Bibliographies thématiques / Object decision

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Littérature scientifique sur le sujet « Object decision »

Auteur : Grafiati
Publié le 9 mars 2023
Mis à jour le 19 juillet 2025

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Articles de revues sur le sujet "Object decision"

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Vernon, David, and Toby J. Lloyd-Jones. "The Role of Colour in Implicit and Explicit Memory Performance." Quarterly Journal of Experimental Psychology Section A 56, no. 5 (2003): 779–802. http://dx.doi.org/10.1080/02724980244000684.

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We present two experiments that examine the effects of colour transformation between study and test (from black and white to colour and vice versa, or from incorrectly coloured to correctly coloured and vice versa) on implicit and explicit measures of memory for diagnostically coloured natural objects (e.g., yellow banana). For naming and coloured-object decision (i.e., deciding whether an object is correctly coloured), there were shorter response times to correctly coloured-objects than to black-and-white and incorrectly coloured-objects. Repetition priming was equivalent for the different st
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SIREGAR, ELIDA TUTI. "DECISION SUPPORT SYSTEM FOR AUCTION OBJECT SELECTION WITH THE TOPSIS METHOD." Jurnal Sistem Informasi Kaputama (JSIK ) 4, no. 1 (2020): 1–6. http://dx.doi.org/10.59697/jsik.v4i1.752.

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The object of auction of mortgage rights is an immovable object as a collateral item that is guaranteed by the debtor to the creditor. In the auction process requires an auction object that has the potential to facilitate the execution of the auction object. Potential Auction Object selection will be a solution in determining which objects are more potential to be auctioned and provide space to more easily execute which objects must be done first. However, in selecting an auction object, it will certainly experience difficulties because each debtor has almost the same criteria as location, bui
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Cho, Yongkyun, and Seymour Ginsburg. "Decision problems of object histories." Information and Computation 83, no. 2 (1989): 245–63. http://dx.doi.org/10.1016/0890-5401(89)90060-6.

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Preston, Stephanie D., and Andrew D. MacMillan-Ladd. "Object attachment and decision-making." Current Opinion in Psychology 39 (June 2021): 31–37. http://dx.doi.org/10.1016/j.copsyc.2020.07.019.

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Carlson, Thomas A., J. Brendan Ritchie, Nikolaus Kriegeskorte, Samir Durvasula, and Junsheng Ma. "Reaction Time for Object Categorization Is Predicted by Representational Distance." Journal of Cognitive Neuroscience 26, no. 1 (2014): 132–42. http://dx.doi.org/10.1162/jocn_a_00476.

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How does the brain translate an internal representation of an object into a decision about the object's category? Recent studies have uncovered the structure of object representations in inferior temporal cortex (IT) using multivariate pattern analysis methods. These studies have shown that representations of individual object exemplars in IT occupy distinct locations in a high-dimensional activation space, with object exemplar representations clustering into distinguishable regions based on category (e.g., animate vs. inanimate objects). In this study, we hypothesized that a representational
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Biedrzycki, Jedrzej, and Robert Burduk. "Integration of Decision Trees Using Distance to Centroid and to Decision Boundary." JUCS - Journal of Universal Computer Science 26, no. 6 (2020): 720–33. http://dx.doi.org/10.3897/jucs.2020.038.

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Plethora of ensemble techniques have been implemented and studied in order to achieve better classification results than base classifiers. In this paper an algorithm for integration of decision trees is proposed, which means that homogeneous base classifiers will be used. The novelty of the presented approach is the usage of the simultaneous distance of the object from the decision boundary and the center of mass of objects belonging to one class label in order to determine the score functions of base classifiers. This means that the score function assigned to the class label by each classifie
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Biedrzycki, Jedrzej, and Robert Burduk. "Integration of Decision Trees Using Distance to Centroid and to Decision Boundary." JUCS - Journal of Universal Computer Science 26, no. (6) (2020): 720–33. https://doi.org/10.3897/jucs.2020.038.

