Relevant bibliographies by topics / Industrial automation techniques

Contents

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

Academic literature on the topic 'Industrial automation techniques'

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

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Journal articles on the topic "Industrial automation techniques"

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Mursa, Bogdan-Eduard-Mădălin, Mátyás Kuti-Kreszács, Cristiana Moroz-Dubenco, and Florentin Bota. "Facilitating Model Training With Automated Techniques." Studia Universitatis Babeș-Bolyai Informatica 68, no. 2 (2023): 53–68. http://dx.doi.org/10.24193/subbi.2023.2.04.

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Automating artificial intelligence (AI) model training has emerged as a significant challenge in the field of automation. The complete pipeline from raw data to model deployment poses the need to define robust processes that ensure the efficiency of the services that expose the models. This paper introduces a generic architecture for automating data preparation, training of models, selection of models, and deployment of models as web services for third-party consumption using Microsoft Azure Machine Learning’s (AzureML) CI/CD tools. We conducted a practical experiment utilizing AzureML pipelin
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Ayadi, Rami, Rasha M. Abd El-Aziz, Ahmed I. Taloba, Hanan Aljuaid, Nadir O. Hamed, and Moaiad A. Khder. "Deep Learning–Based Soft Sensors for Improving the Flexibility for Automation of Industry." Wireless Communications and Mobile Computing 2022 (April 11, 2022): 1–10. http://dx.doi.org/10.1155/2022/5450473.

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Automation in industries offers the benefits of enhancing quality and productivity while minimizing waste and errors, raising safety and adds stability to the production process. Industrial automation offers high profitability, reliability, and safety. It is beneficial to employ machine learning in the field of industrial automation as it helps in monitoring and performing maintenance on industrial machinery. Rational industrial development is closely associated with efforts for automating industrial techniques in all existing ways. Latest improvements in the automation of industrial systems r
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Ciucias, Michał, Waldemar Nowakowski, and Daniel Pietruszczak. "Safety of industrial automation systems." AUTOBUSY – Technika, Eksploatacja, Systemy Transportowe 24, no. 6 (2019): 50–55. http://dx.doi.org/10.24136/atest.2019.124.

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In order to minimize the risks associated with the automation of industrial processes, it is necessary to unify standards of safety assessment. The aim of this article is the comparative analysis of safe-ty assessment methods of industrial automation systems. Authors presented two techniques of ensuring safety based on risk analysis, i.e. Performance Level (PL) and Safety Integrity Level (SIL) in relation to the applicable standards and regulations.
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Ceng, Saeful Ramdan. "Optimalisasi SDM Melalui Penerapan Pendidikan Otomasi Industri dan Robotika di SMK." Madani: Jurnal Ilmiah Multidisiplin 1, no. 4 (2023): 158–70. https://doi.org/10.5281/zenodo.7951427.

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<em>Industrial</em> <em>Automation engineering education at SMK aims to improve the quality of human resources in the field of technology. This study aims to analyze the process of optimizing human resources through industrial automation and robotics training at SMK. The method used is a survey by distributing questionnaires to students at SMKN 4 Bandung. The results of this study indicate that industrial automation and robotics training in secondary vocational schools plays an important role in the development of quality human resources. Apart from equipping students with high technical skill
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Violeta-Elena Ștefănescu and Gabriel-Marius Dumitru. "Techniques for reconditioning an industrial part." Technium: Romanian Journal of Applied Sciences and Technology 2, no. 3 (2020): 87–92. http://dx.doi.org/10.47577/technium.v2i3.572.

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The paper wants to show that by means of new techniques any piece can be reconditioned, the costs being much reduced. Among the advantages can be recalled: allows the reconditioning of parts that have a lot of workmanship; material economy; low cost; repairs are performed that cannot be done by other procedures; the equipment used for welding is simple, cheap, with great possibility of diversification; welding is easily suitable for machining and automation.&#x0D; &#x0D;
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Williamson, Sheldon, and K. Vijayakumar. "Artificial intelligence techniques for industrial automation and smart systems." Concurrent Engineering 29, no. 3 (2021): 291–92. http://dx.doi.org/10.1177/1063293x211026275.

