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Journal articles on the topic 'Informative systems'

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1

Ramachandran, G. "Informative Fire Warning Systems." Fire Technology 27, no. 1 (1991): 66–81. http://dx.doi.org/10.1007/bf01039528.

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2

Politser, P. E. "How to make laboratory information more informative." Clinical Chemistry 32, no. 8 (1986): 1510–16. http://dx.doi.org/10.1093/clinchem/32.8.1510.

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Abstract I review psychological literature relevant to the design of medical laboratory data reports and computer display systems, illustrate how to improve such systems, and discuss needs for further research.
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3

Arattano, M., V. Coviello, M. Cavalli, et al. "Brief Communication: A new testing field for debris flow warning systems." Natural Hazards and Earth System Sciences 15, no. 7 (2015): 1545–49. http://dx.doi.org/10.5194/nhess-15-1545-2015.

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Abstract. A permanent field installation for the systematic test of debris flow warning systems and algorithms has been equipped on the eastern Italian Alps. The installation was also designed to produce didactic videos and it may host informative visits. The populace education is essential and should be envisaged in planning any research on hazard mitigation interventions: this new installation responds to this requirement and offers an example of integration between technical and informative needs. The occurrence of a debris flow in 2014 allowed the first tests of a new warning system under
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4

Vladimirov, Sergey, and Vladimir Negrul. "Comparative analysis of some chaotic synchronous communication systems." Izvestiya VUZ. Applied Nonlinear Dynamics 8, no. 6 (2001): 53–64. http://dx.doi.org/10.18500/0869-6632-2000-8-6-53-64.

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The task of experimental investigation of some synchronous chaotic communication systems in order to compare their qualitative and energy features is formulated and solved in this paper. The first of investigated systems was а receiver—transmitter device with additive mixing of an informative component to a chaotic carrying signal, second — а device with nonlinear injecting о informative component into the source of chaotic oscillations, third — a structure of communication combining the additive mixing at the transmitting side and synchronous chaotic response at the receiving side. For object
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Mahapatra, Dwarikanath, Behzad Bozorgtabar, Zongyuan Ge, Mauricio Reyes, and Jean-Philippe Thiran. "Combining Graph Transformers Based Multi-Label Active Learning and Informative Data Augmentation for Chest Xray Classification." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 19 (2024): 21378–86. http://dx.doi.org/10.1609/aaai.v38i19.30133.

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Informative sample selection in active learning (AL) helps a machine learning system attain optimum performance with minimum labeled samples, thus improving human-in-the-loop computer-aided diagnosis systems with limited labeled data. Data augmentation is highly effective for enlarging datasets with less labeled data. Combining informative sample selection and data augmentation should leverage their respective advantages and improve performance of AL systems. We propose a novel approach to combine informative sample selection and data augmentation for multi-label active learning. Conventional
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Hamame, Carlos M., Diego Cosmelli, and Francisco Aboitiz. "What is so informative about information?" Behavioral and Brain Sciences 30, no. 4 (2007): 371–72. http://dx.doi.org/10.1017/s0140525x07002300.

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AbstractUnderstanding evolution beyond a gene-centered vision is a fertile ground for new questions and approaches. However, in this systemic perspective, we take issue with the necessity of the concept of information. Through the example of brain and language evolution, we propose the autonomous systems theory as a more biologically relevant framework for the evolutionary perspective offered by Jablonka & Lamb (J&L).
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7

Patokorpi, Erkki. "Information Pluralism and Some Informative Modes of Ignorance." Information 2, no. 1 (2011): 41–60. http://dx.doi.org/10.3390/info2010041.

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8

Niehaus, K. E., P. Charlton, G. W. Colopy, and D. A. Clifton. "Health Informatics via Machine Learning for the Clinical Management of Patients." Yearbook of Medical Informatics 24, no. 01 (2015): 38–43. http://dx.doi.org/10.15265/iy-2015-014.

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Summary Objectives: To review how health informatics systems based on machine learning methods have impacted the clinical management of patients, by affecting clinical practice. Methods: We reviewed literature from 2010-2015 from databases such as Pubmed, IEEE xplore, and INSPEC, in which methods based on machine learning are likely to be reported. We bring together a broad body of literature, aiming to identify those leading examples of health informatics that have advanced the methodology of machine learning. While individual methods may have further examples that might be added, we have cho
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Bryk, Oleksandr, and Oleh Pastukh. "Extraction of important data for cognitive software systems based on data science." Scientific journal of the Ternopil national technical university 117, no. 1 (2025): 62–66. https://doi.org/10.33108/visnyk_tntu2025.01.062.

