Relevant bibliographies by topics / Non-intrusive approach

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

Academic literature on the topic 'Non-intrusive approach'

Author: Grafiati
Published: 24 June 2021
Last updated: 29 July 2025

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Journal articles on the topic "Non-intrusive approach"

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Ling-Zhi Yi, Ling-Zhi Yi, Xi-Meng Liu Ling-Zhi Yi, Guo-Yong Zhang Xi-Meng Liu, Hui-Na Song Guo-Yong Zhang, and Ning Liu Hui-Na Song. "An Non-Intrusive Load Event Detection Approach Based on CEEMDAN-WTD-F Test." 電腦學刊 33, no. 6 (2022): 021–36. http://dx.doi.org/10.53106/199115992022123306002.

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<p>To improve the perception of the switch state of the electrical equipment and realize the identification of the non-intrusive load switching process more accurately, a non-intrusive load event detection method based on the CEEMDAN-WTD-F test is proposed in this paper. Firstly, the adaptive median filter is used to reduce the noise fluctuation of power data of electric equipment and the discrete sequence derivative is used to reduce turn-on transition time for individual loads. Then, based on the principle of decomposition denoising and statistical testing, Complete Ensemble Empirical
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Bajaj, Jaspreet Singh, Naveen Kumar, Rajesh Kumar Kaushal, H. L. Gururaj, Francesco Flammini, and Rajesh Natarajan. "System and Method for Driver Drowsiness Detection Using Behavioral and Sensor-Based Physiological Measures." Sensors 23, no. 3 (2023): 1292. http://dx.doi.org/10.3390/s23031292.

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The amount of road accidents caused by driver drowsiness is one of the world’s major challenges. These accidents lead to numerous fatal and non-fatal injuries which impose substantial financial strain on individuals and governments every year. As a result, it is critical to prevent catastrophic accidents and reduce the financial burden on society caused by driver drowsiness. The research community has primarily focused on two approaches to identify driver drowsiness during the last decade: intrusive and non-intrusive. The intrusive approach includes physiological measures, and the non-intrusiv
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Huang, Dongli, Jeongwon Seo, Salma Magdi, Alya Badawi, and Hany Abdel-Khalik. "Non-intrusive stochastic approach for nuclear cross-sections adjustment." Annals of Nuclear Energy 155 (June 2021): 108162. http://dx.doi.org/10.1016/j.anucene.2021.108162.

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Massidda, Luca, and Marino Marrocu. "A Bayesian Approach to Unsupervised, Non-Intrusive Load Disaggregation." Sensors 22, no. 12 (2022): 4481. http://dx.doi.org/10.3390/s22124481.

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Estimating household energy use patterns and user consumption habits is a fundamental requirement for management and control techniques of demand response programs, leading to a growing interest in non-intrusive load disaggregation methods. In this work we propose a new methodology for disaggregating the electrical load of a household from low-frequency electrical consumption measurements obtained from a smart meter and contextual environmental information. The method proposed allows, with an unsupervised and non-intrusive approach, to separate loads into two components related to environmenta
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Panunzio, A. M., Loic Salles, and C. W. Schwingshackl. "Uncertainty propagation for nonlinear vibrations: A non-intrusive approach." Journal of Sound and Vibration 389 (February 2017): 309–25. http://dx.doi.org/10.1016/j.jsv.2016.09.020.

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Yin, Jianwei, Xinkui Zhao, Yan Tang, Chen Zhi, Zuoning Chen, and Zhaohui Wu. "CloudScout: A Non-Intrusive Approach to Service Dependency Discovery." IEEE Transactions on Parallel and Distributed Systems 28, no. 5 (2017): 1271–84. http://dx.doi.org/10.1109/tpds.2016.2619715.

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Berveiller, Marc, Bruno Sudret, and Maurice Lemaire. "Stochastic finite element: a non intrusive approach by regression." European Journal of Computational Mechanics 15, no. 1-3 (2006): 81–92. http://dx.doi.org/10.3166/remn.15.81-92.

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Wahlsten, Markus, and Jan Nordström. "On Stochastic Investigation of Flow Problems Using the Viscous Burgers’ Equation as an Example." Journal of Scientific Computing 81, no. 2 (2019): 1111–17. http://dx.doi.org/10.1007/s10915-019-01053-7.

