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    Study Data from Ningbo University Provide New Insights into Computational Intell igence (Wformer: a Transformer-based Soft Fusion Model for Robust Image Watermar king)

    59-60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 Machine Learning - Co mputational Intelligence have been presented. According to news originating from Ningbo, People’s Republic of China, by NewsRx correspondents, research stated, “Most deep neural network (DNN) based image watermarking models often employ the encoder-noise-decoder structure, in which watermark is simply duplicated for expansion and then directly fused with image features to produce the encoded image . However, simple duplication will generate watermark over-redundancies, and the communication between the cover image and watermark in different domains is lac king in image feature extraction and direction fusion, which degrades the waterm arking performance.”

    Investigators at Inner Mongolia University of Technology Detail Findings in Robotics (Autonomous Positioning, Capturing, and Grasping Mechanism for Robot End Effectors Based On the Attraction Domain Relationship)

    60-61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. After the capture is completed, the grasping mechanism connects the active end and the passive end, simultaneously relying on the gravity of the target object to achieve locking and release between the robot and the target object.

    Researchers at University of Verona Release New Data on Robotics [The General Attitudes Towards Robots Scale (Gators): a Preliminary Validation of the Italian Version]

    61-62页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Robotic s. According to news reporting from Verona, Italy, by NewsRx journalists, research stated, “Social robots and Artificial Intelligence (AI) are two technologies currently benefitting from significant scientific advancements. By consequence, the development of social robots equipped with AI is also progressing fast, and their presence and relevance in our lives are set to increase considerably.”

    Researchers at University of Waterloo Have Reported New Data on Robotics (Anytime Replanning of Robot Coverage Paths for Partially Unknown Environments)

    62-63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 out of Waterloo, Canada, by NewsRx editors, research stated, “In this article, we propose a method to replan coverage paths for a robot operating in an environment with initially unknown static obstacles. Existing coverage approaches reduce coverage time by covering along the minimum number of coverage lines (straight-line paths).”

    Researcher at Department of Internal Medicine Publishes New Data on Artificial Intelligence (Perceptions and attitudes toward artificial intelligence among frontline physicians and physicians’ assistants in Kansas: a cross-sectional survey)

    63-63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 artificial intelligence is now available. According to news reporting from the Department of Internal M edicine by NewsRx journalists, research stated, “This survey aims to understand frontline healthcare professionals’ perceptions of artificial intelligence (AI) in healthcare and assess how AI familiarity influences these perceptions. We con ducted a survey from February to March 2023 of physicians and physician assistants registered with the Kansas State Board of Healing Arts.”

    Study Results from University of Illinois Chicago Provide New Insights into Mach ine Learning (Machine Learning Reveals Microbial Taxa Associated with a Swim across the Pacific Ocean)

    64-64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 intelligence have been presented. According to news reporting originating from Chicago, Illinois, by NewsRx correspondents, research stated, “This study aimed to characterize the association between microbial dynamics and excessive exercise.”

    New Robotics Findings Reported from University of Toulouse (Sensitivity Analysis of a Suspended Cable-driven Parallel Robot To Design Parameters)

    65-65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 originating in Toulouse, France, by NewsRx journalists, research stated, “Cable-driven parallel robots (CDPRs) are system driven exclusively by cables, giving them advantages in operation. However, this also introduces complexity into their mechanical behavior.”

    Report Summarizes Machine Learning Study Findings from Medical University of Lub lin (Machine learning and IoT system for real-time cough detection and classification)

    66-66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 ar tificial intelligence. According to news originating from Medical University of Lublin by NewsRx editors, the research stated, “Our research investigates the ap plication of machine learning and Internet of Things (IoT) technologies in healt hcare, focusing on detecting and classifying coughing episodes.”

    Xiamen University Reports Findings in Machine Learning (Dynamic patterns and pot ential drivers of river water quality in a coastal city: Insights from a machine -learning-based framework and water management)

    66-67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 the subject of a report. According to news reporting originating from Xiamen, People’s Republic of China, by NewsRx correspondents, research stated, “River water quality continues to deteriorate under the coupled effects of climate change and human activities. Machine learning (ML) is a promising approach for analyzing w ater quality.”

    New Findings from China Geology Survey in the Area of Machine Learning Reported (Spatial Prediction of Ground Substrate Thickness In Shallow Mountain Area Based On Machine Learning Model)

    67-68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 out of Langfang, People’s Republic of China, by NewsRx editors, research stated, “The thickness of ground substrate in shallow mountainous areas is a crucial indicator for substrate investigations and a key factor in evaluating substrate quality and function. Reliable data acquisition methods are essential for effective investigation. Methods This study utilizes six machine learning algorithms-Gradient Boosting Machine (GB), Random Forest (RF), AdaBoost Regressor (AB), Neural Network (NN), Support Vector Machine (SVM), and k-Nearest Neighbors (kNN)-to predict ground substrate thick ness.”