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Littérature scientifique sur le sujet « Interpretative Optimization »

Auteur : Grafiati

Publié le 2 juin 2025

Mis à jour le 31 juillet 2025

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Articles de revues sur le sujet "Interpretative Optimization"

Todorovic, Zaklina, Ljubinka Rajakovic, and Antonije Onjia. "Interpretative optimization of the isocratic ion chromatographic separation of anions." Journal of the Serbian Chemical Society 81, no. 6 (2016): 661–72. http://dx.doi.org/10.2298/jsc150927022t.

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Interpretive retention modeling was utilized to optimize the isocratic ion chromatographic (IC) separation of the nine anions (formate, fluoride, chloride, nitrite, bromide, nitrate, phosphate, sulfate, oxalate). The carbonate-bicarbonate eluent was used and separation was done on a Dionex AS14 ion-exchange column. The influence of combined effects of two mobile phase factors, the total eluent concentration (2 - 6 mM) and the carbonate/bicaronate ratio from 1:9 to 9:1 (which corespondent to pH range 9.35 - 11.27), on the IC separation was studied. The multiple species analyte/eluent model that

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Mayer, Katja. "Objectifying Social Structures. Network visualization as means of social optimization." Theory and Psychology 22, no. 2 (2012): 162–78. https://doi.org/10.5281/zenodo.49591.

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Social network analysis offers a broad range of formal and interpretative methodologies to deal with social structures, not only by discursive, but also by visual means. Sociograms, depicting social relations as nodes and lines, have played an important part in the reification of social structures since the beginnings of sociometry. This paper brings together two strands of analysis: first, a historical perspective on the development of social network visualization; and, second, exemplary stories of black-boxed technologies that inform not only the depiction, but also the interpretation of soc

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Johnson, Pamela T., Karen M. Horton, and Elliot K. Fishman. "Adrenal Imaging with Multidetector CT: Evidence-based Protocol Optimization and Interpretative Practice." RadioGraphics 29, no. 5 (2009): 1319–31. http://dx.doi.org/10.1148/rg.295095026.

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Ramanauskienė, Sada, and Aida Norviliene. "OPTIMIZATION OF ACHIEVEMENTS ASSESSMENT OF PRESCHOOL CHILDREN." SOCIETY. INTEGRATION. EDUCATION. Proceedings of the International Scientific Conference 2 (May 26, 2017): 318. http://dx.doi.org/10.17770/sie2017vol2.2445.

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In this article the authors present the system assessing the achievements of preschool children in Lithuania, the teacher's opinion regarding the description of achievements assessment of preschool children and its adaptation in a preschool education institution. This article presents the recommendations for the optimization of achievements assessment of preschool children. The quantitative research was applied in accordance with the interpretative attitude, a total of 130 preschool education teachers and managers from Klaipeda region. The results: optimization of implementation of description

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Sremac, Snežana, Aleksandar Popović, Žaklina Todorović, Đuro Čokeša, and Antonije Onjia. "Interpretative optimization and artificial neural network modeling of the gas chromatographic separation of polycyclic aromatic hydrocarbons." Talanta 76, no. 1 (2008): 66–71. http://dx.doi.org/10.1016/j.talanta.2008.02.004.

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Jiang, Bin, Hong Jun Yao, Dan Hua Xia, Ying Li, and Hong Xu. "Hierarchical Structure Model of High Speed Milling Hardened Steel." Advanced Materials Research 305 (July 2011): 75–79. http://dx.doi.org/10.4028/www.scientific.net/amr.305.75.

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In high speed milling hardened steel, cutting performance of cutter is uncertainty because hardness distribution and machining elements change. Based on the experiments of high speed milling hardened steel, the interaction among cutting force, cutting temperature, cutting vibration, processing surface quality and machining efficiency is investigated by means of interpretative structural modeling method, hierarchical structure model in high speed milling hardened steel is founded, optimization design method of high speed milling performance is proposed. Results show that uneven distribution of

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Li, Tiehong, Jin Li, Junbang Jiang, and Xinyu Liu. "Fuzzy PID control based on genetic algorithm optimization inverted pendulum system." Journal of Physics: Conference Series 2816, no. 1 (2024): 012001. http://dx.doi.org/10.1088/1742-6596/2816/1/012001.

