Relevant bibliographies by topics / Time machine system

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Time machine system'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Time machine system"

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Bansal, Dheeraj, David J. Evans, and Barrie Jones. "A real-time predictive maintenance system for machine systems." International Journal of Machine Tools and Manufacture 44, no. 7-8 (2004): 759–66. http://dx.doi.org/10.1016/j.ijmachtools.2004.02.004.

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Pangsuban, Preecha, Prachyanun Nilsook, and Panita Wannapiroon. "A Real-time Risk Assessment for Information System with CICIDS2017 Dataset Using Machine Learning." International Journal of Machine Learning and Computing 10, no. 3 (2020): 465–70. http://dx.doi.org/10.18178/ijmlc.2020.10.3.958.

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Li, Wenbin, Zhihan Lv, Darren Cosker, and Yongliang Yang. "Learning system in real-time machine vision." Neurocomputing 288 (May 2018): 1–2. http://dx.doi.org/10.1016/j.neucom.2017.12.035.

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Sitompul, Erwin, and Agus Rohmat. "IoT-based Running Time Monitoring System for Machine Preventive Maintenance Scheduling." ELKHA 13, no. 1 (2021): 33. http://dx.doi.org/10.26418/elkha.v13i1.44202.

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Machines are valuable assets that need to be protected from damage and failure through proper maintenance measures. This paper proposes a system that automatically monitors the running time of machines and sends notifications regarding their preventive maintenance (PM) schedules. The system core consists of a programmable logic controller (PLC) and a human machine interface (HMI). The HMI is connected to an online platform via internet connection provided by a router, so that the monitoring result can be accessed via Android smartphone or laptop/PC. This IoT-based running time monitoring syste
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Makarov, Denis, Seirgei Miller, Faridaddin Vahdatikhaki, and André Dorée. "Comprehensive real-time pavement operation support system using machine-to-machine communication." International Journal of Pavement Research and Technology 13, no. 1 (2019): 93–107. http://dx.doi.org/10.1007/s42947-019-0089-x.

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Wong, Tzen Ket, Hou Kit Mun, Swee King Phang, Kai Lok Lum, and Wei Qiang Tan. "Real-time Machine Health Monitoring System using Machine Learning with IoT Technology." MATEC Web of Conferences 335 (2021): 02005. http://dx.doi.org/10.1051/matecconf/202133502005.

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Machine health monitoring is the main focal point for now as many industries are evolving to industry 4.0. Industry 4.0 is the revolution in industrial that involve the Internet of Things (IoT) and artificial intelligence toward automation and data sharing for production efficiency improvement. The existing established methods for machine health monitoring were not in real-time and there was no real-time correction of data from the load and processing of data on the computer. In tracking machine health efficiency this approach wasn’t very successful. Real-time machine health monitoring can imp
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Velmurugan, K., P. Venkumar, and Pandian R. Sudhakara. "SME 4.0: Machine learning framework for real-time machine health monitoring system." Journal of Physics: Conference Series 1911, no. 1 (2021): 012026. http://dx.doi.org/10.1088/1742-6596/1911/1/012026.

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Yanti, Antonia Karima, and Erwin Sitompul. "Designing and Prototyping Record System for Machine Usage Time." Journal of Electrical And Electronics Engineering 2, no. 1 (2019): 1. http://dx.doi.org/10.33021/jeee.v2i1.705.

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Machine cost is one of the components of production cost. Accurate record of machine usage time is thus crucial to obtain accurate production cost calculation. Besides, machine usage time can be used as parameter to assess the performance of the machine operator. Furthermore, the data can be used as input to the machine’s maintenance and reparation plan. The author is motivated by the current problems found at Akademi Teknik Mesin Industri (ATMI) Cikarang, where it is still possible to use one machine simultaneously by more than one operator. This causes inaccuracy in calculation of machine us
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Liu, Jia Lu, and Ai Guo Wu. "Exact Analysis of a Two Stage Production Line with Parallel Unreliable Machines." Applied Mechanics and Materials 130-134 (October 2011): 547–50. http://dx.doi.org/10.4028/www.scientific.net/amm.130-134.547.

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This paper proposes a new analytical model of manufacturing system with two parallel machine workstations. The machines in the system are non-identical unreliable machines, and the processing times, failure times and repair times of the machines are assumed to be exponentially distributed. In this paper we for the first time give an exact model of two workstation parallel machine system. Case studies show the accuracy of the proposed model.
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Tan, Kun, De An Zhao, and Jun Zhang. "The Multiple Information Management System Based on GPRS and GPS Technology." Advanced Materials Research 616-618 (December 2012): 2192–95. http://dx.doi.org/10.4028/www.scientific.net/amr.616-618.2192.