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In the era of data technologies for medical diagnostic cognitive software systems, new informative data has been obtained based on topological data analysis in the form of Betti numbers. These new, more informative data can be applied to medical diagnostic cognitive software systems and obtain a higher accuracy in the diagnosis of neurodegenerative diseases, which is extremely important, since the choice of a patient's treatment protocol depends on their accuracy. The higher accuracy of the functioning of medical diagnostic cognitive software systems is achieved due to the fact that new inform
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Smrkovskаyа, V. Yu, and T. E. Myroliubova. "Corporate management systems by logistic companies in modern conditions of organizational structures transformation." Transport development, no. 1(2) (June 27, 2018): 147–57. http://dx.doi.org/10.33082/td.2018.1-2.14.

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In the article reasons of transformation of organizational structures of enterprises of different spheres of activity are investigational in general and logistic − in particular in the modern terms of market economy. It is well-proven that expansion of borders of enterprises and passing to the flexible structure of management provide competitive edges. The corporate informative systems are the necessary condition of creation of network enterprises providing single informative space for all his participants.
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TIGELAAR, HARRY H. "Informative sampling for multivariate ARMAX systems." International Journal of Systems Science 21, no. 12 (1990): 2663–71. http://dx.doi.org/10.1080/00207729008910579.

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12

Liu, Li, Jayne E. Telford, Ana Knezevic, and Pauline M. Rudd. "High-throughput glycoanalytical technology for systems glycobiology." Biochemical Society Transactions 38, no. 5 (2010): 1374–77. http://dx.doi.org/10.1042/bst0381374.

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The development of glycoanalytical HPLC-based high-throughput technology has greatly enhanced the study of glycobiology, facilitating the discovery of disease-related solutions and providing an informative view of glycosylation and its relationship with other biological disciplines in a systems biology approach.
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13

Sudakov, K. V. "THE INFORMATIVE MECHANISMS OF SYSTEMIC ORGANIZATION OF PSYCHIC ACTIVITY." Annals of the Russian academy of medical sciences 67, no. 8 (2012): 53–56. http://dx.doi.org/10.15690/vramn.v67i8.350.

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In this review on the basis of functional systems theory developed by P. Anokhin theoretical approaches to informative mechanisms of systemic organization of psychic activity are presented. Author formulates the conception on discrete system quantums of psychic and behavioral activity from needs to its satisfaction and develops its informative equivalents. It was shown that informative equivalents of needs and its satisfaction are reflected in structures of action acceptors in the form of dynamic informative images. On the basis of acceptors of results of action informative systemic quantums a
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14

Vilalta-Perdomo, Eliseo Luis, and Rebecca Herron. "Individual Actions as Community Informative Resources. A Collective Informative Systems Approach." Systemic Practice and Action Research 31, no. 6 (2018): 581–98. http://dx.doi.org/10.1007/s11213-018-9441-3.

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15

Tudor, Leahu. "Informational aspect of the process of functioning of unitary integrated informatics systems." Sustainable Engineering and Innovation 5, no. 2 (2023): 303–14. http://dx.doi.org/10.37868/sei.v5i2.id235.

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The relevance of the subject under study is determined by the considerable spread of information technology in all spheres of modern life and the impact of informatics systems on society. The purpose of this study was to investigate the essence and resource of the integrated unitary management process, which formulates and reveals the concept of integrated unitary management process, its specified content, categories of resources, their interrelation, differentiation from the informative side of the functioning of this process, the sequence of integration of its elements. The conceptual essenc
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16

Lazaro, Juan. "Clinical Decision Support Systems in Critical Care during Covid-19." Clinical Medical Reviews and Reports 3, no. 2 (2021): 01. http://dx.doi.org/10.31579/2690-8794/064.

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We congratulate Alexander Supady and colleagues for their recent informative work on rationing decisions for COVID-19 patients when resources are scarce. We appreciate the proposal of involving triage committees in the application of rationing. However, we suggest that the clinical needs are somewhat broader than those discussed in this work.
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17

Park, G. K. "Selected Papers from ISIS 2007." Journal of Advanced Computational Intelligence and Intelligent Informatics 12, no. 6 (2008): 487. http://dx.doi.org/10.20965/jaciii.2008.p0487.