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Abstract For the first-order inverted pendulum control system, a fuzzy PID control system based on the optimization of the genetic algorithm is proposed. The traditional genetic algorithm has the problem that the difference in the fuzzy subset parameter leads to a decrease in the interpretative ability of the fuzzy system. The main problem of the current genetic algorithm is the complexity of the computation and the low efficiency. Based on this problem, this paper proposes an improved genetic algorithm, i.e., it adopts the variance operator and adaptive change of the variance index and elite

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Guo, Kexin, Guoqing Peng, Jining Pang, Shuaibing Shen, Xuewen Lin, and Qian Wan. "A dynamic post-evaluation analysis strategy based on Space syntax for optimizing middle school campus layout." E3S Web of Conferences 248 (2021): 03055. http://dx.doi.org/10.1051/e3sconf/202124803055.

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Space syntax has injected new vitality into quantitative and parameterized planning and design of middle school campus. Although, there are extensive interpretative problems in space syntax that need to be clarified during engineering planning and design of campus. This paper focuses on: (1) the parameters and models of space syntax are clarified from the perspectives of planning and design; (2) the specific application of space syntax in campus planning and design is discussed from the four stages of preliminary research, scheme analysis, scheme design and scheme optimization; (3) a relativel

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Xu, Bo, Yuan Yao, Xuan Wang, Linsong Sun, Bin Ou, and Yanming Zhang. "A Multi-Input Multi-Output Considering Correlation and Hysteresis Prediction Method for Gravity Dam Displacement with Interpretative Functions." Applied Sciences 15, no. 13 (2025): 7096. https://doi.org/10.3390/app15137096.

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The displacement of a concrete gravity dam is a direct manifestation of its deformation. It provides an intuitive reflection of the dam’s overall operational behavior and serves as a key indicator of the dam’s safe operating condition. In this paper, we propose a factor set that considers the hysteresis effects of temperature on displacement and ranks the importance of the features to select the optimal factor sets at different measurement points by the ReliefF method. Then, we realize the simultaneous prediction of the displacements at multiple measurement points by the multi-input multi-outp

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Ankita H. Harkare. "Intelligent Crop Management Optimization using Machine Learning Algorithms: A Linear Analytical Approach." Advances in Nonlinear Variational Inequalities 27, no. 3 (2024): 198–210. http://dx.doi.org/10.52783/anvi.v27.1367.

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This research paper explores Utilizing machine learning techniques in practice, to enhance crop management recommendations. It leverages historical and real-time data, encompassing weather conditions, soil characteristics, growth stages, and past information. A rigorous data prepossessing procedure is employed to generate a well-structured 1.31 lacs data set. Various methodologies are utilized to construct predictive. These models' effectiveness is evaluated using common assessment metrics, such as Recall, accuracy, precision, and F1-score. To enhance the reliability and transparency of the re

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Thèses sur le sujet "Interpretative Optimization"

Yang, Dekun. "An optimization approach to labelling problems in computer vision." Thesis, University of Surrey, 1995. http://epubs.surrey.ac.uk/843153/.

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This thesis is concerned with the development of an optimization based approach to solving labelling problems which involve the assignment of image entities into interpretation categories in computer vision. Attention is mainly focussed on the theoretical basis and computational aspect of continuous relaxation for solving a discrete labelling problem based on an optimization framework. First, a theoretical basis for continuous relaxation is presented which includes the formulation of a discrete labelling problem as a continuous minimization problem and an analysis of labelling unambiguity asso

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Elms, Kim. "Debugging optimised code using function interpretation." Thesis, Queensland University of Technology, 1999.

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Beard, Jacob. "Developing rich, web-based user interfaces with the statecharts interpretation and optimization engine." Thesis, McGill University, 2013. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=116899.

