Relevant bibliographies by topics / Projects selection automation

Contents

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

Academic literature on the topic 'Projects selection automation'

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

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Journal articles on the topic "Projects selection automation"

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Axmann, Bernhard, Harmoko Harmoko, and Malhotra Rahul. "The Assessment of Robotic Process Automation Projects with a Portfolio Analysis." Tehnički glasnik 17, no. 2 (2023): 207–14. http://dx.doi.org/10.31803/tg-20230416193006.

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RPA’s (Robotic Process Automation) usage in organizations has rapidly increased in recent years; as a result, companies have developed high expectations from this technology. However, according to Ernst & Young (E&Y), 30-50% of observed RPA projects initially fail and reveal several risks, which lead to investment losses. Consequently, the RPA project is prematurely retired, and the company is back to the manual process. This premature retirement is mainly because of wrong process selection and the not sufficient company automation (RPA) maturity. Therefore, this paper will int
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Hansen, Seng, Alethea Suryadibrata, and Seng Hansun. "Infrastructure project selection automation using non-structural fuzzy decision support system II." Eastern-European Journal of Enterprise Technologies 1, no. 3 (121) (2023): 46–56. http://dx.doi.org/10.15587/1729-4061.2023.271822.

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In this study, we develop a web-based Decision-Making Tool (DMT) based on a four-year research project in building the proper multiple criteria Decision-Making Framework (DMF) for infrastructure project selection automation. Several challenges in selecting and prioritizing infrastructure projects include poor front-end planning, lack of project funding, improper investment, unsustainable development, regulatory barriers, and poor coordination among stakeholders. The Non-Structural Fuzzy Decision Support System II (NSFDSS-II) is chosen as the main method applied in the proposed DMF since it cou
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Seng, Hansen, Suryadibrata Alethea, and Hansun Seng. "Infrastructure project selection automation using non-structural fuzzy decision support system II." Eastern-European Journal of Enterprise Technologies 1, no. 3 (121) (2023): 46–56. https://doi.org/10.15587/1729-4061.2023.271822.

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In this study, we develop a web-based Decision-Making Tool (DMT) based on a four-year research project in building the proper multiple criteria Decision-Making Framework (DMF) for infrastructure project selection automation. Several challenges in selecting and prioritizing infrastructure projects include poor front-end planning, lack of project funding, improper investment, unsustainable development, regulatory barriers, and poor coordination among stakeholders. The Non-Structural Fuzzy Decision Support System II (NSFDSS-II) is chosen as the main method applied in the proposed DMF since it cou
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Bhargavi, S. M. Bindu, V. Suma, and R. Vijaya Arjunan. "Impact of Critical Success Factors on Productivity Gain during Automation Testing." Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications 15, no. 3 (2024): 92–108. http://dx.doi.org/10.58346/jowua.2024.i3.007.

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Software testing, a linchpin of quality assurance in software development, encompasses both manual and automation approaches. While manual testing ensures meticulous scrutiny, automation accelerates efficiency, reducing time and costs in dynamic landscape of software development. This research investigates the impact of critical success factors on productivity gain in software testing, with a focus on automation, within CMMI Level 5 companies. Drawing from a dataset comprising thirty real-time projects spanning banking, retail, and industrial applications, study explores dynamics of software d
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Yadav, Neelam, and Supriya P. Panda. "Developing standard criteria for robotic process automation candidate process selection." IAES International Journal of Artificial Intelligence (IJ-AI) 13, no. 4 (2024): 4291. http://dx.doi.org/10.11591/ijai.v13.i4.pp4291-4300.

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<p>Robotic process automation (RPA) is a cutting-edge technology that provides software robots to repeat and mimic the repeatable tasks that a human user earlier performed. The use of software robots is encouraging because of their cost efficiency and easy implementation. Selecting and prioritizing a candidate process for automation is always challenging as all the business processes in an organization are not equally suitable for RPA implementation. Various studies have highlighted several criteria found in the literature for determining, prioritising, and selecting a business process f
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Neelam, Yadav, and P. Panda Supriya. "Developing standard criteria for robotic process automation candidate process selection." IAES International Journal of Artificial Intelligence (IJ-AI) 13, no. 4 (2024): 4291–300. https://doi.org/10.11591/ijai.v13.i4.pp4291-4300.