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Kotti, Jayasri. "Industrial Automation with Safety Aspects using Machine Learning Techniques." Safety in Extreme Environments 2, no. 2 (2020): 183–88. http://dx.doi.org/10.1007/s42797-020-00020-y.

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Dharne, Deepak Mohan. "Multi Class Multi Output Auto ML Model for Two Axis Precision Gantry." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 06 (2025): 1–9. https://doi.org/10.55041/ijsrem50075.

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Abstract - The accurate prediction of design parameters in a 2-axis gantry system is crucial for optimizing performance, efficiency, and reliability. A 2-axis pick-and-place gantry is widely used in industrial automation for precise material handling, assembly, and packaging applications. It consists of linear actuators that enable movement along the X and Y axes, ensuring fast and accurate positioning. This study leverages AutoGluon Tabular AutoML, an advanced automated machine learning framework, to enhance predictive modeling for gantry design data. By integrating multiple machine learning
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Devi, Jyothsna. "Advances and Applications in Electrical Industrial Automation: A Comprehensive Review." International Journal of Automation, Artificial Intelligence and Machine Learning 5, no. 1 (2025): 29–36. https://doi.org/10.61797/ijaaiml.v5i1.423.

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Electrical industrial automation has emerged as one of the key driving forces behind the transformation of modern manufacturing processes. Over the past few decades, automation technologies have significantly enhanced productivity, efficiency, and safety in various industries. This paper provides a comprehensive review of the advancements in electrical industrial automation, including the latest technologies, techniques, and systems used in the automation of industrial processes. We explore the role of smart sensors, Programmable Logic Controllers (PLCs), robotics, and communication protocols
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Harding, David, David Bradford, and Gavin Brown. "Transferring Industrial Automation Technology to the Laboratory." JALA: Journal of the Association for Laboratory Automation 7, no. 2 (2002): 84–88. http://dx.doi.org/10.1016/s1535-5535-04-00189-3.

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Over the past few years, there has been much discussion about transferring industrial technology to laboratories. While it is easy to look at the superficial similarities, it is more important to examine the different requirements of different industries. In this way, it is possible to identify the technologies and techniques that can be successfully transferred to the laboratory to improve performance. This paper takes three very different industries — the bakery, High Throughput Screening (HTS) and mobile phone assembly and examines their different requirements. These industries have been se
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Dissertations / Theses on the topic "Industrial automation techniques"

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Körner, Steffen. "A structured approach to identification techniques for the analysis of industrial processes." Thesis, University of South Wales, 1999. https://pure.southwales.ac.uk/en/studentthesis/a-structured-approach-to-identification-techniques-for-the-analysis-of-industrial-processes(5a5a8c62-2222-4476-86cd-7811effb3d70).html.

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Currently process industry faces a paradoxical situation. On the one hand there is the urgent need to optimise the performance of processes by increasing throughput, decreasing operating costs while increasing the product quality. On the other hand there are only few specialists in industry who are able to develop and apply appropriate control strategies for the increasingly complex processes in the process industry. Generally, these specialists work in research and development departments necessitating a considerable amount of time to develop sophisticated solutions for specific processes. Ho
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Schinner, Charles Edward 1957. "Electronic manufacturing test cell automation and configuration using AI techniques." Thesis, The University of Arizona, 1990. http://hdl.handle.net/10150/278327.

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This thesis utilizes artificial intelligence techniques and problem specific knowledge to assist in the design of an manufacturing test cell for electronic products. The electronic printed circuit board (PCB) is subjected to one or more functional evaluation(s) during the manufacturing process. The purpose of these evaluations is to assure product quality. This thesis is focused on, with historical knowledge, the configuration of this testing environment and associated fault isolation processes. By using such knowledge, an improvement in the testing efficiency will be realized which will allow
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Barbosa, José. "Use of bio-inspired techniques to solve complex engineering problems: industrial automation case study." Master's thesis, Instituto Politécnico de Bragança, Escola Superior de Tecnologia e Gestão, 2010. http://hdl.handle.net/10198/2852.