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Abstract We consider a stochastic analysis of non-linear viscous fluid flow problems with smooth and sharp gradients in stochastic space. As a representative example we consider the viscous Burgers’ equation and compare two typical intrusive and non-intrusive uncertainty quantification methods. The specific intrusive approach uses a combination of polynomial chaos and stochastic Galerkin projection. The specific non-intrusive method uses numerical integration by combining quadrature rules and the probability density functions of the prescribed uncertainties. The two methods are compared in ter
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Cao, Gang, Yao Zhao, and Rongrong Ni. "Forensic identification of resampling operators: A semi non-intrusive approach." Forensic Science International 216, no. 1-3 (2012): 29–36. http://dx.doi.org/10.1016/j.forsciint.2011.08.012.

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Lu, Mengqi, and Zuyi Li. "A Hybrid Event Detection Approach for Non-Intrusive Load Monitoring." IEEE Transactions on Smart Grid 11, no. 1 (2020): 528–40. http://dx.doi.org/10.1109/tsg.2019.2924862.

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Dissertations / Theses on the topic "Non-intrusive approach"

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Varma, Sumit. "A non-intrusive approach to information management." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/mq22413.pdf.

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FILHO, JOSÉ MARIA DA SILVA MONTEIRO. "A NON-INTRUSIVE APPROACH FOR AUTOMATED PHYSICAL DESIGN TUNING." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2008. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=12965@1.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO<br>CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO<br>O projeto físico de bancos de dados cumpre um papel primordial para assegurar um desempenho adequado. Atualmente, existe uma grande quantidade de trabalhos e ferramentas na área de seleção automática do projeto físico. Tais ferramentas, contudo, adotam uma abordagem offline na solução do problema e transferem para o DBA, dentre outras tarefas, a decisão de executar ou não as recomendações sugeridas. Todavia, em ambientes dinâmicos, com consultas ad-hoc, torna-se bastante compl
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LOYOLA, NILTON ALEJANDRO CUELLAR. "ROBUST TOPOLOGY OPTIMIZATION USING A NON-INTRUSIVE STOCHASTIC SPECTRAL APPROACH." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2018. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=36063@1.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO<br>COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR<br>PROGRAMA DE EXCELENCIA ACADEMICA<br>Este trabalho apresenta aplicações de métodos espectrais estocásticos para otimização topológica de estruturas na presença de incertezas. Esse procedimento, conhecido como otimização topológica robusta, minimiza uma combinação entre a média e o desvio padrão da função objetivo. Para tanto, uma expansão de caos polinomial não intrusiva é integrada a um algoritmo de otimização topológica para se calcular os dois primeiros momentos estatísticos
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Desai, Ushesh K. "A non-intrusive approach to secure the Border Gateway Protocol." Connect to online resource, 2007. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:1447668.

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Cannermo, Trine P. W. "Non-Intrusive Methods for Documentating Upholstery : five ways to approach an intriguing conundrum." Thesis, Linköpings universitet, Carl Malmsten - furniture studies, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-113566.

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During my internship at the Upholstery conservation department at the Metropolitan Museum of art in New York, I came across a chair that caught my interest and therefore I chose to dedicate the last two months of my internship, investigating this chair. It was said about the chair that it had the original upholstery and cover, but some questions appeared. These questions I have tried to solve, as I will reveal in the following, by using mostly non-intrusive methods, in attempt to see how much useful information this approach can provide, concerning frame structure, inner-upholstery, showcover
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Aladesanmi, Ereola Johnson. "Non intrusive load monitoring & identification for energy management system using computational intelligence approach." Master's thesis, University of Cape Town, 2015. http://hdl.handle.net/11427/13561.

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Includes bibliography.<br>Electrical energy is the life line to every nation’s or continent development and economic progress. Referable to the recent growth in the demand for electricity and shortage in production, it is indispensable to develop strategies for effective energy management and system delivery. Load monitoring such as intrusive load monitoring, non-intrusive load monitoring, and identification of domestic electrical appliances is proposed especially at the residential level since it is the major energy consumer. The intrusive load monitoring provides accurate results and would a
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Wangermez, Maxence. "Méthode de couplage surfacique pour modèles non-compatibles de matériaux hétérogènes : approche micro-macro et implémentation non-intrusive." Thesis, université Paris-Saclay, 2020. http://www.theses.fr/2020UPASN001.