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Today's Web browsers provide a platform for the development of complex, richly interactive user interfaces. But, with this complexity come additional challenges for Web developers. The complicated behavioural relationships between user interface components are often stateful, and are difficult to describe, encode and maintain using conventional programming techniques with ECMAScript, the general-purpose scripting language embedded in all Web browsers. Furthermore, user interfaces must be performant, reacting to user input quickly; if the system responds too slowly, the result is a visible UI "

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Richtarik, Pavel. "Rychlý a částečně překládaný simulátor pro aplikačně specifické procesory." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2018. http://www.nusl.cz/ntk/nusl-385970.

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The major objective of this work is to analyse possibilities of using simulation within the development of application-specific instruction-set processors, to explore and compare some common simulation techniques and to use the collected information to design a new simulation tool suitable for utilization in the processors development and optimization. This thesis presents the main requirements on the new simulator and describes the design and implementation of its key parts with emphasis on the high performance.

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Jiang, Xulin. "Political justice and Laissez-faire : a consequentialist optimization of Rawl's scheme of justice as fairness." HKBU Institutional Repository, 2009. http://repository.hkbu.edu.hk/etd_ra/983.

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Shen, Sumin. "Contributions to Structured Variable Selection Towards Enhancing Model Interpretation and Computation Efficiency." Diss., Virginia Tech, 2020. http://hdl.handle.net/10919/96767.

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The advances in data-collecting technologies provides great opportunities to access large sample-size data sets with high dimensionality. Variable selection is an important procedure to extract useful knowledge from such complex data. While in many real-data applications, appropriate selection of variables should facilitate the model interpretation and computation efficiency. It is thus important to incorporate domain knowledge of underlying data generation mechanism to select key variables for improving the model performance. However, general variable selection techniques, such as the best su

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Saraswati, Anita Thea. "Development of a Numerical Tool for Gravimetry and Gradiometry Data Processing and Interpretation : application to GOCE Observations." Thesis, Montpellier, 2018. http://www.theses.fr/2018MONTG077/document.

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Aujourd’hui, la communauté scientifique dispose de jeux de données gravimétriques avec une précision et une résolution spatiale sans précédent qui améliorent nos connaissances du champ gravitationnel terrestre à différentes échelles et longueurs d’ondes, obtenues de mesures du sol à des satellites. Parallèlement à la gravimétrie, l’avancement des observations par satellite fournit à la communauté des modèles d’élévation numérique plus détaillés pour refléter la géométrie de la structure terrestre. Ensemble, ces nouveaux jeux de données offrent une excellente occasion de mieux comprendre les st

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Maalej, Kammoun Maroua. "Low-cost memory analyses for efficient compilers." Thesis, Lyon, 2017. http://www.theses.fr/2017LYSE1167/document.

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La rapidité, la consommation énergétique et l'efficacité des systèmes logiciels et matériels sont devenues les préoccupations majeures de la communauté informatique de nos jours. Gérer de manière correcte et efficace les problématiques mémoire est essentiel pour le développement des programmes de grande tailles sur des architectures de plus en plus complexes. Dans ce contexte, cette thèse contribue aux domaines de l'analyse mémoire et de la compilation tant sur les aspects théoriques que sur les aspects pratiques et expérimentaux. Outre l'étude approfondie de l'état de l'art des analyses mémoi

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Li, Bin. "Statistical learning and predictive modeling in data mining." Columbus, Ohio : Ohio State University, 2006. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1155058111.

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Préville-Ratelle, Louis-François. "A Combinatorial Interpretation of Minimal Transitive Factorizations into Transpositions for Permutations with two Disjoint Cycles." Thesis, 2008. http://hdl.handle.net/10012/3524.

