Towards a General Framework to Embed Advanced Machine Learning in Process Control Systems
Norwegian Univ. of Life Sciences（挪威生命科学大学）；KAI GmbH（KAI有限公司）；Infineon Technologies Austria AG（英飞凌科技奥地利股份公司）；Know-Center GmbH（知识中心有限公司）；Graz University of Technology（格拉茨工业大学）
Stefan Schrunner, Michael Scheiber, Anna Jenul, Anja Zernig, Andre Kästner, Roman Kern
Since high data volume and complex data formats delivered in modern high-end production environments go beyond the scope of classical process control systems, more advanced tools involving machine learning are required to reliably recognize failure patterns. However, currently, such systems lack a general setup and are only available as application-specific solutions. We propose a process control framework entitled Health Factor for Process Control (HFPC) to bridge the gap between conventional statistical tools and novel machine learning (ML) algorithms. HFPC comprises two main concepts: (a) pattern type to account for qualitative characteristics (error patterns) and (b) intensity to quantify the level of a deviation. While the system retains large model generality, allowing a broad scope of potential application areas, we demonstrate its favorable mathematical properties in a theoretical analysis. In a case study from the semiconductor industry, we underline that (a) our framework is of practical relevance and goes beyond conventional process control, and (b) achieves high-quality experimental results. We conclude that our work contributes to the integration of ML in real-world process control and paves the way to automated decision support in manufacturing.
Parkinson's Disease Detection through Vocal Biomarkers and Advanced Machine Learning Algorithms
New Jersey City University（新泽西城市大学）；University of South Dakota（南达科他大学）；Monroe College（门罗学院）；University of Texas at Dallas（德州大学达拉斯分校）；International American University（国际美国大学）；Gannon University（甘农大学）；Saint Francis College（圣弗朗西斯学院）
A Novel Tropical Geometry-based Interpretable Machine Learning Method: Application in Prognosis of Advanced Heart Failure
University of Michigan（密歇根大学）；Northeastern University（东北大学）；Michigan Institute for Data Science（密歇根数据科学研究所）；Michigan Center for Integrative Research in Critical Care（密歇根重症监护综合研究中心）
Integrating Score-Based Diffusion Models with Machine Learning-Enhanced Localization for Advanced Data Assimilation in Geological Carbon Storage
Faculty of Civil Engineering；Geosciences, TU Delft, Stevinweg 1, 2628 CN Delft, Netherlands；Centrum Wiskunde \& Informatica, Science Park 123, 1098 XG Amsterdam, Netherlands；Simulation Group, Imperial College London, London, United Kingdom；Department of Energy Resources Engineering, Stanford University, CA, USA
Intelligent Road Inspection with Advanced Machine Learning; Hybrid Prediction Models for Smart Mobility and Transportation Maintenance Systems
Shahrood University of Technology（沙赫鲁德理工大学）；Louisiana State University（路易斯安那州立大学）；Ton Duc Thang University（同塔大学）；Oxford Brookes University（牛津布鲁克斯大学）；Bauhaus University Weimar（魏玛包豪斯大学）；Queensland University of Technology（昆士兰科技大学）；Duy Tan University（岘港大学（越南东塔大学））；J. Selye University（塞莱大学）；Obuda University（奥布达大学）
Machine Learning-Based Classification of Jhana Advanced Concentrative Absorption Meditation Using 7 Tesla Functional Magnetic Resonance Imaging
Indian Institute of Technology Ropar（印度理工学院罗巴尔分校）；Massachusetts General Hospital（麻省总医院）；Harvard Medical School（哈佛医学院）；National Institute of Technology Jalandhar（印度贾朗达尔国家技术学院）；Zhejiang University（浙江大学）