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Robotic process automation (RPA) is a cutting-edge technology that provides software robots to repeat and mimic the repeatable tasks that a human user earlier performed. The use of software robots is encouraging because of their cost efficiency and easy implementation. Selecting and prioritizing a candidate process for automation is always challenging as all the business processes in an organization are not equally suitable for RPA implementation. Various studies have highlighted several criteria found in the literature for determining, prioritising, and selecting a business process for RPA. N
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Khattar, Kriti. "Docker Like a Pro: Essential Practices for Secure and Scalable Containers." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 02 (2025): 1–9. https://doi.org/10.55041/ijsrem41900.

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Adopting best practices in project development is crucial for ensuring security, efficiency, and sustainability. Key practices include minimizing security risks by limiting access permissions, optimizing container images for faster deployments, and automating processes to reduce manual intervention. Additionally, effective configuration management, container health checks, and seamless integration of security tools within CI/CD pipelines help maintain system reliability and code quality. By leveraging cross-account access, choosing secure base images, and automating container restarts, project
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Rulon, Peter W. "Selection criteria for laboratory robotic application personnel." Journal of Automatic Chemistry 14, no. 2 (1992): 51–53. http://dx.doi.org/10.1155/s1463924692000129.

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Norwich Eaton Pharmaceutical recognized the benefits of using automation systems in the laboratory over seven years ago and created a robotic development area within the analytical method development group. They now have eight complete robotic systems and a large number of semi-automated systems in routine operation.This level of activity has provided many challenges for the automation group. The success of this group has been very dependent on the talents of people working these assignments. You can have the best equipment and the vendor's promises of success, but it is the people who underst
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Zu, Xian Feng, Yu Qin Han, and Gong Liu. "Selection of Optimal Measure Project for Automatic Test System." Applied Mechanics and Materials 128-129 (October 2011): 994–97. http://dx.doi.org/10.4028/www.scientific.net/amm.128-129.994.

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An optimal solution of multi-objective optimization has been proposed for the measure project of automatic test system (ATS) because of the formation complexity and the factors diversity. The method is used to select the optimal measure project for ATS. First a quasi-ideal solution is defined using maximum subjection principle from fuzzy theory. Then calculate the subjection of the existing projects and get their maximum subjection under specific weight set. Finally the optimal measure project has been obtained. The signal integrity, data throughput, cost, degree of automation, volume scale an
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Baratov, Dilshod, and Elmurod Astanaliev. "Methodology for selection and efficiency of graphic software packages for technical documents." E3S Web of Conferences 402 (2023): 03018. http://dx.doi.org/10.1051/e3sconf/202340203018.

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The article describes the results of technical documentation automation projects. The effects of graphical representations of technical documentation are presented on the several levels. Performance indicators have been applied to other systems accordingly. The significant achievements of the program increase the efficiency of this system and automated technical documentation is convenient for all users. This system is more reliable, efficient, convenient and faster than others. Software indicators indicate the interdependence of numerous processes and the formation of these systems. Level coe
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Dissertations / Theses on the topic "Projects selection automation"

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Artchounin, Daniel. "Tuning of machine learning algorithms for automatic bug assignment." Thesis, Linköpings universitet, Programvara och system, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-139230.

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In software development projects, bug triage consists mainly of assigning bug reports to software developers or teams (depending on the project). The partial or total automation of this task would have a positive economic impact on many software projects. This thesis introduces a systematic four-step method to find some of the best configurations of several machine learning algorithms intending to solve the automatic bug assignment problem. These four steps are respectively used to select a combination of pre-processing techniques, a bug report representation, a potential feature selection tec
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Books on the topic "Projects selection automation"

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Associates, Merilees. System selection project: Final report. s.n., 1988.

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Office, General Accounting. Postal service: Estimating the cost of construction projects : briefing report to the chairman, Subcommittee on Federal Services, Post Office and Civil Service, Committee on Governmental Affairs, U.S. Senate. The Office, 1989.