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This thesis is about minimal transitive factorizations of permutations into transpositions. We focus on finding direct combinatorial proofs for the cases where no such direct combinatorial proofs were known. We give a description of what has been done previously in the subject at the direct combinatorial level and in general. We give some new proofs for the known cases. We then present an algorithm that is a bijection between the set of elements in {1, ..., k} dropped into n cyclically ordered boxes and some combinatorial structures involving trees attached to boxes, where these structures dep

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Livres sur le sujet "Interpretative Optimization"

International Seminar on Model Optimization in Exploration Geophysics (9th 1991 Berlin, Germany). Geophysical data interpretation by inverse modeling: Proceedings of the ninth International Seminar on Model Optimization in Exploration Geophysics, Berlin, 1991. Vieweg, 1993.

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Akademiyası, Azärbaycan Milli Elmlär, ed. Akademik Tofiq Mämmäd oğlu Äliyev. Elm, 2011.

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Wierzbicki, A. P., and M. Grauer. Interactive Decision Analysis: Proceedings of an International Workshop on Interactive Decision Analysis and Interpretative Computer Intelligence Held at the International Institute for Applied Systems Analysis , Laxenburg, Austria September 20-23 1983. Springer London, Limited, 2013.

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Garbi, Madalina. The general principles of echocardiography. Oxford University Press, 2011. http://dx.doi.org/10.1093/med/9780199599639.003.0001.

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Knowledge of basic ultrasound principles and current echocardiography technology features is essential for image interpretation and for optimal use of equipment during image acquisition and post-processing.Echocardiography uses ultrasound waves to generate images of cardiovascular structures and to display information regarding the blood flow through these structures.The present chapter starts by presenting the physics of ultrasound and the construction and function of instruments. Image formation, optimization, display, presentation, storage, and communication are explained. Advantages and di

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Garbi, Madalina, Jan D’hooge, and Evgeny Shkolnik. General principles of echocardiography. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780198726012.003.0001.

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Echocardiography uses ultrasound waves to generate images of cardiovascular structures and to display information regarding the blood flow through these structures. Knowledge of basic ultrasound principles and current technology is essential for image interpretation and for optimal use of equipment during image acquisition and post-processing. This chapter starts by presenting the physics of ultrasound and the construction and function of instruments. Image formation, optimization, display, presentation, storage, and communication are explained. Advantages and disadvantages of available imagin

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Cook, Byron, and Andreas Podelski. Verification, Model Checking, and Abstract Interpretation: 8th International Conference, VMCAI 2007, Nice, France, January 14-16, 2007, Proceedings. Springer London, Limited, 2007.

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Emerson, E. Allen, and Kedar S. Namjoshi. Verification, Model Checking, and Abstract Interpretation: 7th International Conference, VMCAI 2006, Charleston, SC, USA, January 8-10, 2006, Proceedings. Springer London, Limited, 2005.

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Chapitres de livres sur le sujet "Interpretative Optimization"

Pachecho, Cecilia, Fatima Calouro, and Anabela Andrade. "Interpretative indices for leaf analysis in vineyards of the Portuguese region of Bairrada." In Optimization of Plant Nutrition. Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-017-2496-8_8.

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Johannes, Wolfgang Jacoby, and Peter L. Smilde. "Optimization and Inversion." In Gravity Interpretation. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-85329-9_7.

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Nagurney, Anna. "Variational Inequalities: Geometric Interpretation, Existence, and Uniqueness." In Encyclopedia of Optimization. Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-030-54621-2_697-1.

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Nakayama, Hirotaka. "Lagrange Duality and Its Geometric Interpretation." In Mathematics of Multi Objective Optimization. Springer Vienna, 1985. http://dx.doi.org/10.1007/978-3-7091-2822-0_5.

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Pilgun, Maria, and Nailia Gabdrakhmanova. "Data and Text Interpretation in Social Media: Urban Planning Conflicts." In Data Analysis and Optimization. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-31654-8_18.

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Duch, Włodzisław, Norbert Jankowski, Krzysztof Grąbczewski, and Rafał Adamczak. "Optimization and Interpretation of Rule-Based Classifiers." In Intelligent Information Systems. Physica-Verlag HD, 2000. http://dx.doi.org/10.1007/978-3-7908-1846-8_1.

