Relevant bibliographies by topics / Intelligent production

Contents

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

Academic literature on the topic 'Intelligent production'

Author: Grafiati
Published: 5 June 2025
Last updated: 2 August 2025

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Journal articles on the topic "Intelligent production"

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Teige, Christian, Alexander Fertig, Berend Denkena, Benjamin Bergmann, and Matthias Weigold. "Intelligente Vernetzung für die Fräsbearbeitung/Intelligent networking for milling processes." wt Werkstattstechnik online 111, no. 01-02 (2021): 14–19. http://dx.doi.org/10.37544/1436-4980-2021-01-02-18.

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Im Forschungsprojekt „TensorMill“ wird die Umsetzung einer intelligent vernetzten autonomen Fertigung von sicherheitsrelevanten Bauteilen in der Luftfahrtindustrie angestrebt. Dabei soll mithilfe von Künstlicher Intelligenz (KI) auf möglichst viele Situationen im Fertigungsprozess reagiert werden. Dies dient dem Ziel, die Produktivität und Prozesssicherheit bei der Herstellung der sicherheitsrelevanten Integralbauteile zu erhöhen.   The „TensorMill“ research project aims to implement an intelligently networked autonomous production of safety-relevant components in the aviation industr
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Krajcovic, Martin, Patrik Grznar, Miroslav Fusko, and Radovan Skokan. "Intelligent Logistics for Intelligent Production Systems." Communications - Scientific letters of the University of Zilina 20, no. 4 (2018): 16–23. http://dx.doi.org/10.26552/com.c.2018.4.16-23.

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The main topic of the submitted paper is intelligent logistics and its integration into production systems. In the beginning, the problem that lies in the inadequate knowledge of the internal state has been defined. The new society-wide trends that will originate in a few years are also outlined. Those trends will affect factories and their logistics systems on a large scale. Therefore, it is necessary to have a strategy that takes these new trends into consideration. In this manuscript, is described a strategy for intelligent production systems, as well as technologies for different types of
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Zhao, Dongcai, and Jiawen Qiu. "One Production Mode of Intelligent Manufacturing." International Journal of Materials, Mechanics and Manufacturing 6, no. 4 (2018): 303–7. http://dx.doi.org/10.18178/ijmmm.2018.6.4.396.

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Arinichev, I. V., V. A. Sidorov, and I. V. Arinicheva. "Superfrontiers of Crop Production: Artificial Intelligence in Formation the Grain Production Ecosystem." BIO Web of Conferences 108 (2024): 06002. http://dx.doi.org/10.1051/bioconf/202410806002.

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The paper presents a study dedicated to analyzing the role of crop production superfrontiers in forming the agricultural production ecosystem, with a focus on the grain sector. Special attention is given to the superfrontier - data intelligence analytics as an effective tool for optimizing grain production. The authors consider specific examples of successful integration of intelligent analytical methods into practice, identifying their positive impact on improving production efficiency, including cost reduction and business process management enhancement. Among the main barriers to the implem
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Kochan, D. "Intelligent production systems." Computers in Industry 28, no. 1 (1995): 1. http://dx.doi.org/10.1016/0166-3615(95)00031-5.

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Wang, Xi. "Design of Customized Intelligent Manufacturing Information Interaction System Based on Virtual Technology." Journal of Physics: Conference Series 2074, no. 1 (2021): 012043. http://dx.doi.org/10.1088/1742-6596/2074/1/012043.

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Abstract With the continuous development of information technology, system intelligence is leading the next round of “industrial revolution”, especially the intelligent manufacturing industry has become the core of improving industrial productivity. Intelligent manufacturing involves each link in the manufacturing industry, which is the most critical part of intelligent manufacturing is intelligent production, through intelligent manufacturing related technology to optimize the production mode of manufacturing to promote the production state more flexible and integrated. Intelligent manufactur
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Su, Yifan, and Guanghua Xu. "The Influencing Mechanism of Intelligent Production on Carbon Emission Efficiency of Equipment Manufacturing Industry in China." Processes 13, no. 4 (2025): 1102. https://doi.org/10.3390/pr13041102.

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Intelligent production has changed the traditional mode of production. However, how to achieve an improvement in carbon emission efficiency via intelligent production needs to be further explored. This study focuses on the mechanism of how production intelligence affects the equipment manufacturing sector’s carbon emission efficiency. Using data from 247 businesses in the equipment manufacturing sector between 2015 and 2021, this study applies fixed-effects models and statistical analysis methods to explore the correlation between production intelligence and the equipment manufacturing sector’
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Ninomiya, Yuichi. "Intelligent Visual Media. Intelligent Program Production Systems." Journal of the Institute of Television Engineers of Japan 47, no. 1 (1993): 35–39. http://dx.doi.org/10.3169/itej1978.47.35.