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Kovalenko, Vladimir. Design of information systems. INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/987869.

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The tutorial discusses the design features of information systems (is) involved in the implementation of CALS technologies: MRP/MRPII/ERP systems, e-Commerce systems (B2B), supply chain management (SCM), customer relationship management (CRM), and decision support systems (OLAP). The issues of choosing the design technology, software tools for project development, building functional and information models in the environment of Business Studio, MS Visio, Elma, AllFusion Modeling Suite and Oracle Designer 10g, as well as the development of technical and operational documentation are highlighted
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Crespo Miguel, Mario. Automatic corpus-based translation of a spanish framenet medical glossary. 2020th ed. Editorial Universidad de Sevilla, 2020. http://dx.doi.org/10.12795/9788447230051.

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Computational linguistics is the scientific study of language from a computational perspective. It aims is to provide computational models of natural language processing (NLP) and incorporate them into practical applications such as speech synthesis, speech recognition, automatic translation and many others where automatic processing of language is required. The use of good linguistic resources is crucial for the development of computational linguistics systems. Real world applications need resources which systematize the way linguistic information is structured in a certain language. There is
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DIACOMET. A Charter for Fundamental Digital Rights [Eine Charta für digitale Grundrechte, 2024. https://doi.org/10.7220/20.500.12259/274167.

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Research within the DIACOMET study shows that there is a plethora of ethical codes and similar documents with a focus on different aspects of public communication in Europe and beyond. However, their background and scope vary considerably. Consequently, it has so far been difficult to obtain an overview of the available documents. The DIACOMET database aims to correct this deficiency. It is the first publicly accessible database for which various international and national codes of ethics for all types of public communication have been collected and made available to interested stakeholders. I
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Book chapters on the topic "Projects selection automation"

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Marques, Filipe, António Morgado, José Fragoso Santos, and Mikoláš Janota. "TestSelector: Automatic Test Suite Selection for Student Projects." In Runtime Verification. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-17196-3_17.

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Kolsara, Rizvanova. "Application of TOPSIS Method for Project Proposal Selection." In 12th World Conference “Intelligent System for Industrial Automation” (WCIS-2022). Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-51521-7_43.

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Schäffer, Eike, Philipp Gönnheimer, Daniel Kupzik, et al. "Web-Based Platform for Planning and Configuration of Robot-Based Automation Solutions: A Retrospective View on the Research Project ROBOTOP." In Annals of Scientific Society for Assembly, Handling and Industrial Robotics 2021. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-74032-0_32.

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AbstractAutomation solutions in production represent a sensible and long-term cost-effective alternative to manual work, especially for physically strenuous or dangerous activities. However, especially for small companies, automation solutions are associated with a considerable initial complexity and a high effort in planning and implementation. The ROBOTOP project, a consortium of industrial companies and research institutes has therefore developed a flexible web platform for the simplified, modular planning and configuration of robot-based automation solutions for frequent tasks. In this pap
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Shihata, Aya Ali, Mohamed Anwar Fekry, and Wessam Hamdy Abbas. "Implementation of Building Information Modeling (BIM) for Economic Sustainable Construction Minimizing Material Waste in Terms of Value Engineering." In CONVR 2023 - Proceedings of the 23rd International Conference on Construction Applications of Virtual Reality. Firenze University Press, 2023. http://dx.doi.org/10.36253/10.36253/979-12-215-0289-3.103.

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The construction industry consumes a large amount of raw materials and produces large amounts of carbon dioxide emissions. However, studies have shown that philosophies alone are not efficient in solving problems in the construction industry. They must be supported by new tools and methodologies. Therefore, this study aimed to achieve a more sustainable building field by integrating BIM technology and value engineering principles in the management of building materials. to achieve the highest possible consumption of environmental resources and materials through value engineering. The methodolo
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Shihata, Aya Ali, Mohamed Anwar Fekry, and Wessam Hamdy Abbas. "Implementation of Building Information Modeling (BIM) for Economic Sustainable Construction Minimizing Material Waste in Terms of Value Engineering." In CONVR 2023 - Proceedings of the 23rd International Conference on Construction Applications of Virtual Reality. Firenze University Press, 2023. http://dx.doi.org/10.36253/979-12-215-0289-3.103.