Earthquake Damage Grades Prediction using An Ensemble Approach Integrating Advanced Machine and Deep Learning Models
Department of Computer Science and Engineering, Institute of Technical Education and Research, Siksha ’O’ Anusandhan University（计算机科学与工程系，技术教育与研究学院，锡沙‘O’安舒丹大学）
Machine learning-guided synthesis of advanced inorganic materials
School of Materials Science and Engineering, Nanyang Technological University（南洋理工大学材料科学与工程学院）；School of Computer Science and Engineering, Nanyang Technological University（南洋理工大学计算机科学与工程学院）；State Key Laboratory of Heavy Oil Processing, China University of Petroleum (Beijing)（中国石油大学（北京）重质油国家重点实验室）；Centre for Micro-/Nano-electronics (NOVITAS), School of Electrical & Electronic Engineering, Nanyang Technological University（南洋理工大学电气与电子工程学院微/纳米电子中心（NOVITAS））；CINTRA CNRS/NTU/THALES, UMI 3288（法国国家科学研究中心-南洋理工大学-泰雷兹联合实验室（CINTRA UMI 3288））；Chemistry and Materials Centre, Nanyang Environment and Water Research Institute（南洋环境与水研究所化学与材料中心）
Towards a Robust Soft Baby Robot With Rich Interaction Ability for Advanced Machine Learning Algorithms
King Abdullah University of Science and Technology (KAUST)（阿卜杜拉国王科技大学）；Saudi Basic Industries Corporation (SABIC)（沙特基础工业公司）；optoXense, Inc.（optoXense公司）；NNAISENSE（NNAISENSE公司）；Center of Excellence in Generative AI, King Abdullah University of Science and Technology (KAUST)（阿卜杜拉国王科技大学生成式AI卓越中心）；Dalle Molle Institute for Artificial Intelligence Research (IDSIA)（达勒·莫勒人工智能研究所）；Università della Svizzera italiana (USI)（意大利语瑞士大学）；Scuola universitaria professionale della Svizzera italiana (SUPSI)（意大利语瑞士应用科学大学）
Leveraging Data Mining, Active Learning, and Domain Adaptation in a Multi-Stage, Machine Learning-Driven Approach for the Efficient Discovery of Advanced Acidic Oxygen Evolution Electrocatalysts
Pritzker School of Molecular Engineering, University of Chicago（芝加哥大学普利兹克分子工程学院）；Data Science Institute, University of Chicago（芝加哥大学数据科学研究所）；Argonne National Laboratory（阿贡国家实验室）；North China Electric Power University（华北电力大学）；Nanjing University（南京大学）；The Hong Kong University of Science and Technology（香港科技大学）；Department of Computer Science, University of Chicago（芝加哥大学计算机科学系）
Enhanced Predictive Modeling for Hazardous Near-Earth Object Detection: A Comparative Analysis of Advanced Resampling Strategies and Machine Learning Algorithms in Planetary Risk Assessment
Enhancing Uncertain Demand Prediction in Hospitals Using Simple and Advanced Machine Learning
School of Mathematics, University of Bristol（布里斯托大学数学学院）；School of Engineering and Informatics, University of Sussex（萨塞克斯大学工程与信息学院）；NHS Integrated Care Board（英国国家医疗服务体系综合护理委员会）；School of Business, University of Bristol（布里斯托大学商学院）；Centre Hospitalier Universitaire Vaudois (CHUV)（沃州大学医院中心）
Advanced machine learning informatics modeling using clinical and radiological imaging metrics for characterizing breast tumor characteristics with the OncotypeDX gene array
The Johns Hopkins University School of Medicine（约翰斯·霍普金斯大学医学院）
Leveraging Advanced Machine Learning to Predict Turbulence Dynamics from Temperature Observations at an Experimental Prescribed Fire
Department of Mathematical Science, Eastern New Mexico University（数学科学系，东部新墨西哥大学）；USDA Forest Service, Northern Research Station（美国农业部林业局北部研究站）；Department of Mathematical Science, University of Alabama at Birmingham（数学科学系，阿拉巴马大学伯明翰分校）