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Zhou, Dongdong, Ke Xu, Zhimin Lv, et al. "Intelligent Manufacturing Technology in the Steel Industry of China: A Review." Sensors 22, no. 21 (2022): 8194. http://dx.doi.org/10.3390/s22218194.

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Intelligent manufacturing, defined as the integration of manufacturing with modern information technologies such as 5G, digitalization, networking, and intelligence, has grown in popularity as a means of boosting the productivity, intelligence, and flexibility of traditional manufacturing processes. The steel industry is a necessary support for modern life and economic development, and the Chinese steel industry’s capacity has expanded to roughly half of global production. However, the Chinese steel industry is now confronted with high labor costs, massive carbon emissions, a low level of inte
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Zou, Guobin, Junwu Zhou, Tao Song, Jiawei Yang, and Kang Li. "Hierarchical Intelligent Control Method for Mineral Particle Size Based on Machine Learning." Minerals 13, no. 9 (2023): 1143. http://dx.doi.org/10.3390/min13091143.

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Mineral particle size is an important parameter in the mineral beneficiation process. In industrial processes, the grinding process produces pulp with qualified particle size for subsequent flotation processes. In this paper, a hierarchical intelligent control method for mineral particle size based on machine learning is proposed. In the machine learning layer, artificial intelligence technologies such as long and short memory neural networks (LSTM) and convolution neural networks (CNN) are used to solve the multi-source ore blending prediction and intelligent classification of dry and rainy s
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Dissertations / Theses on the topic "Intelligent production"

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Khazaeni, Yasaman. "Intelligent time-successive production modeling." Morgantown, W. Va. : [West Virginia University Libraries], 2009. http://hdl.handle.net/10450/10672.

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Thesis (M.S.)--West Virginia University, 2009.<br>Title from document title page. Document formatted into pages; contains ix, 83 p. : ill. (some col.). Includes abstract. Includes bibliographical references (p. 81-83).
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Sun, Jun. "Development of an intelligent production scheduling system." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape4/PQDD_0016/MQ49690.pdf.

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Romeo, Marco. "Automated processes and intelligent tools in CG media production." Doctoral thesis, Universitat Pompeu Fabra, 2016. http://hdl.handle.net/10803/373915.

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La producció moderna dels mitjans descansa de forma important sobre continguts generats per ordinador, tals com animacions 3D, i efectes visuals digitals. Aquests actius complexos poblen videojocs, pel•lícules, televisió, dispositius mòbils i internet, però crear-los encara és una feina complexa, que requereix molta intervenció humana, té un flux de treball complex i no estàndard, procliu als errors, i demana un esforç important. Aquesta tesi contribueix en dues àrees de contingut generat per ordinador: la investigació inicial es dirigeix a l’automatització de “rigging”, de l’expressió faci
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Hatoum, Karim P. W. "Experimental investigation of intelligent search methods for job scheduling." Diss., Georgia Institute of Technology, 1994. http://hdl.handle.net/1853/30063.

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Schlechter, E. J. (Emile Johan). "Manufacturing intelligence : a dissemination of intelligent manufacturing principles with specific application." Thesis, Stellenbosch : Stellenbosch University, 2002. http://hdl.handle.net/10019.1/52927.

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Thesis (MEng)--University of Stellenbosch, 2002.<br>ENGLISH ABSTRACT: Artificial intelligence has provided several techniques with applications in manufacturing. Knowledge based systems, neural networks, case based reasoning, genetic algorithms and fuzzy logic have been successfully employed in manufacturing. This thesis will provide the reader with an introduction and an understanding of each of these techniques (Chapter 2 & 3). The intelligent manufacturing process can be a complex one and can be decomposed into several components: intelligent design, intelligent process planning, inte
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Dascanio, John Lewis II. "The development of an integrated intelligent design environment." Thesis, Georgia Institute of Technology, 1989. http://hdl.handle.net/1853/17784.

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Deigmoeller, Joerg. "Intelligent image cropping and scaling." Thesis, Brunel University, 2011. http://bura.brunel.ac.uk/handle/2438/4745.