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Nowadays local markets have disappeared and the world lives in a global economy. Due to this reality, every company virtually competes with all others companies in the world. In addition to this, markets constantly search products with higher quality at lower costs, with high customization. Also, products tend to have a shorter period of life, making the demanding more intense. With this scenario, companies, to remain competitive, must constantly adapt themselves to the market changes, i.e., companies must exhibit a great degree of self-organization and self-adaptation. Biology with the milli
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GIACOMELLI, MARCO. "Advanced Control Techniques for Industrial Mechatronic Systems." Doctoral thesis, Università degli studi di Brescia, 2020. http://hdl.handle.net/11379/544090.

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FORESI, GABRIELE. "Computational Intelligence Techniques for Energy Management in Industrial and Residential Systems." Doctoral thesis, Università Politecnica delle Marche, 2020. http://hdl.handle.net/11566/274515.

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Nell’era della digitalizzazione, l’Energy Management (EM) è diventato uno degli argomenti più importanti in sia in ambito industriale che residenziali. L’importanza di risolvere e migliorare alcuni compiti in questa era porta alla necessità di applicare alcuni metodi di intelligenza computazionale (CI) e di intelligenza artificiale (AI). Gli obiettivi e i contributi di questa tesi sono legati all’EM in i) sistemi industriali (con riferimento all’Industria 4.0) agendo sulla progettazione del sistema di controllo e ii) sistemi residenziali dando all’utente un ruolo attivo in uno scenario di
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Léger, Aurélie. "Contribution à la formalisation unifiée des connaissances fonctionnelles et organisationnelles d'un système industriel en vue d'une évaluation quantitative des risques et de l'impact des barrières envisagées." Phd thesis, Université Henri Poincaré - Nancy I, 2009. http://tel.archives-ouvertes.fr/tel-00417164.

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Depuis la révolution industrielle, l'Homme développe des systèmes industriels pour satisfaire ses exigences de production. Mais exploiter ces installations n'est pas sans risques pour les utilisateurs. De ce fait, l'analyse des risques s'est largement développée durant ces dernières décennies. En effet, si dans les années 70, les études se focalisaient sur les défaillances technologiques, des accidents ont souligné l'importance des facteurs humains et organisationnels dans leur occurrence. Si bien que dans les années 80, des méthodes consacrées à l'identification de ces facteurs ont émergées.
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Papaïx, Benoît. "Outiller la conception centrée utilisateur en milieu industriel complexe : des techniques de traitement automatique de textes pour la conception des cockpits." Thesis, Bordeaux 2, 2011. http://www.theses.fr/2011BOR21899/document.

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Dans le milieu aéronautique professionnel (un des secteurs professionnels les plus sûr au monde), la gestion des conséquences des erreurs humaines doit être améliorée pour garantir une sécurité maximum. Pour ce faire, il est nécessaire de mettre en place des techniques de conception centrées sur l’utilisateur. Cependant, la mise en place de ces techniques est rendue difficile par les particularités des systèmes sociotechniques complexes (la certification, la complexité des systèmes conçus, le nombre de personnes impliquées…). Notre étude a pour but de développer et de valider des outils d’aide
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Gress, Hubert. "Automatisation de processus industriels appliquee a un atelier de gravure pour thermometres medicaux. Projet de machine speciale gravaumate." Université Louis Pasteur (Strasbourg) (1971-2008), 1986. http://www.theses.fr/1986STR13222.

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Le projet gravaumate realise l'automatisation integrale d'un atelier de gravure pour thermometres medicaux. Ce niveau d'automatisation exige la possibilite de pouvoir, entre autres, detecter le niveau de mercure au sein du capillaire prismatique (0,04 mm) et ce par une methode autre que la prise de vue par camera ccd associee a un traitement d'image. Un procede inedit induisant par influence haute tension haute frequence une forte electroluminescence au niveau de l'extremite superieure de la colonne de mercure, autorise la detection precise de celle-ci a l'aide d'un montage incluant fentes fin
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Naud, Mickaël. "Contribution au développement d'outils d'aide à la conception assistée par la réalité virtuelle et augmentée : Application au domaine du textile/habillement." Phd thesis, Université d'Angers, 2008. http://tel.archives-ouvertes.fr/tel-00451947.