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Plethora of ensemble techniques have been implemented and studied in order to achieve better classification results than base classifiers. In this paper an algorithm for integration of decision trees is proposed, which means that homogeneous base classifiers will be used. The novelty of the presented approach is the usage of the simultaneous distance of the object from the decision boundary and the center of mass of objects belonging to one class label in order to determine the score functions of base classifiers. This means that the score function assigned to the class label by each classifie
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Huang, Zhili, Qiang He, Qinglan Chen, and Hongge Yue. "Hamming Similarity Programming Model for Multi-Attribute Decision-Making Objects with Attribute Values as Interval Numbers and Its Application." Symmetry 14, no. 10 (2022): 2203. http://dx.doi.org/10.3390/sym14102203.

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With regard to the interval number-based uncertain multi-attribute decision making problem, in which the attribute weights are unknown and there is no preference on decision-making alternative objects, this paper presents a new decision-making approach. In this method, Hamming distance firstly is used to define the Hamming similarity degree of normative interval numbers, and the Hamming similarity degree of decision-making alternative objects, and then the Hamming similarity superiority relation theory to the comparison of interval numbers is proposed and some relevant results are obtained. Th
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Zhang, Hongjun, Chengxiang Yin, Xiuli Qi, Rui Zhang, and Xingdang Kang. "Cognitive Best Worst Method for Multiattribute Decision-Making." Mathematical Problems in Engineering 2017 (2017): 1–11. http://dx.doi.org/10.1155/2017/1092925.

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Pairwise comparison based multiattribute decision-making (MADM) methods are widely used and studied in recent years. However, the perception and cognition towards the semantic representation for the linguistic rating scale and the way in which the pairwise comparisons are executed are still open to discuss. The commonly used ratio scale is likely to produce misapplications and the matrix based comparison style needs too many comparisons and is not able to guarantee the consistency of the matrix when the number of objects involved is large. This research proposes a new MADM method CBWM (Cogniti
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Arseniev, Vladimir, and Andrei Yadrenkin. "Selection of a given space object from the multitude observed by a specialized spacecraft." Information and Control Systems, no. 2 (May 11, 2022): 11–19. http://dx.doi.org/10.31799/1684-8853-2022-2-11-19.

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Introduction: For the detection of most dangerous artificial space objects (space junk) in near-earth space, it is planned to use specialized spacecraft equipped with optoelectronic devices. In relation to this a problem arose when selecting the most dangerous object from the observed multitude, based on the measurements of inhomogeneous selective features that characterize these objects. Purpose: To form a composite non-dimensional indicator that depends on the quantity and quality of measurement information about the observed space objects, and that determines the decision rule for selecting
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Thèses sur le sujet "Object decision"

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Li, Xiaobo 1976. "Decision support systems using object-oriented technology." Thesis, Massachusetts Institute of Technology, 2000. http://hdl.handle.net/1721.1/86539.

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Olafsson, Björgvin. "Partially Observable Markov Decision Processes for Faster Object Recognition." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-198632.

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Object recognition in the real world is a big challenge in the field of computer vision. Given the potentially enormous size of the search space it is essential to be able to make intelligent decisions about where in the visual field to obtain information from to reduce the computational resources needed. In this report a POMDP (Partially Observable Markov Decision Process) learning framework, using a policy gradient method and information rewards as a training signal, has been implemented and used to train fixation policies that aim to maximize the information gathered in each fixation. The p
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Lantz, Fredrik. "Terrain Object recognition and Context Fusion for Decision Support." Licentiate thesis, Linköping : Department of Computer and Information Science, Linköpings universitet, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-11926.

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Lo, Chih-Chung. "Using effect size in information fusion for identifying object presence and object quality /." free to MU campus, to others for purchase, 1996. http://wwwlib.umi.com/cr/mo/fullcit?p9823330.

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MAPELLI, CRISTINA. "Object decision: the interaction of semantic information and structural description system." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2013. http://hdl.handle.net/10281/44696.