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Nowadays, there exist a huge number of end devices with different screen properties for watching television content, which is either broadcasted or transmitted over the internet. To allow best viewing conditions on each of these devices, different image formats have to be provided by the broadcaster. Producing content for every single format is, however, not applicable by the broadcaster as it is much too laborious and costly. The most obvious solution for providing multiple image formats is to produce one high resolution format and prepare formats of lower resolution from this. One possibilit
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Kang, Shugang. "Multi-agent based beam search for intelligent production planning and scheduling." Click to view the E-thesis via HKUTO, 2007. http://sunzi.lib.hku.hk/hkuto/record/B38977205.

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Zhang, Yaoen Lan. "An integrated intelligent shop control system." Thesis, Virginia Polytechnic Institute and State University, 1989. http://hdl.handle.net/10919/52095.

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Presently there is a trend in manufacturing system design from stand-alone, automatic operations to Computer Integrated Manufacturing (CIM). The success of the integration depends largely on the performance of system control software. This document presents research in the design and implementation of a shop control system, for a CIM facility, using a new method called the three-layer integrated approach. Two basic techniques used in this research are expert systems and object-oriented programming. The CIM system at VPI is an automated manufacturing and assembly system. In designing the contr
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Kang, Shugang, and 康書剛. "Multi-agent based beam search for intelligent production planning and scheduling." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2007. http://hub.hku.hk/bib/B38977205.

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Books on the topic "Intelligent production"

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International, Conference on Production/Precision Engineering (7th 1994 Chiba-shi Japan). Advancement of intelligent production. Elsevier Science, 1994.

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Chatterjee, Anjan Kumar. Intelligent and Sustainable Cement Production. CRC Press, 2021. http://dx.doi.org/10.1201/9781003106791.

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Smirnov, Alexander, Hervé Panetto, and Kurosh Madani, eds. Innovative Intelligent Industrial Production and Logistics. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-37228-5.

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Terzi, Sergio, Kurosh Madani, Oleg Gusikhin, and Hervé Panetto, eds. Innovative Intelligent Industrial Production and Logistics. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-49339-3.

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Dassisti, Michele, Kurosh Madani, and Hervé Panetto, eds. Innovative Intelligent Industrial Production and Logistics. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-80760-2.

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Dassisti, Michele, Kurosh Madani, and Hervé Panetto, eds. Innovative Intelligent Industrial Production and Logistics. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-80775-6.

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E, Brown Donald, and Scherer William T, eds. Intelligent scheduling systems. Kluwer Academic Publishers, 1995.

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Burduk, Anna, Edward Chlebus, Tomasz Nowakowski, and Agnieszka Tubis, eds. Intelligent Systems in Production Engineering and Maintenance. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-97490-3.

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Huang, Chin-Yin, Rob Dekkers, Shun Fung Chiu, Daniela Popescu, and Luis Quezada, eds. Intelligent and Transformative Production in Pandemic Times. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-18641-7.

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Navinchandra. Intelligent use of constraints for activity scheduling. US Army Corps of Engineers, Construction Engineering Research Laboratory, 1986.

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Book chapters on the topic "Intelligent production"

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Joshi, Sanjay, and Richard Wysk. "Intelligent Control of Flexible Manufacturing Systems." In Modern Production Concepts. Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-76401-1_27.

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Sommaruga, Lorenzo, and Nadia Catenazzi. "The Intelligent Web." In Digital Factory for Human-oriented Production Systems. Springer London, 2011. http://dx.doi.org/10.1007/978-1-84996-172-1_9.

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Temelkova, Miglena. "A Concept for Restructuring the Production Systems into Cyber-Physical Production Systems." In Intelligent Sustainable Systems. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-7660-5_70.

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Smid, Karlo, Igor S. Pandzic, and Viktorija Radman. "Intelligent Content Production for a Virtual Speaker." In Intelligent Media Technology for Communicative Intelligence. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11558637_17.

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Cheung, E. H. M., K. B. Chuah, and X. N. Li. "Intelligent evaluation in FMS simulation." In Computer Applications in Production Engineering. Springer US, 1995. http://dx.doi.org/10.1007/978-0-387-34879-7_74.

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Weck, Manfred, Walter Eversheim, Wilfried König, and Tilo Pfeifer. "Production reliability and quality through “Intelligent Technologies”." In Production Engineering. Elsevier, 1991. http://dx.doi.org/10.1016/b978-0-7506-1262-3.50008-3.

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de Silva, Clarence W. "Intelligent Restructuring of Production Systems." In Intelligent Control. CRC Press, 2018. http://dx.doi.org/10.1201/9780203750513-9.