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Un des objectifs prioritaires des industries aéronautiques est la réduction de la masse des structures, tout en permettant l'amélioration de leurs performances. Ceci passe notamment par l'utilisation de matériaux composites et le recours croissant à la simulation numérique, permettant la minimisation du nombre d'essais physiques et l'optimisation des structures.L'enjeu de ces travaux est de pouvoir calculer précisément, sur des matériaux architecturés, l'influence de la microstructure, modélisée par exemple directement par tomographie, sur la tenue de pièces complètes. Pour prendre en compte à
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Allayiotis, Elias. "Characterization of Mobile Web Quality of Experience using a non-intrusive, context-aware, mobile-to-cloud system approach." Thesis, University of Central Lancashire, 2017. http://clok.uclan.ac.uk/20734/.

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This study presents a modelling approach for quantifying the Mobile Web Quality of Experience (MWQoE). It builds on current QoE and Web QoE research, and by fusing together data that is available on modern mobile devices, constructs a novel MWQoE model that is user-centered, context-aware and non-intrusive (does not depend on user feedback). This study identifies the factors which affect Web QoE and measures their effect on it in mobile scenarios. Moreover, this study explores scenarios in which Web QoE can be effectively characterized and enhanced, delivering a novel Mobile-to-Cloud system fo
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Korduner, Lars, and Mattias Sundquist. "Determining an optimal approach for human occupancy recognition in a study room using non-intrusive sensors and machine learning." Thesis, Malmö universitet, Fakulteten för teknik och samhälle (TS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-20632.

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Mänskligt igenkännande med användning av sensorer och maskininlärning är ett fält med många praktiska tillämpningar. Det finns några kommersiella produkter som på ett tillförlitligt sätt kan känna igen människor med hjälp av videokameror. Dock ger videokameror ofta en oro för inkräktning i privatlivet, men genom att läsa det relaterade arbetet kan man hävda att i vissa situationer är en videokamera inte nödvändigtvis mer tillförlitlig än billiga, icke-inkräktande sensorer. Att känna igen antalet människor i ett litet studie / kontorsrum är en sådan situation. Även om det har gjorts många framg
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Nunez, Ramirez Jorge. "A multi time-step partitioned approach for the coupling of SPH and FE methods for nonlinear FSI problems." Thesis, Lyon, 2017. http://www.theses.fr/2017LYSEI040/document.

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Dans le cadre de ce travail, une technique non-intrusive est proposée pour coupler la méthode Smoothed Particle Hydrodynamics (SPH) à la méthode des Eléments Finis afin de résoudre numériquement des problèmes dynamiques et non-linéaires d’interaction fluide-structure en permettant l’utilisation des pas de temps différents dans les deux domaines de calcul (fluide et solide). Ces développements sont motivés par le besoin de simuler numériquement des phénomènes rapides et très non-linéaires qui prennent en compte des impacts en se servant des intégrateurs temporels explicites dans chaque sous-domain
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Books on the topic "Non-intrusive approach"

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Bonfigli, Roberto, and Stefano Squartini. Machine Learning Approaches to Non-Intrusive Load Monitoring. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-30782-0.

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Folino, Anthony. The errorless classroom: A success-focused, non-intrusive approach to intervention for severe behaviour. 2006.

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Bonfigli, Roberto, and Stefano Squartini. Machine Learning Approaches to Non-Intrusive Load Monitoring. Springer, 2019.

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Book chapters on the topic "Non-intrusive approach"

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Bonfigli, Roberto, and Stefano Squartini. "HMM Based Approach." In Machine Learning Approaches to Non-Intrusive Load Monitoring. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-30782-0_4.

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Bonfigli, Roberto, and Stefano Squartini. "DNN Based Approach." In Machine Learning Approaches to Non-Intrusive Load Monitoring. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-30782-0_5.

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Marti, P., A. Rizzo, L. Petroni, G. Tozzi, and M. Diligenti. "Adapting the museum: a non-intrusive user modeling approach." In CISM International Centre for Mechanical Sciences. Springer Vienna, 1999. http://dx.doi.org/10.1007/978-3-7091-2490-1_34.

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Schirmer, Pascal A., and Iosif Mporas. "Binary versus Multiclass Deep Learning Modelling in Energy Disaggregation." In Springer Proceedings in Energy. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-63916-7_6.

