobile robots.”

    Study Results from University of Texas MD Anderson Cancer Center in the Area of Robotics Reported (Robotic Hepatic Parenchymal Transection Techniques: a Choice Between Imperfect Tools)

    35-36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 fromHouston, Texas, by NewsRx journalists , research stated, “Regardless of approach, safe and effectiveparenchymal trans ection is critical for hepatectomies.1 In robotic surgery, this can be accomplis hed viaseveral methods. The authors highlight some of the more common tools and techniques used to transectthe liver.”

    Reports Outline Robotics Study Findings from Chongqing Technology and Business U niversity (An Indoor Blind Area-oriented Autonomous Robotic Path Planning Approa ch Using Deep Reinforcement Learning)

    36-37页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - A new study on Robotics is now availab le. According to news reporting originatingfrom Chongqing, People’s Republic of China, by NewsRx correspondents, research stated, “Deep reinforcementlearning (DRL) provides a new solution for autonomous robotic path planning in a known in doorenvironment. Previous studies mainly focused on robot path optimization but ignored blind areas in theindoor exploration, naturally result in low coverage rate and low exploration efficiency.”

    Guangdong University of Science and Technology Researcher Reports Research in Su pport Vector Machines (A multi-source data fusion model for traffic flow predict ion in smart cities)

    37-38页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on is the subject of a ne w report. According to news reportingoriginating from Guangdong, People’s Repub lic of China, by NewsRx correspondents, research stated,“The emergence of probl ems such as increased urban traffic and transportation, traffic congestion, androad resource shortages prompted the city to prioritize the construction of inte lligent transportation.”