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Remote monitoring system of construction machinery equipment is of great significance to successful industrial and agricultural production. Based on the result of intelligent machine fault detection, we have succeeded in collecting remote data of machine tools, conducting the global positioning of machines and real-time recording of the fault information and wireless transmission by making use of the GPRS network technology and the GPS technology. As a result, we can realize a remote real-time monitor of machines which are paid by installments and meet the comprehensive management requirements
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Dissertations / Theses on the topic "Time machine system"

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Ng, F. "Man machine interface for real time power system simulation." Thesis, University of Bath, 1992. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.306827.

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Jun, Zhang, Feng MeiPing, Zhu Yanbo, He Bin, and Zhang Qishan. "A Real-Time Telemetry Data Processing System with Open System Architecture." International Foundation for Telemetering, 1994. http://hdl.handle.net/10150/611667.

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International Telemetering Conference Proceedings / October 17-20, 1994 / Town & Country Hotel and Conference Center, San Diego, California<br>In face of the characteristics of multiple data streams, high bit rate, variable data formats, complicated frame structure and changeable application environment, the programmable PCM telemetry system needs a new data processing system with advanced telemetry system architecture. This paper fully considers the characteristics of real-time telemetry data processing, analyzes the design of open system architecture for real-time telemetry data processing s
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Yang, Xue Jiao. "Supervisory wide-area control for multi-machine power system." Thesis, University of Manchester, 2012. https://www.research.manchester.ac.uk/portal/en/theses/supervisory-widearea-control-for-multimachine-power-system(6c0575f9-7b20-4751-9d67-276aaaa4c7b2).html.

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With the increasing demand for electrical power and the growing need for the restructuring of the power industry, electric power systems have become highly complex with inherent complicated dynamics. Therefore, the study of power system stability has continued to receive significant attention from both academic researchers and industrial practitioners. This thesis focuses on supervisory wide-area control for rotor angle stability of multi-machine power systems using Linear Quadratic Gaussian/Loop Transfer Recovery (LQG/LTR) control theory with guaranteed robustness. The supervisory controllers
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Al-Awadhi, Waleed. "Integrating machine grouping and layout by using knowledge based system approach." Thesis, Brunel University, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.242982.

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Sun, Yu. "JAVA VIRTUAL MACHINE DESIGN FOR EMBEDDED SYSTEMS: ENERGY, TIME PREDICTABILITY AND PERFORMANCE." OpenSIUC, 2010. https://opensiuc.lib.siu.edu/dissertations/186.

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Embedded systems can be found everywhere in our daily lives. Due to the great variety of embedded devices, the platform independent Java language provides a good solution for embedded system development. Java virtual machine (JVM) is the most critical component of all kinds of Java platforms. Hence, it is extremely important to study the special design of JVM for embedded systems. The key challenges of designing a successful JVM for embedded systems are energy efficiency, time predictability and performance, which are investigated in this dissertation, respectively. We first study the energy i
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Heydorn, Matthew Ryan. "Increased Cyclist Safety Using an Embedded System." BYU ScholarsArchive, 2019. https://scholarsarchive.byu.edu/etd/7391.

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In order to reduce bicycle-vehicle collisions, we design and implement a cost effectiveembedded system to warn cyclists of approaching vehicles. The system uses an Odroid C2 singleboard computer (SBC) to do vehicle and lane detection in real time using only vision. The system warns cyclist are warned of approaching cars using both a smartphone app and an LED indicator. Due to the limited performance of the Odroid C2 and other low power and low cost SBCs,we found that existing detection algorithms run either too slowly or do not have sufficient accuracy to be practical. Our solution to these li
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Ratter, Adrian. "Development of a real-time digital signal processing system for machine condition monitoring." Thesis, Robert Gordon University, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.290427.

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Rhee, Sokwoo. "Development of a Windows NT real-time operating system for NC machine control." Thesis, Massachusetts Institute of Technology, 1997. http://hdl.handle.net/1721.1/45474.

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Ghafir, Ibrahim. "A machine-learning-based system for real-time advanced persistent threat detection and prediction." Thesis, Manchester Metropolitan University, 2017. http://e-space.mmu.ac.uk/618896/.