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Traneva, Velichka, and Stoyan Tranev. "On Index-Matrix Interpretation of Interval-Valued Intuitionistic Fuzzy Hamiltonian Cycle." In Recent Advances in Computational Optimization. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-82397-9_17.

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Jacobs, J. A. C., and Th J. A. Kemme. "Integration of Recently Developed Seismic Data Processing and Interpretation Algorithms in an Interactive Seismic Data Interpretation System." In Optimization of the Production and Utilization of Hydrocarbons. Springer Netherlands, 1992. http://dx.doi.org/10.1007/978-94-011-2256-6_5.

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Nolet, Guust. "Partitioned Nonlinear Optimization for the Interpretation of Seismograms." In Inverse Problems in Wave Propagation. Springer New York, 1997. http://dx.doi.org/10.1007/978-1-4612-1878-4_19.

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Traneva, Velichka, and Stoyan Tranev. "Index-Matrix Interpretation of a Two-Stage Three-Dimensional Intuitionistic Fuzzy Transportation Problem." In Recent Advances in Computational Optimization. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-06839-3_10.

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Actes de conférences sur le sujet "Interpretative Optimization"

Liu, Baisen, Dongchuan Yang, and Weili Kong. "Interpretation and Optimization of Shallow Convolutional Filters." In 2024 IEEE International Conference on Progress in Informatics and Computing (PIC). IEEE, 2024. https://doi.org/10.1109/pic62406.2024.10892778.

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Kocak, Onur, Ziya Telatar, and Cansel Ficici. "Identification and Interpretation of Focal Center of Brain Activity from EEG Signal Recordings." In 2025 7th International Congress on Human-Computer Interaction, Optimization and Robotic Applications (ICHORA). IEEE, 2025. https://doi.org/10.1109/ichora65333.2025.11017230.

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Arroyo-Bonifaz, Luis, Cesar Osorio-Guerra, and Willy Ugarte. "Improving Radiological Interpretation through Optimization of Radiographs using Vision Transformers." In 2025 37th Conference of Open Innovations Association (FRUCT). IEEE, 2025. https://doi.org/10.23919/fruct65909.2025.11007989.

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Vats, Shaurya, Sai Phani Chatti, Aravind Devanand, Sandeep Krishnan, and Rohit Karanth Kota. "Empowering LLMs for Mathematical Reasoning and Optimization: A Multi-Agent Symbolic Regression System." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.172269.

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Understanding data with complex patterns is a significant part of the journey toward accurate data prediction and interpretation. The relationships between input and output variables can unlock diverse advancement opportunities across various processes. However, most AI models attempting to uncover these patterns are not explainable or remain opaque, offering little interpretation. This paper explores an approach in explainable AI by introducing a multi-agent system (MaSR) for extracting equations between features using data. We developed a novel approach to perform symbolic regression by disc

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Westeng, Kjetil, Yann Van Crombrugge, Christian Nilsen Lehre, Peder Aursand, and Tanya Kontsedal. "Data-Driven Petrophysics: An Automated Approach to Parameter Optimization in Well Log Interpretation." In 2024 SPWLA 65th Annual Symposium. Society of Petrophysicists and Well Log Analysts, 2024. https://doi.org/10.30632/spwla-2024-0134.

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In petrophysics, big data, comprising both core measurements and dynamic statistics, offers transformative potential for interpreting well logs using empirical evidence. This study investigates the practical applications of these data types, emphasizing their utility in automated interpretation systems. The primary aim is to leverage data analytics to delineate the distribution of petrophysical properties through a comprehensive analysis of dynamic curve statistics and rock databases. Building upon the foundational work of automated shale volume interpretation introduced in 2023 by Westeng et

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Bankert, Raymond J., Vinod K. Singh, and Harindra Rajiyah. "Model Based Diagnostics and Prognosis System for Rotating Machinery." In ASME 1995 International Gas Turbine and Aeroengine Congress and Exposition. American Society of Mechanical Engineers, 1995. http://dx.doi.org/10.1115/95-gt-252.