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The construction industry consumes a large amount of raw materials and produces large amounts of carbon dioxide emissions. However, studies have shown that philosophies alone are not efficient in solving problems in the construction industry. They must be supported by new tools and methodologies. Therefore, this study aimed to achieve a more sustainable building field by integrating BIM technology and value engineering principles in the management of building materials. to achieve the highest possible consumption of environmental resources and materials through value engineering. The methodolo
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Skulimowski, Andrzej M. J. "Visions of a Future Research Workplace Arising from Recent Foresight Exercises." In Progress in IS. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-66262-2_11.

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AbstractThe results of recent foresight projects reveal the impact of future ICT tools on the practice of scientific research. This paper presents several aspects of the process of building scenarios and trends of selected advanced ICT technologies. We point out the implications of emerging global expert systems (GESs) and AI-based learning platforms (AILPs). GESs will be capable of using and processing global knowledge from all available sources, such as databases, repositories, video streams, interactions with other researchers and knowledge processing units. In many scientific disciplines,
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Han, Xiao, Cheng-Hsuan Yang, Yuxiang Chen, and Alejandra Hernandez Sanchez. "A Robotic Method to Insert Batt Insulation into Light-Frame Wood Wall for Panel Prefabrications." In CONVR 2023 - Proceedings of the 23rd International Conference on Construction Applications of Virtual Reality. Firenze University Press, 2023. http://dx.doi.org/10.36253/10.36253/979-12-215-0289-3.58.

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Currently, industrial robot arms are trending in prefabricated building construction; however, a notable gap exists in established automated processes and related research specifically for the insertion of batt thermal insulation. The current method for accomplishing this task relies on manual insertion, which is labour-intensive for the workers and poses long-term health and safety concerns. This research presents an ongoing research project aimed at developing a feasible robotic process for the automated insertion of batt thermal insulation into prefabricated light-frame wood wall frames. Th
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Han, Xiao, Cheng-Hsuan Yang, Yuxiang Chen, and Alejandra Hernandez Sanchez. "A Robotic Method to Insert Batt Insulation into Light-Frame Wood Wall for Panel Prefabrications." In CONVR 2023 - Proceedings of the 23rd International Conference on Construction Applications of Virtual Reality. Firenze University Press, 2023. http://dx.doi.org/10.36253/979-12-215-0289-3.58.

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Currently, industrial robot arms are trending in prefabricated building construction; however, a notable gap exists in established automated processes and related research specifically for the insertion of batt thermal insulation. The current method for accomplishing this task relies on manual insertion, which is labour-intensive for the workers and poses long-term health and safety concerns. This research presents an ongoing research project aimed at developing a feasible robotic process for the automated insertion of batt thermal insulation into prefabricated light-frame wood wall frames. Th
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Hofmann, Adrian, Tobias Prätori, Franz Seubert, Jonas Wanner, Marcus Fischer, and Axel Winkelmann. "4 Process selection for RPA projects." In Robotic Process Automation. De Gruyter, 2021. http://dx.doi.org/10.1515/9783110676693-004.

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Norgall Thomas and Wichert Reiner. "Personalized Use of ICT – From Telemonitoring to Ambient Assisted Living." In Studies in Health Technology and Informatics. IOS Press, 2013. https://doi.org/10.3233/978-1-61499-256-1-145.

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Individual availability of information and communications technology (ICT) has enabled “Personal Health” applications like the continuous ubiquitous telemonitoring of vital signs. The concept of Ambient Assisted Living (AAL) goes beyond health and care applications utilizing home automation technology for supporting individuals with specific needs, particularly enabling elderly to live in their accustomed home as long as possible. These users usually suffer from more than one disease and need compensation of several impairments. Most current AAL projects and products howeve
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Conference papers on the topic "Projects selection automation"

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Rogers, Michael E., Ian Verhappen, and Stephen Porter. "Justification and Engineering Design for the On-Line Monitoring and Automation of a Congruent Phosphate/pH Program." In CORROSION 1992. NACE International, 1992. https://doi.org/10.5006/c1992-92413.