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La génération de motifs esthétiques assistée par ordinateur est un domaine prometteur pour la conception de vêtements (personnalisation de masse, etc.). Dans ce contexte, les techniques de réalité virtuelle (RV) et de réalité mixte (RM) sont très pertinentes pour la visualisation de vêtements sur lesquels sont appliqués les motifs générés. Ces techniques offrent aussi de nouvelles opportunités pour l'interaction 3D avec les mannequins virtuels en situation statique ou dynamique (défilé virtuel). La contribution du travail présenté dans ce mémoire est multiple et implique trois étapes complémen
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Vacher, Blandine. "Techniques d'optimisation appliquées au pilotage de la solution GTP X-PTS pour la préparation de commandes intégrant un ASRS." Thesis, Compiègne, 2020. http://www.theses.fr/2020COMP2566.

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Les travaux présentés dans ce document portent sur des problèmes d'optimisation dans le domaine de la logistique interne des entrepôts. Le domaine est soumis à une forte concurrence et est en plein essor, poussé par les besoins croissants du marché et favorisé par l'automatisation. L'entreprise SAVOYE construit des équipements et propose sa propre solution GTP (Goods-To-Person) pour la préparation de commandes. La solution utilise un système de stockage automatisé appelé X-Picking Tray System (X-PTS) et achemine les charges automatiquement à des postes de travail via des carrousels pour effect
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Books on the topic "Industrial automation techniques"

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Sobh, Tarek, Khaled Elleithy, Ausif Mahmood, and Mohammed Karim, eds. Innovative Algorithms and Techniques in Automation, Industrial Electronics and Telecommunications. Springer Netherlands, 2007. http://dx.doi.org/10.1007/978-1-4020-6266-7.

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Sobh, Tarek, Khaled Elleithy, Ausif Mahmood, and Mohammad A. Karim, eds. Novel Algorithms and Techniques In Telecommunications, Automation and Industrial Electronics. Springer Netherlands, 2008. http://dx.doi.org/10.1007/978-1-4020-8737-0.

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Sobh, Tarek M. Novel Algorithms and Techniques In Telecommunications, Automation and Industrial Electronics. Springer Science+Business Media B.V., 2008.

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Xiaoqi, Chen, Devanathan R, and Fong Aik Meng, eds. Advanced automation techniques in adaptive material processing. World Scientific, 2002.

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T, Leondes Cornelius, ed. Mechatronic systems, techniques and applications. Gordon and Breach, 2000.

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Felix, Redmill, and Anderson Tom 1947-, eds. Safety-critical systems: Current issues, techniques, and standards. Chapman & Hall, 1993.

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Shah, Tahir Rabbani. Automatic reconstruction of industrial installations using point clouds and images. Nederlandse Commissie voor Geodesie, 2006.

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A, Maidique Modesto, and Wheelwright Steven C. 1943-, eds. Strategic management of technology and innovation. 3rd ed. McGraw-Hill/Irwin, 2001.

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Vatalaro, James C. Implementing a mixed model Kanban system: The lean replenishment technique for pull production. Productivity Press, 2003.

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Ding, Steven X. Model-Based Fault Diagnosis Techniques: Design Schemes, Algorithms and Tools. 2nd ed. Springer London, 2013.

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Book chapters on the topic "Industrial automation techniques"

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Rathore, Saurabh Singh, Varun Sharma, Faiz Iqbal, Dilshad Ahmad Khan, Zafar Alam, and Navneet Arora. "Process automation for abrasive-based precision-finishing techniques." In Nanofinishing of Materials for Advanced Industrial Applications. CRC Press, 2024. http://dx.doi.org/10.1201/9781003496298-9.

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Chandrakanth, K., Udaya Bhasker Manthati, and C. R. Arunkumar. "Cell Balancing Techniques for Hybrid Energy Storage System in Load Support Applications." In Intelligent Control, Robotics, and Industrial Automation. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-4634-1_49.