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Askari-Nasab, H., S. Frimpong, and K. Awuah-Offei. "Intelligent optimal production scheduling estimator." In Application of Computers and Operations Research in the Mineral Industry. Taylor & Francis, 2005. http://dx.doi.org/10.1201/9781439833407.ch36.

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Chacn, Edgar, Juan Cardillo, Rafael Chacn, and Germn Daro. "Online Production Scheduling and Re-Scheduling in Autonomous, Intelligent Distributed Environments." In Production Scheduling. InTech, 2012. http://dx.doi.org/10.5772/25933.

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"Inside Front Cover." In Advancement of Intelligent Production. Elsevier, 1994. http://dx.doi.org/10.1016/b978-0-444-81901-7.50001-3.

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Conference papers on the topic "Intelligent production"

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Enikeeva, Elza R., and Eugeny V. Ryumin. "Intelligent Production Well Control System." In 2024 International Ural Conference on Electrical Power Engineering (UralCon). IEEE, 2024. http://dx.doi.org/10.1109/uralcon62137.2024.10719007.

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Alcantara, Carlos Boduar, Luisa Jorge, and Clara Bento Vaz. "Sustainably enhancing olive oil production: intelligent system architecture." In 2025 24th International Symposium INFOTEH-JAHORINA (INFOTEH). IEEE, 2025. https://doi.org/10.1109/infoteh64129.2025.10959202.

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Evdokimova, Svetlana. "FEATURES OF INTELLIGENT SUPPORT FOR AUTOMATION OF PRODUCTION PROCESSES." In MODERN ISSUES OF AUTOMATION, ROBOTICS AND MANAGEMENT IN TECHNICAL, ORGANIZATIONAL, ECONOMIC SYSTEMS. FSBE Institution of Higher Education Voronezh State University of Forestry and Technologies named after G.F. Morozov, 2024. http://dx.doi.org/10.58168/robotics2024_47-53.

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The article examines the hierarchical structure of building information and control systems for production automation, which ensures the integration of intelligent technologies and industry. Internet of things, artificial intelligence, computer vision, robotics and other technologies are used for intelligent support for automation of production processes.
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Hajizadeh, Yasin. "Intelligent prediction of reservoir fluid viscosity." In Production and Operations Symposium. Society of Petroleum Engineers, 2007. http://dx.doi.org/10.2118/106764-ms.

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Sun, Yu, Kai Wu, and Chunping Cao. "Study on Forging Intelligent Production System for an Automotive Component." In ASME 2016 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/imece2016-66242.

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Crankshafts, connecting rods, gears and forks are basic components made by the forging machine. According to statistics data, more than 60% of the automotive components in weight are produced by forging, more than 80% of which are manufactured by hot forging. With the development of the automobile industry and the increase of market competition, the forging production of automotive components is becoming more complex, sophisticated and efficient. Moreover, in order to reduce the labor costs and improve the efficiency, flexibility, automation and intelligence of the forging equipment and proces
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Al-Sulaiti, Ahmad, Hamad Al-Baker, and Mirza Shoaib Beg. "Moving Towards Intelligent Oilfields." In SPE International Production and Operations Conference & Exhibition. Society of Petroleum Engineers, 2012. http://dx.doi.org/10.2118/156117-ms.

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Pallasch, Christoph, Nicolai Hoffmann, Simon Storms, and Werner Herfs. "ProducTron: Towards Flexible Distributed and Networked Production." In 2018 IEEE 22nd International Conference on Intelligent Engineering Systems (INES). IEEE, 2018. http://dx.doi.org/10.1109/ines.2018.8523995.

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Khazaeni, Yasaman, and Shahab D. Mohaghegh. "Intelligent Time-Successive Production Modeling." In SPE Western Regional Meeting. Society of Petroleum Engineers, 2010. http://dx.doi.org/10.2118/132643-ms.

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Emerick, Alexandre Anoze, and Ricardo Cunha Mattos Portella. "Production Optimization With Intelligent Wells." In Latin American & Caribbean Petroleum Engineering Conference. Society of Petroleum Engineers, 2007. http://dx.doi.org/10.2118/107261-ms.

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Pacheco Paladini, E. "Intelligent processes for production control." In Proceedings of the Second International Conference on Intelligent Processing and Manufacturing of Materials. IPMM'99 (Cat. No.99EX296). IEEE, 1999. http://dx.doi.org/10.1109/ipmm.1999.792468.

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Reports on the topic "Intelligent production"

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Elson, David K., and Mark O. Riedl. A Lightweight Intelligent Virtual Cinematography System for Machinima Production. Defense Technical Information Center, 2007. http://dx.doi.org/10.21236/ada464770.

