Industrial Product Quality Analysis Based on Online Machine Learning by Yiming Yin, Ming Wan, Panfeng Xu, Rui Zhang, Yang Liu, Yan Song

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Computerized Hammer Sounding Interpretation for Concrete Assessment with Online Machine Learning by Jiaxing Ye, Takumi Kobayashi, Masaya Iwata, Hiroshi Tsuda, Masahiro Murakawa

“…In this study, we propose a novel hammering response analysis system using online machine learning, which aims at achieving near-human performance in assessment of concrete structures. …”
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Online Machine Learning for 1-Day-Ahead Prediction of Indoor Photovoltaic Energy by Frank Alexander Kraemer, Hafiz Areeb Asad, Kerstin Bach, Bernd-Christian Renner

“…Our study is based on a data set covering over 3 years, for which we simulate online machine learning algorithms with different amounts of training data and input features. …”
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Smart data structures : an online machine learning approach to multicore data structures by Eastep, Jonathan M. (Jonathan Michael)

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Online Machine Learning of Available Capacity for Vehicle-to-Grid Services during the Coronavirus Pandemic by Rob Shipman, Rebecca Roberts, Julie Waldron, Chris Rimmer, Lucelia Rodrigues, Mark Gillott

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Dynamic Industrial Optimization: A Framework Integrates Online Machine Learning for Processing Parameters Design by Yu Yao, Quan Qian

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Ensemble-Based Online Machine Learning Algorithms for Network Intrusion Detection Systems Using Streaming Data by Nathan Martindale, Muhammad Ismail, Douglas A. Talbert

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Incremental Online Machine Learning for Detecting Malicious Nodes in Vehicular Communications Using Real-Time Monitoring by Souad Ajjaj, Souad El Houssaini, Mustapha Hain, Mohammed-Alamine El Houssaini

“…In this paper, we propose a new approach for attack detection in VANETs based on incremental online machine learning. This approach uses data collected from the monitoring of the VANET nodes’ behavior in real time and trains an online model using incremental online learning algorithms. …”
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SUPPORTING POST-GRADUATE STUDENTS WRITING SKILLS DEVELOPMENT WITH THE ONLINE MACHINE LEARNING TOOL: WRITE & IMPROVE by Ілона Іванівна Костікова, Світлана Вадимівна Мясоєдова

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Prediction Procedure of Parasitic Parameters Considering Laminated Bus Bar Geometries Based on Online Machine Learning by Ryosuke Shigetomi, Keiji Wada

“…This article describes how large datasets can be obtained from multiple installments and perform online machine learning using XGBoost. To discuss the benefits of online machine learning, the prediction accuracy using test data in multiple machine learning models with different amounts of training data is compared. …”
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Online Machine Learning and Surrogate-Model-Based Optimization for Improved Production Processes Using a Cognitive Architecture by Alexander Hinterleitner, Richard Schulz, Lukas Hans, Aleksandr Subbotin, Nils Barthel, Noah Pütz, Martin Rosellen, Thomas Bartz-Beielstein, Christoph Geng, Phillip Priss

“…Given that machines in these processes continuously generate large streams of data, Online Machine Learning (OML) is identified as a crucial extension to the existing architecture. …”
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Online Machine Learning from Non-stationary Data Streams in the Presence of Concept Drift and Class Imbalance: A Systematic Review by Abdul Sattar Palli, Jafreezal Jaafar, Abdul Rehman Gilal, Aeshah Alsughayyir, Heitor Murilo Gomes, Abdullah Alshanqiti, Mazni Omar

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Sequential Detection of Microgrid Bad Data via a Data-Driven Approach Combining Online Machine Learning With Statistical Analysis by Heming Huang, Heming Huang, Fei Liu, Tinghui Ouyang, Xiaoming Zha

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Online Machine Learning from Non-stationary Data Streams in the Presence of Concept Drift and Class Imbalance: A Systematic Review by Palli, Abdul Sattar, Jaafar, Jafreezal, Gilal, Abdul Rehman, Alsughayyir, Aeshah, Gomes, Heitor Murilo, Alshanqiti, Abdullah, Omar, Mazni

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A novel interpretative tool for early prediction of low cardiac output syndrome after valve surgery: online machine learning models by Liang Hong, Tianling Feng, Runze Qiu, Shiteng Lin, Yinying Xue, Kaizong Huang, Chen Chen, Jiawen Wang, Rongrong Xie, Sanbing Song, Cui Zhang, Jianjun Zou

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Applying Learning and Self-Adaptation to Dynamic Scheduling by Bernhard Werth, Johannes Karder, Michael Heckmann, Stefan Wagner, Michael Affenzeller

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Online machine learning approach for system marginal price forecasting using multiple economic indicators: A novel model for real-time decision making by Taehyun Kim, Byeongmin Ha, Soonho Hwangbo

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Enhancing Water Depth Estimation from Satellite Images Using Online Machine Learning: A Case Study Using Baidu Easy-DL with Acoustic Bathymetry and Sentinel-2 Data by Zhongqiang Wu, Shulei Wu, Haixia Yang, Zhihua Mao, Wei Shen

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Improving Industrial Robot Positioning Accuracy to the Microscale Using Machine Learning Method by Vytautas Bucinskas, Andrius Dzedzickis, Marius Sumanas, Ernestas Sutinys, Sigitas Petkevicius, Jurate Butkiene, Darius Virzonis, Inga Morkvenaite-Vilkonciene

Subjects: “…online machine learning…”
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Support patient search on pathology reports with interactive online learning based data extraction by Shuai Zheng, James J Lu, Christina Appin, Daniel Brat, Fusheng Wang

Subjects: “…Controlled vocabularies, data extraction, online machine learning, pathology reports, patient search…”
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