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Abstract Failures of convection tubes in two of Syncrude’s three hydrogen plants were traced to difficulties in carryover of boiler water into the steam and difficulties associated with controlling manually all the variables in a congruent phosphate pH program. To overcome this unacceptable situation, the introduction and use of a number of on-line analyzers was recommended. This paper examines the technical justification for using each analyzer, the actual engineering design that was required for their installation and the financial returns for carrying out the project. At the time of writing
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Moselhi, O., and Z. Popic. "Multi-Tiered Project Delivery Systems Selection for Capital Projects." In 30th International Symposium on Automation and Robotics in Construction and Mining; Held in conjunction with the 23rd World Mining Congress. International Association for Automation and Robotics in Construction (IAARC), 2013. http://dx.doi.org/10.22260/isarc2013/0051.

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Zhou, Kun, Hao Deng, and Zejie Huang. "A Novel Distribution Network Projects Selection Method." In 2023 IEEE International Conference on Electrical, Automation and Computer Engineering (ICEACE). IEEE, 2023. http://dx.doi.org/10.1109/iceace60673.2023.10441960.

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Yadav, Neelam, and Supriya P. Panda. "A Path Forward for Automation in Robotic Process Automation Projects: Potential Process Selection Strategies." In 2022 International Conference on Machine Learning, Big Data, Cloud and Parallel Computing (COM-IT-CON). IEEE, 2022. http://dx.doi.org/10.1109/com-it-con54601.2022.9850739.

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Gang, Bao, and Pavel Vitliemov. "How to select projects and allocate funds to obtain the total maximum profit for facing many different investment projects in the production strategy management plan of discrete production enterprise." In International Scientific and Technical Conference Automation of Discrete Production Engineering ADP 2025. Az-buki National Publishing House, 2025. https://doi.org/10.53656/adpe-2025.18.

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The market is developing rapidly, and the choice of production investment projects presents diversity and complexity. Manufacturing enterprises not only need to select high-profit target products (multiple target products) suitable for their own production but also need to reasonably allocate limited resources to ultimately obtain the maximum total income of all investment projects. Therefore, manufacturing enterprises are faced with many challenges when selecting production investment projects and allocating limited resources. In the process of selection and allocation, enterprises need to co
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Araya, Nahur M. Melendez, Jose Gallardo Arancibia, and Nahur J. Melendez Castillo. "Tool for the selection of software development methodologies for small projects and small equipment." In 2022 IEEE International Conference on Automation/XXV Congress of the Chilean Association of Automatic Control (ICA-ACCA). IEEE, 2022. http://dx.doi.org/10.1109/ica-acca56767.2022.10006153.

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Han, SangHyeok, Shafiul Hasan, Zhen Lei, Mohammed Sadiq Altaf, and Mohamed Al-Hussein. "A Framework for Crane Selection in Large-Scale Industrial Construction Projects." In 30th International Symposium on Automation and Robotics in Construction and Mining; Held in conjunction with the 23rd World Mining Congress. International Association for Automation and Robotics in Construction (IAARC), 2013. http://dx.doi.org/10.22260/isarc2013/0042.

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Danmei, Zhu, Wang Xingtong, and Ren Rongrong. "A Heuristics R and D Projects Portfolio Selection Decision System Based on Data Mining and Fuzzy Logic." In 2010 International Conference on Intelligent Computation Technology and Automation (ICICTA). IEEE, 2010. http://dx.doi.org/10.1109/icicta.2010.257.

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Rossomahin, V. "AI-POWERED BUSINESS PROCESS AUTOMATION (BPA) SOLUTIONS DEVELOPMENT." In Digital transformation in the economy of the transport complex. INFRA-M Academic Publishing LLC., 2025. https://doi.org/10.12737/conferencearticle_678a0d29b52f93.16328567.

