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    Paul Scherrer Institute Researchers Publish New Data on Machine Learning (Direct mineral content prediction from drill core images via transfer learning)

    41-42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 artificial in telligence have been published. According to news reporting originating from the Paul Scherrer Institute by NewsRx correspondents, research stated, “Deep subsur face exploration is important for mining, oil and gas industries, as well as in the assessment of geological units for the disposal of chemical or nuclear waste , or the viability of geothermal energy systems.”

    New Machine Learning Study Findings Have Been Reported from SRM Institute of Sci ence and Technology (Novel Feature Generation for Classification of Motor Activi ty from Functional Near-Infrared Spectroscopy Signals Using Machine Learning)

    42-43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 artificial in telligence have been published. According to news reporting from Chennai, India, by NewsRx journalists, research stated, “Recent research in the field of cognit ive motor action decoding focuses on data acquired from Functional Near-Infrared Spectroscopy (fNIRS) and its analysis. This research aims to classify two diffe rent motor activities, namely, mental drawing (MD) and spatial navigation (SN), using fNIRS data from non-motor baseline data and other motor activities.”

    Studies from China Jiliang University Reveal New Findings on Computational Intel ligence (Pv-ssd: a Multi-modal Point Cloud 3d Object Detector Based On Projectio n Features and Voxel Features)

    43-44页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Machine Learning - Computational Intelligence are discussed in a new report. According to news re porting originating from Hangzhou, People’s Republic of China, by NewsRx corresp ondents, research stated, “3D object detection using LiDAR is critical for auton omous driving. However, the point cloud data in autonomous driving scenarios is sparse.”

    Beihang University Reports Findings in Support Vector Machines (An analog circui t fault diagnosis method using improved sparrow search algorithm and support vec tor machine)

    44-45页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on Support Vector Machines is the su bject of a report. According to news reporting out of Beijing, People’s Republic of China, by NewsRx editors, research stated, “In analog circuits, component to lerances and circuit nonlinearity pose obstacles to fault diagnosis. To solve th is problem, a soft fault diagnosis method based on Sparrow Search Algorithm (SSA ) and Support Vector Machine (SVM) is used.”

    University of Sao Paulo Reports Findings in Machine Learning (Carcass traits and morphometry, typification of the Longissimus dorsi muscle and non-carcass compo nents of hair lambs: can biscuit bran completely replace corn? A machine learnin g ...)

    45-46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 from Sao Paulo, B razil, by NewsRx correspondents, research stated, “Biscuit bran (BB) is a co-pro duct with worldwide distribution, with Brazil as the second largest cookie produ cer in the world with 1,157,051 tons. We evaluate the impact of completely repla cing corn with BB on the characteristics and morphometry of carcass of purebred and crossbred Morada Nova lambs using machine learning techniques as an auxiliar y method.”

    Copenhagen University Hospital Reports Findings in Squamous Cell Carcinoma (Cuta neous squamous cell carcinoma characterized by MALDI mass spectrometry imaging i n combination with machine learning)

    46-47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 Oncology - Squamous Ce ll Carcinoma is the subject of a report. According to news reporting out of Cope nhagen, Denmark, by NewsRx editors, research stated, “Cutaneous squamous cell ca rcinoma (SCC) is an increasingly prevalent global health concern. Current diagno stic and surgical methods are reliable, but they require considerable resources and do not provide metabolomic insight.” Funders for this research include Lundbeck Foundation, Research fund of the Capi tal Region of Denmark, Carlsberg Foundation.

    Researcher at James Cook University Publishes New Data on Artificial Intelligenc e [Adding External Artificial Intelligence (AI) into Internal Firm-Wide Smart Dynamic Warehousing Solutions]

    47-48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 intelligen ce have been presented. According to news reporting from Cairns, Australia, by N ewsRx journalists, research stated, “This study advances knowledge in the AI fie ld. It provides deep insight into current industry generative AI inclusion syste ms.”

    Amsterdam University Medical Center Reports Findings in Artificial Intelligence (Artificial intelligence-powered clinical decision making within gastrointestina l surgery: A systematic review)

    48-49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 from Amsterdam, Nether lands, by NewsRx journalists, research stated, “Clinical decision-making in gast rointestinal surgery is complex due to the unpredictability of tumoral behavior and postoperative complications. Artificial intelligence (AI) could aid in clini cal decision-making by predicting these surgical outcomes.”

    Researchers from Concordia University Report Details of New Studies and Findings in the Area of Machine Learning (Prediction of Selfconsolidating Concrete Prop erties Using Xgboost Machine Learning Algorithm: Rheological Properties)

    51-51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 Machine Lea rning. According to news originating from Montreal, Canada, by NewsRx correspond ents, research stated, “Rheological properties are critical for assessing self-c onsolidating concrete (SCC)’s performance and application. However, predicting t hese properties accurately, specifically plastic viscosity and yield stress, fac es challenges due to inconsistent data, small sample sizes, and measurement inac curacies, with the type of rheometer significantly impacting results.”

    Data on Machine Learning Reported by Hubert Baginski and Colleagues (A machine l earning approach to detect potentially harmful and protective suicide-related co ntent in broadcast media)

    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 Machine Learning is th e subject of a report. According to news reporting out of Vienna, Austria, by Ne wsRx editors, research stated, “Suicide-related media content has preventive or harmful effects depending on the specific content. Proactive media screening for suicide prevention is hampered by the scarcity of machine learning approaches t o detect specific characteristics in news reports.” Financial supporters for this research include Vibrant Emotional Health, Vienna Science and Technology Fund.