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The 8th International Symposium on Advanced Intelligent Systems (ISIS 2007), a biennial joint conference between Korea and Japan, focuses on artificial intelligence, intelligent systems, information technology, and their applications. ISIS 2007, held on September 5-8 at Soraksan National Park under the auspices of the Korea Fuzzy Logic and Intelligent Systems Society (KFIS), was attended by 265 researchers, engineers, and other professionals and featured 206 presentations. Of more than 20 papers preliminarily selected and reviewed by the ISIS 2007 International Program Committees, 7 were chose
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18

Rouhani, Saeed, and Mobin Mehri. "Empowering benefits of ERP systems implementation: empirical study of industrial firms." Journal of Systems and Information Technology 20, no. 1 (2018): 54–72. http://dx.doi.org/10.1108/jsit-05-2017-0038.

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Purpose Enterprise resource planning (ERP) is a useful system in today’s organizations that can lead to numerous benefits for them. The employees and managers are the most important stakeholders of this system that can both affect it and be affected by it. This paper aims to study the empowerment benefits resulted from ERP implementation in industrial companies. Design/methodology/approach This paper investigated the ERP benefits through survey by defining 31 empowering benefits for this enterprise system based on reviewing the literature and classifying them into four groups of empowering ben
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19

Spirin, Oleg M., та Oksana A. Odud. "МОДЕЛЬ ФОРМУВАННЯ ІНФОРМАЦІЙНО-КОМУНІКАЦІЙНОЇ КОМПЕТЕНТНОСТІ ДОКТОРА ФІЛОСОФІЇ НА ОСНОВІ ВИКОРИСТАННЯ ХМАРНИХ СЕРВІСІВ GOOGLE SCHOLAR". Information Technologies and Learning Tools 56, № 6 (2016): 204. http://dx.doi.org/10.33407/itlt.v56i6.1489.

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This article deals with the problem of the formation of IC-competence of Ph.D. based on the using of international scientometric systems cloud services, including system Google Scholar. It is justified and specified the concept of "informative-communicative competence of Ph.D." It is defined the model of the formation of informative-communicative competence of Ph.D. through the using of cloud informative-analytical services of the system Google Scholar in training PhD which based on the main scientific approaches in teaching adults. The model consists of five components: target, organizational
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20

Xie, Longfei, Fengri Li, Lianjun Zhang, Faris Rafi Almay Widagdo, and Lihu Dong. "A Bayesian Approach to Estimating Seemingly Unrelated Regression for Tree Biomass Model Systems." Forests 11, no. 12 (2020): 1302. http://dx.doi.org/10.3390/f11121302.

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Accurate estimation of tree biomass is required for accounting for and monitoring forest carbon stocking. Allometric biomass equations constructed by classical statistical methods are widely used to predict tree biomass in forest ecosystems. In this study, a Bayesian approach was proposed and applied to develop two additive biomass model systems: one with tree diameter at breast height as the only predictor and the other with both tree diameter and total height as the predictors for planted Korean larch (Larix olgensis Henry) in the Northeast, P.R. China. The seemingly unrelated regression (SU
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21

LANDE, D., and V. FURASHEV. "Issues of classification and recognition of information in the construction of information and analytical systems." INFORMATION AND LAW, no. 3(3) (October 21, 2011): 142–55. http://dx.doi.org/10.37750/2616-6798.2011.3(3).271673.

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22

Kuzmich, Roman, Alena Stupina, Andrey Yasinskiy, Mariia Pokushko, Roman Tsarev, and Ivan Boubriak. "Construction of a Compact and High-Precision Classifier in the Inductive Learning Method for Prediction and Diagnostic Problems." Information 13, no. 12 (2022): 589. http://dx.doi.org/10.3390/info13120589.

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The study is dictated by the need to make reasonable decisions in the classification of observations, for example, in the problems of medical prediction and diagnostics. Today, as part of the digitalization in healthcare, decision-making by a doctor is carried out using intelligent information systems. The introduction of such systems contributes to the implementation of policies aimed at ensuring sustainable development in the health sector. The paper discusses the method of inductive learning, which can be the algorithmic basis of such systems. In order to build a compact and high-precision
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23

Arslan, M. Selçuk. "A Hysteresis-Based Steering Feel Model for Steer-by-Wire Systems." Mathematical Problems in Engineering 2017 (2017): 1–14. http://dx.doi.org/10.1155/2017/2313529.

