Relevant bibliographies by topics / Smart self

Contents

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

Academic literature on the topic 'Smart self'

Author: Grafiati
Published: 7 September 2021
Last updated: 29 July 2025

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Journal articles on the topic "Smart self"

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Chou, Wushow "Bill." "Self-Smart, Part II: Career Smart." IT Professional 11, no. 5 (2009): 44–47. http://dx.doi.org/10.1109/mitp.2009.106.

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Chou, Wushow "Bill." "Self-Smart, Part I: Work Smart." IT Professional 11, no. 4 (2009): 60–62. http://dx.doi.org/10.1109/mitp.2009.83.

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Yadav, Shubham. "Smart Self Recovery." International Journal for Research in Applied Science and Engineering Technology 7, no. 4 (2019): 532–38. http://dx.doi.org/10.22214/ijraset.2019.4097.

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Kordts, Börge, Bennet Gerlach, and Andreas Schrader. "Self-Organizing and Self-Explaining Pervasive Environments by Connecting Smart Objects and Applications." Technologies 10, no. 1 (2022): 15. http://dx.doi.org/10.3390/technologies10010015.

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In the past decade, pervasive environments have progressed from promising research concepts to available products present in our everyday lives. By connecting multiple smart objects, device ensembles can be formed to assist users in performing tasks. Furthermore, smart objects can be used to control applications, that, in turn, can be used to control other smart objects. As manual configuration is often time-consuming, an automatic connection of the components may present a useful tool, which should take various aspects into account. While dynamically connecting these components allows for sol
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Unni, Aparna Beena. "Smart Medical Self-diagnostic Tools." International Journal of Current Research and Review 13, no. 08 (2021): 02–03. http://dx.doi.org/10.31782/ijcrr.2021.13835.

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Shirmohammadi, Babak, and Camillo J. Taylor. "Self-localizing smart camera networks." ACM Transactions on Sensor Networks 8, no. 2 (2012): 1–24. http://dx.doi.org/10.1145/2140522.2140524.

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Shi, Mayue, Jinxin Zhang, Haotian Chen, et al. "Self-Powered Analogue Smart Skin." ACS Nano 10, no. 4 (2016): 4083–91. http://dx.doi.org/10.1021/acsnano.5b07074.

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Andreeva, Daria V., and Dmitry G. Shchukin. "Smart self-repairing protective coatings." Materials Today 11, no. 10 (2008): 24–30. http://dx.doi.org/10.1016/s1369-7021(08)70204-9.

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BAUM, RUDY. "'Smart' catalyst selfassembles, self-repairs." Chemical & Engineering News 73, no. 5 (1995): 7. http://dx.doi.org/10.1021/cen-v073n005.p007.

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Torres, Joaquin, Antonio Izquierdo, Jose M. Sierra, and Arturo Ribagorda. "Towards self-authenticable smart cards." Computer Communications 29, no. 15 (2006): 2781–87. http://dx.doi.org/10.1016/j.comcom.2005.10.029.

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Dissertations / Theses on the topic "Smart self"

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Dalkic, Yurdaer, and Hadi Deknache. "A Self-policing Smart Parking Solution." Thesis, Malmö universitet, Fakulteten för teknik och samhälle (TS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-20898.

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With the exponential growth of vehicles on our streets, the need for finding an unoccupied parking spot today could most of the time be problematic, but even more in the coming future. Smart parking solutions have proved to be a helpful approach to facilitate the localization of unoccupied parking spots. In many smart parking solutions, sensors are used to determine the vacancy of a parking spot. The use of sensors can provide a highly accurate solution in terms of determining the status of parking lots. However, this is not ideal from a scalability point of view, since the need for installing
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Yang, Janice Ching-Yi. "Self-validating sensors." Thesis, University of Oxford, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.336611.

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Cameron, Calum Duncan. "Self-organising smart grid architectures for cyber-security." Thesis, University of Newcastle upon Tyne, 2017. http://hdl.handle.net/10443/3799.

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Current conventional power systems consist of large-scale centralised generation and unidirectional power flow from generation to demand. This vision for power system design is being challenged by the need to satisfy the energy trilemma, as the system is required to be sustainable, available and secure. Emerging technologies are restructuring the power system; the addition of distributed generation, energy storage and active participation of customers are changing the roles and requirements of the distribution network. Increased controllability and monitoring requirements combined with an incr
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Alsop, Peter. "The self-validating process actuator." Thesis, University of Oxford, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.308676.

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Pilpré, Arnaud. "Self-* properties of multi sensing entities in smart environments." Thesis, Massachusetts Institute of Technology, 2005. http://hdl.handle.net/1721.1/32509.