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It is widely cited that cyber attacks have become more prevalent on a global scale. In light of this, the cybercrime industry has been established for various purposes such as political, economic and socio-cultural aims. Such attacks can be used as a harmful weapon and cyberspace is often cited as a battlefield. One of the most serious types of cyber attacks is the Advanced Persistent Threat (APT), which is a new and more complex version of multi-step attack. The main aim of the APT attack is espionage and data exfiltration, which has the potential to cause significant damage and substantial f
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Nik, Zulkepeli Nik Ahmad Akram. "Real-time unsupervised incremental support vector machine for oil and gas pipeline NDT system." Thesis, University of Nottingham, 2016. http://eprints.nottingham.ac.uk/31204/.

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Current Non Destructing Testing (NDT) techniques for oil and gas pipeline inspection are accurate and reliable but there are limited numbers of continuous monitoring technique available that can automatically make real-time decisions on the status of the pipeline. Furthermore, most of the NDT methods are deployed at predetermined interval which can last for several months. Sudden onsets of defects are undetected and lead to pipeline failure and unscheduled shutdown. A reliable inspection method is required whereby the pipelines are monitored continuously and are able to provide the operators s
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Books on the topic "Time machine system"

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Discrete-event system theory: An introduction. World Scientific, 1995.

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Elia, Alberto. Human-machine interface design for process control safety profiles for real-time ethernet-based industrial automation networks. Instrumentation, Systems, and Automation Society, 2009.

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Online, Safari Tech Books, ed. Designing and engineering time: The psychology of time perception in software. Addison-Wesley, 2008.

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Westrenen, Fulko Cornelis van. The maritime pilot at work: Evaluation and use of a time-to-boundary model of mental workload in human-machine system. Eburon, 1999.

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Bosso, Nicola. Mechatronic Modeling of Real-Time Wheel-Rail Contact. Springer Berlin Heidelberg, 2013.

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Risak, Veith. Mensch-Maschine-Schnittstelle in Echtzeitsystemen. Springer, 1986.

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Andrews, George Patrick. Stenotype text entry: Real-time computer-compatible machine shorthand for expanding careers. Stenotype Educational Products, 1992.

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Loeblein, Ritter Beverly, ed. Dictionary of briefs & phrases: Real time computer-compatible machine shorthand for expanding careers. Stenotype Educational Products, 1998.

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Chaturvedi, Alok R. A machine learning approach to the design of time invariant fragments for replication in a distributed database environment. Institute for Research in the Behavioral, Economic, and Management Sciences, Krannert Graduate School of Management, Purdue University, 1989.

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NATO Advanced Research Workshop on Real-Time Integration Methods for Mechanical System Simulation (1989 Snowbird, Utah). Real-time integration methods for mechanical system simulation. Springer-Verlag, 1991.

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Book chapters on the topic "Time machine system"

1

Fortuna, Blaž, Carolina Fortuna, and Dunja Mladenić. "Real-Time News Recommender System." In Machine Learning and Knowledge Discovery in Databases. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15939-8_38.

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Dziedziech, Kajetan, Wieslaw J. Staszewski, and T. Uhl. "Time-variant system analysis using wavelet-based transmissibility." In Advances in Mechanism and Machine Science. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-20131-9_415.

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Zhang, Deqian, Wenjiao Cheng, and Hezhi Yang. "Evaluation of Workload, Arousal, Fatigue, and Attention on Time-Series Vigilance Task." In Man-Machine-Environment System Engineering. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-2481-9_9.

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Tian, Zonghao, Peng Wang, and Tianyu He. "Fuzzy Time Series Based on K-means and Particle Swarm Optimization Algorithm." In Man-Machine-Environment System Engineering. Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-2323-1_21.

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Lu, Dongdong, and Xiangyang Zeng. "Visualization of Sound Field in Semi-closed Room Using Finite-Difference Time-Domain Method." In Man-Machine-Environment System Engineering. Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-2323-1_34.

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Wang, Duming, Qipei Han, and Yu Tian. "The Influence of Short-Time Head-Down Tilt Simulated Weightlessness on Performance of Motion Direction Judgment." In Man-Machine-Environment System Engineering. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-2481-9_49.

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Sun, Siyue, Guang Liang, and Kun Wang. "A Serial Time-Division-Multiplexing Chip-Level Space-Time Coded Multi-user MIMO System Based on Three Dimensional Complementary Codes." In Machine Learning and Intelligent Communications. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-52730-7_11.

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Wang, Fangwei, Shaojie Yang, Changguang Wang, and Qingru Li. "A Novel Intrusion Detection System for Malware Based on Time-Series Meta-learning." In Machine Learning for Cyber Security. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-62223-7_5.