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AbstractThis paper compares two different deep-learning architectures for the use in energy disaggregation and Non-Intrusive Load Monitoring. Non-Intrusive Load Monitoring breaks down the aggregated energy consumption into individual appliance consumptions, thus detecting device operation. In detail, the “One versus All” approach, where one deep neural network per appliance is trained, and the “Multi-Output” approach, where the number of output nodes is equal to the number of appliances, are compared to each other. Evaluation is done on a state-of-the-art baseline system using standard perform
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Gupta, Rajiv, and Madalene Spezialetti. "Towards a non-intrusive approach for monitoring distributed computations through perturbation analysis." In Languages and Compilers for Parallel Computing. Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/3-540-57659-2_33.

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Salem, Hajer, and Moamar Sayed-Mouchaweh. "A Semi-supervised and Online Learning Approach for Non-Intrusive Load Monitoring." In Lecture Notes in Computer Science. Springer International Publishing, 2020. https://doi.org/10.1007/978-3-030-46133-1_35.

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Gomes, Marco, John Zeleznikow, and Paulo Novais. "A Non-intrusive Approach to Measuring Trust in Opponents in a Negotiation Scenario." In Lecture Notes in Computer Science. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00178-0_36.

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Vasconcelos, Michel, Nabor C. Mendonça, and Paulo Henrique M. Maia. "Cloud Detours: A Non-intrusive Approach for Automatic Software Adaptation to the Cloud." In Service Oriented and Cloud Computing. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-24072-5_13.

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Yadav, Piyush, Kejul Kalyani, and Ravi Mahamuni. "User Intention Mining: A Non-intrusive Approach to Track User Activities for Web Application." In Advances in Swarm and Computational Intelligence. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-20469-7_17.

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Ren, Shangping, Nianen Chen, Yue Yu, Pierre Poirot, Kevin Kwiat, and Jeffrey J. P. Tsai. "A Non-Intrusive Approach to Enhance Legacy Embedded Control Systems with Cyber Protection Features." In Machine Learning in Cyber Trust. Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-88735-7_7.

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Conference papers on the topic "Non-intrusive approach"

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Sayılar, Burak Cem, Gamze Mıhçı, and Oğuzhan Ceylan. "Synthetic Data for Non-Intrusive Load Monitoring: A Markov Chain Based Approach." In 2024 3rd International Conference on Energy Transition in the Mediterranean Area (SyNERGY MED). IEEE, 2024. https://doi.org/10.1109/synergymed62435.2024.10799364.

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Ginting Munthe, Romario Oktavelen, Kuo-Lung Lian, Suwarno, Nanang Hariyanto, and Kaisar Fabhila Primaghani. "Conservative Power Theory Approach for Feature Extraction in Non-Intrusive Load Monitoring." In 2024 IEEE International Conference on Recent Advances in Systems Science and Engineering (RASSE). IEEE, 2024. https://doi.org/10.1109/rasse64357.2024.10774051.

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Hood, Kendric, Kelin Rumsey, Mark Cola, et al. "Echo State Networks: A Non-Intrusive Approach to Anomaly Detection in Manufacturing." In SC24-W: Workshops of the International Conference for High Performance Computing, Networking, Storage and Analysis. IEEE, 2024. https://doi.org/10.1109/scw63240.2024.00011.

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Baete, Christophe, Bart Van den Bossche, Chihab Abarkane, Sergio Peña, and Alejandra Albes. "A Novel Digital Twin Approach for Non-Intrusive Tank Bottom Corrosion Assessment." In CONFERENCE 2023. AMPP, 2023. https://doi.org/10.5006/c2023-18773.

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Abstract Aboveground storage tanks require regular inspections of possible corrosion attacks on the tank bottom which typically calls for internal access leading to downtime and increased operational cost. A failure probability-based inspection approach utilizing non-intrusive technologies is the ultimate goal for operating above ground storage tanks in the most cost-beneficial way. This article describes a novel approach that combines ElectroMagnetic Acoustic Transducer (EMAT) technology with Finite Element Method (FEM) modeling for the detection and prediction of corrosion growth and the rem
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Wu, Zhengtao, Yanghong Xia, and Zichen Li. "A Novel Non-Intrusive Load Decomposition Approach Based on TCN with RFAM Method." In 2025 International Conference on Electrical Automation and Artificial Intelligence (ICEAAI). IEEE, 2025. https://doi.org/10.1109/iceaai64185.2025.10956610.

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Hong, Weijie, Yong Yang, Junqi Wu, et al. "NICSDG: A Non-Intrusive Approach to Constructing Concise Service Dependency Graphs for Microservice Systems." In 2024 IEEE 35th International Symposium on Software Reliability Engineering Workshops (ISSREW). IEEE, 2024. https://doi.org/10.1109/issrew63542.2024.00051.