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Thesis (S.M.)--Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2005.<br>Includes bibliographical references (p. 78-87).<br>Computers and sensors are more and more often embedded into everyday objects, woven into garments, "painted" on architecture or deployed directly into the environment. They monitor the environment, process the information and extract knowledge that their designed and programmers hope will be interesting. As the number and variety of these sensors and their connections increase, so does the complexity of the ne
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Chung, Howard Jenn Yee. "Towards a Self-Powered Structural Health Monitoring Smart Tire." Thesis, Virginia Tech, 2016. http://hdl.handle.net/10919/71375.

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This work investigates the feasibility of developing a self-powered structural health monitoring (SHM) smart tire using piezoelectric materials. While this work is divided into two components: SHM and energy harvesting, the context of smart tire in this work is defined as the development of a SHM system that (i) has self-powering capabilities, and (ii) addresses the potential of embedding sensors. The use of impedance based SHM on a tire is severely limited due to the low stiffness and high damping characteristics of the tire. This work propose the use of a high voltage impedance analyzer, and
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Liu, Mengmeng. "Self-assembled Photo-responsive Nanostructures for Smart Materials Applications." The Ohio State University, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=osu1494160345663184.

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Zeni, Dario. "Cell Sheet Engineering: smart polymers and self-assembled monolayers." Doctoral thesis, Università degli studi di Trento, 2010. https://hdl.handle.net/11572/368716.

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Cell-based therapies have a relatively long tradition in modern medicine. Since the 70s surgeons tried to treat malignant and non-malignant disease with direct injection of bone marrow cells. Other cell-based therapies have been proposed after these initial achievements, but it was only in the late eighties that a new concept of therapy, based on cells, has been organically developed. In that years, R. Langer, J. and C. Vacanti proposed the combined use of cells and materials (i.e., scaffolds) to repair tissues and organs, so overcoming the several problems associated with the use of transplan
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Zeni, Dario. "Cell Sheet Engineering: smart polymers and self-assembled monolayers." Doctoral thesis, University of Trento, 2010. http://eprints-phd.biblio.unitn.it/607/1/PhD_Thesis_-_Dario_Zeni.pdf.

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Cell-based therapies have a relatively long tradition in modern medicine. Since the 70s surgeons tried to treat malignant and non-malignant disease with direct injection of bone marrow cells. Other cell-based therapies have been proposed after these initial achievements, but it was only in the late eighties that a new concept of therapy, based on cells, has been organically developed. In that years, R. Langer, J. and C. Vacanti proposed the combined use of cells and materials (i.e., scaffolds) to repair tissues and organs, so overcoming the several problems associated with the use of transplan
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Kumpfer, Justin Richard. "Utilizing Metallosupramolecular Polymers as Smart Materials." Case Western Reserve University School of Graduate Studies / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=case1333553702.

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Books on the topic "Smart self"

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Singh, Simar Preet, Arun Solanki, Anju Sharma, Zdzislaw Polkowski, and Rajesh Kumar. Smart Computing and Self-Adaptive Systems. CRC Press, 2021. http://dx.doi.org/10.1201/9781003156123.

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Nadler, Gerald. Smart Questions. John Wiley & Sons, Ltd., 2004.

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Steve, Master. SELF نقشه راه خودشناسی: Smart Self Evaluation Life Roadmap Formula. Silk Road Publishing, 2020.

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Restak, Richard M. Think Smart. Penguin USA, Inc., 2009.

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Mokhtari, Fatemeh. Self-Powered Smart Fabrics for Wearable Technologies. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-06481-4.

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Stern, Linda. Money-smart secrets for the self-employed. Random House, 1997.

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Gault, Teri. Shop Smart, Save More. HarperCollins, 2008.

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Gascoigne, Bradley. Smart ways to stay young and healthy. Ronin Pub., 1992.

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Books, Agreka, ed. Smart & simple self-publishing & 80-20 marketing strategies. Agreka Books, 2001.

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ill, Hausherr Rosmarie, ed. Smart moves: A kid's guide to self-defense. Simon & Schuster Books for Young Readers, 1995.

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Book chapters on the topic "Smart self"

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Samui, Asit Baran. "Self-Healing Polymers." In Smart Polymers. CRC Press, 2022. http://dx.doi.org/10.1201/9781003037880-6.

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Kannan, B., A. Azhagu Jaisudhan Pazhani, P. Gunasekaran, and A. Rameshbabu. "Smart Sensor Systems." In Self-Powered AIoT Systems. Apple Academic Press, 2024. http://dx.doi.org/10.1201/9781032684000-1.

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Ventrella, Jeffrey. "Self Portraits with Mandelbrot Genetics." In Smart Graphics. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13544-6_29.

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Pflugfelder, Roman, and Branislav Mičušík. "Self-Calibrating Cameras in Video Surveillance." In Smart Cameras. Springer US, 2009. http://dx.doi.org/10.1007/978-1-4419-0953-4_9.