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A PC-based automated mechanical vibration diagnostic and prognosis system for rotating machinery is under development by integrating AI-expert system-based interpretative capabilities with rotor dynamics based modeling and numerical optimization techniques. Presented here are the details involved while generating a rotor dynamic simulator: A turbine-generator is properly modeled using the finite element approach to compute steady-state response. The bearing stiffness and damping properties are computed by numerically solving the Reynold’s equation. An optimizer software has been interfaced wit

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Oliveira, Francisco Fábio de, Diego Pereira, Douglas D. J. de Macedo, Geraldo Pereira Rocha Filho, and Roger Immich. "IrrigaFlow: An IoT Architecture Integrated with Fuzzy Logic for Sustainable Agricultural Irrigation Optimization." In Simpósio Brasileiro de Sistemas de Informação. Sociedade Brasileira de Computação, 2025. https://doi.org/10.5753/sbsi.2025.246547.

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Context: The growing demand for food security and the scarcity of natural resources pose global challenges, particularly in agriculture, which accounts for a significant portion of water consumption. In Brazil, agriculture holds substantial economic importance, but its intensive water use calls for more sustainable practices. Problem: Managing irrigation adaptively and efficiently is challenging due to the complexity of multiple environmental variables. This reduces water-use efficiency and negatively impacts agricultural productivity. Solution: IrrigaFlow is a modular architecture that automa

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Kisacanin, Branislav. "Integral Image Optimizations for Embedded Vision Applications." In Interpretation (SSIAI). IEEE, 2008. http://dx.doi.org/10.1109/ssiai.2008.4512315.

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Mahfouz, Ahmed, Ahmad Mohammad Ahmad, Shimaa Basheir Abdelkarim, et al. "Marketing Strategies for Smart Buildings." In The 2nd International Conference on Civil Infrastructure and Construction. Qatar University Press, 2023. http://dx.doi.org/10.29117/cic.2023.0030.

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Globally, there is a growing proportion of the need to optimize monitoring and facility management of new and existing built facilities. Smart buildings provide waste reduction to the environment, flexibility to facility users, and optimization opportunities to the owner. Several research projects explore the monitoring, management, and maintenance of smart buildings towards efficient facility management (FM). However, there is a lack of defined, effective, efficient, and successful marketing schemes for smart buildings. Furthermore, smart buildings utilize the different technological possibil

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Chai, Joyce Y., Pengyu Hong, Michelle X. Zhou, and Zahar Prasov. "Optimization in multimodal interpretation." In the 42nd Annual Meeting. Association for Computational Linguistics, 2004. http://dx.doi.org/10.3115/1218955.1218956.

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Rapports d'organisations sur le sujet "Interpretative Optimization"

Borgwardt, Stefan, and Veronika Thost. Temporal Query Answering in EL. Technische Universität Dresden, 2015. http://dx.doi.org/10.25368/2022.214.

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Context-aware systems use data about their environment for adaptation at runtime, e.g., for optimization of power consumption or user experience. Ontology-based data access (OBDA) can be used to support the interpretation of the usually large amounts of data. OBDA augments query answering in databases by dropping the closed-world assumption (i.e., the data is not assumed to be complete any more) and by including domain knowledge provided by an ontology. We focus on a recently proposed temporalized query language that allows to combine conjunctive queries with the operators of the well-known pr

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Alwan, Iktimal, Dennis D. Spencer, and Rafeed Alkawadri. Comparison of Machine Learning Algorithms in Sensorimotor Functional Mapping. Progress in Neurobiology, 2023. http://dx.doi.org/10.60124/j.pneuro.2023.30.03.

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Objective: To compare the performance of popular machine learning algorithms (ML) in mapping the sensorimotor cortex (SM) and identifying the anterior lip of the central sulcus (CS). Methods: We evaluated support vector machines (SVMs), random forest (RF), decision trees (DT), single layer perceptron (SLP), and multilayer perceptron (MLP) against standard logistic regression (LR) to identify the SM cortex employing validated features from six-minute of NREM sleep icEEG data and applying standard common hyperparameters and 10-fold cross-validation. Each algorithm was tested using vetted feature

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