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In the neuropsychological literature, visual object recognition is deemed to be subserved by structural information that is functionally independent from semantic memory. According to this view, the perceptual representation of the stimulus is compared with representations of objects previously seen and stored in the so-called “Structural Description System”, or SDS; when matching between representations occurs, the corresponding conceptual knowledge is activated. Recently, the functional independence of SDS has been challenged based on the evidence that patients affected by Semantic Dementia,
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Golder, P. A. "CORD : an object model supporting statistical summary information for management decision making." Thesis, Aston University, 1997. http://publications.aston.ac.uk/7972/.

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Information systems have developed to the stage that there is plenty of data available in most organisations but there are still major problems in turning that data into information for management decision making. This thesis argues that the link between decision support information and transaction processing data should be through a common object model which reflects the real world of the organisation and encompasses the artefacts of the information system. The CORD (Collections, Objects, Roles and Domains) model is developed which is richer in appropriate modelling abstractions than current
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Sandino, Mora Juan David. "Autonomous decision-making for UAVs operating under environmental and object detection uncertainty." Thesis, Queensland University of Technology, 2022. https://eprints.qut.edu.au/232513/1/Juan%20David_Sandino%20Mora_Thesis.pdf.

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This study established a framework that increases cognitive levels in small UAVs (or drones), enabling autonomous navigation in partially observable environments. The UAV system was validated under search and rescue by locating victims last seen inside cluttered buildings and in bushlands. This framework improved the decision-making skills of the drone to collect more accurate statistics of detected victims. This study assists validation processes of detected objects in real-time when data is complex to interpret for UAV pilots and reduces human bias on scouting strategies.
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Tao, Cheng. "Decision-Making Support by a Value-Driven Design Model." Thesis, Blekinge Tekniska Högskola, Institutionen för maskinteknik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-11881.

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This thesis analyses the use of value models as boundary objects to support decision making during conceptual design of Product-Service Systems. Compared to requirements-based models, value models are claimed to enhance understanding of the design problems and customer needs, as well as to help the design team in creating more value adding solutions. The work of this thesis was to prepare, conduct and analyse a series of design experiments, which are are based on the continuous observations of designers’ verbalized design considerations. Protocol analysis was conducted to investigate how value
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Liu, Dingfei. "An object-oriented approach to structuring multicriteria decision support in natural resource management problems." Doctoral thesis, University of Cape Town, 2001. http://hdl.handle.net/11427/4384.

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Includes bibliographical references.<br>The undertaking of MCDM (Multicriteria Decision Making) and the development of DSSs (Decision Support Systems) tend to be complex and inefficient, leading to low productivity in decision analysis and DSSs. Towards this end, this study has developed an approach based on object orientation for MCDM and DSS modelling, with the emphasis on natural resource management. The object-oriented approach provides a philosophy to model decision analysis and DSSs in a uniform way, as shown by the diagrams presented in this study. The solving of natural resource manage
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Ehtiati, Tina. "Strongly coupled Bayesian models for interacting object and scene classification processes." Thesis, McGill University, 2007. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=102975.

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In this thesis, we present a strongly coupled data fusion architecture within a Bayesian framework for modeling the bi-directional influences between the scene and object classification mechanisms. A number of psychophysical studies provide experimental evidence that the object and the scene perception mechanisms are not functionally separate in the human visual system. Object recognition facilitates the recognition of the scene background and also knowledge of the scene context facilitates the recognition of the individual objects in the scene. The evidence indicating a bi-directional exchang
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Livres sur le sujet "Object decision"

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Goldberg, Adele. Succeeding with objects: Decision frameworks for project management. Addison-Wesley, 1995.

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Ying, Liu. A pattern directed approach towards an object adaptive decision support environment for water resources management. Delft University Press, 1995.

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International Conference on Systems Research, Informatics, and Cybernetics (19th 2007 Baden-Baden, Germany). Advances in environmental systems research: Sustainability, environmental sciences, support systems : effects of electromagnetic exposition on honeybees, principles of neuro-empirism and dynamic models, application of stochastic networks, sustainability of fuzzy theory, object oriented analysis, integrated logistic support principles, business information management system, sustainable decision support systems, health service delivery. International Institute for Advanced Studies in Systems Research and Cybernetics, 2007.