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A mathematical model of steering feel based on a hysteresis model is proposed for Steer-by-Wire systems. The normalized Bouc-Wen hysteresis model is used to describe the steering wheel torque feedback to the driver. By modifying the mathematical model of the hysteresis model for a steering system and adding custom parameters, the availability of adjusting the shape of steering feel model for various physical and dynamic conditions increases. Addition of a term about the tire dynamics to the steering feel model renders the steering wheel torque feedback more informative about the tire road inte
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Levy, Sylviane, and Fernando Gamboa. "Quality Requirements for Multimedia Interactive Informative Systems." Journal of Software Engineering and Applications 06, no. 08 (2013): 416–25. http://dx.doi.org/10.4236/jsea.2013.68051.

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25

Chalfant, James A. "Estimation of Demand Systems Using Informative Priors." American Journal of Agricultural Economics 75, no. 5 (1993): 1200–1205. http://dx.doi.org/10.2307/1243456.

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Garcia‐Romero, Daniel, and Carol Espy‐Wilson. "Automatic speaker recognition: Advances toward informative systems." Journal of the Acoustical Society of America 128, no. 4 (2010): 2394. http://dx.doi.org/10.1121/1.3508584.

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27

Mironov, Aleksander, Pavel Shalupina, Aleksander Pavlyukov, and Ivan Dobychin. "Simulation of wheel heating when drum braking." MATEC Web of Conferences 216 (2018): 03010. http://dx.doi.org/10.1051/matecconf/201821603010.

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Application of heating control systems is rational for effective prevention of thermal-mechanical damages of the wheels and brake shoes of rolling stock. These systems enable to perform diagnosis of brake equipment elements and to evaluate the effectiveness of drum braking process in terms of wheel heating. The present study aims to assess wheel heating when drum braking and to define the most informative zones and threshold control values for heating control systems. Heating evaluation is conducted using finite element method under different braking modes. Research results are given as heatin
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Arattano, M., V. Coviello, M. Cavalli, et al. "Brief Communication: A new testing field for debris flow warning systems and algorithms." Natural Hazards and Earth System Sciences Discussions 3, no. 3 (2015): 1717–29. http://dx.doi.org/10.5194/nhessd-3-1717-2015.

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Abstract. Early warning systems (EWSs) are among the measures adopted for the mitigation of debris flow hazards. EWSs often employ algorithms that require careful and long testing to grant their effectiveness. A permanent installation has been so equipped in the Gadria basin (Eastern Italian Alps) for the systematic test of event-EWSs. The installation is conceived to produce didactic videos and host informative visits. The populace involvement and education is in fact an essential step in any hazard mitigation activity and it should envisaged in planning any research activity. The occurrence
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Kang, Jinbeom, and Joongmin Choi. "Recognising Informative Web Page Blocks Using Visual Segmentation for Efficient Information Extraction." JUCS - Journal of Universal Computer Science 14, no. (11) (2008): 1893–910. https://doi.org/10.3217/jucs-014-11-1893.

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As web sites are getting more complicated, the construction of web information extraction systems becomes more troublesome and time-consuming. A common theme is the difficulty in locating the segments of a page in which the target information is contained, which we call the informative blocks. This article reports on the Recognising Informative Page Blocks algorithm (RIPB), which is able to identify the informative block in a web page so that information extraction algorithms can work on it more efficiently. RIPB relies on an existing algorithm for vision-based page block segmentation to analy
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Shea-Blymyer, Colin, Subhradeep Roy, and Benjamin Jantzen. "A General Metric for the Similarity of Both Stochastic and Deterministic System Dynamics." Entropy 23, no. 9 (2021): 1191. http://dx.doi.org/10.3390/e23091191.

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Many problems in the study of dynamical systems—including identification of effective order, detection of nonlinearity or chaos, and change detection—can be reframed in terms of assessing the similarity between dynamical systems or between a given dynamical system and a reference. We introduce a general metric of dynamical similarity that is well posed for both stochastic and deterministic systems and is informative of the aforementioned dynamical features even when only partial information about the system is available. We describe methods for estimating this metric in a range of scenarios th
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Safronov, Alexey Vladimirovich. "Hypothesis on the informative principles of voluntary and involuntary attention: on the theory of non-systems and causal environments in causal dualism." Философская мысль, no. 11 (November 2021): 66–83. http://dx.doi.org/10.25136/2409-8728.2021.11.36862.

