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    Reports Outline Machine Learning Study Findings from Dalian University of Techno logy (Tiny Machine Learning for Efficient Channel Selection In Lorawan)

    50-51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 from Dalian, People’s Repub lic of China, by NewsRx journalists, research stated, “Machine learning (ML) has emerged as a promising avenue for enhancing the efficiency and intelligence of channel allocation processes.However, deploying ML algorithms on resource-const rained edge devices poses significant challenges due to their limited computatio nal capabilities and storage capacities.”Funders for this research include National Natural Science Foundation of China ( NSFC), National Science and Technology Council, Taiwan.

    University Hospital Dusseldorf Reports Findings in Artificial Intelligence (Arti ficial Intelligence for Contrast-Enhanced Ultrasound of the Liver: A Systematic Review)

    51-52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 originating from Dusse ldorf, Germany, by NewsRx correspondents, research stated, “The research field o f artificial intelligence (AI) in medicine and especially in gastroenterology is rapidly progressing with the first AI tools entering routine clinical practice, for example, in colorectal cancer screening.Contrastenhanced ultrasound (CEUS ) is a highly reliable, low-risk, and low-cost diagnostic modality for the exami nation of the liver.”

    Researchers at P.G. Demidov Yaroslavl State University Have Published New Study Findings on Machine Learning (Text classification by CEFR levels using machine l earning methods and BERT language model)

    52-53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 originating from P.G.Demid ov Yaroslavl State University by NewsRx correspondents, research stated, “This p aper presents a study of the problem of automatic classification of short cohere nt texts (essays) in English according to the levels of the international CEFR s cale.Determining the level of text in natural language is an important componen t of assessing students knowledge, including checking open tasks in e-learning s ystems.”

    Study Data from Tianjin University Update Knowledge of Artificial Intelligence ( An Artificial Intelligence Based Self-adaptive Dynamic Process Control System fo r Enhancing In-situ Bioremediation of Benzene-contaminated Groundwater - Part I ...)

    53-54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 out of Tianjin, People’s Republic of China, by NewsRx editors, research stated, “This study develops a new AI-bas ed self-adaptive dynamic process control (SADPC) system based on stepwise infere nce combined with genetic algorithm optimization technologies, including a filte red-clustering inference prediction model (FCI simulator), a stepwise inference controller (SI emulator), a model predictive control controller, and two optimiz ers.This system effectively reflects the dynamics and complexity of the bioreme diation process and controls the remediation system based on the feedback inform ation.”

    Researchers at Yale University Target Machine Learning (Transcribing Medieval Ma nuscripts for Machine Learning)

    54-55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 reporting out of Yale University by New sRx editors, research stated, “This article focuses on the transcription of medi eval manuscripts.”

    Technical University Munich (TU Munich)Reports Findings in Machine Learning (Ma chine Learning-Driven Data Valuation for Optimizing High-Throughput Screening Pi pelines)

    55-55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 in Garching bei M unchen, Germany, by NewsRx journalists, research stated, “In the rapidly evolvin g field of drug discovery, high-throughput screening (HTS) is essential for iden tifying bioactive compounds.This study introduces a novel application of data v aluation, a concept for evaluating the importance of data points based on their impact, to enhance drug discovery pipelines.”

    New Findings from University of Science and Technology Beijing in the Area of Ro botics Described (Leader-follower Circumnavigation Control of Non-holonomic Robo ts Using Distance-related Information)

    56-56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 out of Beijing, People’s Republic of China, by Ne wsRx editors, research stated, “This paper studies the leader-follower circumnav igation problem of two non-holonomic robots using just an angular velocity adjus tment.Specifically, two robots orbit around a stationary target along a circle trajectory with a pre-specified spacing distance apart and velocity.”

    Research on Machine Learning Reported by a Researcher at Mutah University (Machi ne Learning-Aided Dual-Function Microfluidic SIW Sensor Antenna for Frost and Wi ldfire Detection Applications)

    57-57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 artificial intelligence are presented in a new report.According to news originating from Mutah Universi ty by NewsRx correspondents, research stated, “In this paper, which represents a fundamental step in ongoing research, a new smart low-energy dual-function half - mode substrate integrated waveguide cavity-interdigital capacitor (HMSIWC-DIC) antenna-based sensor is developed and investigated for remote frost and wildfire detection applications at 5.7 GHz.”Funders for this research include North Atlantic Treaty Organization.

    University of Naples Federico II Reports Findings in Machine Learning (Machine l earning-based discrimination of benign and malignant breast lesions on US: The c ontribution of shear-wave elastography)

    58-58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 out of Naples, Italy, by News Rx editors, research stated, “To build and validate a combined radiomics and mac hine learning (ML) approach using B-mode US and SWE images to differentiate beni gn from malignant solid breast lesions (BLs) and compare its performance with th at of an expert radiologist.Patients with at least one BI-RADS 2-6 BL who perfo rmed breast US integrated with SWE were retrospectively included.”

    Guangzhou University Details Findings in Robotics (How Industrial Robots Affect Labor Income Share In Task Model: Evidence From Chinese A-share Listed Companies )

    59-59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 from Guangzhou, People’ s Republic of China, by NewsRx correspondents, research stated, “This paper anal yses the impact of the use of industrial robots on labor income shares at both t he theoretical and empirical levels.On the theoretical side, the role of induce d technological progress, the creation of new tasks, and the penetration of indu strial robots on labor income shares are systematically explored by incorporatin g industrial robots into task models and endogenizing the task induced technolog ical progress.”