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Sadhsaivam, Jayakumar, Siddhanth Garg, Vishnu A, Swathika Eakambaram, Siddhant Dayal, and Antarang Kalia. "Real-Time Stress Detection via Facial Recognition Using VGG16 CNN: A Non-Intrusive Approach." In 2024 3rd International Conference on Automation, Computing and Renewable Systems (ICACRS). IEEE, 2024. https://doi.org/10.1109/icacrs62842.2024.10841664.

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Dienes, Anca, and William Fazackerley. "Effective Sand Management Using Complimentary Non-Intrusive Erosion Monitoring Solutions." In CONFERENCE 2024. AMPP, 2024. https://doi.org/10.5006/c2024-20641.

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Abstract Sand production and erosion pose significant challenges in the oil and gas industry, leading to equipment damage, production loss, and costly repairs. Existing sand control techniques such as well completion, sand screens, sand separation, or predictive models for sand production are not 100% effective. This paper presents a comprehensive approach to sand management utilizing complimentary non-intrusive erosion monitoring solutions. The focus is on the integration of acoustic sensors and ultrasonic thickness sensors to detect and assess sand particles in pipelines and process equipmen
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Fazackerley, William. "5 Reasons Why Your Intrusive Sensors Are Old Technology." In CONFERENCE 2025. AMPP, 2025. https://doi.org/10.5006/c2025-00336.

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Abstract An examination of five critical reasons reveals why traditional intrusive measurement technologies are rapidly becoming obsolete. In today's competitive landscape, refineries and processing plants can no longer afford the limitations of outdated sensor solutions. The evidence demonstrates how non-intrusive monitoring methods are redefining industry standards, delivering unparalleled benefits that leave intrusive systems in the dust. The analysis explores how non-intrusive sensors can be deployed with unprecedented speed and flexibility, avoiding lengthy downtime and process disruption
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Al-Barout, M., A. Al-Abdulhadi, S. Al-Mutairi, M. Al-Waranbi, and H. Al-Mutairi. "Non-Intrusive Online Multi-Sensors for Pipeline Corrosion Monitoring “Field Testing”." In CORROSION 2010. NACE International, 2010. https://doi.org/10.5006/c2010-10174.

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Abstract Corrosion costs the Oil and Gas industries alone billions of dollars annually in downtime, production loss, equipment failures, environmental contamination and most importantly personnel injuries and fatalities. Many of these corrosion related costs could be significantly reduced by endorsing the use of continuous corrosion monitoring technologies as part of a plant comprehensive corrosion management program. In the last few years, there has been an increasing demand for online corrosion and/or erosion monitoring tools for monitoring wall thickness measurements on pipelines and proces
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Reports on the topic "Non-intrusive approach"

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Hammouti, A., S. Larmagnat, C. Rivard, and D. Pham Van Bang. Use of CT-scan images to build geomaterial 3D pore network representation in preparation for numerical simulations of fluid flow and heat transfer, Quebec. Natural Resources Canada/CMSS/Information Management, 2023. http://dx.doi.org/10.4095/331502.

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Non-intrusive techniques such as medical CT-Scan or micro-CT allow the definition of 3D connected pore networks in porous materials, such as sedimentary rocks or concrete. The definition of these networks is a key step towards the evaluation of fluid flow and heat transfer in energy resource (e.g., hydrocarbon and geothermal reservoirs) and CO2 sequestration research projects. As material heterogeneities play a role at all scales (from micro- to project-scale), numerical models represent a powerful tool for bridging the gap between small-scale measurements provided by X-ray imaging techniques
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Arhin, Stephen, Babin Manandhar, Kevin Obike, and Melissa Anderson. Impact of Dedicated Bus Lanes on Intersection Operations and Travel Time Model Development. Mineta Transportation Institute, 2022. http://dx.doi.org/10.31979/mti.2022.2040.

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Over the years, public transit agencies have been trying to improve their operations by continuously evaluating best practices to better serve patrons. Washington Metropolitan Area Transit Authority (WMATA) oversees the transit bus operations in the Washington Metropolitan Area (District of Columbia, some parts of Maryland and Virginia). One practice attempted by WMATA to improve bus travel time and transit reliability has been the implementation of designated bus lanes (DBLs). The District Department of Transportation (DDOT) implemented a bus priority program on selected corridors in the Dist
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