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International Conference on Systems Research, Informatics, and Cybernetics (19th 2007 Baden-Baden, Germany). Advances in environmental systems research: Sustainability, environmental sciences, support systems : effects of electromagnetic exposition on honeybees, principles of neuro-empirism and dynamic models, application of stochastic networks, sustainability of fuzzy theory, object oriented analysis, integrated logistic support principles, business information management system, sustainable decision support systems, health service delivery. International Institute for Advanced Studies in Systems Research and Cybernetics, 2007.

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Novosel'cev, Viktor, Sergey Kochedykov, Dar'ya Orlova, Kirill Plyuschik, L. Rossihina, and I. Goncharov. Conflict-active project management for the development of information security systems of infocommunication networks. INFRA-M Academic Publishing LLC., 2023. http://dx.doi.org/10.12737/1921360.

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The object of study in the monograph is the conflict "information security system of infocommunication networks of critical socio-economic infrastructure objects — an attacker (criminal element)". The subject of the research is the development of a methodology for conflict-active project management for the development of information security systems for these networks, including models for supporting project decision-making. The theoretical basis of the above is the provisions of system analysis, the theory of management and decision-making, the theory of active systems, the theory of informat
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1935-, Lasker G. E., International Institute for Advanced Studies in Systems Research and Cybernetics., and International Conference on Systems Research, Informatics and Cybernetics (9th : 1997 : Baden-Baden, Germany), eds. Advances in database and expert systems: Design issues, data mining, object-oriented databases, generic model for knowledge bases, rapid database prototyping, knowledge-based tools in decision support systems. International Institute for Advanced Studies in Systems Research and Cybernetics, 1997.

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Steen, Andreassen, Engelbrecht R, Wyatt J, and European Society for Artificial Intelligence in Medicine., eds. Artificial intelligence in medicine: Proceedings of the 4th Conference on Artificial Intelligence in Medicine Europe, 3-6 October 1993. IOS Press, 1993.

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Gurko, Aleksandr, and Tat'yana Sahnovich. Systematic research of economic objects. INFRA-M Academic Publishing LLC., 2025. https://doi.org/10.12737/2189088.

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The monograph presents the authors' view on the system analysis of economic objects. In accordance with the logic of systems research, the first part of the book examines an economic object: its consistency, functions, structure, external environment, management, and modeling methods. The second part is devoted to system analysis and evaluation, with special attention paid to solving the problem of choice in management. Approaches to assessing the quality and effectiveness of management decisions, modeling the manager's activities, and researching management adaptation problems are also consid
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Nassarawa State (Nigeria). Administrative Panel on the Stool of Osuko of Obi. Government views and decisions on the report of the Administrative Panel on the Stool of Osuko of Obi. s.n., 2003.

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Orlova, Dar'ya, Sergey Kochedykov, Vyacheslav Chertov, and Viktor Novosel'cev. LANGUAGE TOOLS FOR CREATING INFORMATION TECHNOLOGIES FOR INTELLIGENT DECISION-MAKING SUPPORT. INFRA-M Academic Publishing LLC., 2024. http://dx.doi.org/10.12737/2129777.

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The monograph deals with the problem of choosing language tools for the creation of information technologies of intellectual decision support in the management of critical objects of the social sphere. It includes seven chapters: introductory chapter - system understanding of information technology of intellectual decision support; language of matrices; logical languages (calculus of statements and predicate calculus); language of semantic networks; language of fuzzy sets; language of frames; language of artificial neural networks; language of mathematical optimization. Examples of using these
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Chapitres de livres sur le sujet "Object decision"

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Riddoch, M. Jane, and Glyn W. Humphreys. "Object Decision Task." In Borb. Psychology Press, 2022. http://dx.doi.org/10.4324/9781003069645-10.

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Spehr, Jens. "Object Recognition." In Studies in Systems, Decision and Control. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-11325-8_5.