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Satapathy, Santosh Kumar, Hari Kishan Kondaveeti, and Debabrata Swain. "A Systematic Review on Latest Approaches of Automated Sleep Staging System Using Machine Intelligence Techniques." In Intelligent Control, Robotics, and Industrial Automation. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-4634-1_77.

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Uribarri, Batzi, Lara González, Begoña Laibarra, and Oscar Lazaro. "Tools and Techniques for Digital Automation Solutions Certification." In The Digital Shopfloor- Industrial Automation in the Industry 4.0 Era. River Publishers, 2022. http://dx.doi.org/10.1201/9781003339717-17.

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Leyendecker, Lars, Shobhit Agarwal, Thorben Werner, Maximilian Motz, and Robert H. Schmitt. "A Study on Data Augmentation Techniques for Visual Defect Detection in Manufacturing." In Bildverarbeitung in der Automation. Springer Berlin Heidelberg, 2023. http://dx.doi.org/10.1007/978-3-662-66769-9_6.

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AbstractDeep learning-based defect detection is rapidly gaining importance for automating visual quality control tasks in industrial applications. However, due to usually low rejection rates in manufacturing processes, industrial defect detection datasets are inherent to three severe data challenges: data sparsity, data imbalance, and data shift. Because the acquisition of defect data is highly cost″​=intensive, and Deep Learning (DL) algorithms require a sufficiently large amount of data, we are investigating how to solve these challenges using data oversampling and data augmentation (DA) tec
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Bazydło, Piotr, Michał Urbański, Marcin Kamiński, and Roman Szewczyk. "Influence of the Environment on Operation of Checkweigher in Industrial Conditions." In Recent Advances in Automation, Robotics and Measuring Techniques. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-05353-0_53.

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Luo, Hao. "Basics of Process Monitoring Techniques." In Plug-and-Play Monitoring and Performance Optimization for Industrial Automation Processes. Springer Fachmedien Wiesbaden, 2016. http://dx.doi.org/10.1007/978-3-658-15928-3_2.

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Trybus, Leszek, Zbigniew Świder, and Andrzej Stec. "Relay Self-tuning of Industrial PID Temperature Controller with Set-Point Weighting." In Recent Advances in Automation, Robotics and Measuring Techniques. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-05353-0_29.

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Pandey, Jay Kumar, Vivek Veeraiah, M. Ranjith Kumar, et al. "Emerging Soft Computing and Machine Learning Techniques Applicable in Industrial and Automated Applications." In Robotics and Automation in Industry 4.0. CRC Press, 2023. http://dx.doi.org/10.1201/9781003317456-4.

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Chang, Liyuan. "Application of Internet of Things Technology in Industrial Automation Control." In Data Processing Techniques and Applications for Cyber-Physical Systems (DPTA 2019). Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-1468-5_181.

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Conference papers on the topic "Industrial automation techniques"

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Krishna, Juttuka Vamsi, P. Navin Karanth, and KR Guruprasad. "Path Generation Techniques for Multi-Direction and Nonplanar Additive Manufacturing with an Industrial Robot." In 2024 2nd International Conference on Recent Trends in Microelectronics, Automation, Computing and Communications Systems (ICMACC). IEEE, 2024. https://doi.org/10.1109/icmacc62921.2024.10894119.

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San, Lee Wei, Samuel-Soma M. Ajibade, Muhammed Basheer Jasser, Adefemi Ayodele, Babatunde Adedotun Ajayi, and Mbiatke Anthony Bassey. "A Literature Review of Machine Learning Techniques for Dance Recognition and Robotic Vision." In 2025 IEEE International Conference on Robotics and Technologies for Industrial Automation (ROBOTHIA). IEEE, 2025. https://doi.org/10.1109/robothia63806.2025.10986414.

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Harshitha Reddy, G. Anjana, Amal Hasan Jumaa, Huda Hayder Abbas, Rajesh Reddy, Dinesh Srikar, and Vinayasree Bavireddi. "Unveiling Clarity in Hazy Images using the Dark Channel Prior Algorithm and Advanced Enhancement Techniques." In 2024 International Conference on Augmented Reality, Intelligent Systems, and Industrial Automation (ARIIA). IEEE, 2024. https://doi.org/10.1109/ariia63345.2024.11051978.