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The subject of this research is certain informative principles of functionality of human nervous system. In the limelight is the interdependence of consciousness and information, as well as the question in the spirit of anti-physicalist arguments: whether the conscious processes are informative, and thus physical, or require a categorical apparatus for description? The first part of the article discusses possible wording of some informative principles of functionality of nervous system that answer the question “why” rather than “how”. The second part is
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Paton, C., M. Malik, and M. Househ. "The Challenges of Publishing on Health Informatics in Developing Countries." Applied Clinical Informatics 04, no. 03 (2013): 428–33. http://dx.doi.org/10.4338/aci-2013-04-ie-0030.

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SummaryThe Journal of Health Informatics in Developing Countries was established to meet a perceived need for Health Informaticians in developing countries to be able to share the results of their research in an affordable and easy-to-access online publication. The journal was developed using the open source platform “Open Journal System,” and has now published 67 articles across 13 issues. A collaborative editorial approach has been established to address the problems of limited research budgets, difficulties with translating to English and other problems specific to authors from developing c
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Chernomorets, Darya Andreevna, Andrey Alekseevich Chernomorets, Evgeniya Vitalievna Bolgova, and Maria Aleksandrovna Petina. "On estimating the size of informative fragments in the sea surface images." Research result. Information technologies 9, no. 2 (2024): 3–11. http://dx.doi.org/10.18413/2518-1092-2024-9-2-0-1.

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The paper proposes a solution to one of the problems arising in the construction of modern traffic safety systems in marine areas, namely, estimating the size of informative fragments in the image, which it seems advisable to use when detecting foreign objects on the sea surface image. It is proposed to estimate the size of informative fragments based on calculating the average distance between the contours of the wave elements visible in the image, such as their crests, depressions, etc. The contours of these wave elements are determined based on the Canny operator. The estimation of the size
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CAPOBIANCO, ENRICO. "FUNCTIONAL APPROXIMATION IN MULTISCALE COMPLEX SYSTEMS." Advances in Complex Systems 06, no. 02 (2003): 177–204. http://dx.doi.org/10.1142/s0219525903000840.

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One common approach for exploring, approximating and estimating complex system dynamics refers to models based on elementary or atomic building block components of easier interpretation and efficient computation. We adopt a combination of wavelets, greedy approximation and subspace techniques to investigate complex systems such as speculative financial markets. These systems are endowed with multiscale and non-stationary dynamics that we aim to artificially learn by using functional approximation and optimization theory. We show that volatility dynamics are embedded in a sequence of nested inf
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Albatran, Saher, Ammar Alatoum, and Abdel Rahman Al Khalaileh. "Informative Order-Reduction of Underdamped Third-Order Systems." IEEE Access 9 (2021): 88512–23. http://dx.doi.org/10.1109/access.2021.3090649.

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Volodymyr, Osypenko, Zlotenko Borys, Kulik Tetiana, et al. "Improved algorithm for matched-pairs selection of informative features in the problems of recognition of complex system states." Eastern-European Journal of Enterprise Technologies 2, no. 4(110) (2021): 48–54. https://doi.org/10.15587/1729-4061.2021.229756.

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The problem of computer diagnostics of complex systems is one of the non-trivial tasks of modern information technology. Such systems are, for example, computer networks, automatic and/or automated control systems for complex technological objects, including related to complex problems of environmental protection, biology, etc. In pattern recognition, one of the major problems is forming subspaces of informative features, which only in the «ensemble» allow diagnosing the states of such systems with a high degree of reliability. An effective approach to solving this problem based on
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Osypenko, Volodymyr, Borys Zlotenko, Tetiana Kulik, et al. "Improved algorithm for matched-pairs selection of informative features in the problems of recognition of complex system states." Eastern-European Journal of Enterprise Technologies 2, no. 4 (110) (2021): 48–54. http://dx.doi.org/10.15587/1729-4061.2021.229756.

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The problem of computer diagnostics of complex systems is one of the non-trivial tasks of modern information technology. Such systems are, for example, computer networks, automatic and/or automated control systems for complex technological objects, including related to complex problems of environmental protection, biology, etc. In pattern recognition, one of the major problems is forming subspaces of informative features, which only in the «ensemble» allow diagnosing the states of such systems with a high degree of reliability. An effective approach to solving this problem based on the princip
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Zhao, Dongfang, Jiafeng Liu, Rui Wu, Dansong Cheng, and Xianglong Tang. "An Active Exploration Method for Data Efficient Reinforcement Learning." International Journal of Applied Mathematics and Computer Science 29, no. 2 (2019): 351–62. http://dx.doi.org/10.2478/amcs-2019-0026.