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Ravat, Franck, and Olivier Teste. "Object-Oriented Decision Support System." In Enterprise Information Systems II. Springer Netherlands, 2001. http://dx.doi.org/10.1007/978-94-017-1427-3_6.

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Kashkevich, Svitlana, Iraida Stanovska, Oleh Shknai, Oleksandr Lytvynenko, Yevhen Artamonov, and Andrii Veretnov. "Scientific method apparatus for intellectual assessment of the state of complex systems." In DECISION SUPPORT SYSTEMS: MATHEMATICAL SUPPORT. TECHNOLOGY CENTER PC, 2025. https://doi.org/10.15587/978-617-8360-13-9.ch1.

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In this section of the research, a scientific and method apparatus for intelligent assessment of the state of complex systems is proposed. The basis of this research is the theory of artificial intelligence, namely evolving artificial neural networks, basic genetic algorithm procedures, neuro-fuzzy expert systems and bio-inspired algorithms. In the course of the research, the authors proposed:– the method approach to assessing the state of hierarchical systems using a metaheuristic algorithm;– the method of analysis and forecasting of the state of multidimensional objects using a metaheuristic algorithm;– the method of increasing the reliability of the assessment of the object state. The use of the proposed scientific and method apparatus will allow:– to reduce the probability of premature convergence of the metaheuristic algorithm;– to maintain a balance between the speed of convergence of the metaheuristic algorithm and diversification;– to take into account the type of uncertainty and noisy data of the metaheuristic algorithm;– to take into account the available computing resources of the state analysis system of the analysis object;– to take into account the priority of search by swarm agents of the metaheuristic algorithm;– to carry out the initial display of flock individuals taking into account the uncertainty type;– to conduct accurate training of individuals of metaheuristic algorithms;– to conduct a local and global search taking into account the degree of noise of the data on the state of the analysis object;– to apply as a universal tool for solving the task of analyzing the state of analysis objects due to the hierarchical description of analysis objects;– to check the reliability of the obtained results;– to increase the reliability of the assessment of the objects state of analysis due to the construction of object and relational models of their state with different degrees of hierarchy;– to avoid the local extremum problem.
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Moscowsky, A. D. "Extended Object Detection: Flexible Object Description System for Detection in Robotic Tasks." In Studies in Systems, Decision and Control. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-97004-8_3.

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Chaudhuri, Surajit, and Umeshwar Dayal. "Data warehousing and OLAP for decision support." In Deductive and Object-Oriented Databases. Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/3-540-63792-3_6.

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Saleh, Hadi, Sergey Zykov, and Alexander Legalov. "Eolang: Toward a New Java-Based Object-Oriented Programming Language." In Intelligent Decision Technologies. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-2765-1_30.

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Laurent, Guillaume. "Online Learning for Micro-Object Manipulation." In Markov Decision Processes in Artificial Intelligence. John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118557426.ch11.

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Nogin, Anton A., and Igor A. Konyakhin. "Optoelectronic SEMS for Preventing Object Destruction." In Studies in Systems, Decision and Control. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-32710-1_15.

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Hammouda, Ghassen, Atef Hammouda, and Dorra Sellami. "Complex Object Recognition Based on Multi-shape Invariant Radon Transform." In Intelligent Decision Technologies 2017. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-59424-8_2.

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Actes de conférences sur le sujet "Object decision"

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Utama, Ditdit Nugeraha. "Object Driven Fuzzy Decision Model for Evaluating the Cryptocurrency's Performance." In 2024 International Conference on ICT for Smart Society (ICISS). IEEE, 2024. http://dx.doi.org/10.1109/iciss62896.2024.10751607.

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Plataniotis, Georgios, Sybren de Kinderen, and Henderik A. Proper. "Relating Decisions in Enterprise Architecture Using Decision Design Graphs." In 2013 17th IEEE International Enterprise Distributed Object Computing Conference (EDOC 2013). IEEE, 2013. http://dx.doi.org/10.1109/edoc.2013.23.