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Duarah, Rituparna, Jayaramudu Jarugala, and Emmanuel Rotimi Sadiku. "Advances in self-healing composites." In Sustainable Smart Composites. CRC Press, 2025. https://doi.org/10.1201/9781003527275-10.

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Ehrenmueller-Jensen, Markus. "Adding Smart Visualizations." In Self-Service AI with Power BI Desktop. Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-6231-3_5.

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Vassilakis, Costas, Vassilis Poulopoulos, Angeliki Antoniou, Manolis Wallace, George Lepouras, and Martin Lopez Nores. "exhiSTORY: Smart Self-organizing Exhibits." In Computer Communications and Networks. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-38836-2_5.

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Laffoy, Barry, Saraansh Dave, and Mahesh Sooriyabandara. "Automated Trading for Smart Grids: Can It Work?" In Self-Organizing Systems. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-54140-7_1.

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Farshchi, Negin. "Containers for Self-healing/Self-repairing Polymers." In Micro- and Nano-containers for Smart Applications. Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-8146-2_9.

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Subramanian, Venkatavijayan, and Dharmesh Varade. "Self-healed Materials from Thermoplastic Polymer Composites." In Smart Polymer Nanocomposites. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-50424-7_6.

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Conference papers on the topic "Smart self"

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Mounica, B., G. Akshitha Goud, G. Vinaychary, and Shaik Sadiq. "Smart Health Consulting System." In 2025 3rd International Conference on Self Sustainable Artificial Intelligence Systems (ICSSAS). IEEE, 2025. https://doi.org/10.1109/icssas66150.2025.11081361.

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Pavitha, N., R. M. Savithramma, B. P. Ashwini, Amruta Mankawade, Yojana Naik, and Yashashree Bedmutha. "Intelligent Predictive Maintenance for Smart Building Systems." In 2024 2nd International Conference on Self Sustainable Artificial Intelligence Systems (ICSSAS). IEEE, 2024. https://doi.org/10.1109/icssas64001.2024.10760900.

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Tamim, Shariar Kabir, Kamrul Islam Shohail, and Sadik Salihin Ahmed. "Highly Efficient Self-Charging Smart Electric Bike." In 2024 IEEE International Conference on Power, Electrical, Electronics and Industrial Applications (PEEIACON). IEEE, 2024. https://doi.org/10.1109/peeiacon63629.2024.10800688.

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Galpin, Vashti. "Modelling Residential Smart Energy Schemes." In 2014 IEEE Conference on Self-Adaptive and Self-Organizing Systems Workshops (SASOW). IEEE, 2014. http://dx.doi.org/10.1109/sasow.2014.19.

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Esterle, Lukas, Peter R. Lewis, Horatio Caine, Xin Yao, and Bernhard Rinner. "CamSim: A Distributed Smart Camera Network Simulator." In 2013 IEEE Conference on Self-Adaptive and Self-Organizing Systems Workshops (SASOW). IEEE, 2013. http://dx.doi.org/10.1109/sasow.2013.11.

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Petruzzi, Patricio E., Didac Busquets, and Jeremy Pitt. "Self Organising Flexible Demand for Smart Grid." In 2013 IEEE Conference on Self-Adaptive and Self-Organizing Systems Workshops (SASOW). IEEE, 2013. http://dx.doi.org/10.1109/sasow.2013.19.

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Taylor, Nick. "Personal eSpace and Personal Smart Spaces." In 2008 Second IEEE International Conference on Self-Adaptive and Self-Organizing Systems Workshops, SASOW. IEEE, 2008. http://dx.doi.org/10.1109/sasow.2008.23.

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Dry, Carolyn M. "Design of self-growing, self-sensing, and self-repairing materials for engineering applications." In Smart Materials and MEMS, edited by Alan R. Wilson and Hiroshi Asanuma. SPIE, 2001. http://dx.doi.org/10.1117/12.424430.

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Frey, Sylvain, Ada Diaconescu, David Menga, and Isabelle Demeure. "Exemplifying Conflict Resolution in Multi-objective Smart Micro-Grids." In 2013 IEEE Conference on Self-Adaptive and Self-Organizing Systems Workshops (SASOW). IEEE, 2013. http://dx.doi.org/10.1109/sasow.2013.10.

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Warriach, Ehsan Ullah, Tanir Ozcelebi, and Johan J. Lukkien. "Fault-Prevention in Smart Environments for Dependable Applications." In 2014 IEEE 8th International Conference on Self-Adaptive and Self-Organizing Systems (SASO). IEEE, 2014. http://dx.doi.org/10.1109/saso.2014.35.

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Reports on the topic "Smart self"

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BURNS, ALAN R., DARRYL Y. SASAKI, R. W. CARPICK, JOHN A. SHELNUTT, and C. JEFFREY BRINKER. Functional Materials for Microsystems: Smart Self-Assembled Photochromic Films: Final Report. Office of Scientific and Technical Information (OSTI), 2001. http://dx.doi.org/10.2172/789579.