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Fox, M. S., and S. F. Smith. The Role of Intelligent Reactive Processing in Production Management. Defense Technical Information Center, 1985. http://dx.doi.org/10.21236/ada160128.

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Mazari, Mehran, Siavash F. Aval, Siddharth M. Satani, David Corona, and Joshua Garrido. Developing Guidelines for Assessing the Effectiveness of Intelligent Compaction Technology. Mineta Transportation Institute, 2021. http://dx.doi.org/10.31979/mti.2021.1923.

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Many factors affect pavement compaction quality, which can vary. Such variability may result in an additional number of passes required, extended working hours, higher energy consumption, and negative environmental impacts. The use of Intelligent Compaction (IC) technology during construction can improve the quality and longevity of pavement structures while reducing risk for contractors and project owners alike. This study develops guidelines for the implementation of IC in the compaction of pavement layers as well as performing a preliminary life-cycle cost analysis (LCCA) of IC technology c
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Short, Samuel. Alternatives to single-use plastics in food packaging and production. Food Standards Agency, 2023. http://dx.doi.org/10.46756/sci.fsa.taf512.

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This rapid evidence assessment undertaken by RSM UK Consulting LLP (RSM) and Dr Samuel Short (University of Cambridge) aimed to develop an understanding of the alternatives to single-use plastics in food packaging and production in terms of their risks and opportunities, as well as potential future developments. Literature from within and beyond the UK was gathered from academic databases and reports published by government and non-governmental organisations such as environmental charities. Evidence from the literature was supplemented by findings from a workshop with experts in the field from
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McLean, Marsha B., and Beverly G. Knapp. Modeling Intelligence Production Performance. Defense Technical Information Center, 1999. http://dx.doi.org/10.21236/ada370517.

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Thompson, John, David Burnstein, Theodore Fichtl, and Betty Landee- Thompson. Implementation Guide for Assessing Intelligence Production Effectiveness. Defense Technical Information Center, 1990. http://dx.doi.org/10.21236/ada229870.

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Davis, Wayne J., and Albert T. Jones. Artificial intelligence techniques in real-time production scheduling. National Institute of Standards and Technology, 1989. http://dx.doi.org/10.6028/nist.ir.88-3891.

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Tsidylo, Ivan M., Serhiy O. Semerikov, Tetiana I. Gargula, Hanna V. Solonetska, Yaroslav P. Zamora, and Andrey V. Pikilnyak. Simulation of intellectual system for evaluation of multilevel test tasks on the basis of fuzzy logic. CEUR Workshop Proceedings, 2021. http://dx.doi.org/10.31812/123456789/4370.

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The article describes the stages of modeling an intelligent system for evaluating multilevel test tasks based on fuzzy logic in the MATLAB application package, namely the Fuzzy Logic Toolbox. The analysis of existing approaches to fuzzy assessment of test methods, their advantages and disadvantages is given. The considered methods for assessing students are presented in the general case by two methods: using fuzzy sets and corresponding membership functions; fuzzy estimation method and generalized fuzzy estimation method. In the present work, the Sugeno production model is used as the closest
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Ndoye, Aïssatou, Khadim Dia, and Racine Ly. AAgWa Crop Production Forecasts Brief Series - Issue N.03. AKADEMIYA2063, 2023. http://dx.doi.org/10.54067/acpf.03.

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Brief 3 presents forecasts on millet production levels in Côte d’Ivoire based on AKADEMIYA2063’s Africa Crop Production (AfCP) model. The AfCP is an artificial intelligence (AI) based forecasting model applied to remotely sensed bio-geophysical data to produce estimates of crop production for nine crops in 47 African countries before the harvesting period. Thus, millet production statistics in Côte d’Ivoire are presented in this brief.
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Dumas, Nathalie, Flourentzou Flourentzos, Julien BOUTILLIER, Bernard Paule, and Tristan de KERCHOVE d’EXAERDE. Integration of smart building technologies costs and CO2 emissions within the framework of the new EPIQR-web application. Department of the Built Environment, 2023. http://dx.doi.org/10.54337/aau541616188.

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The EPIQR method was developed between 1996 and 1998 within the framework of the European research programme JOULE II and with the support of the Swiss Federal Office for Education and Science. In its first versions, the EPIQR software and EPIQR+ that succeeded it, were desktop tools, allowing a precise diagnosis of the state of deterioration of an existing building and the elaboration of renovation scenarios including the different costs of the necessary works. However, deep refurbishment rate is still low. Climatic emergency state declared by most of the Swiss Cantons makes it necessary to s
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