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NGUYEN, Quang–Duy, Saadia DHOUIB, Eric LUCET, Antoine Le MORTELLEC, and Fabien BALIGAND. "Bridging the Gap between IT and OT with AAS Digital Twins and MDE Techniques: An Industrial Waste Management Case Study." In 2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation (ETFA). IEEE, 2024. http://dx.doi.org/10.1109/etfa61755.2024.10711103.

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Raponi, Antonello, and Zoltan Nagy. "CompArt: Next-Generation Compartmental Models for Complex Systems Powered by Artificial Intelligence." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.186609.

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Compartmental models are widely used to simplify the analysis of complex fluid dynamics systems, yet subjective compartment definitions and computational constraints often limit their applicability. The CompArt algorithm introduces an AI-driven framework that automates compartmentalization in Computational Fluid Dynamics (CFD) simulations, optimizing both accuracy and efficiency. By leveraging unsupervised clustering techniques such as Agglomerative Clustering, CompArt identifies coherent flow regions based on velocity and turbulent kinetic energy dissipation rate, ensuring a data-driven, phys
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Dall'Ora, Nicola, Stefano Centomo, and Franco Fummi. "Industrial-IoT Data Analysis Exploiting Electronic Design Automation Techniques." In 2019 IEEE 8th International Workshop on Advances in Sensors and Interfaces (IWASI). IEEE, 2019. http://dx.doi.org/10.1109/iwasi.2019.8791344.

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Aydal, Emine Gokce, and Jim Woodcock. "Automation of Model-Based Testing through Model Transformations." In 2009 Testing: Academic and Industrial Conference - Practice and Research Techniques. IEEE, 2009. http://dx.doi.org/10.1109/taicpart.2009.10.

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Muhlbacher, Clemens, Stephan Gspandl, Michael Reip, and Gerald Steinbauer. "Improving dependability of industrial transport robots using model-based techniques." In 2016 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2016. http://dx.doi.org/10.1109/icra.2016.7487480.

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Batchelor, Bruce G., A. David Marshall, and Ralph R. Martin. "Qualitative and quantitative techniques for 3D shape inspection of industrial artifacts." In Optical Tools for Manufacturing and Advanced Automation, edited by Bruce G. Batchelor, Susan Snell Solomon, and Frederick M. Waltz. SPIE, 1993. http://dx.doi.org/10.1117/12.150298.

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Hollerer, Siegfried, Marta Chabrova, Thilo Sauter, and Wolfgang Kastner. "Combined Modeling Techniques for Safety and Security in Industrial Automation: A Case Study." In 2022 15th International Conference on Security of Information and Networks (SIN). IEEE, 2022. http://dx.doi.org/10.1109/sin56466.2022.9970541.

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Reports on the topic "Industrial automation techniques"

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Marsden, Eric, and Véronique Steyer. Artificial intelligence and safety management: an overview of key challenges. Foundation for an Industrial Safety Culture, 2025. https://doi.org/10.57071/iae290.

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Artificial intelligence based on deep learning, along with big data analysis, has in recent years been the subject of rapid scientific and technological advances. These technologies are increasingly being integrated into various work environments with the aim of enhancing performance and productivity. This dimension of the digital transformation of businesses and regulatory authorities presents both significant opportunities and potential risks for industrial safety management practices. While there are numerous expected benefits, such as the ability to process large volumes of reliability dat
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Pasupuleti, Murali Krishna. Securing AI-driven Infrastructure: Advanced Cybersecurity Frameworks for Cloud and Edge Computing Environments. National Education Services, 2025. https://doi.org/10.62311/nesx/rrv225.

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Abstract: The rapid adoption of artificial intelligence (AI) in cloud and edge computing environments has transformed industries by enabling large-scale automation, real-time analytics, and intelligent decision-making. However, the increasing reliance on AI-powered infrastructures introduces significant cybersecurity challenges, including adversarial attacks, data privacy risks, and vulnerabilities in AI model supply chains. This research explores advanced cybersecurity frameworks tailored to protect AI-driven cloud and edge computing environments. It investigates AI-specific security threats,
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