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Yoon, Yeo Jung, and Satyandra K. Gupta. "A Sequential Decision Making Approach to Learn Process Parameters by Conducting Experiments on Sacrificial Objects." In ASME 2022 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/detc2022-89810.

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Abstract Learning the right process parameters is essential to efficiently and safely execute tasks in automated manufacturing applications. When there is a risk of damaging the object, conducting experiments on sacrificial objects is a good option to explore the process parameters before performing the tasks on the object of interest. However, using too many sacrificial objects can incur unnecessary costs. We want to know the right amount of sacrificial objects to identify the right process parameters while keeping the expected task completion cost to a minimum. To do this, we use a sequentia
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Zarghami, Alireza, Brahmananda Sapkota, Mohammad Zarifi Eslami, and Marten van Sinderen. "Decision as a Service: Separating Decision-making from Application Process Logic." In 2012 16th IEEE International Enterprise Distributed Object Computing Conference (EDOC 2012). IEEE, 2012. http://dx.doi.org/10.1109/edoc.2012.21.

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Kong, Qing, and Qingzhong Li. "Object Distinction Based on Decision Tree." In 2009 International Conference on Information Technology and Computer Science (ITCS 2009). IEEE, 2009. http://dx.doi.org/10.1109/itcs.2009.91.

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Ward, Matthew O., and Wai P. Lam. "Object Recognition with Adaptive Decision Trees." In 1989 Symposium on Visual Communications, Image Processing, and Intelligent Robotics Systems, edited by David P. Casasent. SPIE, 1990. http://dx.doi.org/10.1117/12.969786.

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Damak, Wafa, Issam Rebai, and Imene Khanfir Kallel. "Semantic object recognition by merging decision tree with object ontology." In 2014 International Conference on Advanced Technologies for Signal and Image Processing (ATSIP). IEEE, 2014. http://dx.doi.org/10.1109/atsip.2014.6834667.

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Ma, Juanjuan, Quan Pan, Jinwen Hu, Chunhui Zhao, Yaning Guo, and Dong Wang. "Small object detection with random decision forests." In 2017 IEEE International Conference on Unmanned Systems (ICUS). IEEE, 2017. http://dx.doi.org/10.1109/icus.2017.8278409.

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Sun, Yasheng, Tao He, Yinghong Peng, Jin Qi, and Jie Hu. "Prediction-Decision Network For Video Object Tracking." In 2020 IEEE International Conference on Image Processing (ICIP). IEEE, 2020. http://dx.doi.org/10.1109/icip40778.2020.9191145.

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Yao, Jun, Yong Zhang, Fang Liu, and Yi-cong Liu. "Object Detection Based On Decision Level Fusion." In 2019 Chinese Automation Congress (CAC). IEEE, 2019. http://dx.doi.org/10.1109/cac48633.2019.8997222.

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Rapports d'organisations sur le sujet "Object decision"

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Barnett, Barbara, Barry P. Goettl, Arthur F. Kramer, and Christopher D. Wickens. The Object Display in Decision Making and Judgment. Defense Technical Information Center, 1990. http://dx.doi.org/10.21236/ada227059.

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Johnson, R. An object-oriented approach to site characterization decision support. Office of Scientific and Technical Information (OSTI), 1995. http://dx.doi.org/10.2172/78721.

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Bragdon, Sophia, Vuong Truong, and Jay Clausen. Environmentally informed buried object recognition. Engineer Research and Development Center (U.S.), 2022. http://dx.doi.org/10.21079/11681/45902.

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The ability to detect and classify buried objects using thermal infrared imaging is affected by the environmental conditions at the time of imaging, which leads to an inconsistent probability of detection. For example, periods of dense overcast or recent precipitation events result in the suppression of the soil temperature difference between the buried object and soil, thus preventing detection. This work introduces an environmentally informed framework to reduce the false alarm rate in the classification of regions of interest (ROIs) in thermal IR images containing buried objects. Using a da
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Morrison, Clayton T., Paul R. Cohen, and Paola Sebastiani. On the Development of Visual Object Memory: The Stay/Go Decision Problem. Defense Technical Information Center, 2002. http://dx.doi.org/10.21236/ada461329.