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Benkhelifa, Randa, Nasria Bouhyaoui, and Fatima Zohra Laallam. "A Real-Time Aspect-Based Sentiment Analysis System of YouTube Cooking Recipes." In Machine Learning Paradigms: Theory and Application. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-02357-7_11.

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Skhosana, Menzi, Absalom E. Ezugwu, Nadim Rana, and Shafi’i M. Abdulhamid. "An Intelligent Machine Learning-Based Real-Time Public Transport System." In Computational Science and Its Applications – ICCSA 2020. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-58817-5_47.

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Conference papers on the topic "Time machine system"

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Hartwell, Peter. "CeNSE: A central nervous system for the earth." In 2011 IEEE Technology Time Machine (TTM). IEEE, 2011. http://dx.doi.org/10.1109/ttm.2011.6005162.

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Shahidi, Ghavam G. "CeNSE: A central nervous system for the earth." In 2011 IEEE Technology Time Machine (TTM). IEEE, 2011. http://dx.doi.org/10.1109/ttm.2011.6005165.

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Griffiths, Steven. "Smart Power - An energy system transformation from chip to grid." In 2012 IEEE Technology Time Machine (TTM). IEEE, 2012. http://dx.doi.org/10.1109/ttm.2012.6509065.

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Karstensen, Sven, Igor Sheviakov, Lars Frohlich, Kay Rehlich, Martin Staack, and Petr Vetrov. "Machine protection system (MPS) for the XFEL." In 2009 16th IEEE-NPSS Real Time Conference (RT). IEEE, 2009. http://dx.doi.org/10.1109/rtc.2009.5321807.

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Zhang, Guoyin, Guodong Zhao, Aihong Yao, and Ruhua Liu. "Research of Mechanism to System Scheduling Flexibility Based on Embedded Real-Time System." In 2010 International Conference on Machine Vision and Human-machine Interface. IEEE, 2010. http://dx.doi.org/10.1109/mvhi.2010.162.

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Karstensen, S., M. E. Castro Carballo, J. M. Jager, and M. Staack. "XFEL machine protection system (MPS) based on UTCA." In 2014 IEEE-NPSS Real Time Conference (RT). IEEE, 2014. http://dx.doi.org/10.1109/rtc.2014.7097407.

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Mei, Christopher, Gabe Sibley, Mark Cummins, Paul Newman, and Ian Reid. "A Constant-Time Efficient Stereo SLAM System." In British Machine Vision Conference 2009. British Machine Vision Association, 2009. http://dx.doi.org/10.5244/c.23.54.

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Etienne Cummings, Ralph. "How do we make future neurally integrated prosthetic devices speak the same language as the nervous system." In 2011 IEEE Technology Time Machine (TTM). IEEE, 2011. http://dx.doi.org/10.1109/ttm.2011.6005171.

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Hayts, G. M., and R. B. Fisher. "Evaluation of a real-time kinetic depth system." In British Machine Vision Conference 1990. British Machine Vision Association, 1990. http://dx.doi.org/10.5244/c.4.56.

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Barana, O., A. Luchetta, G. Manduchi, and C. Taliercio. "New Architecture for the RFX-mod Machine Control System." In 2007 15th IEEE-NPSS Real-Time Conference. IEEE, 2007. http://dx.doi.org/10.1109/rtc.2007.4382800.

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Reports on the topic "Time machine system"

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Jensen, E. D. Application QOS Based Time-Critical Machine-to-Machine Resource Management in BM/C2 Systems. Defense Technical Information Center, 2004. http://dx.doi.org/10.21236/ada465790.

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Gates, Allison, Michelle Gates, Shannon Sim, Sarah A. Elliott, Jennifer Pillay, and Lisa Hartling. Creating Efficiencies in the Extraction of Data From Randomized Trials: A Prospective Evaluation of a Machine Learning and Text Mining Tool. Agency for Healthcare Research and Quality (AHRQ), 2021. http://dx.doi.org/10.23970/ahrqepcmethodscreatingefficiencies.

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Background. Machine learning tools that semi-automate data extraction may create efficiencies in systematic review production. We prospectively evaluated an online machine learning and text mining tool’s ability to (a) automatically extract data elements from randomized trials, and (b) save time compared with manual extraction and verification. Methods. For 75 randomized trials published in 2017, we manually extracted and verified data for 21 unique data elements. We uploaded the randomized trials to ExaCT, an online machine learning and text mining tool, and quantified performance by evaluati
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Continuous mining machine control using the real-time control system. National Institute of Standards and Technology, 1994. http://dx.doi.org/10.6028/nist.ir.5448.

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