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Abstract Reinforcement learning (RL) constitutes an effective method of controlling dynamic systems without prior knowledge. One of the most important and difficult problems in RL is the improvement of data efficiency. Probabilistic inference for learning control (PILCO) is a state-of-the-art data-efficient framework that uses a Gaussian process to model dynamic systems. However, it only focuses on optimizing cumulative rewards and does not consider the accuracy of a dynamic model, which is an important factor for controller learning. To further improve the data efficiency of PILCO, we propose
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Zakic, Mirjana. "The complementary nature of poetic and musical systems in ritual visits to households." Muzikologija, no. 9 (2009): 133–52. http://dx.doi.org/10.2298/muz0909133z.

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Analysis of poetic texts of the ritual - processions (koledari, lazarice kraljice) in Southeastern Serbia has proved that poetical systems facilitate the differentiation at all levels of semantic relations connected to ritual practice: from denotatum (the current, real objects to which the individual ritual acts refers), specific designatum (mutual concept of given ritual marked with existing denotata), to universal designata (general concept of all rituals, marked with specific designata and content denotata). However with the frequent absence of indexic references (refrains, specific frames
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Akhundjanov, Umidjon, Ravshanbek Zulunov, Ahror Kayumov, Xumora Goipova, Zarina Ermatova, and Muslimjon Sobirov. "Handwritten signature preprocessing for off-line recognition systems." E3S Web of Conferences 587 (2024): 03019. http://dx.doi.org/10.1051/e3sconf/202458703019.

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In the process of handwritten signature recognition, preliminary processing of the signature is an important step before identifying informative features. The signatures of one person always have some differences, in addition, they can be different colors, different sizes and orientations. Once signatures are digitized, their images may contain some noise. The purpose of preliminary processing of a signature image is to obtain the most invariant representation of a digital image of a person’s signature, which will allow him to be identified or to establish that the signature is forged.
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Lysenko, Iu Iu, Yu V. Kuts, V. M. Uchanin, and V. F. Petryk. "Research of oscillation mode in automated pulsed eddy current testing systems." Information extraction and processing 2021, no. 49 (2021): 9–18. http://dx.doi.org/10.15407/vidbir2021.49.009.

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The formation and analysis of eddy current probe signals obtained in pulsed excitation mode is considered. The proposed method of implementing pulsed eddy current testing with the formation of attenuating harmonic oscillations is more resistant to the effects of noise and interference that accompany the process of inspected object parameters evaluation. The equivalent scheme of the system “test object–eddy current probe” is developed and analyzed. The obtained mathematical model of the eddy current probe signals allowed proposing the natural frequency and the attenuation as informative signals
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Simonov, V. M. "ABOUT SCALE-TYPE ALGORITHMS NET’S STANDARDIZATION BY THE METHOD OF THEIR DIVISIBLE INTEGRATION." Informatization and communication, no. 1 (March 20, 2019): 96–101. http://dx.doi.org/10.34219/2078-8320-2019-10-1-96-101.

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The article is devoted to use the concept of divisible integration as the method for scale-type algorithms net’s standardization. It is emphasized succession of this concept attitude to schemes of informative systems binary integration.
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Abed, Ahmed, and Ikhlas Abdel-Qader. "RSS-Fingerprint Dimensionality Reduction for Multiple Service Set Identifier-Based Indoor Positioning Systems." Applied Sciences 9, no. 15 (2019): 3137. http://dx.doi.org/10.3390/app9153137.

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Indoor positioning systems (IPS) have been recently adopted by many researchers for their broad applications in various Internet of Things (IoT) fields such as logistics, health, construction industries, and security. Received Signal Strength (RSS)-based fingerprinting approaches have been widely used for positioning inside buildings because they have a distinct advantage of low cost over other indoor positioning techniques. The signal power RSS is a function of the distance between the Mobile System (MS) and Access Point (AP), which varies due to the multipath propagation phenomenon and human
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Yang, Mengyuan, Mengying Zhu, Yan Wang, et al. "Fine-Tuning Large Language Model Based Explainable Recommendation with Explainable Quality Reward." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 8 (2024): 9250–59. http://dx.doi.org/10.1609/aaai.v38i8.28777.