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Chattaraman, Veena, Wi-Suk Kwon, Juan E. Gilbert, and Wanda Eugene. Human-Elaboration-Object-Construal Contingency Framework for Mobile Decision-Aids (MoDA©) in In-Store Shopping. Iowa State University, Digital Repository, 2016. http://dx.doi.org/10.31274/itaa_proceedings-180814-1436.

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Raja, Rameez Ali, Vidushi Toshniwal, and Rodrigo Salgado. GIS-Based Geotechnical Database for Collaborative GIS. Purdue University, 2023. http://dx.doi.org/10.5703/1288284317637.

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INDOT spends at least 8 million dollars annually on geotechnical site investigations, not including the amounts spent by contractors. The laborious and costly job of data collection in geotechnical practice requires the efficient storing and organizing of this valuable data to develop correlations and trends in spatially varying geotechnical data. INDOT currently uses gINT software for managing geotechnical data and ArcGIS for storing boring logs and geotechnical reports. The INDOT geotechnical office is pursuing means to improve the efficiency of their operations by developing a GIS-based geo
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Alsanea, Hamad, Athary Saleem, Fahad Alhamadi, and Mohammed Asad. Iatrogenic Abdominal Firm Lump: A Case Report of a Retained Surgical Item Detected 8 Years Post-Abdominoplasty. Science Repository, 2024. http://dx.doi.org/10.31487/j.crss.2024.01.01.

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Introduction and Importance: Retained surgical body (RSB) is unusual life-threatening condition occurred postoperatively. Despite its rarity, multiple protective and management policies were documented by policymakers. Case Presentation: A 62-year-old female patient presented with a few months’ history of abdominal mass. She presented to our hospital 8 years post-abdominoplasty that was performed in a private sector. The underlying cause of the abdominal mass was identified by abdominal and pelvic computed tomography (CT) with IV contrast as a surgically retained foreign tubular object. Then,
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Kuropiatnyk, D. I. Actuality of the problem of parametric identification of a mathematical model. [б. в.], 2018. http://dx.doi.org/10.31812/123456789/2885.

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The purpose of the article is to study the possibilities of increasing the efficiency of a mathematical model by identifying the parameters of an object. A key factor for parametrization can be called the consideration of properties of the values of the model at a specific time point, which allows a deeper analysis of data dependencies and correlation between them. However, such a technique does not always work, because in advance it is impossible to predict that the parameters can be substantially optimized. In addition, it is necessary to take into account the fact that minimization reduces
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Ayers, Dotson, and Alexander. L52332 Offshore Pipeline Damage Emergency Response Guidelines. Pipeline Research Council International, Inc. (PRCI), 2012. http://dx.doi.org/10.55274/r0010016.

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Subsea pipelines and flow lines are periodically subjected to damaging events such as anchor impacts that result in massive pipeline movements, dropped object damage, internal/external corrosion damage, etc. Knowing how to assess these damage events is often challenging, especially considering the potential for product release. The cost of production shut-ins can be significant and avoiding un-necessary shut-ins is desirable. While most pipeline operators have company-level procedures and programs in place for responding to pipeline emergencies, at the current time there is no single resource
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Daza Garzón, Claudia Liliana. Toma de decisión estadística. Ediciones Universidad Cooperativa de Colombia, 2022. http://dx.doi.org/10.16925/gcnc.31.

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La finalidad del presente material, de tipo académico, es concienciar y exhortar, a cualquier futuro profesional o a los que ya se encuentran en el ejercicio de su profesión, a ser objetivos en momentos de toma de decisión en un entorno cotidiano, laboral, científico o de índole profesional. Esta nota de clase se encuentra distribuida en tres partes: 1) conceptos generales de tipo estadístico y terminología específica sobre pruebas de hipótesis, 2) procedimiento de pruebas de hipótesis mediante el cálculo del estadístico de prueba y 3) desarrollo de situaciones que implican dicho proceso. Es d
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