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    Data on Agricultural Robots Described by Researchers at Jilin Agricultural University (Apple-Harvesting Robot Based on the YOLOv5-RACF Model)

    19-20页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators publish new report on agricultural robots. According to news originating from Changchun, People’s Republic of China , by NewsRx correspondents, research stated, “To address the issue of automated apple harvesting in orchards, we propose a YOLOv5-RACF algorithm for identifying apples and calculating apple diameters.” Additional authors for this research include Weijian Zhang, Suyu Wang, Bo Jiang, Xin Feng, Qinglai Zhao.

    Sun Yat-sen University Reports Findings in Machine Learning (A machine learning- based prediction model for delayed clinically important postoperative nausea and vomiting in high-risk patients undergoing laparoscopic gastrointestinal surgery)

    20-21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 Guangzhou, People’s Re public of China, by NewsRx editors, research stated, “Delayed clinically importa nt postoperative nausea and vomiting (CIPONV) could lead to significant conseque nces following surgery. We aimed to develop a prediction model for it using mach ine learning algorithms utilizing perioperative data from patients undergoing la paroscopic gastrointestinal surgery.”

    University Health Network Reports Findings in Artificial Intelligence (Artificia l intelligence applied to ‘omics data in liver disease: towards a personalised a pproach for diagnosis, prognosis and treatment)

    21-22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 in Toronto , Canada, by NewsRx journalists, research stated, “Advancements in omics technol ogies and artificial intelligence (AI) methodologies are fuelling our progress t owards personalised diagnosis, prognosis and treatment strategies in hepatology. This review provides a comprehensive overview of the current landscape of AI me thods used for analysis of omics data in liver diseases.”

    Shanghai Jiao Tong University Reports Findings in Machine Learning (Mapping the constituent preference of tree species for capturing particulate matter on leaf surfaces using single-particle mass spectrometry and supervised machine learning)

    22-23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 from Shanghai, People’s Repub lic of China, by NewsRx journalists, research stated, “Respiratory health is neg atively influenced by the dimensions and constituents of particulate matter (PM) . Although mass concentration is widely acknowledged to be key to assessing dust retention by urban trees, the role of plant leaves in filtering PM from the urb an atmosphere, particularly regarding the particle dimensions and chemical const ituents of retained PM on the leaf, remains elusive.”

    Findings in Machine Learning Reported from National University Sur (Machine Lear ning model interpretability using SHAP values: Application to Igneous Rock Class ification task)

    23-24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 artific ial intelligence. According to news originating from Bahia Blanca, Argentina, by NewsRx correspondents, research stated, “El Fierro intrusive body is one of the bodies that compose the La Jovita-Las Aguilas mafic-ultramafic belt, located in the Sierra Grande de San Luis, Argentina. The units of this belt carry a base m etal sulfide (BMS) mineralization and platinum group minerals (PGM).”

    Study Findings from Wright State University Advance Knowledge in Machine Learning (Optical sensor for BTEX detection: Integrating machine learning for enhanced sensing)

    24-24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 originating from Wright State University by NewsRx correspondents, research stated, “Optical sensors provide a fa st and real-time approach to detect benzene, toluene, ethylbenzene, and xylenes (BTEX) in environmental monitoring and industrial safety.”

    New Machine Learning Findings from Aristotle University of Thessaloniki Described (Enhancing 3d Indoor Visible Light Positioning With Machine Learning Combined Nystrom Kernel Approximation)

    25-26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 from Thessaloniki, Greece, b y NewsRx journalists, research stated, “Optical wireless communication (OWC) is emerging as a pivotal technology for next-generation broadcast networks, with vi sible light communication (VLC) poised to meet the escalating demands of advance d radio frequency systems. This study focuses on enhancing visible light positio ning (VLP), recognized for its precision, simplicity, and cost-effectiveness, wh ich are essential for accurate indoor localization and responsive location-based services.”

    Studies from Beijing University Describe New Findings in Artificial Intelligence (Feasibility Study of Edge Computing Empowered by Artificial Intelligence-A Qua ntitative Analysis Based on Large Models)

    26-26页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New study results on artificial intell igence have been published. According to news originating from Beijing, People’s Republic of China, by NewsRx correspondents, research stated, “The advancement of artificial intelligence (AI) demands significant data and computational resou rces that have an adverse impact on the environment.”

    Findings on Robotics and Machine Learning Reported by Investigators at North Chi na University of Technology (Improved Multiverse Optimizer-based Anti-saturation Model Free Adaptive Control and Its Application To Manipulator Grasping Systems)

    27-28页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators discuss new findings in Robotics an d Machine Learning. According to news originating from Beijing, People’s Republi c of China, by NewsRx correspondents, research stated, “To address the stable gr asping control issue in manipulator grasping systems, this manuscript proposes a n improved multiverse optimizer-based anti-saturation model-free adaptive contro l (IMVO-AS-MFAC) algorithm. Initially, the manuscript converts the manipulator g rasping system into an equivalent data model through dynamic linearization techn iques.”

    Guangdong University of Petrochemical Technology Reports Findings in Machine Lea rning (Machine learning-assisted fluorescence visualization for sequential quant itative detection of aluminum and fluoride ions)

    28-28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 from Maoming, People’s Republ ic of China, by NewsRx journalists, research stated, “The presence of aluminum ( Al) and fluoride (F) ions in the environment can be harmful to ecosystems and hu man health, highlighting the need for accurate and efficient monitoring. In this paper, an innovative approach is presented that leverages the power of machine learning to enhance the accuracy and efficiency of fluorescence-based detection for sequential quantitative analysis of aluminum (Al) and fluoride (F) ions in a queous solutions.”