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Large language model-based explainable recommendation (LLM-based ER) systems can provide remarkable human-like explanations and have widely received attention from researchers. However, the original LLM-based ER systems face three low-quality problems in their generated explanations, i.e., lack of personalization, inconsistency, and questionable explanation data. To address these problems, we propose a novel LLM-based ER model denoted as LLM2ER to serve as a backbone and devise two innovative explainable quality reward models for fine-tuning such a backbone in a reinforcement learning paradigm
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Sosis, Richard, and Jordan Kiper. "Why religion is better conceived as a complex system than a norm-enforcing institution." Behavioral and Brain Sciences 37, no. 3 (2014): 275–76. http://dx.doi.org/10.1017/s0140525x13003038.

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AbstractAlthough religions, as Smaldino demonstrates, provide informative examples of culturally evolved group-level traits, they are more accurately analyzed as complex adaptive systems than as norm-enforcing institutions. An adaptive systems approach to religion not only avoids various shortcomings of institutional approaches, but also offers additional explanatory advantages regarding the cultural evolution of group-level traits that emerge from religion.
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S, Santhosh Kumar, Vishnu Vardhan S, Wasim Jaffar M, Sultan Saleem A, and Sharmasth Vali Y. "Social Communicative Extraction Analysis." International Research Journal of Multidisciplinary Technovation 2, no. 4 (2020): 4–10. http://dx.doi.org/10.34256/irjmt2042.

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The distinguishing proof of online networking networks has as of late been of significant worry, since clients taking an interest in such networks can add to viral showcasing efforts. Right now center around clients' correspondence considering character as a key trademark for recognizing informative systems for example systems with high data streams. We portray the Twitter Personality based Communicative Communities Extraction (T-PCCE) framework that recognizes the most informative networks in a Twitter organize chart thinking about clients' character. We at that point grow existing methodolog
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Rozenas, Arturas, and Sean M. Zeigler. "From ballot-boxes to barracks: Votes, institutions, and post-election coups." Journal of Peace Research 56, no. 2 (2018): 175–89. http://dx.doi.org/10.1177/0022343318779423.

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The military often intervenes in politics shortly after elections. This might be because election results reveal information about the ease with which a coup can succeed. Would-be coup perpetrators use this information to infer whether the incumbent can be removed from office without provoking popular unrest. We argue that the informational content of elections depends on the electoral rules that translate votes into outcomes. In electoral systems that incentivize strategic voting, election returns are less informative about the distribution of political support than in electoral systems that
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48

Tsarkova, E. "Intellectualization of decision making in security systems of protected objects." Journal of Physics: Conference Series 2131, no. 4 (2021): 042004. http://dx.doi.org/10.1088/1742-6596/2131/4/042004.

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Abstract The paper discusses the prospects for building decision blocks (DB) for modern security systems built on the basis of fiber optic detectors. An algorithm has been developed that makes it possible to train an artificial neural network as part of a DB. Approaches to the formation of a training sample are outlined. To reduce the dimension of the problem of recognizing informative signal features, an extreme filtering algorithm is presented, which makes it possible to increase the speed and accuracy of training.
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Siegel, Jared C., and Leslie A. Rogers. "Mass Upper Bounds for Over 50 Kepler Planets Using Low-S/N Transit Timing Variations." Astronomical Journal 164, no. 4 (2022): 139. http://dx.doi.org/10.3847/1538-3881/ac8985.

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Abstract Prospects for expanding the available mass measurements of the Kepler sample are limited. Planet masses have typically been inferred via radial velocity (RV) measurements of the host star or time-series modeling of transit timing variations (TTVs) in multiplanet systems; however, the majority of Kepler hosts are too dim for RV follow-up, and only a select number of systems have strong enough TTVs for time-series modeling. Here, we develop a method of constraining planet mass in multiplanet systems using low signal-to-noise ratio (S/N) TTVs. For a sample of 175 planets in 79 multiplane
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Hu, Fengpei, Huan Hu, Lian Xu, and Jungang Qin. "The Asymmetric Distribution of Informative Face Information during Gender Recognition." Perceptual and Motor Skills 116, no. 1 (2013): 106–17. http://dx.doi.org/10.2466/27.22.24.pms.116.1.106-117.

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