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The article discusses the development of AI solutions as a tool for increasing the efficiency and competitiveness of a company, covers in detail the role of AI in business process automation, reveals the capabilities of artificial intelligence for various aspects of business and analyzes the factors affecting the successful implementation of AI projects. The author emphasizes that the development of AI solutions requires an integrated approach that covers: a clear definition of business goals and automation objectives; the selection of suitable AI technologies taking into account the specifics
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Al Abry, M., B. Al Mahrouqi, S. Al Farsi, S. Al Busaidi, Y. Al Hosni, and H. Al Shabibi. "Automation and Standardization to Accelerate Well Delivery and Resource Allocation, in a Complex Field Development." In International Petroleum Technology Conference. IPTC, 2024. http://dx.doi.org/10.2523/iptc-24159-ea.

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Abstract The development of oil fields are becoming more complex and more challenging as the industry moving away from easy oil, the pursuit of efficiency, reliability, and consistency has become paramount. One strategy that organizations often employ to achieve these goals, especially in complex oil fields development, is automation and standardization of repetitive process. Automation refers to the utilization of technology and software systems to perform tasks and processes with minimal human intervention, improving work quality and Standardization, on the other hand, is the process of esta
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Reports on the topic "Projects selection automation"

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Harris, Patel, and Vaze. PR-185-0351-R07 Welding Processes for Small to Medium Diameter Pipe - Productivity and Economic Analysis. Pipeline Research Council International, Inc. (PRCI), 2006. http://dx.doi.org/10.55274/r0011066.

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The project aimed to develop innovative welding processes and technologies for single-sided pipeline girth welding. Root pass welding techniques were emphasized since they have the greatest potential to improve pipeline integrity and facilitate the use of new and existing gas metal arc welding (GMAW) fill pass techniques. Advanced automation techniques were also used to improve weld quality, process control, and robustness. The objective of Task 7 was to examine the competing productivity and economic factors involved in selecting the appropriate technology for a particular pipeline project.
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Zhao, George, Grang Mei, Bulent Ayhan, Chiman Kwan, and Venu Varma. DTRS57-04-C-10053 Wave Electromagnetic Acoustic Transducer for ILI of Pipelines. Pipeline Research Council International, Inc. (PRCI), 2005. http://dx.doi.org/10.55274/r0012049.

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In this project, Intelligent Automation, Incorporated (IAI) and Oak Ridge National Lab (ORNL) propose a novel and integrated approach to inspect the mechanical dents and metal loss in pipelines. It combines the state-of-the-art SH wave Electromagnetic Acoustic Transducer (EMAT) technique, through detailed numerical modeling, data collection instrumentation, and advanced signal processing and pattern classifications, to detect and characterize mechanical defects in the underground pipeline transportation infrastructures. The technique has four components: (1) thorough guided wave modal analysis
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Burks, Thomas F., Victor Alchanatis, and Warren Dixon. Enhancement of Sensing Technologies for Selective Tree Fruit Identification and Targeting in Robotic Harvesting Systems. United States Department of Agriculture, 2009. http://dx.doi.org/10.32747/2009.7591739.bard.

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The proposed project aims to enhance tree fruit identification and targeting for robotic harvesting through the selection of appropriate sensor technology, sensor fusion, and visual servo-control approaches. These technologies will be applicable for apple, orange and grapefruit harvest, although specific sensor wavelengths may vary. The primary challenges are fruit occlusion, light variability, peel color variation with maturity, range to target, and computational requirements of image processing algorithms. There are four major development tasks in original three-year proposed study. First, s
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Searcy, Stephen W., and Kalman Peleg. Adaptive Sorting of Fresh Produce. United States Department of Agriculture, 1993. http://dx.doi.org/10.32747/1993.7568747.bard.

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This project includes two main parts: Development of a “Selective Wavelength Imaging Sensor” and an “Adaptive Classifiery System” for adaptive imaging and sorting of agricultural products respectively. Three different technologies were investigated for building a selectable wavelength imaging sensor: diffraction gratings, tunable filters and linear variable filters. Each technology was analyzed and evaluated as the basis for implementing the adaptive sensor. Acousto optic tunable filters were found to be most suitable for the selective wavelength imaging sensor. Consequently, a selectable wave
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