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Zanker. L52361 Smart USM Diagnostics - Phase I. Pipeline Research Council International, Inc. (PRCI), 2007. http://dx.doi.org/10.55274/r0010938.

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It has long been known that all ultrasonic flow meters, especially those that exploit multiple paths to achieve higher accuracies are capable of extensive self-diagnosis. However, each manufacturer of the technology has tended to develop diagnostic tools specific to each particular device. This has led to a confusing mix of offerings that are not transportable between meters, and whose interpretations are not always consistent.
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Ruppel, F. R. Development of a smart temperature measurement system based on a self-calibrating thermocouple. Office of Scientific and Technical Information (OSTI), 1989. http://dx.doi.org/10.2172/6233372.

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Lambermont, Serge, and Niels De Boer. Unsettled Issues Concerning Automated Driving Services in the Smart City Infrastructure. SAE International, 2021. http://dx.doi.org/10.4271/epr2021030.

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Information and communication technology is fundamentally changing the way we live and operate in cities, such as instant access to events, transportation, bookings, payments, and other services. At the same time, three “megatrends” in the automotive industry—self-driving, electrification, and advanced manufacturing technology—are enabling the design of innovative, application-specific vehicles that capitalize on city connectivity. Applications could countless; however, they also need to be safe and securely integrated into a city’s physical and digital infrastructure, and into the overall urb
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Pasupuleti, Murali Krishna. Smart Nanomaterials and AI-Integrated Grids for Sustainable Renewable Energy. National Education Services, 2025. https://doi.org/10.62311/nesx/rr1025.

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Abstract: The transition to sustainable and intelligent renewable energy systems is being driven by advancements in smart nanomaterials and AI-integrated smart grids. Nanotechnology has enabled the development of high-performance energy materials, such as graphene, perovskites, quantum dots, and MXenes, which enhance the efficiency, durability, and scalability of renewable energy solutions. Simultaneously, AI-driven smart grids leverage machine learning, deep learning, and digital twins to optimize energy distribution, predictive maintenance, and real-time load balancing in renewable energy ne
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Feng, Philip. Transforming Ordinary Buildings into Smart Buildings via Low-Cost, Self-Powering Wireless Sensors & Sensor Networks. Office of Scientific and Technical Information (OSTI), 2017. http://dx.doi.org/10.2172/1372099.

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Kumar, Ashok, L. D. Stephenson, Timothy D. Race, and Tony Bochniak. Demonstration of Smart Fluorescent and Self-Healing Coatings for Severely Corrosive Environments at Vehicle Wash Facilities. Defense Technical Information Center, 2009. http://dx.doi.org/10.21236/ada526315.

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Zanker. PR-343-06604-R02 Smart USM Diagnostics - Phase 2. Pipeline Research Council International, Inc. (PRCI), 2009. http://dx.doi.org/10.55274/r0010758.

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It has long been known that all ultrasonic flow meters, especially those that exploit multiple paths to achieve higher accuracies, are capable of extensive self-diagnosis. However, each manufacturer of the technology has tended to develop diagnostic tools peculiar to his particular device. This has led to a confusing mix of offerings that are not transportable between meters, and whose interpretations are not always consistent. This report addresses: � Verification of the Phase 1 models against available field data; � Implementation of field-tested methods offered by PRCI users; � Trending the
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Zanker. PR-343-14601-R01 Smart USM Diagnostics - Phase 3. Pipeline Research Council International, Inc. (PRCI), 2014. http://dx.doi.org/10.55274/r0010043.

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Ultrasonic flow meters, especially those that exploit multiple paths to achieve higher accuracies, are capable of extensive self-diagnosis. Each ultrasonic meter manufacturer has tended to devel-op diagnostic tools specific to his particular device. This has led to a confusing mix of offerings that are not transportable between meters and whose names and interpretations are not always consistent. The focus of this effort has been to examine four areas that yield information indicative of both the health of the meter and the quality of the measurements it is providing: (1) the meter design and
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Pasupuleti, Murali Krishna. Automated Smart Contracts: AI-powered Blockchain Technologies for Secure and Intelligent Decentralized Governance. National Education Services, 2025. https://doi.org/10.62311/nesx/rrv425.

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Abstract: Automated smart contracts represent a paradigm shift in decentralized governance by integrating artificial intelligence (AI) with blockchain technologies to enhance security, scalability, and adaptability. Traditional smart contracts, while enabling trustless and automated transactions, often lack the flexibility to adapt to dynamic regulatory frameworks, evolving economic conditions, and real-time security threats. AI-powered smart contracts leverage machine learning, reinforcement learning, and predictive analytics to optimize contract execution, detect fraudulent transactions, and
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